File indexing completed on 2024-11-14 04:15:45
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('muonSubtrDeltaEta', 'muonSubtrDeltaEta', 40, -0.4, 0.4, 'muon-subtracted raw eta - eta'),
0024 Plot1D('muonSubtrDeltaPhi', 'muonSubtrDeltaPhi', 40, -0.4, 0.4, 'muon-subtracted raw phi - phi'),
0025 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0026 Plot1D('rawPt', 'rawPt', 20, 5, 25, "pt()*jecFactor('Uncorrected')"),
0027 Plot1D('rawMass', 'rawMass', 20, 5, 25, "mass()*jecFactor('Uncorrected')"),
0028 Plot1D('EmEF', 'EmEF', 20, 0., 1., "charged+neutral Electromagnetic Energy Fraction"),
0029 )
0030 ),
0031 DeepMETResolutionTune = cms.PSet(
0032 sels = cms.PSet(),
0033 plots = cms.VPSet(
0034 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Resolution Tune phi'),
0035 Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
0036 )
0037 ),
0038 DeepMETResponseTune = cms.PSet(
0039 sels = cms.PSet(),
0040 plots = cms.VPSet(
0041 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Response Tune phi'),
0042 Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
0043 )
0044 ),
0045 Electron = cms.PSet(
0046 sels = cms.PSet(
0047 Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && cutBased >= 3 && miniPFRelIso_all < 0.4')
0048 ),
0049 plots = cms.VPSet(
0050 Count1D('_size', 8, -0.5, 7.5, 'slimmedElectrons after basic selection (pt > 5 )'),
0051 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0052 Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
0053 Plot1D('cutBased', 'cutBased', 5, -0.5, 4.5, 'cut-based ID (0:fail, 1:veto, 2:loose, 3:medium, 4:tight)'),
0054 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)'),
0055 Plot1D('cutBased_HEEP', 'cutBased_HEEP', 2, -0.5, 1.5, 'cut-based HEEP ID'),
0056 Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
0057 Plot1D('dr03EcalRecHitSumEt', 'dr03EcalRecHitSumEt', 20, 0, 30, 'Non-PF Ecal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0058 Plot1D('dr03HcalDepth1TowerSumEt', 'dr03HcalDepth1TowerSumEt', 20, 0, 20, 'Non-PF Hcal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0059 Plot1D('dr03TkSumPt', 'dr03TkSumPt', 20, 0, 40, 'Non-PF track isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
0060 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'),
0061 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0062 Plot1D('dxyErr', 'dxyErr', 20, 0, 0.2, 'dxy uncertainty, in cm'),
0063 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0064 Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
0065 Plot1D('fbrem', 'fbrem', 20, -5.0, 5.0, 'Fraction of brem'),
0066 Plot1D('rawEnergy', 'rawEnergy', 100, 0, 1000.0, 'raw energy of Supercluster'),
0067 Plot1D('PreshowerEnergy', 'PreshowerEnergy', 20, 0, 100.0, 'energy deposited in the preshower'),
0068 Plot1D('ecalEnergy', 'ecalEnergy', 100, 0, 1000.0, 'energy after ECAL-only regression applied'),
0069 Plot1D('ecalEnergyError', 'ecalEnergyError', 20, 0, 100.0, 'ecalEnergy error'),
0070 Plot1D('gsfTrkpMode', 'gsfTrkpMode', 100, 0, 1000000.0, 'GSF track pMode'),
0071 Plot1D('gsfTrkpModeErr', 'gsfTrkpModeErr', 100, 0, 1000000.0, 'GSF track pMode error'),
0072 Plot1D('gsfTrketaMode', 'gsfTrketaMode', 20, -3.5, 3.5, 'GSF track eta Mode'),
0073 Plot1D('gsfTrkphiMode', 'gsfTrkphiMode', 20, -4, 4, 'GSF track phi Mode'),
0074 Plot1D('isEcalDriven', 'isEcalDriven', 2, -0.5, 1.5, 'is ECAL driven if true'),
0075 Plot1D('isEB', 'isEB', 2, -0.5, 1.5, 'object in barrel if true derived from the seedCrystal and detID information'),
0076 Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
0077 Plot1D('energyErr', 'energyErr', 20, 0, 90, 'energy error of the cluster-track combination'),
0078 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0079 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'),
0080 NoPlot('genPartIdx'),
0081 Plot1D('hoe', 'hoe', 20, 0, 1, 'H over E'),
0082 Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
0083 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'electron is PF candidate'),
0084 NoPlot('jetIdx'),
0085 Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 60, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
0086 Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1), -1 if none'),
0087 Plot1D('jetDF', 'jetDF', 20, 0., 1., 'value of the DEEPJET b tagging algorithm discriminator of the associated jet (0 if none)'),
0088 Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
0089 Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
0090 NoPlot('mass'),
0091 Plot1D('mvaIso_Fall17V2', 'mvaIso_Fall17V2', 20, -1, 1, 'MVA Iso ID score, Fall17V2'),
0092 Plot1D('mvaIso_Fall17V2_WP80', 'mvaIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Fall17V2'),
0093 Plot1D('mvaIso_Fall17V2_WP90', 'mvaIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Fall17V2'),
0094 Plot1D('mvaIso_Fall17V2_WPL', 'mvaIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA Iso ID loose WP, Fall17V2'),
0095 Plot1D('mvaIso', 'mvaIso', 20, -1, 1, 'MVA Iso ID score, Winter22V1'),
0096 Plot1D('mvaIso_WP80', 'mvaIso_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Winter22V1'),
0097 Plot1D('mvaIso_WP90', 'mvaIso_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Winter22V1'),
0098 Plot1D('mvaNoIso', 'mvaNoIso', 20, -1, 1, 'MVA noIso ID score, Winter22V1'),
0099 Plot1D('mvaNoIso_WP80', 'mvaNoIso_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Winter22V1'),
0100 Plot1D('mvaNoIso_WP90', 'mvaNoIso_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Winter22V1'),
0101 Plot1D('mvaNoIso_Fall17V2', 'mvaNoIso_Fall17V2', 20, -1, 1, 'MVA noIso ID score, Fall17V2'),
0102 Plot1D('mvaNoIso_Fall17V2_WP80', 'mvaNoIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Fall17V2'),
0103 Plot1D('mvaNoIso_Fall17V2_WP90', 'mvaNoIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Fall17V2'),
0104 Plot1D('mvaNoIso_Fall17V2_WPL', 'mvaNoIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA noIso ID loose WP, Fall17V2'),
0105 Plot1D('mvaHZZIso', 'mvaHZZIso', 20, -1, 1, 'HZZ MVA Iso ID score'),
0106 Plot1D('mvaIso_WPHZZ', 'mvaIso_WPHZZ', 2, -0.5, 1.5, 'MVA Iso ID WPHZZ, Winter22V1'),
0107 Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
0108 Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0109 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0110 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
0111 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU corrections)'),
0112 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0113 Plot1D('pfRelIso04_all', 'pfRelIso04_all', 20, 0, 2, 'PF relative isolation dR=0.4, total (with rho*EA PU corrections)'),
0114 Plot1D('miniPFRelIso_all_Fall17V2', 'miniPFRelIso_all_Fall17V2', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0115 Plot1D('miniPFRelIso_chg_Fall17V2', 'miniPFRelIso_chg_Fall17V2', 20, 0, 1, 'mini PF relative isolation, charged component'),
0116 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)'),
0117 Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3 with 94 EffArea, charged component'),
0118 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0119 NoPlot('photonIdx'),
0120 Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
0121 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0122 Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
0123 Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
0124 Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
0125 Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
0126 Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0127 Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV, in cm'),
0128 Plot1D('tightCharge', 'tightCharge', 3, -0.5, 2.5, 'Tight charge criteria (0:none, 1:isGsfScPixChargeConsistent, 2:isGsfCtfScPixChargeConsistent)'),
0129 NoPlot('vidNestedWPBitmap'),
0130 NoPlot('vidNestedWPBitmap_Fall17V2'),
0131 NoPlot('vidNestedWPBitmapHEEP'),
0132 )
0133 ),
0134
0135 LowPtElectron = cms.PSet(
0136 sels = cms.PSet(
0137 Good = cms.string('pt > 1. && ID > 5.')
0138 ),
0139 plots = cms.VPSet(
0140
0141 Count1D('_size', 8, -0.5, 7.5, 'slimmedLowPtElectrons after basic selection'),
0142
0143 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0144 Plot1D('eta', 'eta', 20, -3., 3., 'eta'),
0145 NoPlot('mass'),
0146 Plot1D('pdgId', 'pdgId', 101, -50.5, 50.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0147 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0148 Plot1D('pt', 'pt', 40, 0., 20., 'pt (corrected)'),
0149
0150 Plot1D('embeddedID', 'embeddedID', 40, -10., 10., 'Embedded ID, BDT (raw) score'),
0151 Plot1D('ID', 'ID', 40, -10., 10., 'ID, BDT (raw) score'),
0152 Plot1D('unbiased', 'unbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- agnostic BDT (raw) score'),
0153 Plot1D('ptbiased', 'ptbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- dependent BDT (raw) score'),
0154
0155 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0., 1., 'mini PF relative isolation, charged component'),
0156 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0., 1., 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0157
0158 Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
0159 Plot1D('convWP', 'convWP', 8, -0.5, 7.5, 'conversion flag bit map: 1=Veto, 2=Loose, 3=Tight'),
0160 Plot1D('convVtxRadius', 'convVtxRadius', 40, 0., 20.0, 'conversion vertex radius (cm)'),
0161
0162 Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
0163
0164 Plot1D('energyErr', 'energyErr', 40, 0., 20., 'energy error of the cluster from regression'),
0165 Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
0166 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0167 Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0168 Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
0169 Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
0170 Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
0171
0172 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0173 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0174 Plot1D('dxyErr', 'dxyErr', 20, 0., 0.2, 'dxy uncertainty, in cm'),
0175 Plot1D('dzErr', 'dzErr', 20, 0., 0.2, 'dz uncertainty, in cm'),
0176 ),
0177 ),
0178
0179 FatJet = cms.PSet(
0180 sels = cms.PSet(),
0181 plots = cms.VPSet(
0182 Count1D('_size', 6, -0.5, 5.5, 'slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis'),
0183 Plot1D('area', 'area', 20, 2, 4, 'jet catchment area, for JECs'),
0184 Plot1D('globalParT3_Xbb', 'globalParT3_Xbb', 20, -1, 1, 'GlobalParT-3 X->bb score'),
0185 Plot1D('globalParT3_Xcc', 'globalParT3_Xcc', 20, -1, 1, 'GlobalParT-3 X->cc score'),
0186 Plot1D('globalParT3_Xcs', 'globalParT3_Xcs', 20, -1, 1, 'GlobalParT-3 X->cs score'),
0187 Plot1D('globalParT3_Xqq', 'globalParT3_Xqq', 20, -1, 1, 'GlobalParT-3 X->qq (ss/dd/uu) score'),
0188 Plot1D('globalParT3_Xtauhtaue', 'globalParT3_Xtauhtaue', 20, -1, 1, 'GlobalParT-3 X->tauhtaue score'),
0189 Plot1D('globalParT3_Xtauhtaum', 'globalParT3_Xtauhtaum', 20, -1, 1, 'GlobalParT-3 X->tauhtaum score'),
0190 Plot1D('globalParT3_Xtauhtauh', 'globalParT3_Xtauhtauh', 20, -1, 1, 'GlobalParT-3 X->tauhtauh score'),
0191 Plot1D('globalParT3_XWW4q', 'globalParT3_XWW4q', 20, -1, 1, 'GlobalParT-3 X->WW4q score'),
0192 Plot1D('globalParT3_XWW3q', 'globalParT3_XWW3q', 20, -1, 1, 'GlobalParT-3 X->WW3q score'),
0193 Plot1D('globalParT3_XWWqqev', 'globalParT3_XWWqqev', 20, -1, 1, 'GlobalParT-3 X->WWqqev score'),
0194 Plot1D('globalParT3_XWWqqmv', 'globalParT3_XWWqqmv', 20, -1, 1, 'GlobalParT-3 X->WWqqmv score'),
0195 Plot1D('globalParT3_TopbWqq', 'globalParT3_TopbWqq', 20, -1, 1, 'GlobalParT-3 Top->bWqq score'),
0196 Plot1D('globalParT3_TopbWq', 'globalParT3_TopbWq', 20, -1, 1, 'GlobalParT-3 Top->bWq score'),
0197 Plot1D('globalParT3_TopbWev', 'globalParT3_TopbWev', 20, -1, 1, 'GlobalParT-3 Top->bWev score'),
0198 Plot1D('globalParT3_TopbWmv', 'globalParT3_TopbWmv', 20, -1, 1, 'GlobalParT-3 Top->bWmv score'),
0199 Plot1D('globalParT3_TopbWtauhv', 'globalParT3_TopbWtauhv', 20, -1, 1, 'GlobalParT-3 Top->bWtauhv score'),
0200 Plot1D('globalParT3_QCD', 'globalParT3_QCD', 20, -1, 1, 'GlobalParT-3 QCD score'),
0201 Plot1D('globalParT3_massCorrX2p', 'globalParT3_massCorrX2p', 20, -1, 2, 'GlobalParT-3 mass regression corrector (for X->2-prong jets)'),
0202 Plot1D('globalParT3_massCorrGeneric', 'globalParT3_massCorrGeneric', 20, -1, 2, 'GlobalParT-3 mass regression corrector (for generic cases)'),
0203 Plot1D('globalParT3_withMassTopvsQCD', 'globalParT3_withMassTopvsQCD', 20, -1, 1, 'GlobalParT-3 tagger (mass-correlated) Top vs QCD discriminator'),
0204 Plot1D('globalParT3_withMassWvsQCD', 'globalParT3_withMassWvsQCD', 20, -1, 1, 'GlobalParT-3 tagger (mass-correlated) W vs QCD discriminator'),
0205 Plot1D('globalParT3_withMassZvsQCD', 'globalParT3_withMassZvsQCD', 20, -1, 1, 'GlobalParT-3 tagger (mass-correlated) Z vs QCD discriminator'),
0206 Plot1D('particleNetWithMass_QCD', 'particleNetWithMass_QCD', 20, -1, 1, 'ParticleNet (mass-correlated) QCD score'),
0207 Plot1D('particleNetWithMass_TvsQCD', 'particleNetWithMass_TvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) top vs. QCD score'),
0208 Plot1D('particleNetWithMass_WvsQCD', 'particleNetWithMass_WvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) W vs. QCD score'),
0209 Plot1D('particleNetWithMass_ZvsQCD', 'particleNetWithMass_ZvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) Z vs. QCD score'),
0210 Plot1D('particleNetWithMass_H4qvsQCD', 'particleNetWithMass_H4qvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H(->VV->qqqq) vs. QCD score'),
0211 Plot1D('particleNetWithMass_HbbvsQCD', 'particleNetWithMass_HbbvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->bb vs. QCD score'),
0212 Plot1D('particleNetWithMass_HccvsQCD', 'particleNetWithMass_HccvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->cc vs. QCD score'),
0213 Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet QCD score'),
0214 Plot1D('particleNet_QCD2HF', 'particleNet_QCD2HF', 20, 0, 1, 'ParticleNet QCD 2HF (b,c) score'),
0215 Plot1D('particleNet_QCD1HF', 'particleNet_QCD1HF', 20, 0, 1, 'ParticleNet QCD 1HF (b,c) score'),
0216 Plot1D('particleNet_QCD0HF', 'particleNet_QCD0HF', 20, 0, 1, 'ParticleNet QCD 0HF (b,c) score'),
0217 Plot1D('particleNet_massCorr', 'particleNet_massCorr', 20, 0, 2, 'ParticleNet mass regression, correction relative to jet mass'),
0218 Plot1D('particleNet_XbbVsQCD', 'particleNet_XbbVsQCD', 20, 0, 1, 'ParticleNet X->bb vs. QCD score'),
0219 Plot1D('particleNet_XccVsQCD', 'particleNet_XccVsQCD', 20, 0, 1, 'ParticleNet X->cc vs. QCD score'),
0220 Plot1D('particleNet_XqqVsQCD', 'particleNet_XqqVsQCD', 20, 0, 1, 'ParticleNet X->qq (uds) vs. QCD score'),
0221 Plot1D('particleNet_XggVsQCD', 'particleNet_XggVsQCD', 20, 0, 1, 'ParticleNet X->gg vs. QCD score'),
0222 Plot1D('particleNet_XttVsQCD', 'particleNet_XttVsQCD', 20, 0, 1, 'ParticleNet X->tautau vs. QCD score'),
0223 Plot1D('particleNet_XtmVsQCD', 'particleNet_XtmVsQCD', 20, 0, 1, 'ParticleNet X->mutau vs. QCD score'),
0224 Plot1D('particleNet_XteVsQCD', 'particleNet_XteVsQCD', 20, 0, 1, 'ParticleNet X->etau vs. QCD score'),
0225 Plot1D('particleNet_WVsQCD', 'particleNet_WVsQCD', 20, 0, 1, 'ParticleNet W vs. QCD score'),
0226 NoPlot('electronIdx3SJ'),
0227 Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
0228 NoPlot('genJetAK8Idx'),
0229 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0230 Plot1D('lsf3', 'lsf3', 20, -1, 1, 'Lepton Subjet Fraction (3 subjets)'),
0231 Plot1D('mass', 'mass', 20, 0, 300, 'mass'),
0232 Plot1D('msoftdrop', 'msoftdrop', 20, -300, 300, 'Soft drop mass'),
0233 NoPlot('muonIdx3SJ'),
0234 Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
0235 Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
0236 Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
0237 Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
0238 Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
0239 Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
0240 Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
0241 Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
0242 Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
0243 Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
0244 Plot1D('hfHEF', 'hfHEF', 20, 0, 1, 'hadronic Energy Fraction in HF'),
0245 Plot1D('hfEmEF', 'hfEmEF', 20, 0, 1, 'electromagnetic Energy Fraction in HF'),
0246 Plot1D('particleNetMD_QCD', 'particleNetMD_QCD', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw QCD score'),
0247 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)'),
0248 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)'),
0249 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)'),
0250 Plot1D('particleNet_H4qvsQCD', 'particleNet_H4qvsQCD', 20, 0, 1, 'ParticleNet tagger H(->VV->qqqq) vs QCD discriminator'),
0251 Plot1D('particleNet_HbbvsQCD', 'particleNet_HbbvsQCD', 20, 0, 1, 'ParticleNet tagger H(->bb) vs QCD discriminator'),
0252 Plot1D('particleNet_HccvsQCD', 'particleNet_HccvsQCD', 20, 0, 1, 'ParticleNet tagger H(->cc) vs QCD discriminator'),
0253 Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet tagger QCD(bb,cc,b,c,others) sum'),
0254 Plot1D('particleNet_TvsQCD', 'particleNet_TvsQCD', 20, 0, 1, 'ParticleNet tagger top vs QCD discriminator'),
0255 Plot1D('particleNet_WvsQCD', 'particleNet_WvsQCD', 20, 0, 1, 'ParticleNet tagger W vs QCD discriminator'),
0256 Plot1D('particleNet_ZvsQCD', 'particleNet_ZvsQCD', 20, 0, 1, 'ParticleNet tagger Z vs QCD discriminator'),
0257 Plot1D('particleNet_mass', 'particleNet_mass', 25, 0, 250, 'ParticleNet mass regression'),
0258 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0259 Plot1D('pt', 'pt', 20, 0, 800, 'pt'),
0260 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0261 NoPlot('subJetIdx1'),
0262 NoPlot('subJetIdx2'),
0263 Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
0264 Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
0265 Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
0266 Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
0267 )
0268 ),
0269 PFCand = cms.PSet(
0270 sels = cms.PSet(),
0271 plots = cms.VPSet(
0272 Count1D('_size', 10, 0, 100, 'PF candidates'),
0273 Plot1D('pt', 'pt', 20, 0, 50, 'Puppi-weighted pt'),
0274 Plot1D('eta', 'eta', 20, -4, 4., 'eta'),
0275 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0276 Plot1D('mass', 'mass', 10, 0, 1., 'Puppi-weighted mass'),
0277 Plot1D('pdgId', 'pdgId', 44, -220, 220, 'PF candidate type (+/-211 = ChgHad, 130 = NeuHad, 22 = Photon, +/-11 = Electron, +/-13 = Muon, 1 = HFHad, 2 = HFEM)'),
0278 )
0279 ),
0280 Flag = cms.PSet(
0281 sels = cms.PSet(),
0282 plots = cms.VPSet(
0283 Plot1D('BadChargedCandidateFilter', 'BadChargedCandidateFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0284 Plot1D('BadChargedCandidateSummer16Filter', 'BadChargedCandidateSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0285 Plot1D('BadPFMuonFilter', 'BadPFMuonFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0286 Plot1D('BadPFMuonDzFilter', 'BadPFMuonDzFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0287 Plot1D('BadPFMuonSummer16Filter', 'BadPFMuonSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0288 Plot1D('CSCTightHalo2015Filter', 'CSCTightHalo2015Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0289 Plot1D('CSCTightHaloFilter', 'CSCTightHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0290 Plot1D('CSCTightHaloTrkMuUnvetoFilter', 'CSCTightHaloTrkMuUnvetoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0291 Plot1D('EcalDeadCellBoundaryEnergyFilter', 'EcalDeadCellBoundaryEnergyFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0292 Plot1D('EcalDeadCellTriggerPrimitiveFilter', 'EcalDeadCellTriggerPrimitiveFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0293 Plot1D('HBHENoiseFilter', 'HBHENoiseFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0294 Plot1D('HBHENoiseIsoFilter', 'HBHENoiseIsoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0295 Plot1D('HcalStripHaloFilter', 'HcalStripHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0296 Plot1D('METFilters', 'METFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0297 Plot1D('chargedHadronTrackResolutionFilter', 'chargedHadronTrackResolutionFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0298 Plot1D('ecalBadCalibFilter', 'ecalBadCalibFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0299 Plot1D('ecalBadCalibFilterV2', 'ecalBadCalibFilterV2', 1, 0.5, 1.5, 'Bad ECAL calib flag (updated xtal list)'),
0300 Plot1D('ecalLaserCorrFilter', 'ecalLaserCorrFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0301 Plot1D('eeBadScFilter', 'eeBadScFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0302 Plot1D('globalSuperTightHalo2016Filter', 'globalSuperTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0303 Plot1D('globalTightHalo2016Filter', 'globalTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0304 Plot1D('hfNoisyHitsFilter', 'hfNoisyHitsFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0305 Plot1D('goodVertices', 'goodVertices', 2, -0.5, 1.5, 'Trigger/flag bit'),
0306 Plot1D('hcalLaserEventFilter', 'hcalLaserEventFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0307 Plot1D('muonBadTrackFilter', 'muonBadTrackFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
0308 Plot1D('trkPOGFilters', 'trkPOGFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0309 Plot1D('trkPOG_logErrorTooManyClusters', 'trkPOG_logErrorTooManyClusters', 2, -0.5, 1.5, 'Trigger/flag bit'),
0310 Plot1D('trkPOG_manystripclus53X', 'trkPOG_manystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
0311 Plot1D('trkPOG_toomanystripclus53X', 'trkPOG_toomanystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
0312 )
0313 ),
0314 FsrPhoton = cms.PSet(
0315 sels = cms.PSet(),
0316 plots = cms.VPSet(
0317 Count1D('_size', 4, -0.5, 3.5, 'Final state radiation photons emitted by muons'),
0318 Plot1D('dROverEt2', 'dROverEt2', 20, 0, 0.05, 'deltaR to associated muon divided by photon et2'),
0319 Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
0320 NoPlot('muonIdx'),
0321 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0322 Plot1D('pt', 'pt', 20, 0, 40, 'pt'),
0323 Plot1D('relIso03', 'relIso03', 20, 0, 2, 'relative isolation in a 0.3 cone without CHS'),
0324 )
0325 ),
0326 GenDressedLepton = cms.PSet(
0327 sels = cms.PSet(),
0328 plots = cms.VPSet(
0329 Count1D('_size', 25, -0.5, 24.5, 'Dressed leptons from Rivet-based ParticleLevelProducer'),
0330 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0331 Plot1D('hasTauAnc', 'hasTauAnc', 2, -0.5, 1.5, 'true if Dressed lepton has a tau as ancestor'),
0332 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0333 Plot1D('pdgId', 'pdgId', 40, -20, 20, 'pdgId'),
0334 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0335 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0336 )
0337 ),
0338 GenIsolatedPhoton = cms.PSet(
0339 sels = cms.PSet(),
0340 plots = cms.VPSet(
0341 Count1D('_size', 10, -0.5, 9.5, 'Isolated photons from Rivet-based ParticleLevelProducer'),
0342 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0343 NoPlot('mass'),
0344 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0345 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0346 )
0347 ),
0348 GenJet = cms.PSet(
0349 sels = cms.PSet(),
0350 plots = cms.VPSet(
0351 Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJets, i.e. ak4 Jets made with visible genparticles'),
0352 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0353 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0354 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0355 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0356 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0357 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0358 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0359 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0360 )
0361 ),
0362 GenJetAK8 = cms.PSet(
0363 sels = cms.PSet(),
0364 plots = cms.VPSet(
0365 Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJetAK8, i.e. ak8 Jets made with visible genparticles'),
0366 Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
0367 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0368 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0369 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0370 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0371 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0372 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0373 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0374 )
0375 ),
0376 GenMET = cms.PSet(
0377 sels = cms.PSet(),
0378 plots = cms.VPSet(
0379 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0380 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0381 )
0382 ),
0383 GenPart = cms.PSet(
0384 sels = cms.PSet(),
0385 plots = cms.VPSet(
0386 Count1D('_size', 40, -0.5, 124.5, 'interesting gen particles '),
0387 Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
0388 NoPlot('genPartIdxMother'),
0389 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'),
0390 Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
0391 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0392 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0393 Plot1D('iso', 'iso', 20, 0, 200, 'iso'),
0394 Plot1D('status', 'status', 20, 0, 100, 'Particle status. 1=stable'),
0395 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),
0396 )
0397 ),
0398 GenVtx = cms.PSet(
0399 sels = cms.PSet(),
0400 plots = cms.VPSet(
0401 Plot1D('x', 'x', 50, -0.5, 0.5, 'Gen vertex x position'),
0402 Plot1D('y', 'y', 50, -0.5, 0.5, 'Gen vertex y position'),
0403 Plot1D('z', 'z', 30, -15, 15, 'Gen vertex z position'),
0404 Plot1D('t0', 't0', 20, -1, 1, 'Gen vertex time (t0)'),
0405 )
0406 ),
0407 GenVisTau = cms.PSet(
0408 sels = cms.PSet(),
0409 plots = cms.VPSet(
0410 Count1D('_size', 4, -0.5, 3.5, 'gen hadronic taus '),
0411 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'charge'),
0412 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0413 NoPlot('genPartIdxMother'),
0414 Plot1D('mass', 'mass', 20, 0, 2, 'mass'),
0415 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0416 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0417 Plot1D('status', 'status', 16, -0.5, 15.5, 'Hadronic tau decay mode. 0=OneProng0PiZero, 1=OneProng1PiZero, 2=OneProng2PiZero, 10=ThreeProng0PiZero, 11=ThreeProng1PiZero, 15=Other'),
0418 )
0419 ),
0420 IsoTrack = cms.PSet(
0421 sels = cms.PSet(),
0422 plots = cms.VPSet(
0423 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'),
0424 Plot1D('dxy', 'dxy', 20, -0.02, 0.02, 'dxy (with sign) wrt first PV, in cm'),
0425 Plot1D('dz', 'dz', 20, -0.09, 0.09, 'dz (with sign) wrt first PV, in cm'),
0426 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0427 Plot1D('fromPV', 'fromPV', 5, -1.5, 3.5, 'provenance from primary vertex'),
0428 Plot1D('isFromLostTrack', 'isFromLostTrack', 2, -0.5, 1.5, 'if isolated track comes from a lost track'),
0429 Plot1D('isHighPurityTrack', 'isHighPurityTrack', 2, -0.5, 1.5, 'track is high purity'),
0430 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'if isolated track is a PF candidate'),
0431 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 2, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0432 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 2, 'mini PF relative isolation, charged component'),
0433 Plot1D('pdgId', 'pdgId', 20, -300, 300, 'PDG id of PF cand'),
0434 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
0435 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0436 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0437 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0438 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge')
0439 )
0440 ),
0441 Jet = cms.PSet(
0442 sels = cms.PSet(
0443 CentralPt30 = cms.string('abs(eta) < 2.4 && pt > 30'),
0444 ForwardPt30 = cms.string('abs(eta) > 2.4 && pt > 30')
0445 ),
0446 plots = cms.VPSet(
0447 Count1D('_size', 20, -0.5, 19.5, 'slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (pt > 15)'),
0448 Plot1D('area', 'area', 20, 0.2, 0.8, 'jet catchment area, for JECs'),
0449 Plot1D('bRegCorr', 'bRegCorr', 20, 0, 3, 'pt correction for b-jet energy regression'),
0450 Plot1D('bRegRes', 'bRegRes', 20, 0, 0.6, 'res on pt corrected with b-jet regression'),
0451 Plot1D('btagDeepFlavB', 'btagDeepFlavB', 20, 0, 1, 'DeepFlavour b+bb tag discriminator'),
0452 Plot1D('btagDeepFlavC', 'btagDeepFlavC', 20, 0, 1, 'DeepFlavour charm tag discriminator'),
0453 Plot1D('btagDeepFlavCvB', 'btagDeepFlavCvB', 20, -1, 1, 'DeepJet c vs b+bb+lepb discriminator'),
0454 Plot1D('btagDeepFlavCvL', 'btagDeepFlavCvL', 20, -1, 1, 'DeepJet c vs uds+g discriminator'),
0455 Plot1D('btagDeepFlavQG', 'btagDeepFlavQG', 20, -1, 1, 'DeepJet g vs uds discriminator'),
0456 Plot1D('btagUParTAK4B', 'btagUParTAK4B', 20, 0, 1, 'UnifiedParT b vs. udscg discriminator'),
0457 Plot1D('btagUParTAK4CvB', 'btagUParTAK4CvB', 20, -1, 1, 'UnifiedParT c vs. b discriminator'),
0458 Plot1D('btagUParTAK4CvL', 'btagUParTAK4CvL', 20, -1, 1, 'UnifiedParT c vs. udsg discriminator'),
0459 Plot1D('btagUParTAK4SvCB', 'btagUParTAK4SvCB', 20, -1, 1, 'UnifiedParT s vs. bc discriminator'),
0460 Plot1D('btagUParTAK4SvUDG', 'btagUParTAK4SvUDG', 20, -1, 1, 'UnifiedParT s vs. udg discriminator'),
0461 Plot1D('btagUParTAK4UDG', 'btagUParTAK4UDG', 30, 0, 3, 'UnifiedParT u+d+g raw score'),
0462 Plot1D('btagUParTAK4QG', 'btagUParTAK4QG', 20, -1, 1, 'UnifiedParT q (uds) vs. g discriminator'),
0463 Plot1D('btagUParTAK4TauVJet', 'btagUParTAK4TauVJet', 20, -1, 1, 'UnifiedParT tau vs. jet discriminator'),
0464 Plot1D('btagUParTAK4CvNotB', 'btagUParTAK4CvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
0465 Plot1D('btagUParTAK4Ele', 'btagUParTAK4Ele', 20, -1, 1, 'UnifiedParT electron raw score'),
0466 Plot1D('btagUParTAK4Mu', 'btagUParTAK4Mu', 20, -1, 1, 'UnifiedParT muon raw score'),
0467 Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
0468 Plot1D('cRegRes', 'cRegRes', 20, 0.05, 0.4, 'res on pt corrected with c-jet regression'),
0469 Plot1D('btagPNetB', 'btagPNetB', 20, 0, 1, 'ParticleNet b tag discriminator'),
0470 Plot1D('btagPNetCvL', 'btagPNetCvL', 20, 0, 1, 'ParticleNet c vs. light (udsg) discriminator'),
0471 Plot1D('btagPNetCvB', 'btagPNetCvB', 20, 0, 1, 'ParticleNet c vs. b discriminator'),
0472 Plot1D('btagPNetCvNotB', 'btagPNetCvNotB', 20, 0, 1, 'ParticleNet C vs notB discriminator'),
0473 Plot1D('btagPNetQvG', 'btagPNetQvG', 20, 0, 1, 'ParticleNet quark (udsbc) vs. gluon discriminator'),
0474 Plot1D('btagPNetTauVJet', 'btagPNetTauVJet', 20, 0, 1, 'ParticleNet tau vs. jet discriminator'),
0475 Plot1D('PNetRegPtRawCorr', 'PNetRegPtRawCorr', 20, 0, 2, 'ParticleNet visible pT regression, correction relative to raw pT'),
0476 Plot1D('PNetRegPtRawCorrNeutrino', 'PNetRegPtRawCorrNeutrino', 20, 0, 2, 'ParticleNet neutrino pT correction, relative to regressed visible pT'),
0477 Plot1D('PNetRegPtRawRes', 'PNetRegPtRawRes', 20, 0, 0.5, 'ParticleNet per-jet resolution estimator: (q84 - q16)/2'),
0478 Plot1D('puIdDisc', 'puIdDisc', 20, -1., 1., 'Pileup ID BDT discriminant with 133X Winter24 PuppiV18 training'),
0479 Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
0480 Plot1D('chFPV0EF', 'chFPV0EF', 20, 0, 2, 'charged fromPV==0 Energy Fraction (energy excluded from CHS jets). Previously called betastar.'),
0481 Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
0482 NoPlot('electronIdx1'),
0483 NoPlot('electronIdx2'),
0484 Plot1D('eta', 'eta', 20, -6, 6, 'eta'),
0485 NoPlot('genJetIdx'),
0486 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0487 Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
0488 Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
0489 NoPlot('muonIdx1'),
0490 NoPlot('muonIdx2'),
0491 Plot1D('muonSubtrFactor', 'muonSubtrFactor', 20, 0, 1, '1-(muon-subtracted raw pt)/(raw pt)'),
0492 Plot1D('muonSubtrDeltaEta', 'muonSubtrDeltaEta', 40, -0.4, 0.4, 'muon-subtracted raw eta - eta'),
0493 Plot1D('muonSubtrDeltaPhi', 'muonSubtrDeltaPhi', 40, -0.4, 0.4, 'muon-subtracted raw phi - phi'),
0494 Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
0495 Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
0496 Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
0497 Plot1D('nElectrons', 'nElectrons', 5, -0.5, 4.5, 'number of electrons in the jet'),
0498 Plot1D('nMuons', 'nMuons', 4, -0.5, 3.5, 'number of muons in the jet'),
0499 Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
0500 Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
0501 Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
0502 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0503 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0504 Plot1D('puId', 'puId', 8, -0.5, 7.5, 'Pilup ID flags'),
0505 Plot1D('puIdDisc', 'puIdDisc', 20, -1, 1, 'Pilup ID discriminant with 102X (2018) training'),
0506 Plot1D('qgl', 'qgl', 20, 0, 1, 'Quark vs Gluon likelihood discriminator'),
0507 Plot1D('hfHEF', 'hfHEF', 20, 0, 1, 'hadronic Energy Fraction in HF'),
0508 Plot1D('hfEmEF', 'hfEmEF', 20, 0, 1, 'electromagnetic Energy Fraction in HF'),
0509 Plot1D('hfsigmaEtaEta', 'hfsigmaEtaEta', 20, 0, 0.2, 'sigmaEtaEta for HF jets (noise discriminating variable)'),
0510 Plot1D('hfsigmaPhiPhi', 'hfsigmaPhiPhi', 20, 0, 0.2, 'sigmaPhiPhi for HF jets (noise discriminating variable)'),
0511 Plot1D('hfcentralEtaStripSize', 'hfcentralEtaStripSize', 10, 0, 10, 'eta size of the central tower strip in HF (noise discriminating variable)'),
0512 Plot1D('hfadjacentEtaStripsSize', 'hfadjacentEtaStripsSize', 10, 0, 10, 'eta size of the strips next to the central tower strip in HF (noise discriminating variable)'),
0513 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0514 )
0515 ),
0516 LHEPart = cms.PSet(
0517 sels = cms.PSet(),
0518 plots = cms.VPSet(
0519 Count1D('_size', 20, 0, 20, 'LHE particles'),
0520 Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
0521 Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
0522 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0523 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0524 )
0525 ),
0526 LHEPdfWeight = cms.PSet(
0527 sels = cms.PSet(),
0528 plots = cms.VPSet(
0529 Count1D('_size', 1000, 0, 2000, 'LHE PDF weights'),
0530 Plot1D('', '', 100, 0, 2, 'all weights'),
0531 )
0532 ),
0533 LHEScaleWeight = cms.PSet(
0534 sels = cms.PSet(),
0535 plots = cms.VPSet(
0536 Count1D('_size', 20, 0, 20, 'LHE scale weights'),
0537 Plot1D('', '', 100, 0, 2, 'all weights'),
0538 )
0539 ),
0540 PFMET = cms.PSet(
0541 sels = cms.PSet(),
0542 plots = cms.VPSet(
0543 Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
0544 Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
0545 Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
0546 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0547 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0548 Plot1D('significance', 'significance', 20, 0, 200, 'MET significance'),
0549 Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
0550 Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for MET significance'),
0551
0552 Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
0553 Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
0554 Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
0555 Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
0556
0557 )
0558 ),
0559
0560 FiducialMET = cms.PSet(
0561 sels = cms.PSet(),
0562 plots = cms.VPSet(
0563 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0564 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0565 )
0566 ),
0567
0568 Muon = cms.PSet(
0569 sels = cms.PSet(
0570 Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && mediumId && miniPFRelIso_all < 0.4')
0571 ),
0572 plots = cms.VPSet(
0573 Count1D('_size', 5, -0.5, 4.5, 'slimmedMuons after basic selection (pt > 3 && track.isNonnull && isLooseMuon)'),
0574 Plot1D('bsConstrainedPt', '', 20, 0., 200., 'pt with beamspot constraint'),
0575 Plot1D('bsConstrainedPtErr', '', 20, 0., 20., 'pt error w. beamspot constraint'),
0576 Plot1D('bsConstrainedChi2', '', 20, 0., 40., 'chi2 of beamspot constraint'),
0577 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0578 Plot1D('tuneP_charge', 'tuneP_charge', 3, -1.5, 1.5, 'charge from the tuneP algorithm'),
0579 Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
0580 Plot1D('dxyErr', 'dxyErr', 20, 0, 0.1, 'dxy uncertainty, in cm'),
0581 Plot1D('dxybs', 'dxybs', 20, -0.1, 0.1, 'dxy (with sign) wrt the beam spot, in cm'),
0582 Plot1D('dxybsErr', 'dxybsErr', 20, 0, 0.1, 'uncertainty on dxy (with sign) wrt the beam spot, in cm'),
0583 Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
0584 Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
0585 Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
0586 NoPlot('fsrPhotonIdx'),
0587 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'),
0588 NoPlot('genPartIdx'),
0589 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)'),
0590 Plot1D('highPurity', 'highPurity', 2, -0.5, 1.5, 'inner track is high purity'),
0591 Plot1D('inTimeMuon', 'inTimeMuon', 2, -0.5, 1.5, 'inTimeMuon ID'),
0592 Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
0593 Plot1D('isGlobal', 'isGlobal', 2, -0.5, 1.5, 'muon is global muon'),
0594 Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'muon is PF candidate'),
0595 Plot1D('isTracker', 'isTracker', 2, -0.5, 1.5, 'muon is tracker muon'),
0596 Plot1D('isStandalone', 'isStandalone', 2, -0.5, 1.5, 'muon is a standalone muon'),
0597 NoPlot('jetIdx'),
0598 Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 30, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
0599 Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1), -1 if none'),
0600 Plot1D('jetDF', 'jetDF', 20, 0., 1., 'value of the DEEPJET b tagging algorithm discriminator of the associated jet (0 if none)'),
0601 Plot1D('looseId', 'looseId', 2, -0.5, 1.5, 'muon is loose muon'),
0602 NoPlot('mass'),
0603 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)'),
0604 Plot1D('mediumPromptId', 'mediumPromptId', 2, -0.5, 1.5, 'cut-based ID, medium prompt WP'),
0605 Plot1D('miniIsoId', 'miniIsoId', 5, -0.5, 4.5, 'MiniIso ID from miniAOD selector (1=MiniIsoLoose, 2=MiniIsoMedium, 3=MiniIsoTight, 4=MiniIsoVeryTight)'),
0606 Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
0607 Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
0608 Plot1D('multiIsoId', 'multiIsoId', 3, -0.5, 2.5, 'MultiIsoId from miniAOD selector (1=MultiIsoLoose, 2=MultiIsoMedium)'),
0609 Plot1D('mvaLowPt', 'mvaLowPt', 20, -1, 1, 'Low pt muon ID score'),
0610 Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
0611 Plot1D('mvaMuID', 'mvaMuID', 20, 0, 1, 'Score of MVA-based muon ID'),
0612 Plot1D('mvaMuID_WP', 'mvaMuID_WP', 3, -0.5, 2.5, 'MVA-based ID selector WPs (1=MVAIDwpMedium,2=MVAIDwpTight)'),
0613 Plot1D('nStations', 'nStations', 5, -0.5, 4.5, 'number of matched stations with default arbitration (segment & track)'),
0614 Plot1D('nTrackerLayers', 'nTrackerLayers', 15, 2.5, 17.5, 'number of layers in the tracker'),
0615 Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
0616 Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0617 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)'),
0618 Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
0619 Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
0620 Plot1D('pfRelIso04_all', 'pfRelIso04_all', 20, 0, 2, 'PF relative isolation dR=0.4, total (deltaBeta corrections)'),
0621 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0622 Plot1D('pnScore_heavy', 'pnScore_heavy', 40, -1, 1, 'PNet muon ID score for lepton from B or D hadrons'),
0623 Plot1D('pnScore_light', 'pnScore_light', 40, -1, 1, 'PNet muon ID score for lepton from hadrons w/o b or c quarks OR w/o generator matching'),
0624 Plot1D('pnScore_prompt', 'pnScore_prompt', 40, -1, 1, 'PNet muon ID score for lepton from W/Z/H bosons'),
0625 Plot1D('pnScore_tau', 'pnScore_tau', 40, -1, 1, 'PNet muon ID score for decay of tau to light leptons (mu)'),
0626 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0627 Plot1D('ptErr', 'ptErr', 20, 0, 20, 'ptError of the muon track'),
0628 Plot1D('segmentComp', 'segmentComp', 20, 0, 1, 'muon segment compatibility'),
0629 Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV'),
0630 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)'),
0631 Plot1D('softMva', 'softMva', 20, -1, 1, 'soft MVA ID score'),
0632 Plot1D('softMvaRun3', 'softMvaRun3', 20, 0, 1, 'soft MVA ID score for Run3'),
0633 Plot1D('softMvaId', 'softMvaId', 2, -0.5, 1.5, 'soft MVA ID'),
0634 Plot1D('tightCharge', 'tightCharge', 1, 1.5, 2.5, 'Tight charge criterion using pterr/pt of muonBestTrack (0:fail, 2:pass)'),
0635 Profile1D('tightId', 'tightId', 'pt', 16, 0, 80, 'POG Tight muon ID'),
0636 Plot1D('tkIsoId', 'tkIsoId', 3, -0.5, 2.5, 'TkIso ID (1=TkIsoLoose, 2=TkIsoTight)'),
0637 Plot1D('tkRelIso', 'tkRelIso', 100, 0, 1, 'Tracker-based relative isolation dR=0.3 for highPt, trkIso/tunePpt'),
0638 Plot1D('triggerIdLoose', 'triggerIdLoose', 2, -0.5, 1.5, 'TriggerIdLoose ID'),
0639 Plot1D('tunepRelPt', 'tunepRelPt', 200, 0, 200, 'TuneP relative pt, tunePpt/pt'),
0640 Plot1D('tuneP_pterr', 'tuneP_pterr', 200, 0, 20, 'pTerr from tunePMuonBestTrack'),
0641 Plot1D('VXBS_Cov00', 'VXBS_Cov00', 200, -10, 10, '0, 0 element of the VXBS Covariance matrix'),
0642 Plot1D('VXBS_Cov03', 'VXBS_Cov03', 200, -10, 10, '0, 3 element of the VXBS Covariance matrix'),
0643 Plot1D('VXBS_Cov33', 'VXBS_Cov33', 200, -10, 10, '3, 3 element of the VXBS Covariance matrix'),
0644 )
0645 ),
0646 OtherPV = cms.PSet(
0647 sels = cms.PSet(),
0648 plots = cms.VPSet(
0649 NoPlot('_size'),
0650 Plot1D('z', 'z', 20, -20, 20, 'Z position of other primary vertices, excluding the main PV'),
0651 Plot1D('score', 'score', 20, 0, 300000, 'scores of other primary vertices, excluding the main PV'),
0652 )
0653 ),
0654 PPSLocalTrack = cms.PSet(
0655 sels = cms.PSet(),
0656 plots = cms.VPSet(
0657 Count1D('_size', 26, -0.5, 25.5, 'ppsLocalTrack variables'),
0658 Plot1D('decRPId', 'decRPId', 20, 0, 200, 'local track detector dec id'),
0659 NoPlot('multiRPProtonIdx'),
0660 Plot1D('rpType', 'rpType', 2, 3.5, 5.5, 'strip=3, pixel=4, diamond=5, timing=6'),
0661 Plot1D('time', 'time', 20, -2, 2, 'local track time'),
0662 Plot1D('timeUnc', 'timeUnc', 20, 0, 0.3, 'local track time uncertainty'),
0663 Plot1D('x', 'x', 20, 2, 30, 'local track x'),
0664 Plot1D('y', 'y', 20, -20, 20, 'local track y'),
0665 )
0666 ),
0667 PSWeight = cms.PSet(
0668 sels = cms.PSet(),
0669 plots = cms.VPSet(
0670 Plot1D('', '', 20, 0, 2, 'All PS weights (w_var / w_nominal)'),
0671 Count1D('_size', 46, -0.5, 45.5, 'Number of PS weights'),
0672 )
0673 ),
0674 PV = cms.PSet(
0675 sels = cms.PSet(),
0676 plots = cms.VPSet(
0677 Plot1D('chi2', 'chi2', 20, 0.5, 3, 'main primary vertex reduced chi2'),
0678 Plot1D('ndof', 'ndof', 20, 0, 500, 'main primary vertex number of degree of freedom'),
0679 Plot1D('npvs', 'npvs', 20, 0, 60, 'total number of reconstructed primary vertices'),
0680 Plot1D('npvsGood', 'npvsGood', 20, 0, 60, 'total number of Good primary vertices'),
0681 Plot1D('score', 'score', 20, 0, 300000, 'main primary vertex score, i.e. sum pt2 of clustered objects'),
0682 Plot1D('sumpt2', 'sumpt2', 100, 0, 300000, 'main primary vertex sum pt2 of the charged pf candidates'),
0683 Plot1D('sumpx', 'sumpx', 20, -100, 100, 'main primary vertex sum px of the charged pf candidates'),
0684 Plot1D('sumpy', 'sumpy', 20, -100, 100, 'main primary vertex sum py of the charged pf candidates'),
0685 Plot1D('x', 'x', 20, -0.3, 0.3, 'main primary vertex position x coordinate'),
0686 Plot1D('y', 'y', 20, -0.3, 0.3, 'main primary vertex position y coordinate'),
0687 Plot1D('z', 'z', 20, -20, 20, 'main primary vertex position z coordinate'),
0688 )
0689 ),
0690 Photon = cms.PSet(
0691 sels = cms.PSet(),
0692 plots = cms.VPSet(
0693 Count1D('_size', 9, -0.5, 8.5, 'slimmedPhotons after basic selection (pt > 5 )'),
0694 Plot1D('charge', 'charge', 1, -0.5, 0.5, 'electric charge'),
0695 Plot1D('cutBased', 'cutBased', 4, -0.5, 3.5,'cut-based ID bitmap, (0:fail, 1:loose, 2:medium, 3:tight)'),
0696 Plot1D('cutBased_Fall17V2', 'cutBased_Fall17V2', 4, -0.5, 3.5, 'cut-based ID bitmap, Fall17V2, (0:fail, 1:loose, 2:medium, 3:tight)'),
0697 NoPlot('electronIdx'),
0698 Plot1D('electronVeto', 'electronVeto', 2, -0.5, 1.5, 'pass electron veto'),
0699 Plot1D('energyErr', 'energyErr', 20, 0, 300, 'energy error of the cluster from regression'),
0700 Plot1D('energyRaw', 'energyRaw', 100, 0, 300, 'raw energy of photon supercluster'),
0701 Plot1D('superclusterEta', 'superclusterEta', 20, -3, 3, 'supercluster eta'),
0702 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0703 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'),
0704 NoPlot('genPartIdx'),
0705 Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
0706 Plot1D('hoe_Tower', 'hoe_Tower', 20, 0, 0.6, 'H over E Tower based calculation'),
0707 Plot1D('hoe_PUcorr', 'hoe_PUcorr', 20, 0, 0.6, 'H over E with PU correction'),
0708 Plot1D('isScEtaEB', 'isScEtaEB', 2, -0.5, 1.5, 'is supercluster eta within barrel acceptance'),
0709 Plot1D('isScEtaEE', 'isScEtaEE', 2, -0.5, 1.5, 'is supercluster eta within endcap acceptance'),
0710 NoPlot('jetIdx'),
0711 NoPlot('mass'),
0712 Plot1D('mvaID', 'mvaID', 20, -1, 1, 'MVA ID score'),
0713 Plot1D('mvaID_WP80', 'mvaID_WP80', 2, -0.5, 1.5, 'MVA ID WP80'),
0714 Plot1D('mvaID_WP90', 'mvaID_WP90', 2, -0.5, 1.5, 'MVA ID WP90'),
0715 Plot1D('mvaID_Fall17V2', 'mvaID_Fall17V2', 20, -1, 1, 'Fall17V2 MVA ID score'),
0716 Plot1D('mvaID_Fall17V2_WP80', 'mvaID_WP80_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP80'),
0717 Plot1D('mvaID_Fall17V2_WP90', 'mvaID_WP90_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP90'),
0718 Plot1D('trkSumPtHollowConeDR03', 'trkSumPtHollowConeDR03', 100, 0, 8, 'Sum of track pT in a hollow cone of outer radius, inner radius'),
0719 Plot1D('trkSumPtSolidConeDR04', 'trkSumPtSolidConeDR04', 100, 0, 8, 'Sum of track pT in a cone of dR=0.4'),
0720 Plot1D('ecalPFClusterIso', 'ecalPFClusterIso', 100, 0, 10, 'sum pt of ecal clusters, vetoing clusters part of photon'),
0721 Plot1D('hcalPFClusterIso', 'hcalPFClusterIso', 100, 0, 10, 'sum pt of hcal clusters, vetoing clusters part of photon'),
0722 Plot1D('pfPhoIso03', 'pfPhoIso03', 100, 0, 1, 'PF absolute isolation dR=0.3, photon component (uncorrected)'),
0723 Plot1D('pfChargedIso', 'pfChargedIso', 100, 0, 10, 'PF absolute isolation dR=0.3, charged component with dxy,dz match to PV'),
0724 Plot1D('pfChargedIsoPFPV', 'pfChargedIsoPFPV', 100, 0, 5, 'PF absolute isolation dR=0.3, charged component (PF PV only)'),
0725 Plot1D('pfChargedIsoWorstVtx', 'pfChargedIsoWorstVtx', 100, 0, 10,'PF absolute isolation dR=0.3, charged component (Vertex with largest isolation)'),
0726 Plot1D('pdgId', 'pdgId', 1, 21.5, 22.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0727 Plot1D('pfRelIso03_all_Fall17V2', 'pfRelIso03_all_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU Fall17V2 corrections)'),
0728 Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, charged component (with rho*EA PU Fall17V2 corrections)'),
0729 Plot1D('pfRelIso03_all_quadratic', 'pfRelIso03_all_quadratic', 20, 0, 2, 'PF relative isolation dR=0.3, total (with quadraticEA*rho*rho + linearEA*rho corrections)'),
0730 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)'),
0731 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0732 Plot1D('pixelSeed', 'pixelSeed', 2, -0.5, 1.5, 'has pixel seed'),
0733 Plot1D('hasConversionTracks', 'hasConversionTracks', 2, -0.5, 1.5, 'Variable specifying if photon has associated conversion tracks (one-legged or two-legged)'),
0734 Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
0735 Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
0736 Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
0737 Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
0738 Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
0739 Plot1D('sieie', 'sieie', 100, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
0740 Plot1D('sipip', 'sipip', 100, 0, 0.05, 'sigmaIphiIphi of the supercluster'),
0741 Plot1D('sieip', 'sieip', 100, -0.0002, 0.0002, 'sigma_IetaIphi of the supercluster, calculated with full 5x5 region'),
0742 Plot1D('s4', 's4', 100, 0.4, 1, 'e2x2/e5x5 of the supercluster, calculated with full 5x5 region'),
0743 Plot1D('etaWidth', 'etaWidth', 100, 0, 0.03, 'Width of the photon supercluster in eta'),
0744 Plot1D('phiWidth', 'phiWidth', 100, 0, 0.1, 'Width of the photon supercluster in phi'),
0745 Plot1D('x_calo', 'x_calo', 100, -150, 150, 'photon supercluster position on calorimeter, x coordinate (cm)'),
0746 Plot1D('y_calo', 'y_calo', 100, -150, 150, 'photon supercluster position on calorimeter, y coordinate (cm)'),
0747 Plot1D('z_calo', 'z_calo', 100, -330, 330, 'photon supercluster position on calorimeter, y coordinate (cm)'),
0748 Plot1D('esEffSigmaRR', 'esEffSigmaRR', 100, 0, 10, 'preshower sigmaRR'),
0749 Plot1D('esEnergyOverRawE', 'esEnergyOverRawE', 100, 0, 0.2, 'ratio of preshower energy to raw supercluster energy'),
0750 NoPlot('vidNestedWPBitmap'),
0751 NoPlot('vidNestedWPBitmap_Fall17V2'),
0752 )
0753 ),
0754 Proton_multiRP = cms.PSet(
0755 sels = cms.PSet(),
0756 plots = cms.VPSet(
0757 Count1D('_size', 3, -0.5, 2.5, 'bon'),
0758 Plot1D('arm', 'arm', 2, -0.5, 1.5, '0 = sector45, 1 = sector56'),
0759 Plot1D('t', 't', 20, -500, -0.003, 'Mandelstam variable t'),
0760 Plot1D('thetaX', 'thetaX', 20, -0.0004, 0.0004, 'scattering angle in the y direction'),
0761 Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
0762 Plot1D('time', 'time', 20, -1000, -1000, 'time'),
0763 Plot1D('timeUnc', 'timeUnc', 20, 0, 0, 'time uncertainty'),
0764 Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
0765 )
0766 ),
0767 Proton_singleRP = cms.PSet(
0768 sels = cms.PSet(),
0769 plots = cms.VPSet(
0770 Count1D('_size', 3, -0.5, 2.5, 'bon'),
0771 Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
0772 Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
0773 Plot1D('decRPId', 'decRPId', 20, 0, 200, 'Detector ID'),
0774 )
0775 ),
0776 Pileup = cms.PSet(
0777 sels = cms.PSet(),
0778 plots = cms.VPSet(
0779 Plot1D('gpudensity', 'gpudensity', 20, 0, 0.9, 'Generator-level PU vertices / mm'),
0780 Plot1D('nPU', 'nPU', 20, 0, 60, 'the number of pileup interactions that have been added to the event in the current bunch crossing'),
0781 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'),
0782 Plot1D('pudensity', 'pudensity', 5, -0.5, 4.5, 'PU vertices / mm'),
0783 Plot1D('sumEOOT', 'sumEOOT', 20, 0, 800, 'number of early out of time pileup'),
0784 Plot1D('sumLOOT', 'sumLOOT', 20, 0, 300, 'number of late out of time pileup'),
0785 Plot1D('pthatmax','pthatmax',20, 0, 400, 'Maximum pt-hat'),
0786 )
0787 ),
0788 PuppiMET = cms.PSet(
0789 sels = cms.PSet(),
0790 plots = cms.VPSet(
0791
0792 Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
0793 Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
0794 Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
0795 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0796 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0797 Plot1D('significance', 'significance', 20, 0, 200, 'PuppiMET significance'),
0798 Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
0799 Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for PuppiMET significance'),
0800
0801 Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
0802 Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
0803 Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
0804 Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
0805 )
0806 ),
0807 RawPFMET = cms.PSet(
0808 sels = cms.PSet(),
0809 plots = cms.VPSet(
0810 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0811 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0812 Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
0813 )
0814 ),
0815 RawPuppiMET = cms.PSet(
0816 sels = cms.PSet(),
0817 plots = cms.VPSet(
0818 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0819 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0820 Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
0821 )
0822 ),
0823 SV = cms.PSet(
0824 sels = cms.PSet(),
0825 plots = cms.VPSet(
0826 Count1D('_size', 14, -0.5, 13.5),
0827 Plot1D('chi2', 'chi2', 20, -2000, 2000, 'reduced chi2, i.e. chi/ndof'),
0828 Plot1D('dlen', 'dlen', 20, 0, 4, 'decay length in cm'),
0829 Plot1D('dlenSig', 'dlenSig', 20, 0, 50, 'decay length significance'),
0830 Plot1D('dxy', 'dxy', 20, 0, 4, '2D decay length in cm'),
0831 Plot1D('dxySig', 'dxySig', 20, 0, 50, '2D decay length significance'),
0832 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0833 Plot1D('mass', 'mass', 20, 0, 8, 'mass'),
0834 Plot1D('ndof', 'ndof', 20, -1, 19, 'number of degrees of freedom'),
0835 Plot1D('pAngle', 'pAngle', 20, -3.1416, 3.1416, 'pointing angle, i.e. acos(p_SV * (SV - PV)) '),
0836 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0837 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0838 Plot1D('x', 'x', 20, -0.5, 0.5, 'secondary vertex X position, in cm'),
0839 Plot1D('y', 'y', 20, -0.5, 0.5, 'secondary vertex Y position, in cm'),
0840 Plot1D('z', 'z', 20, -10, 10, 'secondary vertex Z position, in cm'),
0841 Plot1D('ntracks', 'ntracks', 11, -0.5, 10.5, 'number of tracks'),
0842 Plot1D('charge', 'charge', 11 , -0.5, 10.5, 'sum of the charge of the SV tracks'),
0843 )
0844 ),
0845 SoftActivityJet = cms.PSet(
0846 sels = cms.PSet(),
0847 plots = cms.VPSet(
0848 Count1D('_size', 7, -0.5, 6.5, 'jets clustered from charged candidates compatible with primary vertex (charge()!=0 && pvAssociationQuality()>=5 && vertexRef().key()==0)'),
0849 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0850 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0851 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0852 )
0853 ),
0854 SubJet = cms.PSet(
0855 sels = cms.PSet(),
0856 plots = cms.VPSet(
0857 Count1D('_size', 9, -0.5, 8.5, 'slimmedJetsAK8PFPuppiSoftDropPacked::SubJets, i.e. soft-drop subjets for ak8 fat jets for boosted'),
0858 Plot1D('btagDeepFlavB', 'btagDeepFlavB', 20, -1, 1, 'DeepJet b+bb+lepb tag discriminator'),
0859 Plot1D('btagUParTAK4B', 'btagUParTAK4B', 20, -1, 1, 'UnifiedParT b vs. udscg'),
0860 Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
0861 Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
0862 Plot1D('mass', 'mass', 20, -200, 200, 'mass'),
0863 Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
0864 Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
0865 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
0866 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
0867 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0868 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0869 Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
0870 Plot1D('area', 'area', 25, 0, 2.5, 'jet catchment area, for JECs'),
0871 Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
0872 Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
0873 Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
0874 Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
0875 NoPlot('subGenJetAK8Idx'),
0876 )
0877 ),
0878 Tau = cms.PSet(
0879 sels = cms.PSet(),
0880 plots = cms.VPSet(
0881 Count1D('_size', 7, -0.5, 6.5, "slimmedTaus after basic selection (pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT')))"),
0882 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0883 Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
0884 Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
0885 Plot1D('decayModePNet', 'decayModePNet', 13, -1.5, 11.5, 'decay mode of the highest PNet tau score (CHS jets)'),
0886 Plot1D('decayModeUParT', 'decayModeUParT', 13, -1.5, 11.5, 'decay mode of the highest UParT tau score (PUPPI jets)'),
0887 Plot1D('dxy', 'dxy', 20, -1000, 1000, 'd_{xy} of lead track with respect to PV, in cm (with sign)'),
0888 Plot1D('dz', 'dz', 20, -20, 20, 'd_{z} of lead track with respect to PV, in cm (with sign)'),
0889 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0890 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'),
0891 NoPlot('genPartIdx'),
0892 Plot1D('idAntiEleDeadECal', 'idAntiEleDeadECal', 2, -0.5, 1.5, "tauID('againstElectronDeadECAL')"),
0893 Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
0894 Plot1D('idDecayModeOldDMs', 'idDecayModeOldDMs', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
0895 Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
0896 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'),
0897 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'),
0898 Plot1D('idDeepTau2018v2p5VSmu', 'idDeepTau2018v2p5VSmu', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSmu ID working points (deepTau2018v2p5): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
0899 NoPlot('jetIdx'),
0900 Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
0901 Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
0902 Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
0903 Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
0904 Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
0905 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0906 Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
0907 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0908 Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
0909 Plot1D('rawDeepTau2018v2p5VSe', 'rawDeepTau2018v2p5VSe', 20, 0, 1, 'byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)'),
0910 Plot1D('rawDeepTau2018v2p5VSjet', 'rawDeepTau2018v2p5VSjet', 20, 0, 1, 'byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)'),
0911 Plot1D('rawDeepTau2018v2p5VSmu', 'rawDeepTau2018v2p5VSmu', 20, 0, 1, 'byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)'),
0912 Plot1D('rawPNetVSe', 'rawPNetVSe', 20, 0, 1, 'byPNetVSe raw output discriminator (PNet 2023 - CHS Jets)'),
0913 Plot1D('rawPNetVSjet', 'rawPNetVSjet', 20, 0, 1, 'byPNetVSjet raw output discriminator (PNet 2023 - CHS Jets)'),
0914 Plot1D('rawPNetVSmu', 'rawPNetVSmu', 20, 0, 1, 'byPNetVSmu raw output discriminator (PNet 2023 - CHS Jets)'),
0915 Plot1D('rawUParTVSe', 'rawUParTVSe', 20, 0, 1, 'byUParTVSe raw output discriminator (UParT 2024 - PUPPI Jets)'),
0916 Plot1D('rawUParTVSjet', 'rawUParTVSjet', 20, 0, 1, 'byUParTVSjet raw output discriminator (UParT 2024 - PUPPI Jets)'),
0917 Plot1D('rawUParTVSmu', 'rawUParTVSmu', 20, 0, 1, 'byUParTVSmu raw output discriminator (UParT 2024 - PUPPI Jets)'),
0918 Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
0919 Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
0920 Plot1D('ptCorrPNet', 'ptCorrPNet', 20, 0, 2, 'pt correction (PNet 2023 - CHS Jets)'),
0921 Plot1D('qConfPNet', 'qConfPNet', 20, -0.5, 0.5, 'signed charge confidence (PNet 2023 - CHS Jets)'),
0922 Plot1D('probDM0PNet', 'probDM0PNet', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (PNet 2023 - CHS Jets)'),
0923 Plot1D('probDM1PNet', 'probDM1PNet', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (PNet 2023 - CHS Jets)'),
0924 Plot1D('probDM2PNet', 'probDM2PNet', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (PNet 2023 - CHS Jets)'),
0925 Plot1D('probDM10PNet', 'probDM10PNet', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (PNet 2023 - CHS Jets)'),
0926 Plot1D('probDM11PNet', 'probDM11PNet', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (PNet 2023 - CHS Jets)'),
0927 Plot1D('ptCorrUParT', 'ptCorrUParT', 20, 0, 2, 'pt correction (UParT 2024 - PUPPI Jets)'),
0928 Plot1D('qConfUParT', 'qConfUUParT', 20, -0.5, 0.5, 'signed charge confidence (UParT 2024 - PUPPI Jets)'),
0929 Plot1D('probDM0UParT', 'probDM0UParT', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (UParT 2024 - PUPPI Jets)'),
0930 Plot1D('probDM1UParT', 'probDM1UParT', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (UParT 2024 - PUPPI Jets)'),
0931 Plot1D('probDM2UParT', 'probDM2UParT', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (UParT 2024 - PUPPI Jets)'),
0932 Plot1D('probDM10UParT', 'probDM10UParT', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (UParT 2024 - PUPPI Jets)'),
0933 Plot1D('probDM11UParT', 'probDM11UParT', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (UParT 2024 - PUPPI Jets)'),
0934 )
0935 ),
0936 TauProd = cms.PSet(
0937 sels = cms.PSet(),
0938 plots = cms.VPSet(
0939 Count1D('_size', 40, -0.5, 5.5, 'tau decay products'),
0940 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
0941 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0942 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0943 Plot1D('pdgId', 'pdgId', 200, -10250, 10250, 'PDG code assigned by the event reconstruction (not by MC truth)'),
0944 NoPlot('status'),
0945 )
0946 ),
0947 TrkMET = cms.PSet(
0948 sels = cms.PSet(),
0949 plots = cms.VPSet(
0950 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0951 Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
0952 Plot1D('sumEt', 'sumEt', 20, 0, 2000, 'scalar sum of Et'),
0953 )
0954 ),
0955 TrigObj = cms.PSet(
0956 sels = cms.PSet(
0957 Electron = cms.string('id == 11'),
0958 HT = cms.string('id == 3'),
0959 Jet = cms.string('id == 1'),
0960 MET = cms.string('id == 2'),
0961 MHT = cms.string('id == 4'),
0962 Muon = cms.string('id == 13'),
0963 Photon = cms.string('id == 22'),
0964 Tau = cms.string('id == 15')
0965 ),
0966 plots = cms.VPSet(
0967 Count1D('_size', 28, -0.5, 27.5),
0968 Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
0969 Plot1D('filterBits', 'filterBits', 31, 0, 31, 'extra bits of associated information, object- and era-dependent: see branch documentation', bitset=True),
0970 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'),
0971 Plot1D('l1charge', 'l1charge', 3, -1.5, 1.5, 'charge of associated L1 seed'),
0972 Plot1D('l1iso', 'l1iso', 4, -0.5, 3.5, 'iso of associated L1 seed'),
0973 Plot1D('l1pt', 'l1pt', 20, 0, 200, 'pt of associated L1 seed'),
0974 Plot1D('l1pt_2', 'l1pt_2', 20, 0, 200, 'pt of associated secondary L1 seed'),
0975 Plot1D('l2pt', 'l2pt', 20, 0, 200, "pt of associated 'L2' seed (i.e. HLT before tracking/PF)"),
0976 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
0977 Plot1D('pt', 'pt', 40, 0, 400, 'pt'),
0978 )
0979 ),
0980 boostedTau = cms.PSet(
0981 sels = cms.PSet(),
0982 plots = cms.VPSet(
0983 Count1D('_size', 7, -0.5, 6.5, "slimmedBoostedTaus after basic selection (pt > 40 && tauID('decayModeFindingNewDMs') && (tauID('byVVLooseIsolationMVArun2017v2DBoldDMwLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBoldDMdR0p3wLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBnewDMwLT2017')))"),
0984 Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
0985 Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
0986 Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
0987 Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
0988 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'),
0989 NoPlot('genPartIdx'),
0990 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'),
0991 Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
0992 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'),
0993 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'),
0994 NoPlot('jetIdx'),
0995 Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
0996 Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
0997 Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
0998 Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
0999 Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
1000 Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
1001 Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
1002 Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
1003 Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
1004 Plot1D('rawAntiEle2018', 'rawAntiEle2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator (2018)'),
1005 Plot1D('rawAntiEleCat2018', 'rawAntiEleCat2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 category (2018)'),
1006 Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
1007 Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
1008 Plot1D('rawMVAnewDM2017v2', 'rawMVAnewDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBnewDMwLT raw output discriminator (2017v2)'),
1009 Plot1D('rawMVAoldDM2017v2', 'rawMVAoldDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBoldDMwLT raw output discriminator (2017v2)'),
1010 Plot1D('rawBoostedDeepTauRunIIv2p0VSe', 'rawBoostedDeepTauRunIIv2p0VSe', 20, 0, 1, 'BoostedDeepTau(v2p0) tagger for boostedTaus raw scores Vs e'),
1011 Plot1D('rawBoostedDeepTauRunIIv2p0VSjet', 'rawBoostedDeepTauRunIIv2p0VSjet', 20, 0, 1, 'BoostedDeepTau(v2p0) tagger for boostedTaus raw scores Vs jet'),
1012 Plot1D('rawBoostedDeepTauRunIIv2p0VSmu', 'rawBoostedDeepTauRunIIv2p0VSmu', 20, 0, 1, 'BoostedDeepTau(v2p0) tagger for boostedTaus raw scores Vs mu'),
1013 )
1014 ),
1015 L1PreFiringWeight = cms.PSet(
1016 sels = cms.PSet(),
1017 plots = cms.VPSet(
1018 Plot1D('Nom', 'Nom', 21, 0.8, 1.01, 'L1 prefiring weight nominal'),
1019 Plot1D('Up', 'Up', 21, 0.8, 1.01, 'L1 prefiring weight uncertainy up'),
1020 Plot1D('Dn', 'Dn', 21, 0.8, 1.01, 'L1 prefiring weight uncertainty down'),
1021 Plot1D('ECAL_Nom', 'ECAL_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for ECAL objects nominal'),
1022 Plot1D('Muon_Nom', 'Muon_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for muons nominal'),
1023 )
1024
1025 ),
1026 BeamSpot = cms.PSet(
1027 sels = cms.PSet(),
1028 plots = cms.VPSet(
1029 Plot1D('z', 'z', 20, 0.5, 1.5, 'BeamSpot center, z coordinate (cm)'),
1030 Plot1D('zError', 'zError', 20, 0., 0.01, 'Error on BeamSpot center, z coordinate (cm)'),
1031 Plot1D('sigmaZ', 'sigmaZ', 20, 0., 10, 'Width of BeamSpot in z (cm)'),
1032 Plot1D('sigmaZError', 'sigmaZError', 20, 0., 0.01, 'Error on width of BeamSpot in z (cm)'),
1033 )
1034 ),
1035 Rho = cms.PSet(
1036 sels = cms.PSet(),
1037 plots = cms.VPSet(
1038 Plot1D('fixedGridRhoAll', 'fixedGridRhoAll', 100, 0, 80, 'rho from all PF Candidates, no foreground removal (for isolation of prompt photons)'),
1039 )
1040 ),
1041 )
1042 )
1043