File indexing completed on 2024-04-20 02:32:04
0001
0002 import FWCore.ParameterSet.Config as cms
0003 from PhysicsTools.NanoAOD.nanoDQM_tools_cff import *
0004
0005 from DQMServices.Core.DQMEDAnalyzer import DQMEDAnalyzer
0006 nanoDQM = DQMEDAnalyzer("NanoAODDQM",
0007 vplots = cms.PSet(
0008 CaloMET = cms.PSet(
0009 sels = cms.PSet(),
0010 plots = cms.VPSet(
0011 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0012 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0013 Plot1D('sumEt', 'sumEt', 20, 200, 3000, 'scalar sum of Et'),
0014 )
0015 ),
0016 CorrT1METJet = cms.PSet(
0017 sels = cms.PSet(),
0018 plots = cms.VPSet(
0019 Count1D('_size', 20, -0.5, 19.5, 'Additional low-pt jets for Type-1 MET re-correction'),
0020 Plot1D('area', 'area', 20, 0.2, 0.8, 'jet catchment area, for JECs'),
0021 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0022 Plot1D('muonSubtrFactor', 'muonSubtrFactor', 20, 0, 1, '1-(muon-subtracted raw pt)/(raw pt)'),
0023 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0024 Plot1D('rawPt', 'rawPt', 20, 5, 25, "pt()*jecFactor('Uncorrected')"),
0025 Plot1D('EmEF', 'EmEF', 20, 0., 1., "charged+neutral Electromagnetic Energy Fraction"),
0026 )
0027 ),
0028 DeepMETResolutionTune = cms.PSet(
0029 sels = cms.PSet(),
0030 plots = cms.VPSet(
0031 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Resolution Tune phi'),
0032 Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
0033 )
0034 ),
0035 DeepMETResponseTune = cms.PSet(
0036 sels = cms.PSet(),
0037 plots = cms.VPSet(
0038 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Response Tune phi'),
0039 Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
0040 )
0041 ),
0042 Electron = cms.PSet(
0043 sels = cms.PSet(
0044 Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && cutBased >= 3 && miniPFRelIso_all < 0.4')
0045 ),
0046 plots = cms.VPSet(
0047 Count1D('_size', 8, -0.5, 7.5, 'slimmedElectrons after basic selection (pt > 5 )'),
0048 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0049 Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
0050 Plot1D('cutBased', 'cutBased', 5, -0.5, 4.5, 'cut-based ID (0:fail, 1:veto, 2:loose, 3:medium, 4:tight)'),
0051 Plot1D('cutBased_Fall17V2', 'cutBased_Fall17V2', 5, -0.5, 4.5, 'cut-based ID Fall17 V2 (0:fail, 1:veto, 2:loose, 3:medium, 4:tight)'),
0052 Plot1D('cutBased_HEEP', 'cutBased_HEEP', 2, -0.5, 1.5, 'cut-based HEEP ID'),
0053 Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
0054 Plot1D('dr03EcalRecHitSumEt', 'dr03EcalRecHitSumEt', 20, 0, 30, 'Non-PF Ecal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0055 Plot1D('dr03HcalDepth1TowerSumEt', 'dr03HcalDepth1TowerSumEt', 20, 0, 20, 'Non-PF Hcal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0056 Plot1D('dr03TkSumPt', 'dr03TkSumPt', 20, 0, 40, 'Non-PF track isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0057 Plot1D('dr03TkSumPtHEEP', 'dr03TkSumPtHEEP', 20, 0, 40, 'Non-PF track isolation within a delta R cone of 0.3 with electron pt > 35 GeV used in HEEP ID'),
0058 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0059 Plot1D('dxyErr', 'dxyErr', 20, 0, 0.2, 'dxy uncertainty, in cm'),
0060 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0061 Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
0062 Plot1D('fbrem', 'fbrem', 20, -5.0, 5.0, 'Fraction of brem'),
0063 Plot1D('rawEnergy', 'rawEnergy', 100, 0, 1000.0, 'raw energy of Supercluster'),
0064 Plot1D('PreshowerEnergy', 'PreshowerEnergy', 20, 0, 100.0, 'energy deposited in the preshower'),
0065 Plot1D('ecalEnergy', 'ecalEnergy', 100, 0, 1000.0, 'energy after ECAL-only regression applied'),
0066 Plot1D('ecalEnergyError', 'ecalEnergyError', 20, 0, 100.0, 'ecalEnergy error'),
0067 Plot1D('gsfTrkpMode', 'gsfTrkpMode', 100, 0, 1000000.0, 'GSF track pMode'),
0068 Plot1D('gsfTrkpModeErr', 'gsfTrkpModeErr', 100, 0, 1000000.0, 'GSF track pMode error'),
0069 Plot1D('gsfTrketaMode', 'gsfTrketaMode', 20, -3.5, 3.5, 'GSF track eta Mode'),
0070 Plot1D('gsfTrkphiMode', 'gsfTrkphiMode', 20, -4, 4, 'GSF track phi Mode'),
0071 Plot1D('isEcalDriven', 'isEcalDriven', 2, -0.5, 1.5, 'is ECAL driven if true'),
0072 Plot1D('isEB', 'isEB', 2, -0.5, 1.5, 'object in barrel if true derived from the seedCrystal and detID information'),
0073 Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
0074 Plot1D('energyErr', 'energyErr', 20, 0, 90, 'energy error of the cluster-track combination'),
0075 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0076 Plot1D('genPartFlav', 'genPartFlav', 20, 0, 30, 'Flavour of genParticle for MC matching to status==1 electrons or photons: 1 = prompt electron (including gamma*->mu mu), 15 = electron from prompt tau, 22 = prompt photon (likely conversion), 5 = electron from b, 4 = electron from c, 3 = electron from light or unknown, 0 = unmatched'),
0077 NoPlot('genPartIdx'),
0078 Plot1D('hoe', 'hoe', 20, 0, 1, 'H over E'),
0079 Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
0080 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'electron is PF candidate'),
0081 NoPlot('jetIdx'),
0082 Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 60, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
0083 Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
0084 Plot1D('jetRelIso_Fall17V2', 'jetRelIso_Fall17V2', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
0085 Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
0086 Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
0087 NoPlot('mass'),
0088 Plot1D('mvaIso_Fall17V2', 'mvaIso_Fall17V2', 20, -1, 1, 'MVA Iso ID score, Fall17V2'),
0089 Plot1D('mvaIso_Fall17V2_WP80', 'mvaIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Fall17V2'),
0090 Plot1D('mvaIso_Fall17V2_WP90', 'mvaIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Fall17V2'),
0091 Plot1D('mvaIso_Fall17V2_WPL', 'mvaIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA Iso ID loose WP, Fall17V2'),
0092 Plot1D('mvaIso', 'mvaIso', 20, -1, 1, 'MVA Iso ID score, Winter22V1'),
0093 Plot1D('mvaIso_WP80', 'mvaIso_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Winter22V1'),
0094 Plot1D('mvaIso_WP90', 'mvaIso_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Winter22V1'),
0095 Plot1D('mvaNoIso', 'mvaNoIso', 20, -1, 1, 'MVA noIso ID score, Winter22V1'),
0096 Plot1D('mvaNoIso_WP80', 'mvaNoIso_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Winter22V1'),
0097 Plot1D('mvaNoIso_WP90', 'mvaNoIso_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Winter22V1'),
0098 Plot1D('mvaNoIso_Fall17V2', 'mvaNoIso_Fall17V2', 20, -1, 1, 'MVA noIso ID score, Fall17V2'),
0099 Plot1D('mvaNoIso_Fall17V2_WP80', 'mvaNoIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Fall17V2'),
0100 Plot1D('mvaNoIso_Fall17V2_WP90', 'mvaNoIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Fall17V2'),
0101 Plot1D('mvaNoIso_Fall17V2_WPL', 'mvaNoIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA noIso ID loose WP, Fall17V2'),
0102 Plot1D('mvaHZZIso', 'mvaHZZIso', 20, -1, 1, 'HZZ MVA Iso ID score'),
0103 Plot1D('mvaIso_WPHZZ', 'mvaIso_WPHZZ', 2, -0.5, 1.5, 'MVA Iso ID WPHZZ, Winter22V1'),
0104 Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
0105 Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0106 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0107 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
0108 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU corrections)'),
0109 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0110 Plot1D('miniPFRelIso_all_Fall17V2', 'miniPFRelIso_all_Fall17V2', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0111 Plot1D('miniPFRelIso_chg_Fall17V2', 'miniPFRelIso_chg_Fall17V2', 20, 0, 1, 'mini PF relative isolation, charged component'),
0112 Plot1D('pfRelIso03_all_Fall17V2', 'pfRelIso03_all_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3 with 94 EffArea, total (with rho*EA PU corrections)'),
0113 Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3 with 94 EffArea, charged component'),
0114 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0115 NoPlot('photonIdx'),
0116 Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
0117 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0118 Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
0119 Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
0120 Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
0121 Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
0122 Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0123 Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV, in cm'),
0124 Plot1D('tightCharge', 'tightCharge', 3, -0.5, 2.5, 'Tight charge criteria (0:none, 1:isGsfScPixChargeConsistent, 2:isGsfCtfScPixChargeConsistent)'),
0125 NoPlot('vidNestedWPBitmap'),
0126 NoPlot('vidNestedWPBitmap_Fall17V2'),
0127 NoPlot('vidNestedWPBitmapHEEP'),
0128 )
0129 ),
0130
0131 LowPtElectron = cms.PSet(
0132 sels = cms.PSet(
0133 Good = cms.string('pt > 1. && ID > 5.')
0134 ),
0135 plots = cms.VPSet(
0136
0137 Count1D('_size', 8, -0.5, 7.5, 'slimmedLowPtElectrons after basic selection'),
0138
0139 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0140 Plot1D('eta', 'eta', 20, -3., 3., 'eta'),
0141 NoPlot('mass'),
0142 Plot1D('pdgId', 'pdgId', 101, -50.5, 50.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0143 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0144 Plot1D('pt', 'pt', 40, 0., 20., 'pt (corrected)'),
0145
0146 Plot1D('embeddedID', 'embeddedID', 40, -10., 10., 'Embedded ID, BDT (raw) score'),
0147 Plot1D('ID', 'ID', 40, -10., 10., 'ID, BDT (raw) score'),
0148 Plot1D('unbiased', 'unbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- agnostic BDT (raw) score'),
0149 Plot1D('ptbiased', 'ptbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- dependent BDT (raw) score'),
0150
0151 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0., 1., 'mini PF relative isolation, charged component'),
0152 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0., 1., 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0153
0154 Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
0155 Plot1D('convWP', 'convWP', 8, -0.5, 7.5, 'conversion flag bit map: 1=Veto, 2=Loose, 3=Tight'),
0156 Plot1D('convVtxRadius', 'convVtxRadius', 40, 0., 20.0, 'conversion vertex radius (cm)'),
0157
0158 Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
0159
0160 Plot1D('energyErr', 'energyErr', 40, 0., 20., 'energy error of the cluster from regression'),
0161 Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
0162 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0163 Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0164 Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
0165 Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
0166 Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
0167
0168 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0169 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0170 Plot1D('dxyErr', 'dxyErr', 20, 0., 0.2, 'dxy uncertainty, in cm'),
0171 Plot1D('dzErr', 'dzErr', 20, 0., 0.2, 'dz uncertainty, in cm'),
0172 ),
0173 ),
0174
0175 FatJet = cms.PSet(
0176 sels = cms.PSet(),
0177 plots = cms.VPSet(
0178 Count1D('_size', 6, -0.5, 5.5, 'slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis'),
0179 Plot1D('area', 'area', 20, 2, 4, 'jet catchment area, for JECs'),
0180 Plot1D('particleNetWithMass_QCD', 'particleNetWithMass_QCD', 20, -1, 1, 'ParticleNet (mass-correlated) QCD score'),
0181 Plot1D('particleNetWithMass_TvsQCD', 'particleNetWithMass_TvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) top vs. QCD score'),
0182 Plot1D('particleNetWithMass_WvsQCD', 'particleNetWithMass_WvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) W vs. QCD score'),
0183 Plot1D('particleNetWithMass_ZvsQCD', 'particleNetWithMass_ZvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) Z vs. QCD score'),
0184 Plot1D('particleNetWithMass_H4qvsQCD', 'particleNetWithMass_H4qvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H(->VV->qqqq) vs. QCD score'),
0185 Plot1D('particleNetWithMass_HbbvsQCD', 'particleNetWithMass_HbbvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->bb vs. QCD score'),
0186 Plot1D('particleNetWithMass_HccvsQCD', 'particleNetWithMass_HccvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->cc vs. QCD score'),
0187 Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet QCD score'),
0188 Plot1D('particleNet_QCD2HF', 'particleNet_QCD2HF', 20, 0, 1, 'ParticleNet QCD 2HF (b,c) score'),
0189 Plot1D('particleNet_QCD1HF', 'particleNet_QCD1HF', 20, 0, 1, 'ParticleNet QCD 1HF (b,c) score'),
0190 Plot1D('particleNet_QCD0HF', 'particleNet_QCD0HF', 20, 0, 1, 'ParticleNet QCD 0HF (b,c) score'),
0191 Plot1D('particleNet_massCorr', 'particleNet_massCorr', 20, 0, 2, 'ParticleNet mass regression, correction relative to jet mass'),
0192 Plot1D('particleNet_XbbVsQCD', 'particleNet_XbbVsQCD', 20, 0, 1, 'ParticleNet X->bb vs. QCD score'),
0193 Plot1D('particleNet_XccVsQCD', 'particleNet_XccVsQCD', 20, 0, 1, 'ParticleNet X->cc vs. QCD score'),
0194 Plot1D('particleNet_XqqVsQCD', 'particleNet_XqqVsQCD', 20, 0, 1, 'ParticleNet X->qq (uds) vs. QCD score'),
0195 Plot1D('particleNet_XggVsQCD', 'particleNet_XggVsQCD', 20, 0, 1, 'ParticleNet X->gg vs. QCD score'),
0196 Plot1D('particleNet_XttVsQCD', 'particleNet_XttVsQCD', 20, 0, 1, 'ParticleNet X->tautau vs. QCD score'),
0197 Plot1D('particleNet_XtmVsQCD', 'particleNet_XtmVsQCD', 20, 0, 1, 'ParticleNet X->mutau vs. QCD score'),
0198 Plot1D('particleNet_XteVsQCD', 'particleNet_XteVsQCD', 20, 0, 1, 'ParticleNet X->etau vs. QCD score'),
0199 NoPlot('electronIdx3SJ'),
0200 Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
0201 NoPlot('genJetAK8Idx'),
0202 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0203 Plot1D('jetId', 'jetId', 3, 0, 3, 'Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto', bitset=True),
0204 Plot1D('lsf3', 'lsf3', 20, -1, 1, 'Lepton Subjet Fraction (3 subjets)'),
0205 Plot1D('mass', 'mass', 20, 0, 300, 'mass'),
0206 Plot1D('msoftdrop', 'msoftdrop', 20, -300, 300, 'Soft drop mass'),
0207 NoPlot('muonIdx3SJ'),
0208 Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
0209 Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
0210 Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
0211 Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
0212 Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
0213 Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
0214 Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
0215 Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
0216 Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
0217 Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
0218 Plot1D('particleNetMD_QCD', 'particleNetMD_QCD', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw QCD score'),
0219 Plot1D('particleNetMD_Xbb', 'particleNetMD_Xbb', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw X->bb score. For X->bb vs QCD tagging, use Xbb/(Xbb+QCD)'),
0220 Plot1D('particleNetMD_Xcc', 'particleNetMD_Xcc', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw X->cc score. For X->cc vs QCD tagging, use Xcc/(Xcc+QCD)'),
0221 Plot1D('particleNetMD_Xqq', 'particleNetMD_Xqq', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw X->qq (uds) score. For X->qq vs QCD tagging, use Xqq/(Xqq+QCD). For W vs QCD tagging, use (Xcc+Xqq)/(Xcc+Xqq+QCD)'),
0222 Plot1D('particleNet_H4qvsQCD', 'particleNet_H4qvsQCD', 20, 0, 1, 'ParticleNet tagger H(->VV->qqqq) vs QCD discriminator'),
0223 Plot1D('particleNet_HbbvsQCD', 'particleNet_HbbvsQCD', 20, 0, 1, 'ParticleNet tagger H(->bb) vs QCD discriminator'),
0224 Plot1D('particleNet_HccvsQCD', 'particleNet_HccvsQCD', 20, 0, 1, 'ParticleNet tagger H(->cc) vs QCD discriminator'),
0225 Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet tagger QCD(bb,cc,b,c,others) sum'),
0226 Plot1D('particleNet_TvsQCD', 'particleNet_TvsQCD', 20, 0, 1, 'ParticleNet tagger top vs QCD discriminator'),
0227 Plot1D('particleNet_WvsQCD', 'particleNet_WvsQCD', 20, 0, 1, 'ParticleNet tagger W vs QCD discriminator'),
0228 Plot1D('particleNet_ZvsQCD', 'particleNet_ZvsQCD', 20, 0, 1, 'ParticleNet tagger Z vs QCD discriminator'),
0229 Plot1D('particleNet_mass', 'particleNet_mass', 25, 0, 250, 'ParticleNet mass regression'),
0230 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0231 Plot1D('pt', 'pt', 20, 0, 800, 'pt'),
0232 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0233 NoPlot('subJetIdx1'),
0234 NoPlot('subJetIdx2'),
0235 Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
0236 Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
0237 Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
0238 Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
0239 )
0240 ),
0241 Flag = cms.PSet(
0242 sels = cms.PSet(),
0243 plots = cms.VPSet(
0244 Plot1D('BadChargedCandidateFilter', 'BadChargedCandidateFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0245 Plot1D('BadChargedCandidateSummer16Filter', 'BadChargedCandidateSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0246 Plot1D('BadPFMuonFilter', 'BadPFMuonFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0247 Plot1D('BadPFMuonDzFilter', 'BadPFMuonDzFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0248 Plot1D('BadPFMuonSummer16Filter', 'BadPFMuonSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0249 Plot1D('CSCTightHalo2015Filter', 'CSCTightHalo2015Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0250 Plot1D('CSCTightHaloFilter', 'CSCTightHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0251 Plot1D('CSCTightHaloTrkMuUnvetoFilter', 'CSCTightHaloTrkMuUnvetoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0252 Plot1D('EcalDeadCellBoundaryEnergyFilter', 'EcalDeadCellBoundaryEnergyFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0253 Plot1D('EcalDeadCellTriggerPrimitiveFilter', 'EcalDeadCellTriggerPrimitiveFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0254 Plot1D('HBHENoiseFilter', 'HBHENoiseFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0255 Plot1D('HBHENoiseIsoFilter', 'HBHENoiseIsoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0256 Plot1D('HcalStripHaloFilter', 'HcalStripHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0257 Plot1D('METFilters', 'METFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0258 Plot1D('chargedHadronTrackResolutionFilter', 'chargedHadronTrackResolutionFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0259 Plot1D('ecalBadCalibFilter', 'ecalBadCalibFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0260 Plot1D('ecalBadCalibFilterV2', 'ecalBadCalibFilterV2', 1, 0.5, 1.5, 'Bad ECAL calib flag (updated xtal list)'),
0261 Plot1D('ecalLaserCorrFilter', 'ecalLaserCorrFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0262 Plot1D('eeBadScFilter', 'eeBadScFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0263 Plot1D('globalSuperTightHalo2016Filter', 'globalSuperTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0264 Plot1D('globalTightHalo2016Filter', 'globalTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0265 Plot1D('hfNoisyHitsFilter', 'hfNoisyHitsFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0266 Plot1D('goodVertices', 'goodVertices', 2, -0.5, 1.5, 'Trigger/flag bit'),
0267 Plot1D('hcalLaserEventFilter', 'hcalLaserEventFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0268 Plot1D('muonBadTrackFilter', 'muonBadTrackFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0269 Plot1D('trkPOGFilters', 'trkPOGFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0270 Plot1D('trkPOG_logErrorTooManyClusters', 'trkPOG_logErrorTooManyClusters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0271 Plot1D('trkPOG_manystripclus53X', 'trkPOG_manystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
0272 Plot1D('trkPOG_toomanystripclus53X', 'trkPOG_toomanystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
0273 )
0274 ),
0275 FsrPhoton = cms.PSet(
0276 sels = cms.PSet(),
0277 plots = cms.VPSet(
0278 Count1D('_size', 4, -0.5, 3.5, 'Final state radiation photons emitted by muons'),
0279 Plot1D('dROverEt2', 'dROverEt2', 20, 0, 0.05, 'deltaR to associated muon divided by photon et2'),
0280 Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
0281 NoPlot('muonIdx'),
0282 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0283 Plot1D('pt', 'pt', 20, 0, 40, 'pt'),
0284 Plot1D('relIso03', 'relIso03', 20, 0, 2, 'relative isolation in a 0.3 cone without CHS'),
0285 )
0286 ),
0287 GenDressedLepton = cms.PSet(
0288 sels = cms.PSet(),
0289 plots = cms.VPSet(
0290 Count1D('_size', 25, -0.5, 24.5, 'Dressed leptons from Rivet-based ParticleLevelProducer'),
0291 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0292 Plot1D('hasTauAnc', 'hasTauAnc', 2, -0.5, 1.5, 'true if Dressed lepton has a tau as ancestor'),
0293 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0294 Plot1D('pdgId', 'pdgId', 40, -20, 20, 'pdgId'),
0295 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0296 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0297 )
0298 ),
0299 GenIsolatedPhoton = cms.PSet(
0300 sels = cms.PSet(),
0301 plots = cms.VPSet(
0302 Count1D('_size', 10, -0.5, 9.5, 'Isolated photons from Rivet-based ParticleLevelProducer'),
0303 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0304 NoPlot('mass'),
0305 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0306 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0307 )
0308 ),
0309 GenJet = cms.PSet(
0310 sels = cms.PSet(),
0311 plots = cms.VPSet(
0312 Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJets, i.e. ak4 Jets made with visible genparticles'),
0313 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0314 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0315 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0316 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0317 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0318 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0319 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0320 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0321 )
0322 ),
0323 GenJetAK8 = cms.PSet(
0324 sels = cms.PSet(),
0325 plots = cms.VPSet(
0326 Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJetAK8, i.e. ak8 Jets made with visible genparticles'),
0327 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0328 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0329 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0330 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0331 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0332 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0333 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0334 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0335 )
0336 ),
0337 GenMET = cms.PSet(
0338 sels = cms.PSet(),
0339 plots = cms.VPSet(
0340 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0341 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0342 )
0343 ),
0344 GenPart = cms.PSet(
0345 sels = cms.PSet(),
0346 plots = cms.VPSet(
0347 Count1D('_size', 40, -0.5, 124.5, 'interesting gen particles '),
0348 Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
0349 NoPlot('genPartIdxMother'),
0350 Plot1D('mass', 'mass', 20, 0, 300, 'Mass stored for all particles with mass > 10 GeV and photons with mass > 1 GeV. For other particles you can lookup from PDGID'),
0351 Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
0352 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0353 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0354 Plot1D('iso', 'iso', 20, 0, 200, 'iso'),
0355 Plot1D('status', 'status', 20, 0, 100, 'Particle status. 1=stable'),
0356 Plot1D('statusFlags', 'statusFlags', 15, 0, 15, 'gen status flags stored bitwise, bits are: 0 : isPrompt, 1 : isDecayedLeptonHadron, 2 : isTauDecayProduct, 3 : isPromptTauDecayProduct, 4 : isDirectTauDecayProduct, 5 : isDirectPromptTauDecayProduct, 6 : isDirectHadronDecayProduct, 7 : isHardProcess, 8 : fromHardProcess, 9 : isHardProcessTauDecayProduct, 10 : isDirectHardProcessTauDecayProduct, 11 : fromHardProcessBeforeFSR, 12 : isFirstCopy, 13 : isLastCopy, 14 : isLastCopyBeforeFSR, ', bitset=True),
0357 )
0358 ),
0359 GenVtx = cms.PSet(
0360 sels = cms.PSet(),
0361 plots = cms.VPSet(
0362 Plot1D('x', 'x', 50, -0.5, 0.5, 'Gen vertex x position'),
0363 Plot1D('y', 'y', 50, -0.5, 0.5, 'Gen vertex y position'),
0364 Plot1D('z', 'z', 30, -15, 15, 'Gen vertex z position'),
0365 Plot1D('t0', 't0', 20, -1, 1, 'Gen vertex time (t0)'),
0366 )
0367 ),
0368 GenVisTau = cms.PSet(
0369 sels = cms.PSet(),
0370 plots = cms.VPSet(
0371 Count1D('_size', 4, -0.5, 3.5, 'gen hadronic taus '),
0372 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'charge'),
0373 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0374 NoPlot('genPartIdxMother'),
0375 Plot1D('mass', 'mass', 20, 0, 2, 'mass'),
0376 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0377 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0378 Plot1D('status', 'status', 16, -0.5, 15.5, 'Hadronic tau decay mode. 0=OneProng0PiZero, 1=OneProng1PiZero, 2=OneProng2PiZero, 10=ThreeProng0PiZero, 11=ThreeProng1PiZero, 15=Other'),
0379 )
0380 ),
0381 IsoTrack = cms.PSet(
0382 sels = cms.PSet(),
0383 plots = cms.VPSet(
0384 Count1D('_size', 5, -0.5, 4.5, 'isolated tracks after basic selection (pt > 10 && abs(dxy) < 0.02 && abs(dz) < 0.1 && isHighPurityTrack && miniPFIsolation.chargedHadronIso/pt < 0.2) and lepton veto'),
0385 Plot1D('dxy', 'dxy', 20, -0.02, 0.02, 'dxy (with sign) wrt first PV, in cm'),
0386 Plot1D('dz', 'dz', 20, -0.09, 0.09, 'dz (with sign) wrt first PV, in cm'),
0387 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0388 Plot1D('fromPV', 'fromPV', 5, -1.5, 3.5, 'provenance from primary vertex'),
0389 Plot1D('isFromLostTrack', 'isFromLostTrack', 2, -0.5, 1.5, 'if isolated track comes from a lost track'),
0390 Plot1D('isHighPurityTrack', 'isHighPurityTrack', 2, -0.5, 1.5, 'track is high purity'),
0391 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'if isolated track is a PF candidate'),
0392 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 2, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0393 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 2, 'mini PF relative isolation, charged component'),
0394 Plot1D('pdgId', 'pdgId', 20, -300, 300, 'PDG id of PF cand'),
0395 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
0396 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0397 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0398 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0399 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge')
0400 )
0401 ),
0402 Jet = cms.PSet(
0403 sels = cms.PSet(
0404 CentralPt30 = cms.string('abs(eta) < 2.4 && pt > 30'),
0405 ForwardPt30 = cms.string('abs(eta) > 2.4 && pt > 30')
0406 ),
0407 plots = cms.VPSet(
0408 Count1D('_size', 20, -0.5, 19.5, 'slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (pt > 15)'),
0409 Plot1D('area', 'area', 20, 0.2, 0.8, 'jet catchment area, for JECs'),
0410 Plot1D('bRegCorr', 'bRegCorr', 20, 0, 3, 'pt correction for b-jet energy regression'),
0411 Plot1D('bRegRes', 'bRegRes', 20, 0, 0.6, 'res on pt corrected with b-jet regression'),
0412 Plot1D('btagDeepFlavB', 'btagDeepFlavB', 20, 0, 1, 'DeepFlavour b+bb tag discriminator'),
0413 Plot1D('btagDeepFlavC', 'btagDeepFlavC', 20, 0, 1, 'DeepFlavour charm tag discriminator'),
0414 Plot1D('btagDeepFlavCvB', 'btagDeepFlavCvB', 20, -1, 1, 'DeepJet c vs b+bb+lepb discriminator'),
0415 Plot1D('btagDeepFlavCvL', 'btagDeepFlavCvL', 20, -1, 1, 'DeepJet c vs uds+g discriminator'),
0416 Plot1D('btagDeepFlavQG', 'btagDeepFlavQG', 20, -1, 1, 'DeepJet g vs uds discriminator'),
0417 Plot1D('btagUParTAK4B', 'btagUParTAK4B', 20, 0, 1, 'UnifiedParT b vs. udscg discriminator'),
0418 Plot1D('btagUParTAK4CvB', 'btagUParTAK4CvB', 20, -1, 1, 'UnifiedParT c vs. b discriminator'),
0419 Plot1D('btagUParTAK4CvL', 'btagUParTAK4CvL', 20, -1, 1, 'UnifiedParT c vs. udsg discriminator'),
0420 Plot1D('btagUParTAK4QG', 'btagUParTAK4QG', 20, -1, 1, 'UnifiedParT q (udsbc) vs. g discriminator'),
0421 Plot1D('btagUParTAK4TauVJet', 'btagUParTAK4TauVJet', 20, -1, 1, 'UnifiedParT tau vs. jet discriminator'),
0422 Plot1D('btagUParTCvNotB', 'btagUParTCvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
0423 Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
0424 Plot1D('cRegRes', 'cRegRes', 20, 0.05, 0.4, 'res on pt corrected with c-jet regression'),
0425 Plot1D('btagPNetB', 'btagPNetB', 20, 0, 1, 'ParticleNet b tag discriminator'),
0426 Plot1D('btagPNetCvL', 'btagPNetCvL', 20, 0, 1, 'ParticleNet c vs. light (udsg) discriminator'),
0427 Plot1D('btagPNetCvB', 'btagPNetCvB', 20, 0, 1, 'ParticleNet c vs. b discriminator'),
0428 Plot1D('btagPNetCvNotB', 'btagPNetCvNotB', 20, 0, 1, 'ParticleNet C vs notB discriminator'),
0429 Plot1D('btagPNetQvG', 'btagPNetQvG', 20, 0, 1, 'ParticleNet quark (udsbc) vs. gluon discriminator'),
0430 Plot1D('btagPNetTauVJet', 'btagPNetTauVJet', 20, 0, 1, 'ParticleNet tau vs. jet discriminator'),
0431 Plot1D('PNetRegPtRawCorr', 'PNetRegPtRawCorr', 20, 0, 2, 'ParticleNet visible pT regression, correction relative to raw pT'),
0432 Plot1D('PNetRegPtRawCorrNeutrino', 'PNetRegPtRawCorrNeutrino', 20, 0, 2, 'ParticleNet neutrino pT correction, relative to regressed visible pT'),
0433 Plot1D('PNetRegPtRawRes', 'PNetRegPtRawRes', 20, 0, 0.5, 'ParticleNet per-jet resolution estimator: (q84 - q16)/2'),
0434 Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
0435 Plot1D('chFPV0EF', 'chFPV0EF', 20, 0, 2, 'charged fromPV==0 Energy Fraction (energy excluded from CHS jets). Previously called betastar.'),
0436 Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
0437 NoPlot('electronIdx1'),
0438 NoPlot('electronIdx2'),
0439 Plot1D('eta', 'eta', 20, -6, 6, 'eta'),
0440 NoPlot('genJetIdx'),
0441 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0442 Plot1D('jetId', 'jetId', 3, 0, 3, 'Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto', bitset=True),
0443 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0444 Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
0445 NoPlot('muonIdx1'),
0446 NoPlot('muonIdx2'),
0447 Plot1D('muonSubtrFactor', 'muonSubtrFactor', 20, 0, 1, '1-(muon-subtracted raw pt)/(raw pt)'),
0448 Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
0449 Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
0450 Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
0451 Plot1D('nElectrons', 'nElectrons', 5, -0.5, 4.5, 'number of electrons in the jet'),
0452 Plot1D('nMuons', 'nMuons', 4, -0.5, 3.5, 'number of muons in the jet'),
0453 Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
0454 Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
0455 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0456 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0457 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0458 Plot1D('puId', 'puId', 8, -0.5, 7.5, 'Pilup ID flags'),
0459 Plot1D('puIdDisc', 'puIdDisc', 20, -1, 1, 'Pilup ID discriminant with 102X (2018) training'),
0460 Plot1D('qgl', 'qgl', 20, 0, 1, 'Quark vs Gluon likelihood discriminator'),
0461 Plot1D('hfHEF', 'hfHEF', 20, 0, 1, 'hadronic Energy Fraction in HF'),
0462 Plot1D('hfEmEF', 'hfEmEF', 20, 0, 1, 'electromagnetic Energy Fraction in HF'),
0463 Plot1D('hfsigmaEtaEta', 'hfsigmaEtaEta', 20, 0, 0.2, 'sigmaEtaEta for HF jets (noise discriminating variable)'),
0464 Plot1D('hfsigmaPhiPhi', 'hfsigmaPhiPhi', 20, 0, 0.2, 'sigmaPhiPhi for HF jets (noise discriminating variable)'),
0465 Plot1D('hfcentralEtaStripSize', 'hfcentralEtaStripSize', 10, 0, 10, 'eta size of the central tower strip in HF (noise discriminating variable)'),
0466 Plot1D('hfadjacentEtaStripsSize', 'hfadjacentEtaStripsSize', 10, 0, 10, 'eta size of the strips next to the central tower strip in HF (noise discriminating variable)'),
0467 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0468 )
0469 ),
0470 LHEPart = cms.PSet(
0471 sels = cms.PSet(),
0472 plots = cms.VPSet(
0473 Count1D('_size', 20, 0, 20, 'LHE particles'),
0474 Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
0475 Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
0476 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0477 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0478 )
0479 ),
0480 LHEPdfWeight = cms.PSet(
0481 sels = cms.PSet(),
0482 plots = cms.VPSet(
0483 Count1D('_size', 1000, 0, 2000, 'LHE PDF weights'),
0484 Plot1D('', '', 100, 0, 2, 'all weights'),
0485 )
0486 ),
0487 LHEScaleWeight = cms.PSet(
0488 sels = cms.PSet(),
0489 plots = cms.VPSet(
0490 Count1D('_size', 20, 0, 20, 'LHE scale weights'),
0491 Plot1D('', '', 100, 0, 2, 'all weights'),
0492 )
0493 ),
0494 PFMET = cms.PSet(
0495 sels = cms.PSet(),
0496 plots = cms.VPSet(
0497 Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
0498 Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
0499 Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
0500 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0501 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0502 Plot1D('significance', 'significance', 20, 0, 200, 'MET significance'),
0503 Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
0504 Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for MET significance'),
0505
0506 Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
0507 Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
0508 Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
0509 Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
0510
0511 )
0512 ),
0513
0514 FiducialMET = cms.PSet(
0515 sels = cms.PSet(),
0516 plots = cms.VPSet(
0517 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0518 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0519 )
0520 ),
0521
0522 Muon = cms.PSet(
0523 sels = cms.PSet(
0524 Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && mediumId && miniPFRelIso_all < 0.4')
0525 ),
0526 plots = cms.VPSet(
0527 Count1D('_size', 5, -0.5, 4.5, 'slimmedMuons after basic selection (pt > 3 && track.isNonnull && isLooseMuon)'),
0528 Plot1D('bsConstrainedPt', '', 20, 0., 200., 'pt with beamspot constraint'),
0529 Plot1D('bsConstrainedPtErr', '', 20, 0., 20., 'pt error w. beamspot constraint'),
0530 Plot1D('bsConstrainedChi2', '', 20, 0., 40., 'chi2 of beamspot constraint'),
0531 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0532 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0533 Plot1D('dxyErr', 'dxyErr', 20, 0, 0.1, 'dxy uncertainty, in cm'),
0534 Plot1D('dxybs', 'dxybs', 20, -0.1, 0.1, 'dxy (with sign) wrt the beam spot, in cm'),
0535 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0536 Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
0537 Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
0538 NoPlot('fsrPhotonIdx'),
0539 Plot1D('genPartFlav', 'genPartFlav', 16, -0.5, 15.5, 'Flavour of genParticle for MC matching to status==1 muons: 1 = prompt muon (including gamma*->mu mu), 15 = muon from prompt tau, 5 = muon from b, 4 = muon from c, 3 = muon from light or unknown, 0 = unmatched'),
0540 NoPlot('genPartIdx'),
0541 Plot1D('highPtId', 'highPtId', 3, -0.5, 2.5, 'POG highPt muon ID (1 = tracker high pT, 2 = global high pT, which includes tracker high pT)'),
0542 Plot1D('highPurity', 'highPurity', 2, -0.5, 1.5, 'inner track is high purity'),
0543 Plot1D('inTimeMuon', 'inTimeMuon', 2, -0.5, 1.5, 'inTimeMuon ID'),
0544 Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
0545 Plot1D('isGlobal', 'isGlobal', 2, -0.5, 1.5, 'muon is global muon'),
0546 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'muon is PF candidate'),
0547 Plot1D('isTracker', 'isTracker', 2, -0.5, 1.5, 'muon is tracker muon'),
0548 Plot1D('isStandalone', 'isStandalone', 2, -0.5, 1.5, 'muon is a standalone muon'),
0549 NoPlot('jetIdx'),
0550 Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 30, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
0551 Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
0552 Plot1D('looseId', 'looseId', 2, -0.5, 1.5, 'muon is loose muon'),
0553 NoPlot('mass'),
0554 Profile1D('mediumId', 'mediumId', 'pt', 16, 0, 80, 'POG Medium muon ID (using the relaxed cuts in the data Run 2016 B-F periods, and standard cuts elsewhere)'),
0555 Plot1D('mediumPromptId', 'mediumPromptId', 2, -0.5, 1.5, 'cut-based ID, medium prompt WP'),
0556 Plot1D('miniIsoId', 'miniIsoId', 5, -0.5, 4.5, 'MiniIso ID from miniAOD selector (1=MiniIsoLoose, 2=MiniIsoMedium, 3=MiniIsoTight, 4=MiniIsoVeryTight)'),
0557 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0558 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
0559 Plot1D('multiIsoId', 'multiIsoId', 3, -0.5, 2.5, 'MultiIsoId from miniAOD selector (1=MultiIsoLoose, 2=MultiIsoMedium)'),
0560 Plot1D('mvaLowPt', 'mvaLowPt', 20, -1, 1, 'Low pt muon ID score'),
0561 Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
0562 Plot1D('mvaMuID', 'mvaMuID', 20, 0, 1, 'Score of MVA-based muon ID'),
0563 Plot1D('mvaMuID_WP', 'mvaMuID_WP', 3, -0.5, 2.5, 'MVA-based ID selector WPs (1=MVAIDwpMedium,2=MVAIDwpTight)'),
0564 Plot1D('nStations', 'nStations', 5, -0.5, 4.5, 'number of matched stations with default arbitration (segment & track)'),
0565 Plot1D('nTrackerLayers', 'nTrackerLayers', 15, 2.5, 17.5, 'number of layers in the tracker'),
0566 Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
0567 Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0568 Plot1D('pfIsoId', 'pfIsoId', 7, -0.5, 6.5, 'PFIso ID from miniAOD selector (1=PFIsoVeryLoose, 2=PFIsoLoose, 3=PFIsoMedium, 4=PFIsoTight, 5=PFIsoVeryTight, 6=PFIsoVeryVeryTight)'),
0569 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
0570 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0571 Plot1D('pfRelIso04_all', 'pfRelIso04_all', 20, 0, 2, 'PF relative isolation dR=0.4, total (deltaBeta corrections)'),
0572 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0573 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0574 Plot1D('ptErr', 'ptErr', 20, 0, 20, 'ptError of the muon track'),
0575 Plot1D('segmentComp', 'segmentComp', 20, 0, 1, 'muon segment compatibility'),
0576 Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV'),
0577 Profile1D('softId', 'softId', 'pt', 20, 0, 40, 'POG Soft muon ID (using the relaxed cuts in the data Run 2016 B-F periods, and standard cuts elsewhere)'),
0578 Plot1D('softMva', 'softMva', 20, -1, 1, 'soft MVA ID score'),
0579 Plot1D('softMvaRun3', 'softMvaRun3', 20, 0, 1, 'soft MVA ID score for Run3'),
0580 Plot1D('softMvaId', 'softMvaId', 2, -0.5, 1.5, 'soft MVA ID'),
0581 Plot1D('tightCharge', 'tightCharge', 1, 1.5, 2.5, 'Tight charge criterion using pterr/pt of muonBestTrack (0:fail, 2:pass)'),
0582 Profile1D('tightId', 'tightId', 'pt', 16, 0, 80, 'POG Tight muon ID'),
0583 Plot1D('tkIsoId', 'tkIsoId', 3, -0.5, 2.5, 'TkIso ID (1=TkIsoLoose, 2=TkIsoTight)'),
0584 Plot1D('tkRelIso', 'tkRelIso', 100, 0, 1, 'Tracker-based relative isolation dR=0.3 for highPt, trkIso/tunePpt'),
0585 Plot1D('triggerIdLoose', 'triggerIdLoose', 2, -0.5, 1.5, 'TriggerIdLoose ID'),
0586 Plot1D('tunepRelPt', 'tunepRelPt', 200, 0, 200, 'TuneP relative pt, tunePpt/pt'),
0587 )
0588 ),
0589 OtherPV = cms.PSet(
0590 sels = cms.PSet(),
0591 plots = cms.VPSet(
0592 NoPlot('_size'),
0593 Plot1D('z', 'z', 20, -20, 20, 'Z position of other primary vertices, excluding the main PV'),
0594 Plot1D('score', 'score', 20, 0, 300000, 'scores of other primary vertices, excluding the main PV'),
0595 )
0596 ),
0597 PPSLocalTrack = cms.PSet(
0598 sels = cms.PSet(),
0599 plots = cms.VPSet(
0600 Count1D('_size', 26, -0.5, 25.5, 'ppsLocalTrack variables'),
0601 Plot1D('decRPId', 'decRPId', 20, 0, 200, 'local track detector dec id'),
0602 NoPlot('multiRPProtonIdx'),
0603 Plot1D('rpType', 'rpType', 2, 3.5, 5.5, 'strip=3, pixel=4, diamond=5, timing=6'),
0604 Plot1D('time', 'time', 20, -2, 2, 'local track time'),
0605 Plot1D('timeUnc', 'timeUnc', 20, 0, 0.3, 'local track time uncertainty'),
0606 Plot1D('x', 'x', 20, 2, 30, 'local track x'),
0607 Plot1D('y', 'y', 20, -20, 20, 'local track y'),
0608 )
0609 ),
0610 PSWeight = cms.PSet(
0611 sels = cms.PSet(),
0612 plots = cms.VPSet(
0613 Plot1D('', '', 20, 0, 2, 'All PS weights (w_var / w_nominal)'),
0614 Count1D('_size', 46, -0.5, 45.5, 'Number of PS weights'),
0615 )
0616 ),
0617 PV = cms.PSet(
0618 sels = cms.PSet(),
0619 plots = cms.VPSet(
0620 Plot1D('chi2', 'chi2', 20, 0.5, 3, 'main primary vertex reduced chi2'),
0621 Plot1D('ndof', 'ndof', 20, 0, 500, 'main primary vertex number of degree of freedom'),
0622 Plot1D('npvs', 'npvs', 20, 0, 60, 'total number of reconstructed primary vertices'),
0623 Plot1D('npvsGood', 'npvsGood', 20, 0, 60, 'total number of Good primary vertices'),
0624 Plot1D('score', 'score', 20, 0, 300000, 'main primary vertex score, i.e. sum pt2 of clustered objects'),
0625 Plot1D('sumpt2', 'sumpt2', 100, 0, 300000, 'main primary vertex sum pt2 of the charged pf candidates'),
0626 Plot1D('sumpx', 'sumpx', 20, -100, 100, 'main primary vertex sum px of the charged pf candidates'),
0627 Plot1D('sumpy', 'sumpy', 20, -100, 100, 'main primary vertex sum py of the charged pf candidates'),
0628 Plot1D('x', 'x', 20, -0.3, 0.3, 'main primary vertex position x coordinate'),
0629 Plot1D('y', 'y', 20, -0.3, 0.3, 'main primary vertex position y coordinate'),
0630 Plot1D('z', 'z', 20, -20, 20, 'main primary vertex position z coordinate'),
0631 )
0632 ),
0633 Photon = cms.PSet(
0634 sels = cms.PSet(),
0635 plots = cms.VPSet(
0636 Count1D('_size', 9, -0.5, 8.5, 'slimmedPhotons after basic selection (pt > 5 )'),
0637 Plot1D('charge', 'charge', 1, -0.5, 0.5, 'electric charge'),
0638 Plot1D('cutBased', 'cutBased', 4, -0.5, 3.5,'cut-based ID bitmap, (0:fail, 1:loose, 2:medium, 3:tight)'),
0639 Plot1D('cutBased_Fall17V2', 'cutBased_Fall17V2', 4, -0.5, 3.5, 'cut-based ID bitmap, Fall17V2, (0:fail, 1:loose, 2:medium, 3:tight)'),
0640 NoPlot('electronIdx'),
0641 Plot1D('electronVeto', 'electronVeto', 2, -0.5, 1.5, 'pass electron veto'),
0642 Plot1D('energyErr', 'energyErr', 20, 0, 300, 'energy error of the cluster from regression'),
0643 Plot1D('energyRaw', 'energyRaw', 100, 0, 300, 'raw energy of photon supercluster'),
0644 Plot1D('superclusterEta', 'superclusterEta', 20, -3, 3, 'supercluster eta'),
0645 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0646 Plot1D('genPartFlav', 'genPartFlav', 14, -0.5, 13.5, 'Flavour of genParticle for MC matching to status==1 photons or electrons: 1 = prompt photon, 13 = prompt electron, 0 = unknown or unmatched'),
0647 NoPlot('genPartIdx'),
0648 Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
0649 Plot1D('hoe_Tower', 'hoe_Tower', 20, 0, 0.6, 'H over E Tower based calculation'),
0650 Plot1D('hoe_PUcorr', 'hoe_PUcorr', 20, 0, 0.6, 'H over E with PU correction'),
0651 Plot1D('isScEtaEB', 'isScEtaEB', 2, -0.5, 1.5, 'is supercluster eta within barrel acceptance'),
0652 Plot1D('isScEtaEE', 'isScEtaEE', 2, -0.5, 1.5, 'is supercluster eta within endcap acceptance'),
0653 NoPlot('jetIdx'),
0654 NoPlot('mass'),
0655 Plot1D('mvaID', 'mvaID', 20, -1, 1, 'MVA ID score'),
0656 Plot1D('mvaID_WP80', 'mvaID_WP80', 2, -0.5, 1.5, 'MVA ID WP80'),
0657 Plot1D('mvaID_WP90', 'mvaID_WP90', 2, -0.5, 1.5, 'MVA ID WP90'),
0658 Plot1D('mvaID_Fall17V2', 'mvaID_Fall17V2', 20, -1, 1, 'Fall17V2 MVA ID score'),
0659 Plot1D('mvaID_Fall17V2_WP80', 'mvaID_WP80_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP80'),
0660 Plot1D('mvaID_Fall17V2_WP90', 'mvaID_WP90_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP90'),
0661 Plot1D('trkSumPtHollowConeDR03', 'trkSumPtHollowConeDR03', 100, 0, 8, 'Sum of track pT in a hollow cone of outer radius, inner radius'),
0662 Plot1D('trkSumPtSolidConeDR04', 'trkSumPtSolidConeDR04', 100, 0, 8, 'Sum of track pT in a cone of dR=0.4'),
0663 Plot1D('ecalPFClusterIso', 'ecalPFClusterIso', 100, 0, 10, 'sum pt of ecal clusters, vetoing clusters part of photon'),
0664 Plot1D('hcalPFClusterIso', 'hcalPFClusterIso', 100, 0, 10, 'sum pt of hcal clusters, vetoing clusters part of photon'),
0665 Plot1D('pfPhoIso03', 'pfPhoIso03', 100, 0, 1, 'PF absolute isolation dR=0.3, photon component (uncorrected)'),
0666 Plot1D('pfChargedIso', 'pfChargedIso', 100, 0, 10, 'PF absolute isolation dR=0.3, charged component with dxy,dz match to PV'),
0667 Plot1D('pfChargedIsoPFPV', 'pfChargedIsoPFPV', 100, 0, 5, 'PF absolute isolation dR=0.3, charged component (PF PV only)'),
0668 Plot1D('pfChargedIsoWorstVtx', 'pfChargedIsoWorstVtx', 100, 0, 10,'PF absolute isolation dR=0.3, charged component (Vertex with largest isolation)'),
0669 Plot1D('pdgId', 'pdgId', 1, 21.5, 22.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0670 Plot1D('pfRelIso03_all_Fall17V2', 'pfRelIso03_all_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU Fall17V2 corrections)'),
0671 Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, charged component (with rho*EA PU Fall17V2 corrections)'),
0672 Plot1D('pfRelIso03_all_quadratic', 'pfRelIso03_all_quadratic', 20, 0, 2, 'PF relative isolation dR=0.3, total (with quadraticEA*rho*rho + linearEA*rho corrections)'),
0673 Plot1D('pfRelIso03_chg_quadratic', 'pfRelIso03_chg_quadratic', 20, 0, 2, 'PF relative isolation dR=0.3, charged hadron component (with quadraticEA*rho*rho + linearEA*rho corrections)'),
0674 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0675 Plot1D('pixelSeed', 'pixelSeed', 2, -0.5, 1.5, 'has pixel seed'),
0676 Plot1D('hasConversionTracks', 'hasConversionTracks', 2, -0.5, 1.5, 'Variable specifying if photon has associated conversion tracks (one-legged or two-legged)'),
0677 Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
0678 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0679 Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
0680 Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
0681 Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
0682 Plot1D('sieie', 'sieie', 100, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0683 Plot1D('sipip', 'sipip', 100, 0, 0.05, 'sigmaIphiIphi of the supercluster'),
0684 Plot1D('sieip', 'sieip', 100, -0.0002, 0.0002, 'sigma_IetaIphi of the supercluster, calculated with full 5x5 region'),
0685 Plot1D('s4', 's4', 100, 0.4, 1, 'e2x2/e5x5 of the supercluster, calculated with full 5x5 region'),
0686 Plot1D('etaWidth', 'etaWidth', 100, 0, 0.03, 'Width of the photon supercluster in eta'),
0687 Plot1D('phiWidth', 'phiWidth', 100, 0, 0.1, 'Width of the photon supercluster in phi'),
0688 Plot1D('x_calo', 'x_calo', 100, -150, 150, 'photon supercluster position on calorimeter, x coordinate (cm)'),
0689 Plot1D('y_calo', 'y_calo', 100, -150, 150, 'photon supercluster position on calorimeter, y coordinate (cm)'),
0690 Plot1D('z_calo', 'z_calo', 100, -330, 330, 'photon supercluster position on calorimeter, y coordinate (cm)'),
0691 Plot1D('esEffSigmaRR', 'esEffSigmaRR', 100, 0, 10, 'preshower sigmaRR'),
0692 Plot1D('esEnergyOverRawE', 'esEnergyOverRawE', 100, 0, 0.2, 'ratio of preshower energy to raw supercluster energy'),
0693 NoPlot('vidNestedWPBitmap'),
0694 NoPlot('vidNestedWPBitmap_Fall17V2'),
0695 )
0696 ),
0697 Proton_multiRP = cms.PSet(
0698 sels = cms.PSet(),
0699 plots = cms.VPSet(
0700 Count1D('_size', 3, -0.5, 2.5, 'bon'),
0701 Plot1D('arm', 'arm', 2, -0.5, 1.5, '0 = sector45, 1 = sector56'),
0702 Plot1D('t', 't', 20, -500, -0.003, 'Mandelstam variable t'),
0703 Plot1D('thetaX', 'thetaX', 20, -0.0004, 0.0004, 'scattering angle in the y direction'),
0704 Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
0705 Plot1D('time', 'time', 20, -1000, -1000, 'time'),
0706 Plot1D('timeUnc', 'timeUnc', 20, 0, 0, 'time uncertainty'),
0707 Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
0708 )
0709 ),
0710 Proton_singleRP = cms.PSet(
0711 sels = cms.PSet(),
0712 plots = cms.VPSet(
0713 Count1D('_size', 3, -0.5, 2.5, 'bon'),
0714 Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
0715 Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
0716 Plot1D('decRPId', 'decRPId', 20, 0, 200, 'Detector ID'),
0717 )
0718 ),
0719 Pileup = cms.PSet(
0720 sels = cms.PSet(),
0721 plots = cms.VPSet(
0722 Plot1D('gpudensity', 'gpudensity', 20, 0, 0.9, 'Generator-level PU vertices / mm'),
0723 Plot1D('nPU', 'nPU', 20, 0, 60, 'the number of pileup interactions that have been added to the event in the current bunch crossing'),
0724 Plot1D('nTrueInt', 'nTrueInt', 20, 0, 60, 'the true mean number of the poisson distribution for this event from which the number of interactions each bunch crossing has been sampled'),
0725 Plot1D('pudensity', 'pudensity', 5, -0.5, 4.5, 'PU vertices / mm'),
0726 Plot1D('sumEOOT', 'sumEOOT', 20, 0, 800, 'number of early out of time pileup'),
0727 Plot1D('sumLOOT', 'sumLOOT', 20, 0, 300, 'number of late out of time pileup'),
0728 Plot1D('pthatmax','pthatmax',20, 0, 400, 'Maximum pt-hat'),
0729 )
0730 ),
0731 PuppiMET = cms.PSet(
0732 sels = cms.PSet(),
0733 plots = cms.VPSet(
0734
0735 Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
0736 Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
0737 Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
0738 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0739 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0740 Plot1D('significance', 'significance', 20, 0, 200, 'PuppiMET significance'),
0741 Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
0742 Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for PuppiMET significance'),
0743
0744 Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
0745 Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
0746 Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
0747 Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
0748 )
0749 ),
0750 RawPFMET = cms.PSet(
0751 sels = cms.PSet(),
0752 plots = cms.VPSet(
0753 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0754 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0755 Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
0756 )
0757 ),
0758 RawPuppiMET = cms.PSet(
0759 sels = cms.PSet(),
0760 plots = cms.VPSet(
0761 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0762 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0763 Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
0764 )
0765 ),
0766 SV = cms.PSet(
0767 sels = cms.PSet(),
0768 plots = cms.VPSet(
0769 Count1D('_size', 14, -0.5, 13.5),
0770 Plot1D('chi2', 'chi2', 20, -2000, 2000, 'reduced chi2, i.e. chi/ndof'),
0771 Plot1D('dlen', 'dlen', 20, 0, 4, 'decay length in cm'),
0772 Plot1D('dlenSig', 'dlenSig', 20, 0, 50, 'decay length significance'),
0773 Plot1D('dxy', 'dxy', 20, 0, 4, '2D decay length in cm'),
0774 Plot1D('dxySig', 'dxySig', 20, 0, 50, '2D decay length significance'),
0775 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0776 Plot1D('mass', 'mass', 20, 0, 8, 'mass'),
0777 Plot1D('ndof', 'ndof', 20, -1, 19, 'number of degrees of freedom'),
0778 Plot1D('pAngle', 'pAngle', 20, -3.1416, 3.1416, 'pointing angle, i.e. acos(p_SV * (SV - PV)) '),
0779 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0780 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0781 Plot1D('x', 'x', 20, -0.5, 0.5, 'secondary vertex X position, in cm'),
0782 Plot1D('y', 'y', 20, -0.5, 0.5, 'secondary vertex Y position, in cm'),
0783 Plot1D('z', 'z', 20, -10, 10, 'secondary vertex Z position, in cm'),
0784 Plot1D('ntracks', 'ntracks', 11, -0.5, 10.5, 'number of tracks'),
0785 Plot1D('charge', 'charge', 11 , -0.5, 10.5, 'sum of the charge of the SV tracks'),
0786 )
0787 ),
0788 SoftActivityJet = cms.PSet(
0789 sels = cms.PSet(),
0790 plots = cms.VPSet(
0791 Count1D('_size', 7, -0.5, 6.5, 'jets clustered from charged candidates compatible with primary vertex (charge()!=0 && pvAssociationQuality()>=5 && vertexRef().key()==0)'),
0792 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0793 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0794 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0795 )
0796 ),
0797 SubJet = cms.PSet(
0798 sels = cms.PSet(),
0799 plots = cms.VPSet(
0800 Count1D('_size', 9, -0.5, 8.5, 'slimmedJetsAK8PFPuppiSoftDropPacked::SubJets, i.e. soft-drop subjets for ak8 fat jets for boosted'),
0801 Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
0802 Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
0803 Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
0804 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0805 Plot1D('mass', 'mass', 20, -200, 200, 'mass'),
0806 Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
0807 Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
0808 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0809 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0810 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0811 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0812 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0813 Plot1D('area', 'area', 25, 0, 2.5, 'jet catchment area, for JECs'),
0814 Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
0815 Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
0816 Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
0817 Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
0818 )
0819 ),
0820 Tau = cms.PSet(
0821 sels = cms.PSet(),
0822 plots = cms.VPSet(
0823 Count1D('_size', 7, -0.5, 6.5, "slimmedTaus after basic selection (pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT')))"),
0824 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0825 Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
0826 Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
0827 Plot1D('decayModePNet', 'decayModePNet', 13, -1.5, 11.5, 'decay mode of the highest PNet tau score (CHS jets)'),
0828 Plot1D('decayModeUParT', 'decayModeUParT', 13, -1.5, 11.5, 'decay mode of the highest UParT tau score (PUPPI jets)'),
0829 Plot1D('dxy', 'dxy', 20, -1000, 1000, 'd_{xy} of lead track with respect to PV, in cm (with sign)'),
0830 Plot1D('dz', 'dz', 20, -20, 20, 'd_{z} of lead track with respect to PV, in cm (with sign)'),
0831 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0832 Plot1D('genPartFlav', 'genPartFlav', 6, -0.5, 5.5, 'Flavour of genParticle for MC matching to status==2 taus: 1 = prompt electron, 2 = prompt muon, 3 = tau->e decay, 4 = tau->mu decay, 5 = hadronic tau decay, 0 = unknown or unmatched'),
0833 NoPlot('genPartIdx'),
0834 Plot1D('idAntiEleDeadECal', 'idAntiEleDeadECal', 2, -0.5, 1.5, "tauID('againstElectronDeadECAL')"),
0835 Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
0836 Plot1D('idDecayModeOldDMs', 'idDecayModeOldDMs', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
0837 Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
0838 Plot1D('idDeepTau2017v2p1VSe', 'idDeepTau2017v2p1VSe', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSe ID working points (deepTau2017v2p1): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
0839 Plot1D('idDeepTau2017v2p1VSjet', 'idDeepTau2017v2p1VSjet', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSjet ID working points (deepTau2017v2p1): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
0840 Plot1D('idDeepTau2017v2p1VSmu', 'idDeepTau2017v2p1VSmu', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSmu ID working points (deepTau2017v2p1): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
0841 Plot1D('idDeepTau2018v2p5VSe', 'idDeepTau2018v2p5VSe', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSe ID working points (deepTau2018v2p5): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
0842 Plot1D('idDeepTau2018v2p5VSjet', 'idDeepTau2018v2p5VSjet', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSjet ID working points (deepTau2018v2p5): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
0843 Plot1D('idDeepTau2018v2p5VSmu', 'idDeepTau2018v2p5VSmu', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSmu ID working points (deepTau2018v2p5): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
0844 NoPlot('jetIdx'),
0845 Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
0846 Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
0847 Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
0848 Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
0849 Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
0850 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0851 Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
0852 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0853 Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
0854 Plot1D('rawDeepTau2017v2p1VSe', 'rawDeepTau2017v2p1VSe', 20, 0, 1, 'byDeepTau2017v2p1VSe raw output discriminator (deepTau2017v2p1)'),
0855 Plot1D('rawDeepTau2017v2p1VSjet', 'rawDeepTau2017v2p1VSjet', 20, 0, 1, 'byDeepTau2017v2p1VSjet raw output discriminator (deepTau2017v2p1)'),
0856 Plot1D('rawDeepTau2017v2p1VSmu', 'rawDeepTau2017v2p1VSmu', 20, 0, 1, 'byDeepTau2017v2p1VSmu raw output discriminator (deepTau2017v2p1)'),
0857 Plot1D('rawDeepTau2018v2p5VSe', 'rawDeepTau2018v2p5VSe', 20, 0, 1, 'byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)'),
0858 Plot1D('rawDeepTau2018v2p5VSjet', 'rawDeepTau2018v2p5VSjet', 20, 0, 1, 'byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)'),
0859 Plot1D('rawDeepTau2018v2p5VSmu', 'rawDeepTau2018v2p5VSmu', 20, 0, 1, 'byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)'),
0860 Plot1D('rawPNetVSe', 'rawPNetVSe', 20, 0, 1, 'byPNetVSe raw output discriminator (PNet 2023 - CHS Jets)'),
0861 Plot1D('rawPNetVSjet', 'rawPNetVSjet', 20, 0, 1, 'byPNetVSjet raw output discriminator (PNet 2023 - CHS Jets)'),
0862 Plot1D('rawPNetVSmu', 'rawPNetVSmu', 20, 0, 1, 'byPNetVSmu raw output discriminator (PNet 2023 - CHS Jets)'),
0863 Plot1D('rawUParTVSe', 'rawUParTVSe', 20, 0, 1, 'byUParTVSe raw output discriminator (UParT 2024 - PUPPI Jets)'),
0864 Plot1D('rawUParTVSjet', 'rawUParTVSjet', 20, 0, 1, 'byUParTVSjet raw output discriminator (UParT 2024 - PUPPI Jets)'),
0865 Plot1D('rawUParTVSmu', 'rawUParTVSmu', 20, 0, 1, 'byUParTVSmu raw output discriminator (UParT 2024 - PUPPI Jets)'),
0866 Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
0867 Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
0868 Plot1D('ptCorrPNet', 'ptCorrPNet', 20, 0, 2, 'pt correction (PNet 2023 - CHS Jets)'),
0869 Plot1D('qConfPNet', 'qConfPNet', 20, -0.5, 0.5, 'signed charge confidence (PNet 2023 - CHS Jets)'),
0870 Plot1D('probDM0PNet', 'probDM0PNet', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (PNet 2023 - CHS Jets)'),
0871 Plot1D('probDM1PNet', 'probDM1PNet', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (PNet 2023 - CHS Jets)'),
0872 Plot1D('probDM2PNet', 'probDM2PNet', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (PNet 2023 - CHS Jets)'),
0873 Plot1D('probDM10PNet', 'probDM10PNet', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (PNet 2023 - CHS Jets)'),
0874 Plot1D('probDM11PNet', 'probDM11PNet', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (PNet 2023 - CHS Jets)'),
0875 Plot1D('ptCorrUParT', 'ptCorrUParT', 20, 0, 2, 'pt correction (UParT 2024 - PUPPI Jets)'),
0876 Plot1D('qConfUParT', 'qConfUUParT', 20, -0.5, 0.5, 'signed charge confidence (UParT 2024 - PUPPI Jets)'),
0877 Plot1D('probDM0UParT', 'probDM0UParT', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (UParT 2024 - PUPPI Jets)'),
0878 Plot1D('probDM1UParT', 'probDM1UParT', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (UParT 2024 - PUPPI Jets)'),
0879 Plot1D('probDM2UParT', 'probDM2UParT', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (UParT 2024 - PUPPI Jets)'),
0880 Plot1D('probDM10UParT', 'probDM10UParT', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (UParT 2024 - PUPPI Jets)'),
0881 Plot1D('probDM11UParT', 'probDM11UParT', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (UParT 2024 - PUPPI Jets)'),
0882 )
0883 ),
0884 TauProd = cms.PSet(
0885 sels = cms.PSet(),
0886 plots = cms.VPSet(
0887 Count1D('_size', 40, -0.5, 5.5, 'tau decay products'),
0888 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0889 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0890 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0891 Plot1D('pdgId', 'pdgId', 200, -10250, 10250, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0892 NoPlot('status'),
0893 )
0894 ),
0895 TrkMET = cms.PSet(
0896 sels = cms.PSet(),
0897 plots = cms.VPSet(
0898 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0899 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0900 Plot1D('sumEt', 'sumEt', 20, 0, 2000, 'scalar sum of Et'),
0901 )
0902 ),
0903 TrigObj = cms.PSet(
0904 sels = cms.PSet(
0905 Electron = cms.string('id == 11'),
0906 HT = cms.string('id == 3'),
0907 Jet = cms.string('id == 1'),
0908 MET = cms.string('id == 2'),
0909 MHT = cms.string('id == 4'),
0910 Muon = cms.string('id == 13'),
0911 Photon = cms.string('id == 22'),
0912 Tau = cms.string('id == 15')
0913 ),
0914 plots = cms.VPSet(
0915 Count1D('_size', 28, -0.5, 27.5),
0916 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0917 Plot1D('filterBits', 'filterBits', 31, 0, 31, 'extra bits of associated information, object- and era-dependent: see branch documentation', bitset=True),
0918 Plot1D('id', 'id', 20, 0, 30, 'ID of the object: 11 = Electron (PixelMatched e/gamma), 22 = Photon (PixelMatch-vetoed e/gamma), 13 = Muon, 14 = Tau, 1 = Jet, 2 = MET, 3 = HT, 4 = MHT'),
0919 Plot1D('l1charge', 'l1charge', 3, -1.5, 1.5, 'charge of associated L1 seed'),
0920 Plot1D('l1iso', 'l1iso', 4, -0.5, 3.5, 'iso of associated L1 seed'),
0921 Plot1D('l1pt', 'l1pt', 20, 0, 200, 'pt of associated L1 seed'),
0922 Plot1D('l1pt_2', 'l1pt_2', 20, 0, 200, 'pt of associated secondary L1 seed'),
0923 Plot1D('l2pt', 'l2pt', 20, 0, 200, "pt of associated 'L2' seed (i.e. HLT before tracking/PF)"),
0924 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0925 Plot1D('pt', 'pt', 40, 0, 400, 'pt'),
0926 )
0927 ),
0928 boostedTau = cms.PSet(
0929 sels = cms.PSet(),
0930 plots = cms.VPSet(
0931 Count1D('_size', 7, -0.5, 6.5, "slimmedBoostedTaus after basic selection (pt > 40 && tauID('decayModeFindingNewDMs') && (tauID('byVVLooseIsolationMVArun2017v2DBoldDMwLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBoldDMdR0p3wLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBnewDMwLT2017')))"),
0932 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0933 Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
0934 Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
0935 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0936 Plot1D('genPartFlav', 'genPartFlav', 6, -0.5, 5.5, 'Flavour of genParticle for MC matching to status==2 taus: 1 = prompt electron, 2 = prompt muon, 3 = tau->e decay, 4 = tau->mu decay, 5 = hadronic tau decay, 0 = unknown or unmatched'),
0937 NoPlot('genPartIdx'),
0938 Plot1D('idAntiEle2018', 'idAntiEle2018', 11, -0.5, 10.5, 'Anti-electron MVA discriminator V6 (2018): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight'),
0939 Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
0940 Plot1D('idMVAnewDM2017v2', 'idMVAnewDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBnewDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
0941 Plot1D('idMVAoldDM2017v2', 'idMVAoldDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBoldDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
0942 NoPlot('jetIdx'),
0943 Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
0944 Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
0945 Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
0946 Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
0947 Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
0948 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0949 Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
0950 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0951 Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
0952 Plot1D('rawAntiEle2018', 'rawAntiEle2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator (2018)'),
0953 Plot1D('rawAntiEleCat2018', 'rawAntiEleCat2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 category (2018)'),
0954 Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
0955 Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
0956 Plot1D('rawMVAnewDM2017v2', 'rawMVAnewDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBnewDMwLT raw output discriminator (2017v2)'),
0957 Plot1D('rawMVAoldDM2017v2', 'rawMVAoldDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBoldDMwLT raw output discriminator (2017v2)'),
0958 )
0959 ),
0960 L1PreFiringWeight = cms.PSet(
0961 sels = cms.PSet(),
0962 plots = cms.VPSet(
0963 Plot1D('Nom', 'Nom', 21, 0.8, 1.01, 'L1 prefiring weight nominal'),
0964 Plot1D('Up', 'Up', 21, 0.8, 1.01, 'L1 prefiring weight uncertainy up'),
0965 Plot1D('Dn', 'Dn', 21, 0.8, 1.01, 'L1 prefiring weight uncertainty down'),
0966 Plot1D('ECAL_Nom', 'ECAL_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for ECAL objects nominal'),
0967 Plot1D('Muon_Nom', 'Muon_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for muons nominal'),
0968 )
0969
0970 ),
0971 BeamSpot = cms.PSet(
0972 sels = cms.PSet(),
0973 plots = cms.VPSet(
0974 Plot1D('z', 'z', 20, 0.5, 1.5, 'BeamSpot center, z coordinate (cm)'),
0975 Plot1D('zError', 'zError', 20, 0., 0.01, 'Error on BeamSpot center, z coordinate (cm)'),
0976 Plot1D('sigmaZ', 'sigmaZ', 20, 0., 10, 'Width of BeamSpot in z (cm)'),
0977 Plot1D('sigmaZError', 'sigmaZError', 20, 0., 0.01, 'Error on width of BeamSpot in z (cm)'),
0978 )
0979 ),
0980 Rho = cms.PSet(
0981 sels = cms.PSet(),
0982 plots = cms.VPSet(
0983 Plot1D('fixedGridRhoAll', 'fixedGridRhoAll', 100, 0, 80, 'rho from all PF Candidates, no foreground removal (for isolation of prompt photons)'),
0984 )
0985 ),
0986 )
0987 )
0988
