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nanoDQM_cfi.py
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1 # automatically generated by prepareDQM.py
2 import FWCore.ParameterSet.Config as cms
3 from PhysicsTools.NanoAOD.nanoDQM_tools_cff import *
4 
5 from DQMServices.Core.DQMEDAnalyzer import DQMEDAnalyzer
6 nanoDQM = DQMEDAnalyzer("NanoAODDQM",
7  vplots = cms.PSet(
8  CaloMET = cms.PSet(
9  sels = cms.PSet(),
10  plots = cms.VPSet(
11  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
12  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
13  Plot1D('sumEt', 'sumEt', 20, 200, 3000, 'scalar sum of Et'),
14  )
15  ),
16  CorrT1METJet = cms.PSet(
17  sels = cms.PSet(),
18  plots = cms.VPSet(
19  Count1D('_size', 20, -0.5, 19.5, 'Additional low-pt jets for Type-1 MET re-correction'),
20  Plot1D('area', 'area', 20, 0.2, 0.8, 'jet catchment area, for JECs'),
21  Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
22  Plot1D('muonSubtrFactor', 'muonSubtrFactor', 20, 0, 1, '1-(muon-subtracted raw pt)/(raw pt)'),
23  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
24  Plot1D('rawPt', 'rawPt', 20, 5, 25, "pt()*jecFactor('Uncorrected')"),
25  Plot1D('EmEF', 'EmEF', 20, 0., 1., "charged+neutral Electromagnetic Energy Fraction"),
26  )
27  ),
28  DeepMETResolutionTune = cms.PSet(
29  sels = cms.PSet(),
30  plots = cms.VPSet(
31  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Resolution Tune phi'),
32  Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
33  )
34  ),
35  DeepMETResponseTune = cms.PSet(
36  sels = cms.PSet(),
37  plots = cms.VPSet(
38  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'Deep MET Response Tune phi'),
39  Plot1D('pt', 'pt', 20, 0, 400, 'Deep MET Response Tune pt'),
40  )
41  ),
42  Electron = cms.PSet(
43  sels = cms.PSet(
44  Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && cutBased >= 3 && miniPFRelIso_all < 0.4')
45  ),
46  plots = cms.VPSet(
47  Count1D('_size', 8, -0.5, 7.5, 'slimmedElectrons after basic selection (pt > 5 )'),
48  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
49  Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
50  Plot1D('cutBased', 'cutBased', 5, -0.5, 4.5, 'cut-based ID (0:fail, 1:veto, 2:loose, 3:medium, 4:tight)'),
51  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)'),
52  Plot1D('cutBased_HEEP', 'cutBased_HEEP', 2, -0.5, 1.5, 'cut-based HEEP ID'),
53  Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
54  Plot1D('dr03EcalRecHitSumEt', 'dr03EcalRecHitSumEt', 20, 0, 30, 'Non-PF Ecal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
55  Plot1D('dr03HcalDepth1TowerSumEt', 'dr03HcalDepth1TowerSumEt', 20, 0, 20, 'Non-PF Hcal isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
56  Plot1D('dr03TkSumPt', 'dr03TkSumPt', 20, 0, 40, 'Non-PF track isolation within a delta R cone of 0.3 with electron pt > 35 GeV'),
57  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'),
58  Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
59  Plot1D('dxyErr', 'dxyErr', 20, 0, 0.2, 'dxy uncertainty, in cm'),
60  Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
61  Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
62  Plot1D('fbrem', 'fbrem', 20, -5.0, 5.0, 'Fraction of brem'),
63  Plot1D('rawEnergy', 'rawEnergy', 100, 0, 1000.0, 'raw energy of Supercluster'),
64  Plot1D('PreshowerEnergy', 'PreshowerEnergy', 20, 0, 100.0, 'energy deposited in the preshower'),
65  Plot1D('ecalEnergy', 'ecalEnergy', 100, 0, 1000.0, 'energy after ECAL-only regression applied'),
66  Plot1D('ecalEnergyError', 'ecalEnergyError', 20, 0, 100.0, 'ecalEnergy error'),
67  Plot1D('gsfTrkpMode', 'gsfTrkpMode', 100, 0, 1000000.0, 'GSF track pMode'),
68  Plot1D('gsfTrkpModeErr', 'gsfTrkpModeErr', 100, 0, 1000000.0, 'GSF track pMode error'),
69  Plot1D('gsfTrketaMode', 'gsfTrketaMode', 20, -3.5, 3.5, 'GSF track eta Mode'),
70  Plot1D('gsfTrkphiMode', 'gsfTrkphiMode', 20, -4, 4, 'GSF track phi Mode'),
71  Plot1D('isEcalDriven', 'isEcalDriven', 2, -0.5, 1.5, 'is ECAL driven if true'),
72  Plot1D('isEB', 'isEB', 2, -0.5, 1.5, 'object in barrel if true derived from the seedCrystal and detID information'),
73  Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
74  Plot1D('energyErr', 'energyErr', 20, 0, 90, 'energy error of the cluster-track combination'),
75  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
76  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'),
77  NoPlot('genPartIdx'),
78  Plot1D('hoe', 'hoe', 20, 0, 1, 'H over E'),
79  Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
80  Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'electron is PF candidate'),
81  NoPlot('jetIdx'),
82  Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 60, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
83  Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
84  Plot1D('jetRelIso_Fall17V2', 'jetRelIso_Fall17V2', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
85  Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
86  Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
87  NoPlot('mass'),
88  Plot1D('mvaIso_Fall17V2', 'mvaIso_Fall17V2', 20, -1, 1, 'MVA Iso ID score, Fall17V2'),
89  Plot1D('mvaIso_Fall17V2_WP80', 'mvaIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Fall17V2'),
90  Plot1D('mvaIso_Fall17V2_WP90', 'mvaIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Fall17V2'),
91  Plot1D('mvaIso_Fall17V2_WPL', 'mvaIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA Iso ID loose WP, Fall17V2'),
92  Plot1D('mvaIso', 'mvaIso', 20, -1, 1, 'MVA Iso ID score, Winter22V1'),
93  Plot1D('mvaIso_WP80', 'mvaIso_WP80', 2, -0.5, 1.5, 'MVA Iso ID WP80, Winter22V1'),
94  Plot1D('mvaIso_WP90', 'mvaIso_WP90', 2, -0.5, 1.5, 'MVA Iso ID WP90, Winter22V1'),
95  Plot1D('mvaNoIso', 'mvaNoIso', 20, -1, 1, 'MVA noIso ID score, Winter22V1'),
96  Plot1D('mvaNoIso_WP80', 'mvaNoIso_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Winter22V1'),
97  Plot1D('mvaNoIso_WP90', 'mvaNoIso_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Winter22V1'),
98  Plot1D('mvaNoIso_Fall17V2', 'mvaNoIso_Fall17V2', 20, -1, 1, 'MVA noIso ID score, Fall17V2'),
99  Plot1D('mvaNoIso_Fall17V2_WP80', 'mvaNoIso_Fall17V2_WP80', 2, -0.5, 1.5, 'MVA noIso ID WP80, Fall17V2'),
100  Plot1D('mvaNoIso_Fall17V2_WP90', 'mvaNoIso_Fall17V2_WP90', 2, -0.5, 1.5, 'MVA noIso ID WP90, Fall17V2'),
101  Plot1D('mvaNoIso_Fall17V2_WPL', 'mvaNoIso_Fall17V2_WPL', 2, -0.5, 1.5, 'MVA noIso ID loose WP, Fall17V2'),
102  Plot1D('mvaHZZIso', 'mvaHZZIso', 20, -1, 1, 'HZZ MVA Iso ID score'),
103  Plot1D('mvaIso_WPHZZ', 'mvaIso_WPHZZ', 2, -0.5, 1.5, 'MVA Iso ID WPHZZ, Winter22V1'),
104  Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
105  Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
106  Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
107  Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
108  Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU corrections)'),
109  Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
110  Plot1D('miniPFRelIso_all_Fall17V2', 'miniPFRelIso_all_Fall17V2', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
111  Plot1D('miniPFRelIso_chg_Fall17V2', 'miniPFRelIso_chg_Fall17V2', 20, 0, 1, 'mini PF relative isolation, charged component'),
112  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)'),
113  Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3 with 94 EffArea, charged component'),
114  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
115  NoPlot('photonIdx'),
116  Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
117  Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
118  Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
119  Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
120  Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
121  Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
122  Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
123  Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV, in cm'),
124  Plot1D('tightCharge', 'tightCharge', 3, -0.5, 2.5, 'Tight charge criteria (0:none, 1:isGsfScPixChargeConsistent, 2:isGsfCtfScPixChargeConsistent)'),
125  NoPlot('vidNestedWPBitmap'),
126  NoPlot('vidNestedWPBitmap_Fall17V2'),
127  NoPlot('vidNestedWPBitmapHEEP'),
128  )
129  ),
130 
131  LowPtElectron = cms.PSet(
132  sels = cms.PSet(
133  Good = cms.string('pt > 1. && ID > 5.')
134  ),
135  plots = cms.VPSet(
136  #
137  Count1D('_size', 8, -0.5, 7.5, 'slimmedLowPtElectrons after basic selection'),
138  # CandVars
139  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
140  Plot1D('eta', 'eta', 20, -3., 3., 'eta'),
141  NoPlot('mass'),
142  Plot1D('pdgId', 'pdgId', 101, -50.5, 50.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
143  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
144  Plot1D('pt', 'pt', 40, 0., 20., 'pt (corrected)'),
145  # BDT scores and WPs
146  Plot1D('embeddedID', 'embeddedID', 40, -10., 10., 'Embedded ID, BDT (raw) score'),
147  Plot1D('ID', 'ID', 40, -10., 10., 'ID, BDT (raw) score'),
148  Plot1D('unbiased', 'unbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- agnostic BDT (raw) score'),
149  Plot1D('ptbiased', 'ptbiased', 40, -10., 10., 'ElectronSeed, pT- and dxy- dependent BDT (raw) score'),
150  # Isolation
151  Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0., 1., 'mini PF relative isolation, charged component'),
152  Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0., 1., 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
153  # Conversions
154  Plot1D('convVeto', 'convVeto', 2, -0.5, 1.5, 'pass conversion veto'),
155  Plot1D('convWP', 'convWP', 8, -0.5, 7.5, 'conversion flag bit map: 1=Veto, 2=Loose, 3=Tight'),
156  Plot1D('convVtxRadius', 'convVtxRadius', 40, 0., 20.0, 'conversion vertex radius (cm)'),
157  # Tracking
158  Plot1D('lostHits', 'lostHits', 4, -0.5, 3.5, 'number of missing inner hits'),
159  # Cluster-related
160  Plot1D('energyErr', 'energyErr', 40, 0., 20., 'energy error of the cluster from regression'),
161  Plot1D('deltaEtaSC', 'deltaEtaSC', 20, -0.2, 0.2, 'delta eta (SC,ele) with sign'),
162  Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
163  Plot1D('sieie', 'sieie', 20, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
164  Plot1D('eInvMinusPInv', 'eInvMinusPInv', 20, -0.1, 0.1, '1/E_SC - 1/p_trk'),
165  Plot1D('scEtOverPt', 'scEtOverPt', 20, -0.5, 0.5, '(supercluster transverse energy)/pt - 1'),
166  Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
167  # Displacement
168  Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
169  Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
170  Plot1D('dxyErr', 'dxyErr', 20, 0., 0.2, 'dxy uncertainty, in cm'),
171  Plot1D('dzErr', 'dzErr', 20, 0., 0.2, 'dz uncertainty, in cm'),
172  ),
173  ),
174 
175  FatJet = cms.PSet(
176  sels = cms.PSet(),
177  plots = cms.VPSet(
178  Count1D('_size', 6, -0.5, 5.5, 'slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis'),
179  Plot1D('area', 'area', 20, 2, 4, 'jet catchment area, for JECs'),
180  Plot1D('particleNetWithMass_QCD', 'particleNetWithMass_QCD', 20, -1, 1, 'ParticleNet (mass-correlated) QCD score'),
181  Plot1D('particleNetWithMass_TvsQCD', 'particleNetWithMass_TvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) top vs. QCD score'),
182  Plot1D('particleNetWithMass_WvsQCD', 'particleNetWithMass_WvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) W vs. QCD score'),
183  Plot1D('particleNetWithMass_ZvsQCD', 'particleNetWithMass_ZvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) Z vs. QCD score'),
184  Plot1D('particleNetWithMass_H4qvsQCD', 'particleNetWithMass_H4qvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H(->VV->qqqq) vs. QCD score'),
185  Plot1D('particleNetWithMass_HbbvsQCD', 'particleNetWithMass_HbbvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->bb vs. QCD score'),
186  Plot1D('particleNetWithMass_HccvsQCD', 'particleNetWithMass_HccvsQCD', 20, 0, 1, 'ParticleNet (mass-correlated) H->cc vs. QCD score'),
187  Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet QCD score'),
188  Plot1D('particleNet_QCD2HF', 'particleNet_QCD2HF', 20, 0, 1, 'ParticleNet QCD 2HF (b,c) score'),
189  Plot1D('particleNet_QCD1HF', 'particleNet_QCD1HF', 20, 0, 1, 'ParticleNet QCD 1HF (b,c) score'),
190  Plot1D('particleNet_QCD0HF', 'particleNet_QCD0HF', 20, 0, 1, 'ParticleNet QCD 0HF (b,c) score'),
191  Plot1D('particleNet_massCorr', 'particleNet_massCorr', 20, 0, 2, 'ParticleNet mass regression, correction relative to jet mass'),
192  Plot1D('particleNet_XbbVsQCD', 'particleNet_XbbVsQCD', 20, 0, 1, 'ParticleNet X->bb vs. QCD score'),
193  Plot1D('particleNet_XccVsQCD', 'particleNet_XccVsQCD', 20, 0, 1, 'ParticleNet X->cc vs. QCD score'),
194  Plot1D('particleNet_XqqVsQCD', 'particleNet_XqqVsQCD', 20, 0, 1, 'ParticleNet X->qq (uds) vs. QCD score'),
195  Plot1D('particleNet_XggVsQCD', 'particleNet_XggVsQCD', 20, 0, 1, 'ParticleNet X->gg vs. QCD score'),
196  Plot1D('particleNet_XttVsQCD', 'particleNet_XttVsQCD', 20, 0, 1, 'ParticleNet X->tautau vs. QCD score'),
197  Plot1D('particleNet_XtmVsQCD', 'particleNet_XtmVsQCD', 20, 0, 1, 'ParticleNet X->mutau vs. QCD score'),
198  Plot1D('particleNet_XteVsQCD', 'particleNet_XteVsQCD', 20, 0, 1, 'ParticleNet X->etau vs. QCD score'),
199  Plot1D('particleNet_WVsQCD', 'particleNet_WVsQCD', 20, 0, 1, 'ParticleNet W vs. QCD score'),
200  NoPlot('electronIdx3SJ'),
201  Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
202  NoPlot('genJetAK8Idx'),
203  Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
204  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),
205  Plot1D('lsf3', 'lsf3', 20, -1, 1, 'Lepton Subjet Fraction (3 subjets)'),
206  Plot1D('mass', 'mass', 20, 0, 300, 'mass'),
207  Plot1D('msoftdrop', 'msoftdrop', 20, -300, 300, 'Soft drop mass'),
208  NoPlot('muonIdx3SJ'),
209  Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
210  Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
211  Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
212  Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
213  Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
214  Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
215  Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
216  Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
217  Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
218  Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
219  Plot1D('particleNetMD_QCD', 'particleNetMD_QCD', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw QCD score'),
220  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)'),
221  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)'),
222  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)'),
223  Plot1D('particleNet_H4qvsQCD', 'particleNet_H4qvsQCD', 20, 0, 1, 'ParticleNet tagger H(->VV->qqqq) vs QCD discriminator'),
224  Plot1D('particleNet_HbbvsQCD', 'particleNet_HbbvsQCD', 20, 0, 1, 'ParticleNet tagger H(->bb) vs QCD discriminator'),
225  Plot1D('particleNet_HccvsQCD', 'particleNet_HccvsQCD', 20, 0, 1, 'ParticleNet tagger H(->cc) vs QCD discriminator'),
226  Plot1D('particleNet_QCD', 'particleNet_QCD', 20, 0, 1, 'ParticleNet tagger QCD(bb,cc,b,c,others) sum'),
227  Plot1D('particleNet_TvsQCD', 'particleNet_TvsQCD', 20, 0, 1, 'ParticleNet tagger top vs QCD discriminator'),
228  Plot1D('particleNet_WvsQCD', 'particleNet_WvsQCD', 20, 0, 1, 'ParticleNet tagger W vs QCD discriminator'),
229  Plot1D('particleNet_ZvsQCD', 'particleNet_ZvsQCD', 20, 0, 1, 'ParticleNet tagger Z vs QCD discriminator'),
230  Plot1D('particleNet_mass', 'particleNet_mass', 25, 0, 250, 'ParticleNet mass regression'),
231  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
232  Plot1D('pt', 'pt', 20, 0, 800, 'pt'),
233  Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
234  NoPlot('subJetIdx1'),
235  NoPlot('subJetIdx2'),
236  Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
237  Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
238  Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
239  Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
240  )
241  ),
242  Flag = cms.PSet(
243  sels = cms.PSet(),
244  plots = cms.VPSet(
245  Plot1D('BadChargedCandidateFilter', 'BadChargedCandidateFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
246  Plot1D('BadChargedCandidateSummer16Filter', 'BadChargedCandidateSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
247  Plot1D('BadPFMuonFilter', 'BadPFMuonFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
248  Plot1D('BadPFMuonDzFilter', 'BadPFMuonDzFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
249  Plot1D('BadPFMuonSummer16Filter', 'BadPFMuonSummer16Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
250  Plot1D('CSCTightHalo2015Filter', 'CSCTightHalo2015Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
251  Plot1D('CSCTightHaloFilter', 'CSCTightHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
252  Plot1D('CSCTightHaloTrkMuUnvetoFilter', 'CSCTightHaloTrkMuUnvetoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
253  Plot1D('EcalDeadCellBoundaryEnergyFilter', 'EcalDeadCellBoundaryEnergyFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
254  Plot1D('EcalDeadCellTriggerPrimitiveFilter', 'EcalDeadCellTriggerPrimitiveFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
255  Plot1D('HBHENoiseFilter', 'HBHENoiseFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
256  Plot1D('HBHENoiseIsoFilter', 'HBHENoiseIsoFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
257  Plot1D('HcalStripHaloFilter', 'HcalStripHaloFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
258  Plot1D('METFilters', 'METFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
259  Plot1D('chargedHadronTrackResolutionFilter', 'chargedHadronTrackResolutionFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
260  Plot1D('ecalBadCalibFilter', 'ecalBadCalibFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
261  Plot1D('ecalBadCalibFilterV2', 'ecalBadCalibFilterV2', 1, 0.5, 1.5, 'Bad ECAL calib flag (updated xtal list)'),
262  Plot1D('ecalLaserCorrFilter', 'ecalLaserCorrFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
263  Plot1D('eeBadScFilter', 'eeBadScFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
264  Plot1D('globalSuperTightHalo2016Filter', 'globalSuperTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
265  Plot1D('globalTightHalo2016Filter', 'globalTightHalo2016Filter', 2, -0.5, 1.5, 'Trigger/flag bit'),
266  Plot1D('hfNoisyHitsFilter', 'hfNoisyHitsFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
267  Plot1D('goodVertices', 'goodVertices', 2, -0.5, 1.5, 'Trigger/flag bit'),
268  Plot1D('hcalLaserEventFilter', 'hcalLaserEventFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
269  Plot1D('muonBadTrackFilter', 'muonBadTrackFilter', 2, -0.5, 1.5, 'Trigger/flag bit'),
270  Plot1D('trkPOGFilters', 'trkPOGFilters', 2, -0.5, 1.5, 'Trigger/flag bit'),
271  Plot1D('trkPOG_logErrorTooManyClusters', 'trkPOG_logErrorTooManyClusters', 2, -0.5, 1.5, 'Trigger/flag bit'),
272  Plot1D('trkPOG_manystripclus53X', 'trkPOG_manystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
273  Plot1D('trkPOG_toomanystripclus53X', 'trkPOG_toomanystripclus53X', 2, -0.5, 1.5, 'Trigger/flag bit'),
274  )
275  ),
276  FsrPhoton = cms.PSet(
277  sels = cms.PSet(),
278  plots = cms.VPSet(
279  Count1D('_size', 4, -0.5, 3.5, 'Final state radiation photons emitted by muons'),
280  Plot1D('dROverEt2', 'dROverEt2', 20, 0, 0.05, 'deltaR to associated muon divided by photon et2'),
281  Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
282  NoPlot('muonIdx'),
283  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
284  Plot1D('pt', 'pt', 20, 0, 40, 'pt'),
285  Plot1D('relIso03', 'relIso03', 20, 0, 2, 'relative isolation in a 0.3 cone without CHS'),
286  )
287  ),
288  GenDressedLepton = cms.PSet(
289  sels = cms.PSet(),
290  plots = cms.VPSet(
291  Count1D('_size', 25, -0.5, 24.5, 'Dressed leptons from Rivet-based ParticleLevelProducer'),
292  Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
293  Plot1D('hasTauAnc', 'hasTauAnc', 2, -0.5, 1.5, 'true if Dressed lepton has a tau as ancestor'),
294  Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
295  Plot1D('pdgId', 'pdgId', 40, -20, 20, 'pdgId'),
296  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
297  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
298  )
299  ),
300  GenIsolatedPhoton = cms.PSet(
301  sels = cms.PSet(),
302  plots = cms.VPSet(
303  Count1D('_size', 10, -0.5, 9.5, 'Isolated photons from Rivet-based ParticleLevelProducer'),
304  Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
305  NoPlot('mass'),
306  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
307  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
308  )
309  ),
310  GenJet = cms.PSet(
311  sels = cms.PSet(),
312  plots = cms.VPSet(
313  Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJets, i.e. ak4 Jets made with visible genparticles'),
314  Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
315  Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
316  Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
317  Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
318  Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
319  Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
320  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
321  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
322  )
323  ),
324  GenJetAK8 = cms.PSet(
325  sels = cms.PSet(),
326  plots = cms.VPSet(
327  Count1D('_size', 25, -0.5, 24.5, 'slimmedGenJetAK8, i.e. ak8 Jets made with visible genparticles'),
328  Plot1D('eta', 'eta', 20, -7, 7, 'eta'),
329  Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
330  Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
331  Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
332  Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
333  Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
334  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
335  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
336  )
337  ),
338  GenMET = cms.PSet(
339  sels = cms.PSet(),
340  plots = cms.VPSet(
341  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
342  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
343  )
344  ),
345  GenPart = cms.PSet(
346  sels = cms.PSet(),
347  plots = cms.VPSet(
348  Count1D('_size', 40, -0.5, 124.5, 'interesting gen particles '),
349  Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
350  NoPlot('genPartIdxMother'),
351  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'),
352  Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
353  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
354  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
355  Plot1D('iso', 'iso', 20, 0, 200, 'iso'),
356  Plot1D('status', 'status', 20, 0, 100, 'Particle status. 1=stable'),
357  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),
358  )
359  ),
360  GenVtx = cms.PSet(
361  sels = cms.PSet(),
362  plots = cms.VPSet(
363  Plot1D('x', 'x', 50, -0.5, 0.5, 'Gen vertex x position'),
364  Plot1D('y', 'y', 50, -0.5, 0.5, 'Gen vertex y position'),
365  Plot1D('z', 'z', 30, -15, 15, 'Gen vertex z position'),
366  Plot1D('t0', 't0', 20, -1, 1, 'Gen vertex time (t0)'),
367  )
368  ),
369  GenVisTau = cms.PSet(
370  sels = cms.PSet(),
371  plots = cms.VPSet(
372  Count1D('_size', 4, -0.5, 3.5, 'gen hadronic taus '),
373  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'charge'),
374  Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
375  NoPlot('genPartIdxMother'),
376  Plot1D('mass', 'mass', 20, 0, 2, 'mass'),
377  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
378  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
379  Plot1D('status', 'status', 16, -0.5, 15.5, 'Hadronic tau decay mode. 0=OneProng0PiZero, 1=OneProng1PiZero, 2=OneProng2PiZero, 10=ThreeProng0PiZero, 11=ThreeProng1PiZero, 15=Other'),
380  )
381  ),
382  IsoTrack = cms.PSet(
383  sels = cms.PSet(),
384  plots = cms.VPSet(
385  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'),
386  Plot1D('dxy', 'dxy', 20, -0.02, 0.02, 'dxy (with sign) wrt first PV, in cm'),
387  Plot1D('dz', 'dz', 20, -0.09, 0.09, 'dz (with sign) wrt first PV, in cm'),
388  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
389  Plot1D('fromPV', 'fromPV', 5, -1.5, 3.5, 'provenance from primary vertex'),
390  Plot1D('isFromLostTrack', 'isFromLostTrack', 2, -0.5, 1.5, 'if isolated track comes from a lost track'),
391  Plot1D('isHighPurityTrack', 'isHighPurityTrack', 2, -0.5, 1.5, 'track is high purity'),
392  Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'if isolated track is a PF candidate'),
393  Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 2, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
394  Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 2, 'mini PF relative isolation, charged component'),
395  Plot1D('pdgId', 'pdgId', 20, -300, 300, 'PDG id of PF cand'),
396  Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
397  Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
398  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
399  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
400  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge')
401  )
402  ),
403  Jet = cms.PSet(
404  sels = cms.PSet(
405  CentralPt30 = cms.string('abs(eta) < 2.4 && pt > 30'),
406  ForwardPt30 = cms.string('abs(eta) > 2.4 && pt > 30')
407  ),
408  plots = cms.VPSet(
409  Count1D('_size', 20, -0.5, 19.5, 'slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (pt > 15)'),
410  Plot1D('area', 'area', 20, 0.2, 0.8, 'jet catchment area, for JECs'),
411  Plot1D('bRegCorr', 'bRegCorr', 20, 0, 3, 'pt correction for b-jet energy regression'),
412  Plot1D('bRegRes', 'bRegRes', 20, 0, 0.6, 'res on pt corrected with b-jet regression'),
413  Plot1D('btagDeepFlavB', 'btagDeepFlavB', 20, 0, 1, 'DeepFlavour b+bb tag discriminator'),
414  Plot1D('btagDeepFlavC', 'btagDeepFlavC', 20, 0, 1, 'DeepFlavour charm tag discriminator'),
415  Plot1D('btagDeepFlavCvB', 'btagDeepFlavCvB', 20, -1, 1, 'DeepJet c vs b+bb+lepb discriminator'),
416  Plot1D('btagDeepFlavCvL', 'btagDeepFlavCvL', 20, -1, 1, 'DeepJet c vs uds+g discriminator'),
417  Plot1D('btagDeepFlavQG', 'btagDeepFlavQG', 20, -1, 1, 'DeepJet g vs uds discriminator'),
418  Plot1D('btagUParTAK4B', 'btagUParTAK4B', 20, 0, 1, 'UnifiedParT b vs. udscg discriminator'),
419  Plot1D('btagUParTAK4CvB', 'btagUParTAK4CvB', 20, -1, 1, 'UnifiedParT c vs. b discriminator'),
420  Plot1D('btagUParTAK4CvL', 'btagUParTAK4CvL', 20, -1, 1, 'UnifiedParT c vs. udsg discriminator'),
421  Plot1D('btagUParTAK4QG', 'btagUParTAK4QG', 20, -1, 1, 'UnifiedParT q (udsbc) vs. g discriminator'),
422  Plot1D('btagUParTAK4TauVJet', 'btagUParTAK4TauVJet', 20, -1, 1, 'UnifiedParT tau vs. jet discriminator'),
423  Plot1D('btagUParTCvNotB', 'btagUParTCvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
424  Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
425  Plot1D('cRegRes', 'cRegRes', 20, 0.05, 0.4, 'res on pt corrected with c-jet regression'),
426  Plot1D('btagPNetB', 'btagPNetB', 20, 0, 1, 'ParticleNet b tag discriminator'),
427  Plot1D('btagPNetCvL', 'btagPNetCvL', 20, 0, 1, 'ParticleNet c vs. light (udsg) discriminator'),
428  Plot1D('btagPNetCvB', 'btagPNetCvB', 20, 0, 1, 'ParticleNet c vs. b discriminator'),
429  Plot1D('btagPNetCvNotB', 'btagPNetCvNotB', 20, 0, 1, 'ParticleNet C vs notB discriminator'),
430  Plot1D('btagPNetQvG', 'btagPNetQvG', 20, 0, 1, 'ParticleNet quark (udsbc) vs. gluon discriminator'),
431  Plot1D('btagPNetTauVJet', 'btagPNetTauVJet', 20, 0, 1, 'ParticleNet tau vs. jet discriminator'),
432  Plot1D('PNetRegPtRawCorr', 'PNetRegPtRawCorr', 20, 0, 2, 'ParticleNet visible pT regression, correction relative to raw pT'),
433  Plot1D('PNetRegPtRawCorrNeutrino', 'PNetRegPtRawCorrNeutrino', 20, 0, 2, 'ParticleNet neutrino pT correction, relative to regressed visible pT'),
434  Plot1D('PNetRegPtRawRes', 'PNetRegPtRawRes', 20, 0, 0.5, 'ParticleNet per-jet resolution estimator: (q84 - q16)/2'),
435  Plot1D('chEmEF', 'chEmEF', 20, 0, 1, 'charged Electromagnetic Energy Fraction'),
436  Plot1D('chFPV0EF', 'chFPV0EF', 20, 0, 2, 'charged fromPV==0 Energy Fraction (energy excluded from CHS jets). Previously called betastar.'),
437  Plot1D('chHEF', 'chHEF', 20, 0, 2, 'charged Hadron Energy Fraction'),
438  NoPlot('electronIdx1'),
439  NoPlot('electronIdx2'),
440  Plot1D('eta', 'eta', 20, -6, 6, 'eta'),
441  NoPlot('genJetIdx'),
442  Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
443  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),
444  Plot1D('mass', 'mass', 20, 0, 200, 'mass'),
445  Plot1D('muEF', 'muEF', 20, 0, 1, 'muon Energy Fraction'),
446  NoPlot('muonIdx1'),
447  NoPlot('muonIdx2'),
448  Plot1D('muonSubtrFactor', 'muonSubtrFactor', 20, 0, 1, '1-(muon-subtracted raw pt)/(raw pt)'),
449  Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
450  Plot1D('chMultiplicity', 'chMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of charged particles in the jet'),
451  Plot1D('neMultiplicity', 'neMultiplicity', 20, 0, 80, '(Puppi-weighted) Number of neutral particles in the jet'),
452  Plot1D('nElectrons', 'nElectrons', 5, -0.5, 4.5, 'number of electrons in the jet'),
453  Plot1D('nMuons', 'nMuons', 4, -0.5, 3.5, 'number of muons in the jet'),
454  Plot1D('neEmEF', 'neEmEF', 20, 0, 1, 'charged Electromagnetic EnergyFraction'),
455  Plot1D('neHEF', 'neHEF', 20, 0, 1, 'neutral Hadron Energy Fraction'),
456  Plot1D('partonFlavour', 'partonFlavour', 40, -9.5, 30.5, 'flavour from parton matching'),
457  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
458  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
459  Plot1D('puId', 'puId', 8, -0.5, 7.5, 'Pilup ID flags'),
460  Plot1D('puIdDisc', 'puIdDisc', 20, -1, 1, 'Pilup ID discriminant with 102X (2018) training'),
461  Plot1D('qgl', 'qgl', 20, 0, 1, 'Quark vs Gluon likelihood discriminator'),
462  Plot1D('hfHEF', 'hfHEF', 20, 0, 1, 'hadronic Energy Fraction in HF'),
463  Plot1D('hfEmEF', 'hfEmEF', 20, 0, 1, 'electromagnetic Energy Fraction in HF'),
464  Plot1D('hfsigmaEtaEta', 'hfsigmaEtaEta', 20, 0, 0.2, 'sigmaEtaEta for HF jets (noise discriminating variable)'),
465  Plot1D('hfsigmaPhiPhi', 'hfsigmaPhiPhi', 20, 0, 0.2, 'sigmaPhiPhi for HF jets (noise discriminating variable)'),
466  Plot1D('hfcentralEtaStripSize', 'hfcentralEtaStripSize', 10, 0, 10, 'eta size of the central tower strip in HF (noise discriminating variable)'),
467  Plot1D('hfadjacentEtaStripsSize', 'hfadjacentEtaStripsSize', 10, 0, 10, 'eta size of the strips next to the central tower strip in HF (noise discriminating variable)'),
468  Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
469  )
470  ),
471  LHEPart = cms.PSet(
472  sels = cms.PSet(),
473  plots = cms.VPSet(
474  Count1D('_size', 20, 0, 20, 'LHE particles'),
475  Plot1D('eta', 'eta', 20, -30000, 30000, 'eta'),
476  Plot1D('pdgId', 'pdgId', 20, -6000, 6000, 'PDG id'),
477  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
478  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
479  )
480  ),
481  LHEPdfWeight = cms.PSet(
482  sels = cms.PSet(),
483  plots = cms.VPSet(
484  Count1D('_size', 1000, 0, 2000, 'LHE PDF weights'),
485  Plot1D('', '', 100, 0, 2, 'all weights'),
486  )
487  ),
488  LHEScaleWeight = cms.PSet(
489  sels = cms.PSet(),
490  plots = cms.VPSet(
491  Count1D('_size', 20, 0, 20, 'LHE scale weights'),
492  Plot1D('', '', 100, 0, 2, 'all weights'),
493  )
494  ),
495  PFMET = cms.PSet(
496  sels = cms.PSet(),
497  plots = cms.VPSet(
498  Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
499  Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
500  Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
501  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
502  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
503  Plot1D('significance', 'significance', 20, 0, 200, 'MET significance'),
504  Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
505  Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for MET significance'),
506 
507  Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
508  Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
509  Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
510  Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
511 
512  )
513  ),
514 
515  FiducialMET = cms.PSet(
516  sels = cms.PSet(),
517  plots = cms.VPSet(
518  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
519  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
520  )
521  ),
522 
523  Muon = cms.PSet(
524  sels = cms.PSet(
525  Good = cms.string('pt > 15 && abs(dxy) < 0.2 && abs(dz) < 0.5 && mediumId && miniPFRelIso_all < 0.4')
526  ),
527  plots = cms.VPSet(
528  Count1D('_size', 5, -0.5, 4.5, 'slimmedMuons after basic selection (pt > 3 && track.isNonnull && isLooseMuon)'),
529  Plot1D('bsConstrainedPt', '', 20, 0., 200., 'pt with beamspot constraint'),
530  Plot1D('bsConstrainedPtErr', '', 20, 0., 20., 'pt error w. beamspot constraint'),
531  Plot1D('bsConstrainedChi2', '', 20, 0., 40., 'chi2 of beamspot constraint'),
532  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
533  Plot1D('dxy', 'dxy', 20, -0.1, 0.1, 'dxy (with sign) wrt first PV, in cm'),
534  Plot1D('dxyErr', 'dxyErr', 20, 0, 0.1, 'dxy uncertainty, in cm'),
535  Plot1D('dxybs', 'dxybs', 20, -0.1, 0.1, 'dxy (with sign) wrt the beam spot, in cm'),
536  Plot1D('dz', 'dz', 20, -0.3, 0.3, 'dz (with sign) wrt first PV, in cm'),
537  Plot1D('dzErr', 'dzErr', 20, 0, 0.2, 'dz uncertainty, in cm'),
538  Plot1D('eta', 'eta', 20, -2.5, 2.5, 'eta'),
539  NoPlot('fsrPhotonIdx'),
540  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'),
541  NoPlot('genPartIdx'),
542  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)'),
543  Plot1D('highPurity', 'highPurity', 2, -0.5, 1.5, 'inner track is high purity'),
544  Plot1D('inTimeMuon', 'inTimeMuon', 2, -0.5, 1.5, 'inTimeMuon ID'),
545  Plot1D('ip3d', 'ip3d', 20, 0, 0.2, '3D impact parameter wrt first PV, in cm'),
546  Plot1D('isGlobal', 'isGlobal', 2, -0.5, 1.5, 'muon is global muon'),
547  Plot1D('isPFcand', 'isPFcand', 2, -0.5, 1.5, 'muon is PF candidate'),
548  Plot1D('isTracker', 'isTracker', 2, -0.5, 1.5, 'muon is tracker muon'),
549  Plot1D('isStandalone', 'isStandalone', 2, -0.5, 1.5, 'muon is a standalone muon'),
550  NoPlot('jetIdx'),
551  Plot1D('jetPtRelv2', 'jetPtRelv2', 20, 0, 30, 'Relative momentum of the lepton with respect to the closest jet after subtracting the lepton'),
552  Plot1D('jetRelIso', 'jetRelIso', 20, -0.2, 1.8, 'Relative isolation in matched jet (1/ptRatio-1, pfRelIso04_all if no matched jet)'),
553  Plot1D('looseId', 'looseId', 2, -0.5, 1.5, 'muon is loose muon'),
554  NoPlot('mass'),
555  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)'),
556  Plot1D('mediumPromptId', 'mediumPromptId', 2, -0.5, 1.5, 'cut-based ID, medium prompt WP'),
557  Plot1D('miniIsoId', 'miniIsoId', 5, -0.5, 4.5, 'MiniIso ID from miniAOD selector (1=MiniIsoLoose, 2=MiniIsoMedium, 3=MiniIsoTight, 4=MiniIsoVeryTight)'),
558  Plot1D('miniPFRelIso_all', 'miniPFRelIso_all', 20, 0, 1, 'mini PF relative isolation, total (with scaled rho*EA PU corrections)'),
559  Plot1D('miniPFRelIso_chg', 'miniPFRelIso_chg', 20, 0, 1, 'mini PF relative isolation, charged component'),
560  Plot1D('multiIsoId', 'multiIsoId', 3, -0.5, 2.5, 'MultiIsoId from miniAOD selector (1=MultiIsoLoose, 2=MultiIsoMedium)'),
561  Plot1D('mvaLowPt', 'mvaLowPt', 20, -1, 1, 'Low pt muon ID score'),
562  Plot1D('promptMVA', 'promptMVA', 20, -1, 1, 'prompt MVA lepton ID score'),
563  Plot1D('mvaMuID', 'mvaMuID', 20, 0, 1, 'Score of MVA-based muon ID'),
564  Plot1D('mvaMuID_WP', 'mvaMuID_WP', 3, -0.5, 2.5, 'MVA-based ID selector WPs (1=MVAIDwpMedium,2=MVAIDwpTight)'),
565  Plot1D('nStations', 'nStations', 5, -0.5, 4.5, 'number of matched stations with default arbitration (segment & track)'),
566  Plot1D('nTrackerLayers', 'nTrackerLayers', 15, 2.5, 17.5, 'number of layers in the tracker'),
567  Plot1D('jetNDauCharged', 'jetNDauCharged', 20, -0.5, 19.5, 'number of charged daughters of the closest jet'),
568  Plot1D('pdgId', 'pdgId', 27, -13.5, 13.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
569  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)'),
570  Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (deltaBeta corrections)'),
571  Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component'),
572  Plot1D('pfRelIso04_all', 'pfRelIso04_all', 20, 0, 2, 'PF relative isolation dR=0.4, total (deltaBeta corrections)'),
573  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
574  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
575  Plot1D('ptErr', 'ptErr', 20, 0, 20, 'ptError of the muon track'),
576  Plot1D('segmentComp', 'segmentComp', 20, 0, 1, 'muon segment compatibility'),
577  Plot1D('sip3d', 'sip3d', 20, 0, 20, '3D impact parameter significance wrt first PV'),
578  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)'),
579  Plot1D('softMva', 'softMva', 20, -1, 1, 'soft MVA ID score'),
580  Plot1D('softMvaRun3', 'softMvaRun3', 20, 0, 1, 'soft MVA ID score for Run3'),
581  Plot1D('softMvaId', 'softMvaId', 2, -0.5, 1.5, 'soft MVA ID'),
582  Plot1D('tightCharge', 'tightCharge', 1, 1.5, 2.5, 'Tight charge criterion using pterr/pt of muonBestTrack (0:fail, 2:pass)'),
583  Profile1D('tightId', 'tightId', 'pt', 16, 0, 80, 'POG Tight muon ID'),
584  Plot1D('tkIsoId', 'tkIsoId', 3, -0.5, 2.5, 'TkIso ID (1=TkIsoLoose, 2=TkIsoTight)'),
585  Plot1D('tkRelIso', 'tkRelIso', 100, 0, 1, 'Tracker-based relative isolation dR=0.3 for highPt, trkIso/tunePpt'),
586  Plot1D('triggerIdLoose', 'triggerIdLoose', 2, -0.5, 1.5, 'TriggerIdLoose ID'),
587  Plot1D('tunepRelPt', 'tunepRelPt', 200, 0, 200, 'TuneP relative pt, tunePpt/pt'),
588  )
589  ),
590  OtherPV = cms.PSet(
591  sels = cms.PSet(),
592  plots = cms.VPSet(
593  NoPlot('_size'),
594  Plot1D('z', 'z', 20, -20, 20, 'Z position of other primary vertices, excluding the main PV'),
595  Plot1D('score', 'score', 20, 0, 300000, 'scores of other primary vertices, excluding the main PV'),
596  )
597  ),
598  PPSLocalTrack = cms.PSet(
599  sels = cms.PSet(),
600  plots = cms.VPSet(
601  Count1D('_size', 26, -0.5, 25.5, 'ppsLocalTrack variables'),
602  Plot1D('decRPId', 'decRPId', 20, 0, 200, 'local track detector dec id'),
603  NoPlot('multiRPProtonIdx'),
604  Plot1D('rpType', 'rpType', 2, 3.5, 5.5, 'strip=3, pixel=4, diamond=5, timing=6'),
605  Plot1D('time', 'time', 20, -2, 2, 'local track time'),
606  Plot1D('timeUnc', 'timeUnc', 20, 0, 0.3, 'local track time uncertainty'),
607  Plot1D('x', 'x', 20, 2, 30, 'local track x'),
608  Plot1D('y', 'y', 20, -20, 20, 'local track y'),
609  )
610  ),
611  PSWeight = cms.PSet(
612  sels = cms.PSet(),
613  plots = cms.VPSet(
614  Plot1D('', '', 20, 0, 2, 'All PS weights (w_var / w_nominal)'),
615  Count1D('_size', 46, -0.5, 45.5, 'Number of PS weights'),
616  )
617  ),
618  PV = cms.PSet(
619  sels = cms.PSet(),
620  plots = cms.VPSet(
621  Plot1D('chi2', 'chi2', 20, 0.5, 3, 'main primary vertex reduced chi2'),
622  Plot1D('ndof', 'ndof', 20, 0, 500, 'main primary vertex number of degree of freedom'),
623  Plot1D('npvs', 'npvs', 20, 0, 60, 'total number of reconstructed primary vertices'),
624  Plot1D('npvsGood', 'npvsGood', 20, 0, 60, 'total number of Good primary vertices'),
625  Plot1D('score', 'score', 20, 0, 300000, 'main primary vertex score, i.e. sum pt2 of clustered objects'),
626  Plot1D('sumpt2', 'sumpt2', 100, 0, 300000, 'main primary vertex sum pt2 of the charged pf candidates'),
627  Plot1D('sumpx', 'sumpx', 20, -100, 100, 'main primary vertex sum px of the charged pf candidates'),
628  Plot1D('sumpy', 'sumpy', 20, -100, 100, 'main primary vertex sum py of the charged pf candidates'),
629  Plot1D('x', 'x', 20, -0.3, 0.3, 'main primary vertex position x coordinate'),
630  Plot1D('y', 'y', 20, -0.3, 0.3, 'main primary vertex position y coordinate'),
631  Plot1D('z', 'z', 20, -20, 20, 'main primary vertex position z coordinate'),
632  )
633  ),
634  Photon = cms.PSet(
635  sels = cms.PSet(),
636  plots = cms.VPSet(
637  Count1D('_size', 9, -0.5, 8.5, 'slimmedPhotons after basic selection (pt > 5 )'),
638  Plot1D('charge', 'charge', 1, -0.5, 0.5, 'electric charge'),
639  Plot1D('cutBased', 'cutBased', 4, -0.5, 3.5,'cut-based ID bitmap, (0:fail, 1:loose, 2:medium, 3:tight)'),
640  Plot1D('cutBased_Fall17V2', 'cutBased_Fall17V2', 4, -0.5, 3.5, 'cut-based ID bitmap, Fall17V2, (0:fail, 1:loose, 2:medium, 3:tight)'),
641  NoPlot('electronIdx'),
642  Plot1D('electronVeto', 'electronVeto', 2, -0.5, 1.5, 'pass electron veto'),
643  Plot1D('energyErr', 'energyErr', 20, 0, 300, 'energy error of the cluster from regression'),
644  Plot1D('energyRaw', 'energyRaw', 100, 0, 300, 'raw energy of photon supercluster'),
645  Plot1D('superclusterEta', 'superclusterEta', 20, -3, 3, 'supercluster eta'),
646  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
647  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'),
648  NoPlot('genPartIdx'),
649  Plot1D('hoe', 'hoe', 20, 0, 0.6, 'H over E'),
650  Plot1D('hoe_Tower', 'hoe_Tower', 20, 0, 0.6, 'H over E Tower based calculation'),
651  Plot1D('hoe_PUcorr', 'hoe_PUcorr', 20, 0, 0.6, 'H over E with PU correction'),
652  Plot1D('isScEtaEB', 'isScEtaEB', 2, -0.5, 1.5, 'is supercluster eta within barrel acceptance'),
653  Plot1D('isScEtaEE', 'isScEtaEE', 2, -0.5, 1.5, 'is supercluster eta within endcap acceptance'),
654  NoPlot('jetIdx'),
655  NoPlot('mass'),
656  Plot1D('mvaID', 'mvaID', 20, -1, 1, 'MVA ID score'),
657  Plot1D('mvaID_WP80', 'mvaID_WP80', 2, -0.5, 1.5, 'MVA ID WP80'),
658  Plot1D('mvaID_WP90', 'mvaID_WP90', 2, -0.5, 1.5, 'MVA ID WP90'),
659  Plot1D('mvaID_Fall17V2', 'mvaID_Fall17V2', 20, -1, 1, 'Fall17V2 MVA ID score'),
660  Plot1D('mvaID_Fall17V2_WP80', 'mvaID_WP80_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP80'),
661  Plot1D('mvaID_Fall17V2_WP90', 'mvaID_WP90_Fall17V2', 2, -0.5, 1.5, 'Fall17V2 MVA ID WP90'),
662  Plot1D('trkSumPtHollowConeDR03', 'trkSumPtHollowConeDR03', 100, 0, 8, 'Sum of track pT in a hollow cone of outer radius, inner radius'),
663  Plot1D('trkSumPtSolidConeDR04', 'trkSumPtSolidConeDR04', 100, 0, 8, 'Sum of track pT in a cone of dR=0.4'),
664  Plot1D('ecalPFClusterIso', 'ecalPFClusterIso', 100, 0, 10, 'sum pt of ecal clusters, vetoing clusters part of photon'),
665  Plot1D('hcalPFClusterIso', 'hcalPFClusterIso', 100, 0, 10, 'sum pt of hcal clusters, vetoing clusters part of photon'),
666  Plot1D('pfPhoIso03', 'pfPhoIso03', 100, 0, 1, 'PF absolute isolation dR=0.3, photon component (uncorrected)'),
667  Plot1D('pfChargedIso', 'pfChargedIso', 100, 0, 10, 'PF absolute isolation dR=0.3, charged component with dxy,dz match to PV'),
668  Plot1D('pfChargedIsoPFPV', 'pfChargedIsoPFPV', 100, 0, 5, 'PF absolute isolation dR=0.3, charged component (PF PV only)'),
669  Plot1D('pfChargedIsoWorstVtx', 'pfChargedIsoWorstVtx', 100, 0, 10,'PF absolute isolation dR=0.3, charged component (Vertex with largest isolation)'),
670  Plot1D('pdgId', 'pdgId', 1, 21.5, 22.5, 'PDG code assigned by the event reconstruction (not by MC truth)'),
671  Plot1D('pfRelIso03_all_Fall17V2', 'pfRelIso03_all_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU Fall17V2 corrections)'),
672  Plot1D('pfRelIso03_chg_Fall17V2', 'pfRelIso03_chg_Fall17V2', 20, 0, 2, 'PF relative isolation dR=0.3, charged component (with rho*EA PU Fall17V2 corrections)'),
673  Plot1D('pfRelIso03_all_quadratic', 'pfRelIso03_all_quadratic', 20, 0, 2, 'PF relative isolation dR=0.3, total (with quadraticEA*rho*rho + linearEA*rho corrections)'),
674  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)'),
675  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
676  Plot1D('pixelSeed', 'pixelSeed', 2, -0.5, 1.5, 'has pixel seed'),
677  Plot1D('hasConversionTracks', 'hasConversionTracks', 2, -0.5, 1.5, 'Variable specifying if photon has associated conversion tracks (one-legged or two-legged)'),
678  Plot1D('pt', 'pt', 20, 0, 200, 'pt (corrected)'),
679  Plot1D('r9', 'r9', 20, 0, 1.1, 'R9 of the supercluster, calculated with full 5x5 region'),
680  Plot1D('seedGain', 'seedGain', 12, 0.5, 12.5, 'Gain of the seed crystal'),
681  Plot1D('seediEtaOriX', 'seediEtaOriX', 200, -90, 110, 'iEta/iX of seed crystal'),
682  Plot1D('seediPhiOriY', 'seediPhiOriY', 380, -10, 370, 'iPhi/iY of seed crystal'),
683  Plot1D('sieie', 'sieie', 100, 0, 0.05, 'sigma_IetaIeta of the supercluster, calculated with full 5x5 region'),
684  Plot1D('sipip', 'sipip', 100, 0, 0.05, 'sigmaIphiIphi of the supercluster'),
685  Plot1D('sieip', 'sieip', 100, -0.0002, 0.0002, 'sigma_IetaIphi of the supercluster, calculated with full 5x5 region'),
686  Plot1D('s4', 's4', 100, 0.4, 1, 'e2x2/e5x5 of the supercluster, calculated with full 5x5 region'),
687  Plot1D('etaWidth', 'etaWidth', 100, 0, 0.03, 'Width of the photon supercluster in eta'),
688  Plot1D('phiWidth', 'phiWidth', 100, 0, 0.1, 'Width of the photon supercluster in phi'),
689  Plot1D('x_calo', 'x_calo', 100, -150, 150, 'photon supercluster position on calorimeter, x coordinate (cm)'),
690  Plot1D('y_calo', 'y_calo', 100, -150, 150, 'photon supercluster position on calorimeter, y coordinate (cm)'),
691  Plot1D('z_calo', 'z_calo', 100, -330, 330, 'photon supercluster position on calorimeter, y coordinate (cm)'),
692  Plot1D('esEffSigmaRR', 'esEffSigmaRR', 100, 0, 10, 'preshower sigmaRR'),
693  Plot1D('esEnergyOverRawE', 'esEnergyOverRawE', 100, 0, 0.2, 'ratio of preshower energy to raw supercluster energy'),
694  NoPlot('vidNestedWPBitmap'),
695  NoPlot('vidNestedWPBitmap_Fall17V2'),
696  )
697  ),
698  Proton_multiRP = cms.PSet(
699  sels = cms.PSet(),
700  plots = cms.VPSet(
701  Count1D('_size', 3, -0.5, 2.5, 'bon'),
702  Plot1D('arm', 'arm', 2, -0.5, 1.5, '0 = sector45, 1 = sector56'),
703  Plot1D('t', 't', 20, -500, -0.003, 'Mandelstam variable t'),
704  Plot1D('thetaX', 'thetaX', 20, -0.0004, 0.0004, 'scattering angle in the y direction'),
705  Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
706  Plot1D('time', 'time', 20, -1000, -1000, 'time'),
707  Plot1D('timeUnc', 'timeUnc', 20, 0, 0, 'time uncertainty'),
708  Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
709  )
710  ),
711  Proton_singleRP = cms.PSet(
712  sels = cms.PSet(),
713  plots = cms.VPSet(
714  Count1D('_size', 3, -0.5, 2.5, 'bon'),
715  Plot1D('xi', 'xi', 20, 0, 0.3, 'fractional momentum loss'),
716  Plot1D('thetaY', 'thetaY', 20, -0.001, 0.001, 'scattering angle in the x direction'),
717  Plot1D('decRPId', 'decRPId', 20, 0, 200, 'Detector ID'),
718  )
719  ),
720  Pileup = cms.PSet(
721  sels = cms.PSet(),
722  plots = cms.VPSet(
723  Plot1D('gpudensity', 'gpudensity', 20, 0, 0.9, 'Generator-level PU vertices / mm'),
724  Plot1D('nPU', 'nPU', 20, 0, 60, 'the number of pileup interactions that have been added to the event in the current bunch crossing'),
725  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'),
726  Plot1D('pudensity', 'pudensity', 5, -0.5, 4.5, 'PU vertices / mm'),
727  Plot1D('sumEOOT', 'sumEOOT', 20, 0, 800, 'number of early out of time pileup'),
728  Plot1D('sumLOOT', 'sumLOOT', 20, 0, 300, 'number of late out of time pileup'),
729  Plot1D('pthatmax','pthatmax',20, 0, 400, 'Maximum pt-hat'),
730  )
731  ),
732  PuppiMET = cms.PSet(
733  sels = cms.PSet(),
734  plots = cms.VPSet(
735 
736  Plot1D('covXX', 'covXX', 20, 0, 40000, 'xx element of met covariance matrix'),
737  Plot1D('covXY', 'covXY', 20, -8000, 8000, 'xy element of met covariance matrix'),
738  Plot1D('covYY', 'covYY', 20, 0, 50000, 'yy element of met covariance matrix'),
739  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
740  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
741  Plot1D('significance', 'significance', 20, 0, 200, 'PuppiMET significance'),
742  Plot1D('sumEt', 'sumEt', 20, 600, 5000, 'scalar sum of Et'),
743  Plot1D('sumPtUnclustered', 'sumPtUnclustered', 20, 0, 3000, 'sumPt used for PuppiMET significance'),
744 
745  Plot1D('ptUnclusteredUp', 'ptUnclusteredUp', 20, 0, 400, 'pt Unclustered Up'),
746  Plot1D('ptUnclusteredDown', 'ptUnclusteredDown', 20, 0, 400, 'pt Unclustered Down'),
747  Plot1D('phiUnclusteredUp', 'phiUnclusteredUp', 20, -3.14159, 3.14159, 'phi Unclustered Up'),
748  Plot1D('phiUnclusteredDown', 'phiUnclusteredDown', 20, -3.14159, 3.14159, 'phi Unclustered Down'),
749  )
750  ),
751  RawPFMET = cms.PSet(
752  sels = cms.PSet(),
753  plots = cms.VPSet(
754  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
755  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
756  Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
757  )
758  ),
759  RawPuppiMET = cms.PSet(
760  sels = cms.PSet(),
761  plots = cms.VPSet(
762  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
763  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
764  Plot1D('sumEt', 'sumEt', 20, 400, 4000, 'scalar sum of Et'),
765  )
766  ),
767  SV = cms.PSet(
768  sels = cms.PSet(),
769  plots = cms.VPSet(
770  Count1D('_size', 14, -0.5, 13.5),
771  Plot1D('chi2', 'chi2', 20, -2000, 2000, 'reduced chi2, i.e. chi/ndof'),
772  Plot1D('dlen', 'dlen', 20, 0, 4, 'decay length in cm'),
773  Plot1D('dlenSig', 'dlenSig', 20, 0, 50, 'decay length significance'),
774  Plot1D('dxy', 'dxy', 20, 0, 4, '2D decay length in cm'),
775  Plot1D('dxySig', 'dxySig', 20, 0, 50, '2D decay length significance'),
776  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
777  Plot1D('mass', 'mass', 20, 0, 8, 'mass'),
778  Plot1D('ndof', 'ndof', 20, -1, 19, 'number of degrees of freedom'),
779  Plot1D('pAngle', 'pAngle', 20, -3.1416, 3.1416, 'pointing angle, i.e. acos(p_SV * (SV - PV)) '),
780  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
781  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
782  Plot1D('x', 'x', 20, -0.5, 0.5, 'secondary vertex X position, in cm'),
783  Plot1D('y', 'y', 20, -0.5, 0.5, 'secondary vertex Y position, in cm'),
784  Plot1D('z', 'z', 20, -10, 10, 'secondary vertex Z position, in cm'),
785  Plot1D('ntracks', 'ntracks', 11, -0.5, 10.5, 'number of tracks'),
786  Plot1D('charge', 'charge', 11 , -0.5, 10.5, 'sum of the charge of the SV tracks'),
787  )
788  ),
789  SoftActivityJet = cms.PSet(
790  sels = cms.PSet(),
791  plots = cms.VPSet(
792  Count1D('_size', 7, -0.5, 6.5, 'jets clustered from charged candidates compatible with primary vertex (charge()!=0 && pvAssociationQuality()>=5 && vertexRef().key()==0)'),
793  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
794  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
795  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
796  )
797  ),
798  SubJet = cms.PSet(
799  sels = cms.PSet(),
800  plots = cms.VPSet(
801  Count1D('_size', 9, -0.5, 8.5, 'slimmedJetsAK8PFPuppiSoftDropPacked::SubJets, i.e. soft-drop subjets for ak8 fat jets for boosted'),
802  Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
803  Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
804  Plot1D('eta', 'eta', 20, -4, 4, 'eta'),
805  Plot1D('hadronFlavour', 'hadronFlavour', 6, -0.5, 5.5, 'flavour from hadron ghost clustering'),
806  Plot1D('mass', 'mass', 20, -200, 200, 'mass'),
807  Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
808  Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
809  Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
810  Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
811  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
812  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
813  Plot1D('rawFactor', 'rawFactor', 20, -0.5, 0.5, '1 - Factor to get back to raw pT'),
814  Plot1D('area', 'area', 25, 0, 2.5, 'jet catchment area, for JECs'),
815  Plot1D('tau1', 'tau1', 20, 0, 1, 'Nsubjettiness (1 axis)'),
816  Plot1D('tau2', 'tau2', 20, 0, 1, 'Nsubjettiness (2 axis)'),
817  Plot1D('tau3', 'tau3', 20, 0, 1, 'Nsubjettiness (3 axis)'),
818  Plot1D('tau4', 'tau4', 20, 0, 1, 'Nsubjettiness (4 axis)'),
819  )
820  ),
821  Tau = cms.PSet(
822  sels = cms.PSet(),
823  plots = cms.VPSet(
824  Count1D('_size', 7, -0.5, 6.5, "slimmedTaus after basic selection (pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT')))"),
825  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
826  Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
827  Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
828  Plot1D('decayModePNet', 'decayModePNet', 13, -1.5, 11.5, 'decay mode of the highest PNet tau score (CHS jets)'),
829  Plot1D('decayModeUParT', 'decayModeUParT', 13, -1.5, 11.5, 'decay mode of the highest UParT tau score (PUPPI jets)'),
830  Plot1D('dxy', 'dxy', 20, -1000, 1000, 'd_{xy} of lead track with respect to PV, in cm (with sign)'),
831  Plot1D('dz', 'dz', 20, -20, 20, 'd_{z} of lead track with respect to PV, in cm (with sign)'),
832  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
833  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'),
834  NoPlot('genPartIdx'),
835  Plot1D('idAntiEleDeadECal', 'idAntiEleDeadECal', 2, -0.5, 1.5, "tauID('againstElectronDeadECAL')"),
836  Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
837  Plot1D('idDecayModeOldDMs', 'idDecayModeOldDMs', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
838  Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
839  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'),
840  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'),
841  Plot1D('idDeepTau2017v2p1VSmu', 'idDeepTau2017v2p1VSmu', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSmu ID working points (deepTau2017v2p1): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
842  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'),
843  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'),
844  Plot1D('idDeepTau2018v2p5VSmu', 'idDeepTau2018v2p5VSmu', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSmu ID working points (deepTau2018v2p5): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
845  NoPlot('jetIdx'),
846  Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
847  Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
848  Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
849  Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
850  Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
851  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
852  Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
853  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
854  Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
855  Plot1D('rawDeepTau2017v2p1VSe', 'rawDeepTau2017v2p1VSe', 20, 0, 1, 'byDeepTau2017v2p1VSe raw output discriminator (deepTau2017v2p1)'),
856  Plot1D('rawDeepTau2017v2p1VSjet', 'rawDeepTau2017v2p1VSjet', 20, 0, 1, 'byDeepTau2017v2p1VSjet raw output discriminator (deepTau2017v2p1)'),
857  Plot1D('rawDeepTau2017v2p1VSmu', 'rawDeepTau2017v2p1VSmu', 20, 0, 1, 'byDeepTau2017v2p1VSmu raw output discriminator (deepTau2017v2p1)'),
858  Plot1D('rawDeepTau2018v2p5VSe', 'rawDeepTau2018v2p5VSe', 20, 0, 1, 'byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)'),
859  Plot1D('rawDeepTau2018v2p5VSjet', 'rawDeepTau2018v2p5VSjet', 20, 0, 1, 'byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)'),
860  Plot1D('rawDeepTau2018v2p5VSmu', 'rawDeepTau2018v2p5VSmu', 20, 0, 1, 'byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)'),
861  Plot1D('rawPNetVSe', 'rawPNetVSe', 20, 0, 1, 'byPNetVSe raw output discriminator (PNet 2023 - CHS Jets)'),
862  Plot1D('rawPNetVSjet', 'rawPNetVSjet', 20, 0, 1, 'byPNetVSjet raw output discriminator (PNet 2023 - CHS Jets)'),
863  Plot1D('rawPNetVSmu', 'rawPNetVSmu', 20, 0, 1, 'byPNetVSmu raw output discriminator (PNet 2023 - CHS Jets)'),
864  Plot1D('rawUParTVSe', 'rawUParTVSe', 20, 0, 1, 'byUParTVSe raw output discriminator (UParT 2024 - PUPPI Jets)'),
865  Plot1D('rawUParTVSjet', 'rawUParTVSjet', 20, 0, 1, 'byUParTVSjet raw output discriminator (UParT 2024 - PUPPI Jets)'),
866  Plot1D('rawUParTVSmu', 'rawUParTVSmu', 20, 0, 1, 'byUParTVSmu raw output discriminator (UParT 2024 - PUPPI Jets)'),
867  Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
868  Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
869  Plot1D('ptCorrPNet', 'ptCorrPNet', 20, 0, 2, 'pt correction (PNet 2023 - CHS Jets)'),
870  Plot1D('qConfPNet', 'qConfPNet', 20, -0.5, 0.5, 'signed charge confidence (PNet 2023 - CHS Jets)'),
871  Plot1D('probDM0PNet', 'probDM0PNet', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (PNet 2023 - CHS Jets)'),
872  Plot1D('probDM1PNet', 'probDM1PNet', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (PNet 2023 - CHS Jets)'),
873  Plot1D('probDM2PNet', 'probDM2PNet', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (PNet 2023 - CHS Jets)'),
874  Plot1D('probDM10PNet', 'probDM10PNet', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (PNet 2023 - CHS Jets)'),
875  Plot1D('probDM11PNet', 'probDM11PNet', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (PNet 2023 - CHS Jets)'),
876  Plot1D('ptCorrUParT', 'ptCorrUParT', 20, 0, 2, 'pt correction (UParT 2024 - PUPPI Jets)'),
877  Plot1D('qConfUParT', 'qConfUUParT', 20, -0.5, 0.5, 'signed charge confidence (UParT 2024 - PUPPI Jets)'),
878  Plot1D('probDM0UParT', 'probDM0UParT', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (UParT 2024 - PUPPI Jets)'),
879  Plot1D('probDM1UParT', 'probDM1UParT', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (UParT 2024 - PUPPI Jets)'),
880  Plot1D('probDM2UParT', 'probDM2UParT', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (UParT 2024 - PUPPI Jets)'),
881  Plot1D('probDM10UParT', 'probDM10UParT', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (UParT 2024 - PUPPI Jets)'),
882  Plot1D('probDM11UParT', 'probDM11UParT', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (UParT 2024 - PUPPI Jets)'),
883  )
884  ),
885  TauProd = cms.PSet(
886  sels = cms.PSet(),
887  plots = cms.VPSet(
888  Count1D('_size', 40, -0.5, 5.5, 'tau decay products'),
889  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
890  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
891  Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
892  Plot1D('pdgId', 'pdgId', 200, -10250, 10250, 'PDG code assigned by the event reconstruction (not by MC truth)'),
893  NoPlot('status'),
894  )
895  ),
896  TrkMET = cms.PSet(
897  sels = cms.PSet(),
898  plots = cms.VPSet(
899  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
900  Plot1D('pt', 'pt', 20, 0, 400, 'pt'),
901  Plot1D('sumEt', 'sumEt', 20, 0, 2000, 'scalar sum of Et'),
902  )
903  ),
904  TrigObj = cms.PSet(
905  sels = cms.PSet(
906  Electron = cms.string('id == 11'),
907  HT = cms.string('id == 3'),
908  Jet = cms.string('id == 1'),
909  MET = cms.string('id == 2'),
910  MHT = cms.string('id == 4'),
911  Muon = cms.string('id == 13'),
912  Photon = cms.string('id == 22'),
913  Tau = cms.string('id == 15')
914  ),
915  plots = cms.VPSet(
916  Count1D('_size', 28, -0.5, 27.5),
917  Plot1D('eta', 'eta', 20, -5, 5, 'eta'),
918  Plot1D('filterBits', 'filterBits', 31, 0, 31, 'extra bits of associated information, object- and era-dependent: see branch documentation', bitset=True),
919  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'),
920  Plot1D('l1charge', 'l1charge', 3, -1.5, 1.5, 'charge of associated L1 seed'),
921  Plot1D('l1iso', 'l1iso', 4, -0.5, 3.5, 'iso of associated L1 seed'),
922  Plot1D('l1pt', 'l1pt', 20, 0, 200, 'pt of associated L1 seed'),
923  Plot1D('l1pt_2', 'l1pt_2', 20, 0, 200, 'pt of associated secondary L1 seed'),
924  Plot1D('l2pt', 'l2pt', 20, 0, 200, "pt of associated 'L2' seed (i.e. HLT before tracking/PF)"),
925  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
926  Plot1D('pt', 'pt', 40, 0, 400, 'pt'),
927  )
928  ),
929  boostedTau = cms.PSet(
930  sels = cms.PSet(),
931  plots = cms.VPSet(
932  Count1D('_size', 7, -0.5, 6.5, "slimmedBoostedTaus after basic selection (pt > 40 && tauID('decayModeFindingNewDMs') && (tauID('byVVLooseIsolationMVArun2017v2DBoldDMwLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBoldDMdR0p3wLT2017') || tauID('byVVLooseIsolationMVArun2017v2DBnewDMwLT2017')))"),
933  Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
934  Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
935  Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
936  Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
937  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'),
938  NoPlot('genPartIdx'),
939  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'),
940  Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
941  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'),
942  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'),
943  NoPlot('jetIdx'),
944  Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
945  Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
946  Plot1D('leadTkPtOverTauPt', 'leadTkPtOverTauPt', 20, 0, 2, 'pt of the leading track divided by tau pt'),
947  Plot1D('mass', 'mass', 20, 0, 5, 'mass'),
948  Plot1D('neutralIso', 'neutralIso', 20, 0, 200, 'neutral (photon) isolation'),
949  Plot1D('phi', 'phi', 20, -3.14159, 3.14159, 'phi'),
950  Plot1D('photonsOutsideSignalCone', 'photonsOutsideSignalCone', 20, 0, 30, 'sum of photons outside signal cone'),
951  Plot1D('pt', 'pt', 20, 0, 200, 'pt'),
952  Plot1D('puCorr', 'puCorr', 20, 0, 90, 'pileup correction'),
953  Plot1D('rawAntiEle2018', 'rawAntiEle2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator (2018)'),
954  Plot1D('rawAntiEleCat2018', 'rawAntiEleCat2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 category (2018)'),
955  Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
956  Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
957  Plot1D('rawMVAnewDM2017v2', 'rawMVAnewDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBnewDMwLT raw output discriminator (2017v2)'),
958  Plot1D('rawMVAoldDM2017v2', 'rawMVAoldDM2017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBoldDMwLT raw output discriminator (2017v2)'),
959  )
960  ),
961  L1PreFiringWeight = cms.PSet(
962  sels = cms.PSet(),
963  plots = cms.VPSet(
964  Plot1D('Nom', 'Nom', 21, 0.8, 1.01, 'L1 prefiring weight nominal'),
965  Plot1D('Up', 'Up', 21, 0.8, 1.01, 'L1 prefiring weight uncertainy up'),
966  Plot1D('Dn', 'Dn', 21, 0.8, 1.01, 'L1 prefiring weight uncertainty down'),
967  Plot1D('ECAL_Nom', 'ECAL_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for ECAL objects nominal'),
968  Plot1D('Muon_Nom', 'Muon_Nom', 21, 0.8, 1.01, 'L1 prefiring weight for muons nominal'),
969  )
970 
971  ),
972  BeamSpot = cms.PSet(
973  sels = cms.PSet(),
974  plots = cms.VPSet(
975  Plot1D('z', 'z', 20, 0.5, 1.5, 'BeamSpot center, z coordinate (cm)'),
976  Plot1D('zError', 'zError', 20, 0., 0.01, 'Error on BeamSpot center, z coordinate (cm)'),
977  Plot1D('sigmaZ', 'sigmaZ', 20, 0., 10, 'Width of BeamSpot in z (cm)'),
978  Plot1D('sigmaZError', 'sigmaZError', 20, 0., 0.01, 'Error on width of BeamSpot in z (cm)'),
979  )
980  ),
981  Rho = cms.PSet(
982  sels = cms.PSet(),
983  plots = cms.VPSet(
984  Plot1D('fixedGridRhoAll', 'fixedGridRhoAll', 100, 0, 80, 'rho from all PF Candidates, no foreground removal (for isolation of prompt photons)'),
985  )
986  ),
987  )
988 )
989 
nanoDQM_tools_cff.Count1D
def Count1D(name, nbins, xmin, xmax, title="")
Definition: nanoDQM_tools_cff.py:6
nanoDQM_tools_cff.NoPlot
def NoPlot(name)
Definition: nanoDQM_tools_cff.py:3
nanoDQM_tools_cff
nanoDQM_tools_cff.Profile1D
def Profile1D(name, ycolumn, xcolumn, nbins, xmin, xmax, title="")
Definition: nanoDQM_tools_cff.py:12
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