diff --git a/AnaProd/anaTupleDef.py b/AnaProd/anaTupleDef.py
index 0b949bc..4148d22 100644
--- a/AnaProd/anaTupleDef.py
+++ b/AnaProd/anaTupleDef.py
@@ -363,6 +363,7 @@ def LegVar(var_name, var_expr, var_type=None, var_cond=None, default=0):
             f"SelectedFatJet_{fatjetVar}",
             f"Take(tmp_SelectedFatJet_{fatjetVar}, SelectedFatJet_idxSorted)",
         )
+    dfw.Define("SelectedFatJet_isValid", "RVecB (SelectedFatJet_pt.size(), true)")
     subjet_obs = []
     subjet_obs.extend(SubJetObservables)
     if not isData:
diff --git a/Analysis/hh_bbww.py b/Analysis/hh_bbww.py
index 2e42832..616fd18 100644
--- a/Analysis/hh_bbww.py
+++ b/Analysis/hh_bbww.py
@@ -186,11 +186,12 @@ def defineLeptonPreselection(self):
             "leadingleppT &&  subleadleppT && Single_lep_trg && tightlep && ( lep2_legType < 1 ||  diLep_mass > 12 )",
         )
 
-    def defineJetSelections(self):
+    def defineJetSelections(self, isData):
         self.df = self.df.Define("Njets", "centralJet_pt.size()")
         self.df = self.df.Define("jet1_isvalid", "Njets > 0")
         self.df = self.df.Define("jet2_isvalid", "Njets > 1")
         self.df = self.df.Define("fatjet_isvalid", "SelectedFatJet_pt.size() > 0")
+        self.df = self.df.Define("fatbjet_isValid", "fatjet_isvalid")
         self.df = self.df.Define(
             "fatsubjet1_isvalid",
             "(SelectedFatJet_SubJet1_isValid == 1  && SelectedFatJet_SubJet1_pt > 20 && abs(SelectedFatJet_SubJet1_eta) < 2.5)",
@@ -200,54 +201,44 @@ def defineJetSelections(self):
             "(SelectedFatJet_SubJet2_isValid == 1 && SelectedFatJet_SubJet2_pt > 20 && abs(SelectedFatJet_SubJet2_eta) < 2.5)",
         )
 
-        self.df = self.df.Define("bjet1_pt", "centralJet_pt[0]")
-        self.df = self.df.Define("bjet1_phi", "centralJet_phi[0]")
-        self.df = self.df.Define("bjet1_eta", "centralJet_eta[0]")
-        self.df = self.df.Define("bjet1_mass", "centralJet_mass[0]")
-        self.df = self.df.Define(
-            "bjet1_btagPNetB", "jet1_isvalid ? centralJet_btagPNetB[0] : -1.0"
-        )
-        self.df = self.df.Define(
-            "bjet1_idbtagPNetB", "jet1_isvalid ? centralJet_idbtagPNetB[0] : -1.0"
-        )
-
-        self.df = self.df.Define("bjet2_pt", "centralJet_pt[1]")
-        self.df = self.df.Define("bjet2_phi", "centralJet_phi[1]")
-        self.df = self.df.Define("bjet2_eta", "centralJet_eta[1]")
-        self.df = self.df.Define("bjet2_mass", "centralJet_mass[1]")
-        self.df = self.df.Define(
-            "bjet2_btagPNetB", "jet2_isvalid ? centralJet_btagPNetB[1] : -1.0"
-        )
-        self.df = self.df.Define(
-            "bjet2_idbtagPNetB", "jet2_isvalid ? centralJet_idbtagPNetB[1] : -1.0"
-        )
+        bjet_vars = ["pt", "phi", "eta", "mass", "btagPNetB", "idbtagPNetB"]
+        for var in bjet_vars:
+            self.df = self.df.Define(
+                f"bjet1_{var}", f"jet1_isvalid ? centralJet_{var}[0] : -1.0"
+            )
+            self.df = self.df.Define(
+                f"bjet2_{var}", f"jet2_isvalid ? centralJet_{var}[1] : -1.0"
+            )
 
-        self.df = self.df.Define("wjet1_pt", "Njets > 2 ? centralJet_pt[2] : -10.0")
-        self.df = self.df.Define("wjet1_phi", "Njets > 2 ? centralJet_phi[2] : -10.0")
-        self.df = self.df.Define("wjet1_eta", "Njets > 2 ? centralJet_eta[2] : -10.0")
-        self.df = self.df.Define("wjet1_mass", "Njets > 2 ? centralJet_mass[2] : -10.0")
+        wjet_vars = ["pt", "phi", "eta", "mass"]
+        for var in wjet_vars:
 
-        self.df = self.df.Define("wjet2_pt", "Njets > 3 ? centralJet_pt[3] : -10.0")
-        self.df = self.df.Define("wjet2_phi", "Njets > 3 ? centralJet_phi[3] : -10.0")
-        self.df = self.df.Define("wjet2_eta", "Njets > 3 ? centralJet_eta[3] : -10.0")
-        self.df = self.df.Define("wjet2_mass", "Njets > 3 ? centralJet_mass[3] : -10.0")
+            self.df = self.df.Define(
+                f"wjet1_{var}", f"Njets > 2 ? centralJet_{var}[2] : -10.0"
+            )
+            self.df = self.df.Define(
+                f"wjet2_{var}", f"Njets > 3 ? centralJet_{var}[3] : -10.0"
+            )
 
-        self.df = self.df.Define(
-            "fatbjet1_pt", "fatjet_isvalid ? SelectedFatJet_pt[0] : -10.0"
-        )
-        self.df = self.df.Define(
-            "fatbjet1_phi", "fatjet_isvalid ? SelectedFatJet_phi[0] : -10.0"
-        )
-        self.df = self.df.Define(
-            "fatbjet1_eta", "fatjet_isvalid ? SelectedFatJet_eta[0] : -10.0"
-        )
-        self.df = self.df.Define(
-            "fatbjet1_mass", "fatjet_isvalid ? SelectedFatJet_mass[0] : -10.0"
-        )
-        self.df = self.df.Define(
-            "fatbjet1_XbbVsQCD",
-            "fatjet_isvalid ? SelectedFatJet_particleNet_XbbVsQCD[0] : -10.0",
-        )
+        fatjet_vars = [
+            "pt",
+            "phi",
+            "eta",
+            "mass",
+            "particleNet_XbbVsQCD",
+            "particleNetWithMass_HbbvsQCD",
+        ]
+        fatjet_mc_vars = ["hadronFlavour"]
+        for var in fatjet_vars:
+            self.df = self.df.Define(
+                f"fatbjet_{var}", f"fatjet_isvalid ? SelectedFatJet_{var}[0] : -10.0"
+            )
+        if not isData:
+            for var in fatjet_mc_vars:
+                self.df = self.df.Define(
+                    f"fatbjet_{var}",
+                    f"fatjet_isvalid ? SelectedFatJet_{var}[0] : -10.0",
+                )
 
         self.df = self.df.Define(
             "bsubjet1_btagDeepB",
@@ -525,12 +516,12 @@ def AddDNNVariables(df):
     return df
 
 
-def PrepareDfForHistograms(dfForHistograms):
+def PrepareDfForHistograms(dfForHistograms, isData):
     dfForHistograms.df = defineAllP4(dfForHistograms.df)
     dfForHistograms.df = AddDNNVariables(dfForHistograms.df)
     dfForHistograms.defineTriggers()
     dfForHistograms.defineLeptonPreselection()
-    dfForHistograms.defineJetSelections()
+    dfForHistograms.defineJetSelections(isData)
     dfForHistograms.defineQCDRegions()
     dfForHistograms.defineControlRegions()
     dfForHistograms.defineCategories()
diff --git a/Analysis/histTupleDef.py b/Analysis/histTupleDef.py
index 780a03f..02aff39 100644
--- a/Analysis/histTupleDef.py
+++ b/Analysis/histTupleDef.py
@@ -3,6 +3,7 @@
 from FLAF.Common.HistHelper import *
 from Corrections.Corrections import Corrections
 from Corrections.CorrectionsCore import getSystName, central
+from FLAF.Common.Setup import Setup
 
 if __name__ == "__main__":
     sys.path.append(os.environ["ANALYSIS_PATH"])
@@ -31,10 +32,12 @@ def analysis_setup(setup):
     analysis = importlib.import_module(f"{analysis_import}")
 
 
-def GetDfw(df, global_params):
+def GetDfw(df, setup, dataset_name):
+    global_params = setup.global_params
+    isData = dataset_name == "data"
     period = global_params["era"]
     dfw = analysis.DataFrameBuilderForHistograms(df, global_params, period)
-    new_dfw = analysis.PrepareDfForHistograms(dfw)
+    new_dfw = analysis.PrepareDfForHistograms(dfw, isData)
     return new_dfw
 
 
diff --git a/Corrections b/Corrections
index a50b274..c8a2b00 160000
--- a/Corrections
+++ b/Corrections
@@ -1 +1 @@
-Subproject commit a50b27449e6ec4056e148d05f9bf97a19edec65c
+Subproject commit c8a2b00c265e5310d174d8249d0f03059b87cc5c
diff --git a/FLAF b/FLAF
index 523c23c..2d96e65 160000
--- a/FLAF
+++ b/FLAF
@@ -1 +1 @@
-Subproject commit 523c23cefb49100dc29913af7707ba3672170711
+Subproject commit 2d96e65e4e3e854281c115163319ba4929b94375
diff --git a/config/Run3_2022/processes.yaml b/config/Run3_2022/processes.yaml
index 50557d5..8a62f8e 100644
--- a/config/Run3_2022/processes.yaml
+++ b/config/Run3_2022/processes.yaml
@@ -484,8 +484,30 @@ QCD_PT:
 #       file: QCD_ABCD.py
 #   supress_negative_bins: true
 
-custom_CI:
-  name: "custom for CI and test purposes"
-  color: "kAzure+10"
+custom_CI_Background:
+  name: "CI -- Background"
+  color: "kGreen-3"
+  datasets:
+    - TTto2L2Nu
+
+custom_CI_Signal:
+  name: "CI -- Signal"
+  color: "kBlack"
+  is_meta_process: true
+  meta_setup:
+    dataset_name_pattern: XtoYHto2B2Wto2B2L2Nu_MX_(\d+)_MY_125
+    parameters: [ MASS ]
+    process_name: XtoHHto2B2W_2L_${MASS}
+    name_pattern: Xto2B2W 2L ${MASS} GeV (x50)
+    to_plot:
+      - [ '300' ]
+    plot_color: [ "kBlack" ]
+    channels: [ "eE", "eMu", "muMu" ]
   datasets:
     - XtoYHto2B2Wto2B2L2Nu_MX_300_MY_125
+
+custom_CI_Data:
+  name: "CI -- Data"
+  color: "kAzure+10"
+  datasets:
+    - Muon_Run2022C
diff --git a/config/Run3_2022EE/processes.yaml b/config/Run3_2022EE/processes.yaml
index e54eacd..8217563 100644
--- a/config/Run3_2022EE/processes.yaml
+++ b/config/Run3_2022EE/processes.yaml
@@ -468,8 +468,30 @@ QCD_PT:
     - QCD_PT_2400to3200
     - QCD_PT_3200
 
-custom_CI:
-  name: "custom for CI and test purposes"
-  color: "kAzure+10"
+custom_CI_Background:
+  name: "CI -- Background"
+  color: "kGreen-3"
+  datasets:
+    - TTto2L2Nu
+
+custom_CI_Signal:
+  name: "CI -- Signal"
+  color: "kBlack"
+  is_meta_process: true
+  meta_setup:
+    dataset_name_pattern: XtoYHto2B2Wto2B2L2Nu_MX_(\d+)_MY_125
+    parameters: [ MASS ]
+    process_name: XtoHHto2B2W_2L_${MASS}
+    name_pattern: Xto2B2W 2L ${MASS} GeV (x50)
+    to_plot:
+      - [ '300' ]
+    plot_color: [ "kBlack" ]
+    channels: [ "eE", "eMu", "muMu" ]
   datasets:
     - XtoYHto2B2Wto2B2L2Nu_MX_300_MY_125
+
+custom_CI_Data:
+  name: "CI -- Data"
+  color: "kAzure+10"
+  datasets:
+    - Muon_Run2022E
diff --git a/config/Run3_2023/processes.yaml b/config/Run3_2023/processes.yaml
index 1dae619..5faeccb 100644
--- a/config/Run3_2023/processes.yaml
+++ b/config/Run3_2023/processes.yaml
@@ -299,9 +299,30 @@ QCD_PT:
     - QCD_PT_2400to3200
     - QCD_PT_3200
 
+custom_CI_Background:
+  name: "CI -- Background"
+  color: "kGreen-3"
+  datasets:
+    - TTto2L2Nu
 
-custom_CI:
-  name: "custom for CI and test purposes"
-  color: "kAzure+10"
+custom_CI_Signal:
+  name: "CI -- Signal"
+  color: "kBlack"
+  is_meta_process: true
+  meta_setup:
+    dataset_name_pattern: XtoYHto2B2Wto2B2L2Nu_MX_(\d+)_MY_125
+    parameters: [ MASS ]
+    process_name: XtoHHto2B2W_2L_${MASS}
+    name_pattern: Xto2B2W 2L ${MASS} GeV (x50)
+    to_plot:
+      - [ '300' ]
+    plot_color: [ "kBlack" ]
+    channels: [ "eE", "eMu", "muMu" ]
   datasets:
     - XtoYHto2B2Wto2B2L2Nu_MX_300_MY_125
+
+custom_CI_Data:
+  name: "CI -- Data"
+  color: "kAzure+10"
+  datasets:
+    - Muon0_Run2023C_v1
diff --git a/config/Run3_2023BPix/processes.yaml b/config/Run3_2023BPix/processes.yaml
index c053d02..444a59a 100644
--- a/config/Run3_2023BPix/processes.yaml
+++ b/config/Run3_2023BPix/processes.yaml
@@ -289,9 +289,30 @@ QCD_PT:
     - QCD_PT_2400to3200
     - QCD_PT_3200
 
+custom_CI_Background:
+  name: "CI -- Background"
+  color: "kGreen-3"
+  datasets:
+    - TTto2L2Nu
 
-custom_CI:
-  name: "custom for CI and test purposes"
-  color: "kAzure+10"
+custom_CI_Signal:
+  name: "CI -- Signal"
+  color: "kBlack"
+  is_meta_process: true
+  meta_setup:
+    dataset_name_pattern: XtoYHto2B2Wto2B2L2Nu_MX_(\d+)_MY_125
+    parameters: [ MASS ]
+    process_name: XtoHHto2B2W_2L_${MASS}
+    name_pattern: Xto2B2W 2L ${MASS} GeV (x50)
+    to_plot:
+      - [ '300' ]
+    plot_color: [ "kBlack" ]
+    channels: [ "eE", "eMu", "muMu" ]
   datasets:
     - XtoYHto2B2Wto2B2L2Nu_MX_300_MY_125
+
+custom_CI_Data:
+  name: "CI -- Data"
+  color: "kAzure+10"
+  datasets:
+    - Muon0_Run2023D_v1
diff --git a/config/ci_custom.yaml b/config/ci_custom.yaml
index 0a80f86..7ee58fa 100644
--- a/config/ci_custom.yaml
+++ b/config/ci_custom.yaml
@@ -6,6 +6,10 @@ compute_unc_variations: true
 compute_unc_histograms: true
 store_noncentral: true
 phys_model: TestModel
+
+QCDRegions:
+  - OS_Iso
+
 variables:
   - lep1_pt
   - SingleLep_DeepHME_mass
@@ -16,3 +20,9 @@ variables:
   - name: lep1_pt_vs_eta
     vars: [ lep1_pt, lep1_eta ]
     plot_task: False
+
+  - name: DL_DNN_m300_vs_HME
+    vars: [ DNNParametric_DL_NoHME_M300_Signal, DoubleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m300_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M300_Signal, SingleLep_DeepHME_mass ]
diff --git a/config/global.yaml b/config/global.yaml
index 3ff961c..d05cd7e 100644
--- a/config/global.yaml
+++ b/config/global.yaml
@@ -17,6 +17,11 @@ corrections:
     stage: HistTuple
     mode: SF
   ele: { stage: HistTuple }
+  fatjet:
+    stage: HistTuple # AnaTuple
+    ana: bbWW
+    tagger: particleNetWithMass_HbbvsQCD
+    fatJetName: fatbjet # SelectedFatJet
   muScaRe: { stage: AnaTuple, mu_pt_for_ScaReApplication: "nano" }
   eleES: { stage: AnaTuple }
   MC_Lumi_pu: { stage: AnaTuple }
@@ -362,11 +367,11 @@ variables:
   - bjet2_mass
   - bjet2_btagPNetB
 
-  - fatbjet1_pt
-  - fatbjet1_eta
-  - fatbjet1_phi
-  - fatbjet1_mass
-  - fatbjet1_XbbVsQCD
+  - fatbjet_pt
+  - fatbjet_eta
+  - fatbjet_phi
+  - fatbjet_mass
+  - fatbjet_XbbVsQCD
 
   - bb_mass_PNetRegPtRawCorr_PNetRegPtRawCorrNeutrino
 
@@ -392,11 +397,11 @@ variables:
   - lep2_Electron_pfRelIso03_all
   - mT_fix
 
-  # # High Level Single Lepton
+  # High Level Single Lepton
   - SingleLep_DeepHME_mass
   - SingleLep_DeepHME_mass_error
 
-  # # High Level Double Lepton
+  # High Level Double Lepton
   - DoubleLep_DeepHME_mass
   - DoubleLep_DeepHME_mass_error
 
@@ -429,3 +434,33 @@ variables:
 
   - name: DL_DNN_m1000_vs_HME
     vars: [ DNNParametric_DL_NoHME_M1000_Signal, DoubleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m300_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M300_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m400_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M400_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m500_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M500_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m550_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M550_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m600_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M600_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m650_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M650_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m700_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M700_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m800_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M800_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m900_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M900_Signal, SingleLep_DeepHME_mass ]
+
+  - name: SL_DNN_m1000_vs_HME
+    vars: [ DNNParametric_SL_NoHME_M1000_Signal, SingleLep_DeepHME_mass ]
diff --git a/config/phys_models.yaml b/config/phys_models.yaml
index 1b129da..ad3a752 100644
--- a/config/phys_models.yaml
+++ b/config/phys_models.yaml
@@ -22,5 +22,9 @@ OnlyData:
 
 TestModel:
   name: "Test model for CI"
+  backgrounds:
+    - custom_CI_Background
   signals: # WARNING: for 2024 no signal sample available, using a file from bbtt signals..
-    - custom_CI
+    - custom_CI_Signal
+  data:
+    - custom_CI_Data
diff --git a/config/plot/histograms.yaml b/config/plot/histograms.yaml
index 61e98b2..5c50476 100644
--- a/config/plot/histograms.yaml
+++ b/config/plot/histograms.yaml
@@ -686,460 +686,8 @@ DoubleLepHME_mass:
   max_y_sf: 1.5
   divide_by_bin_width: False
 
-LinHMEDNN_DL_linear_hme_dnn_m300:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M300 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m350:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M350 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m400:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M400 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m450:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M450 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m500:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M500 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m550:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M550 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m600:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M600 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m650:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M650 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m700:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M700 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m800:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M800 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m900:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M900 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m1000:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN DL M1000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_DL_linear_hme_dnn_m1200:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M1200 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m1400:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M1400 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m1600:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M1600 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m1800:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M1800 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m2000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M2000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m2500:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M2500 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m3000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M3000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m4000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M4000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_DL_linear_hme_dnn_m5000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN DL M5000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-
-LinHMEDNN_SL_linear_hme_dnn_m300:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M300 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m400:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M400 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m500:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M500 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m550:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M550 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m600:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M600 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m650:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M650 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m700:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M700 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m800:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M800 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m900:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M900 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m1000:
-  x_bins: "500|0.0:5.0"
-  x_rebin: [ 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
-             1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0,
-             2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3.0,
-             3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4.0,
-             4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0 ]
-  x_title: "DNN SL M1000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-  blind: True
-
-LinHMEDNN_SL_linear_hme_dnn_m1200:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M1200 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m1400:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M1400 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m1600:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M1600 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m1800:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M1800 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m2000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M2000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m2500:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M2500 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m3000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M3000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m4000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M4000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-LinHMEDNN_SL_linear_hme_dnn_m5000:
-  x_bins: "1300|0.0:13.0"
-  x_title: "DNN SL M5000 in HMEbins"
-  y_title: "Events"
-  use_log_y: True
-  max_y_sf: 1.5
-  divide_by_bin_width: False
-
-
 SingleLep_DeepHME_mass:
-  x_bins: "100|-10:2500"
+  x_bins: "100|0.0:2500"
   x_title: "Single Lepton Deep HME Mass"
   y_title: "Events"
   use_log_y: False
@@ -1458,6 +1006,7 @@ DNNParametric_DL_NoHME_M250_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M260_Signal:
   x_bins: "100|0.0:1.0"
@@ -1466,6 +1015,7 @@ DNNParametric_DL_NoHME_M260_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M270_Signal:
   x_bins: "100|0.0:1.0"
@@ -1474,6 +1024,7 @@ DNNParametric_DL_NoHME_M270_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M280_Signal:
   x_bins: "100|0.0:1.0"
@@ -1482,6 +1033,7 @@ DNNParametric_DL_NoHME_M280_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M300_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1490,6 +1042,7 @@ DNNParametric_DL_NoHME_M300_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M350_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1498,6 +1051,7 @@ DNNParametric_DL_NoHME_M350_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M400_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1506,6 +1060,7 @@ DNNParametric_DL_NoHME_M400_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M450_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1514,6 +1069,7 @@ DNNParametric_DL_NoHME_M450_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M500_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1522,6 +1078,7 @@ DNNParametric_DL_NoHME_M500_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M550_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1530,6 +1087,7 @@ DNNParametric_DL_NoHME_M550_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M600_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1538,6 +1096,7 @@ DNNParametric_DL_NoHME_M600_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M650_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1546,6 +1105,7 @@ DNNParametric_DL_NoHME_M650_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M700_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1554,6 +1114,7 @@ DNNParametric_DL_NoHME_M700_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M800_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1562,6 +1123,7 @@ DNNParametric_DL_NoHME_M800_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M900_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1570,6 +1132,7 @@ DNNParametric_DL_NoHME_M900_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_DL_NoHME_M1000_Signal:
   x_bins: "1000|0.0:1.0"
@@ -1578,111 +1141,152 @@ DNNParametric_DL_NoHME_M1000_Signal:
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 
 DNNParametric_SL_NoHME_M250_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M250 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M260_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M260 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M270_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M270 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M280_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M280 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M300_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M300 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M350_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M350 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
+
+DNNParametric_SL_NoHME_M400_Signal:
+  x_bins: "1000|0.0:1.0"
+  x_title: DNN M400 Signal
+  y_title: Events
+  use_log_y: True
+  max_y_sf: 10.0
+  divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M450_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M450 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
+
+DNNParametric_SL_NoHME_M500_Signal:
+  x_bins: "1000|0.0:1.0"
+  x_title: DNN M500 Signal
+  y_title: Events
+  use_log_y: True
+  max_y_sf: 10.0
+  divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M550_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M550 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M600_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M600 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M650_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M650 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M700_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M700 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M800_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M800 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
+
+DNNParametric_SL_NoHME_M900_Signal:
+  x_bins: "1000|0.0:1.0"
+  x_title: DNN M900 Signal
+  y_title: Events
+  use_log_y: True
+  max_y_sf: 10.0
+  divide_by_bin_width: False
+  blind: True
 
 DNNParametric_SL_NoHME_M1000_Signal:
-  x_bins: "100|0.0:1.0"
+  x_bins: "1000|0.0:1.0"
   x_title: DNN M1000 Signal
   y_title: Events
   use_log_y: True
   max_y_sf: 10.0
   divide_by_bin_width: False
+  blind: True
 
 
 HMEinDNNBins_HME_mass_SL_DNN_M250_0p0_0p2:
@@ -2049,3 +1653,184 @@ DL_DNN_m1000_vs_HME:
   divide_by_bin_width: False
   blind: True
   var_list: [ DNNParametric_DL_NoHME_M1000_Signal, DoubleLep_DeepHME_mass ]
+
+
+SL_DNN_m300_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 0, 250 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 250, 275 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 275, 300 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 300, 325 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 325, 350 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 350, 500 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M300 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M300_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m400_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 300, 350 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 350, 375 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 375, 400 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 400, 425 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 425, 450 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 450, 600 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M400 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M400_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m500_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 400, 450 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 450, 475 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 475, 500 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 500, 525 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 525, 550 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 550, 700 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M500 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M500_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m550_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 450, 500 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 500, 525 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 525, 550 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 550, 575 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 575, 600 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 600, 750 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M550 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M550_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m600_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 450, 500 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 500, 550 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 550, 600 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 600, 650 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 650, 700 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 700, 750 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M600 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M600_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m650_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 550, 600 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 600, 625 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 625, 650 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 650, 675 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 675, 700 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 700, 850 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M650 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M650_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m700_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 600, 650 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 650, 675 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 675, 700 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 700, 725 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 725, 750 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 750, 900 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M700 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M700_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m800_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 700, 750 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 750, 775 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 775, 800 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 800, 825 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 825, 850 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 850, 1000 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M800 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M800_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m900_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 800, 850 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 850, 875 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 875, 900 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 900, 925 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 925, 950 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 950, 1100 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M900 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M900_Signal, SingleLep_DeepHME_mass ]
+
+SL_DNN_m1000_vs_HME:
+  2d:
+    combined_bins:
+      - { y_bin: [ 900, 950 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 950, 975 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 975, 1000 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 1000, 1025 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 1025, 1050 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+      - { y_bin: [ 1050, 1200 ], x_bins: [ 0.0, 0.5, 0.7, 0.8, 0.85, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0 ] }
+  x_rebin: True
+  x_title: "DNN SL M1000 in HMEbins"
+  y_title: "Events"
+  use_log_y: True
+  max_y_sf: 100
+  divide_by_bin_width: False
+  blind: True
+  var_list: [ DNNParametric_SL_NoHME_M1000_Signal, SingleLep_DeepHME_mass ]