File indexing completed on 2023-10-29 11:58:03
0001 import FWCore.ParameterSet.Config as cms
0002 import copy
0003
0004 from PhysicsTools.NanoAOD.nanoDQM_cfi import nanoDQM
0005 from PhysicsTools.NanoAOD.nanoDQM_tools_cff import *
0006 from PhysicsTools.NanoAOD.nano_eras_cff import *
0007
0008 _boostedTauPlotsV10 = cms.VPSet()
0009 for plot in nanoDQM.vplots.boostedTau.plots:
0010 _boostedTauPlotsV10.append(plot)
0011 _boostedTauPlotsV10.extend([
0012 Plot1D('idMVAoldDMdR032017v2', 'idMVAoldDMdR032017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBoldDMdR0p3wLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
0013 Plot1D('rawMVAoldDMdR032017v2', 'rawMVAoldDMdR032017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBoldDMdR0p3wLT raw output discriminator (2017v2)')
0014 ])
0015
0016 (run2_nanoAOD_106Xv2).toModify(
0017 nanoDQM.vplots.boostedTau,
0018 plots = _boostedTauPlotsV10
0019 )
0020
0021 _Electron_Run2_plots = cms.VPSet()
0022 for plot in nanoDQM.vplots.Electron.plots:
0023 if 'Fall17V2' not in plot.name.value():
0024 _Electron_Run2_plots.append(plot)
0025 _Electron_Run2_plots.extend([
0026 Plot1D('dEscaleUp', 'dEscaleUp', 100, -0.01, 0.01, '#Delta E scaleUp'),
0027 Plot1D('dEscaleDown', 'dEscaleDown', 100, -0.01, 0.01, '#Delta E scaleDown'),
0028 Plot1D('dEsigmaUp', 'dEsigmaUp', 100, -0.1, 0.1, '#Delta E sigmaUp'),
0029 Plot1D('dEsigmaDown', 'dEsigmaDown', 100, -0.1, 0.1, '#Delta E sigmaDown'),
0030 Plot1D('eCorr', 'eCorr', 20, 0.8, 1.2, 'ratio of the calibrated energy/miniaod energy'),
0031 ])
0032 run2_egamma.toModify(
0033 nanoDQM.vplots.Electron,
0034 plots = _Electron_Run2_plots
0035 )
0036
0037 _Photon_Run2_plots = cms.VPSet()
0038 def _match(name):
0039 if 'Fall17V2' in name: return True
0040 if '_quadratic' in name: return True
0041 if 'hoe_PUcorr' in name: return True
0042 return False
0043 for plot in nanoDQM.vplots.Photon.plots:
0044 if not _match(plot.name.value()):
0045 _Photon_Run2_plots.append(plot)
0046 _Photon_Run2_plots.extend([
0047 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU Fall17V2 corrections)'),
0048 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component (with rho*EA PU Fall17V2 corrections)'),
0049 Plot1D('dEscaleUp', 'dEscaleUp', 100, -0.01, 0.01, '#Delta E scaleUp'),
0050 Plot1D('dEscaleDown', 'dEscaleDown', 100, -0.01, 0.01, '#Delta E scaleDown'),
0051 Plot1D('dEsigmaUp', 'dEsigmaUp', 100, -0.1, 0.1, '#Delta E sigmaUp'),
0052 Plot1D('dEsigmaDown', 'dEsigmaDown', 100, -0.1, 0.1, '#Delta E sigmaDown'),
0053 Plot1D('eCorr', 'eCorr', 20, 0.8, 1.2, 'ratio of the calibrated energy/miniaod energy'),
0054 ])
0055 run2_egamma.toModify(
0056 nanoDQM.vplots.Photon,
0057 plots = _Photon_Run2_plots
0058 )
0059
0060 _FatJet_Run2_plots = cms.VPSet()
0061 for plot in nanoDQM.vplots.FatJet.plots:
0062 if 'EF' not in plot.name.value():
0063 _FatJet_Run2_plots.append(plot)
0064 _FatJet_Run2_plots.extend([
0065 Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
0066 Plot1D('deepTagMD_H4qvsQCD', 'deepTagMD_H4qvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger H->4q vs QCD discriminator'),
0067 Plot1D('deepTagMD_HbbvsQCD', 'deepTagMD_HbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger H->bb vs QCD discriminator'),
0068 Plot1D('deepTagMD_TvsQCD', 'deepTagMD_TvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger top vs QCD discriminator'),
0069 Plot1D('deepTagMD_WvsQCD', 'deepTagMD_WvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger W vs QCD discriminator'),
0070 Plot1D('deepTagMD_ZHbbvsQCD', 'deepTagMD_ZHbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H->bb vs QCD discriminator'),
0071 Plot1D('deepTagMD_ZHccvsQCD', 'deepTagMD_ZHccvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H->cc vs QCD discriminator'),
0072 Plot1D('deepTagMD_ZbbvsQCD', 'deepTagMD_ZbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z->bb vs QCD discriminator'),
0073 Plot1D('deepTagMD_ZvsQCD', 'deepTagMD_ZvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z vs QCD discriminator'),
0074 Plot1D('deepTagMD_bbvsLight', 'deepTagMD_bbvsLight', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->bb vs light flavour discriminator'),
0075 Plot1D('deepTagMD_ccvsLight', 'deepTagMD_ccvsLight', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->cc vs light flavour discriminator'),
0076 Plot1D('deepTag_H', 'deepTag_H', 20, 0, 1, 'DeepBoostedJet tagger H(bb,cc,4q) sum'),
0077 Plot1D('deepTag_QCD', 'deepTag_QCD', 20, 0, 1, 'DeepBoostedJet tagger QCD(bb,cc,b,c,others) sum'),
0078 Plot1D('deepTag_QCDothers', 'deepTag_QCDothers', 20, 0, 1, 'DeepBoostedJet tagger QCDothers value'),
0079 Plot1D('deepTag_TvsQCD', 'deepTag_TvsQCD', 20, 0, 1, 'DeepBoostedJet tagger top vs QCD discriminator'),
0080 Plot1D('deepTag_WvsQCD', 'deepTag_WvsQCD', 20, 0, 1, 'DeepBoostedJet tagger W vs QCD discriminator'),
0081 Plot1D('deepTag_ZvsQCD', 'deepTag_ZvsQCD', 20, 0, 1, 'DeepBoostedJet tagger Z vs QCD discriminator'),
0082 Plot1D('particleNetLegacy_mass', 'particleNetLegacy_mass', 25, 0, 250, 'ParticleNet Legacy Run-2 mass regression'),
0083 Plot1D('particleNetLegacy_Xbb', 'particleNetLegacy_Xbb', 20, 0, 1, 'ParticleNet Legacy Run-2 X->bb score'),
0084 Plot1D('particleNetLegacy_Xcc', 'particleNetLegacy_Xcc', 20, 0, 1, 'ParticleNet Legacy Run-2 X->cc score'),
0085 Plot1D('particleNetLegacy_Xqq', 'particleNetLegacy_Xqq', 20, 0, 1, 'ParticleNet Legacy Run-2 X->qq (uds) score'),
0086 Plot1D('particleNetLegacy_QCD', 'particleNetLegacy_QCD', 20, 0, 1, 'ParticleNet Legacy Run-2 QCD score'),
0087 ])
0088
0089 _FatJet_EarlyRun3_plots = cms.VPSet()
0090 for plot in _FatJet_Run2_plots:
0091 if 'particleNet_' not in plot.name.value() and 'btagCSVV2' not in plot.name.value() \
0092 and 'Multiplicity' not in plot.name.value() and 'EF' not in plot.name.value():
0093 _FatJet_EarlyRun3_plots.append(plot)
0094
0095 _Jet_Run2_plots = cms.VPSet()
0096 for plot in nanoDQM.vplots.Jet.plots:
0097 _Jet_Run2_plots.append(plot)
0098 if 'Multiplicity' not in plot.name.value() and 'hfHEF' not in plot.name.value() and 'hfEmEF' not in plot.name.value():
0099 _Jet_Run2_plots.append(plot)
0100 _Jet_Run2_plots.extend([
0101 Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
0102 Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
0103 Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
0104 Plot1D('btagDeepC', 'btagDeepC', 20, 0, 1, 'DeepCSV charm btag discriminator'),
0105 Plot1D('btagDeepCvB', 'btagDeepCvB', 20, -1, 1, 'DeepCSV c vs b+bb discriminator'),
0106 Plot1D('btagDeepCvL', 'btagDeepCvL', 20, -1, 1, 'DeepCSV c vs udsg discriminator')
0107 ])
0108
0109 _Jet_EarlyRun3_plots = cms.VPSet()
0110 for plot in nanoDQM.vplots.Jet.plots:
0111 if 'PNet' not in plot.name.value() and 'Multiplicity' not in plot.name.value() \
0112 and 'hfHEF' not in plot.name.value() and 'hfEmEF' not in plot.name.value():
0113 _Jet_EarlyRun3_plots.append(plot)
0114
0115 _SubJet_Run2_plots = cms.VPSet()
0116 for plot in nanoDQM.vplots.SubJet.plots:
0117 _SubJet_Run2_plots.append(plot)
0118 _SubJet_Run2_plots.extend([
0119 Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
0120 ])
0121 _SubJet_EarlyRun3_plots = cms.VPSet()
0122 for plot in nanoDQM.vplots.SubJet.plots:
0123 if 'area' not in plot.name.value():
0124 _SubJet_EarlyRun3_plots.append(plot)
0125
0126 run2_nanoAOD_ANY.toModify(
0127 nanoDQM.vplots.FatJet,
0128 plots = _FatJet_Run2_plots
0129 ).toModify(
0130 nanoDQM.vplots.Jet,
0131 plots = _Jet_Run2_plots
0132 ).toModify(
0133 nanoDQM.vplots.SubJet,
0134 plots = _SubJet_Run2_plots
0135 )
0136
0137 (run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
0138 nanoDQM.vplots.FatJet,
0139 plots = _FatJet_EarlyRun3_plots
0140 ).toModify(
0141 nanoDQM.vplots.Jet,
0142 plots = _Jet_EarlyRun3_plots
0143 ).toModify(
0144 nanoDQM.vplots.SubJet,
0145 plots = _SubJet_EarlyRun3_plots
0146 )
0147
0148
0149 _Pileup_pre13X_plots = cms.VPSet()
0150 for plot in nanoDQM.vplots.Pileup.plots:
0151 if 'pthatmax' not in plot.name.value():
0152 _Pileup_pre13X_plots.append(plot)
0153
0154 (run2_nanoAOD_ANY | run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
0155 nanoDQM.vplots.Pileup,
0156 plots = _Pileup_pre13X_plots
0157 )
0158
0159
0160 nanoDQMMC = nanoDQM.clone()
0161 nanoDQMMC.vplots.Electron.sels.Prompt = cms.string("genPartFlav == 1")
0162 nanoDQMMC.vplots.LowPtElectron.sels.Prompt = cms.string("genPartFlav == 1")
0163 nanoDQMMC.vplots.Muon.sels.Prompt = cms.string("genPartFlav == 1")
0164 nanoDQMMC.vplots.Photon.sels.Prompt = cms.string("genPartFlav == 1")
0165 nanoDQMMC.vplots.Tau.sels.Prompt = cms.string("genPartFlav == 5")
0166 nanoDQMMC.vplots.Jet.sels.Prompt = cms.string("genJetIdx != 1")
0167 nanoDQMMC.vplots.Jet.sels.PromptB = cms.string("genJetIdx != 1 && hadronFlavour == 5")
0168
0169 from DQMServices.Core.DQMQualityTester import DQMQualityTester
0170 nanoDQMQTester = DQMQualityTester(
0171 qtList = cms.untracked.FileInPath('PhysicsTools/NanoAOD/test/dqmQualityTests.xml'),
0172 prescaleFactor = cms.untracked.int32(1),
0173 testInEventloop = cms.untracked.bool(False),
0174 qtestOnEndLumi = cms.untracked.bool(False),
0175 verboseQT = cms.untracked.bool(True)
0176 )
0177
0178 nanoHarvest = cms.Sequence( nanoDQMQTester )
