Add function to refine FastSim DeepJet discriminators

[wolfmor]

PR description:

Requires: cms-data/PhysicsTools-NanoAOD#14

This PR adds a function that uses a regression neural network to refine the DeepJet discriminators of CHS jets in NanoAOD for FastSim to better match FullSim. The function can be called by including the option --customise PhysicsTools/NanoAOD/jetsAK4_CHS_cff.nanoAOD_refineFastSim_bTagDeepFlav in the cmsDriver command and requires the ONNX model added in the above mentioned PR to cms-data. The original values are copied to new variables named with the suffix "unrefined".

Due to a bug in ONNX runtime 1.10.0 (see here) graph optimization has to be disabled to evaluate the model. The corresponding option is implemented in BaseMVAValueMapProducer for the ONNX backend.

The technique has been presented at the FastSim Days 2022 Workshop.

A complete set of commands to produce NanoAOD files with refined DeepJet discriminators is:

cmsDriver.py TTbar_13TeV_TuneCUETP8M1_cfi --relval 100000,1000 -s GEN,SIM,RECOBEFMIX,DIGI:pdigi_valid,L1,DIGI2RAW,L1Reco,RECO,VALIDATION:@standardValidation,DQM:@standardDQMFS -n 10 --conditions auto:run2_mc --beamspot Realistic25ns13TeV2016Collision --datatier GEN-SIM-DIGI-RECO,DQMIO --eventcontent FEVTDEBUGHLT,DQM --fast --era Run2_2016 GEN,SIM,RECOBEFMIX,DIGI:pdigi_valid,L1,DIGI2RAW,L1Reco,RECO,VALIDATION:@standardValidation,DQM:@standardDQMFS

cmsDriver.py step3 -s PAT --era Run2_2016 -n -1 --conditions auto:run2_mc --mc --datatier MINIAODSIM --eventcontent MINIAODSIM --filein file:TTbar_13TeV_TuneCUETP8M1_cfi_GEN_SIM_RECOBEFMIX_DIGI_L1_DIGI2RAW_L1Reco_RECO_VALIDATION_DQM.root --fast

cmsDriver.py --python_filename NanoAODrefined_cfg.py --eventcontent NANOAODSIM --fast --customise Configuration/DataProcessing/Utils.addMonitoring,PhysicsTools/NanoAOD/jetsAK4_CHS_cff.nanoAOD_refineFastSim_bTagDeepFlav --datatier NANOAODSIM --fileout file:step3_NANO.root --conditions auto:run2_mc --step NANO --filein "file:step3_PAT.root" --era run2_nanoAOD_106Xv2 --mc -n -1

PR validation:

The neural network has been trained on GEN-synchronized FastSim/FullSim jet pairs from SUSY simplified model T1tttt events and has been validated also in TTbar events. In both cases, considerably improved agreement with the FullSim output and an improvement in correlations among output observables and external parameters is seen.

If this PR is a backport please specify the original PR and why you need to backport that PR. If this PR will be backported please specify to which release cycle the backport is meant for:

Before submitting your pull requests, make sure you followed this checklist:

• verify that the PR is really intended for the chosen branch
• verify that changes follow CMS Naming, Coding, And Style Rules
• verify that the PR passes the basic test procedure suggested in the CMSSW PR instructions

[cmsbuild]

A new Pull Request was created by @wolfmor for CMSSW_12_6_X.

It involves the following packages:

• PhysicsTools/NanoAOD (xpog)
• PhysicsTools/PatAlgos (xpog, reconstruction)

@cmsbuild, @mandrenguyen, @clacaputo, @swertz, @vlimant can you please review it and eventually sign? Thanks.
@AlexDeMoor, @rappoccio, @gouskos, @jdolen, @JyothsnaKomaragiri, @ahinzmann, @AnnikaStein, @schoef, @emilbols, @jdamgov, @mbluj, @nhanvtran, @gkasieczka, @hatakeyamak, @gpetruc, @azotz, @mariadalfonso, @demuller, @andrzejnovak, @seemasharmafnal, @mmarionncern this is something you requested to watch as well.
@perrotta, @dpiparo, @rappoccio you are the release manager for this.

cms-bot commands are listed here

[perrotta]

@wolfmor please submit the PR in the master first, before backporting it in 12_6

[wolfmor]

Sorry about that! Please find the new PR here: #40553
Closing this one.