CMS 3D CMS Logo
jetsAK4_CHS_cff.py
Go to the documentation of this file.
1 import FWCore.ParameterSet.Config as cms
2 
3 from PhysicsTools.NanoAOD.nano_eras_cff import *
4 from PhysicsTools.NanoAOD.common_cff import *
5 from PhysicsTools.NanoAOD.simplePATJetFlatTableProducer_cfi import simplePATJetFlatTableProducer
6 
7 
8 
9 from PhysicsTools.PatAlgos.recoLayer0.jetCorrFactors_cfi import *
10 # Note: Safe to always add 'L2L3Residual' as MC contains dummy L2L3Residual corrections (always set to 1)
11 # (cf. https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#CMSSW_7_6_4_and_above )
12 jetCorrFactorsNano = patJetCorrFactors.clone(src='slimmedJets',
13  levels = cms.vstring('L1FastJet',
14  'L2Relative',
15  'L3Absolute',
16  'L2L3Residual'),
17  primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
18 )
19 
20 from PhysicsTools.PatAlgos.producersLayer1.jetUpdater_cfi import *
21 updatedJets = updatedPatJets.clone(
22  addBTagInfo=False,
23  jetSource='slimmedJets',
24  jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetCorrFactorsNano") ),
25 )
26 
27 #
28 # JetID
29 #
30 looseJetId = cms.EDProducer("PatJetIDValueMapProducer",
31  filterParams=cms.PSet(
32  version = cms.string('WINTER16'),
33  quality = cms.string('LOOSE'),
34  ),
35  src = cms.InputTag("updatedJets")
36 )
37 tightJetId = cms.EDProducer("PatJetIDValueMapProducer",
38  filterParams=cms.PSet(
39  version = cms.string('RUN3CHSruns2022FGruns2023CD'),
40  quality = cms.string('TIGHT'),
41  ),
42  src = cms.InputTag("updatedJets")
43 )
44 tightJetIdLepVeto = cms.EDProducer("PatJetIDValueMapProducer",
45  filterParams=cms.PSet(
46  version = cms.string('RUN3CHSruns2022FGruns2023CD'),
47  quality = cms.string('TIGHTLEPVETO'),
48  ),
49  src = cms.InputTag("updatedJets")
50 )
51 run2_jme_2016.toModify(
52  tightJetId.filterParams, version = "RUN2UL16CHS"
53 ).toModify(
54  tightJetIdLepVeto.filterParams, version = "RUN2UL16CHS"
55 )
56 
57 (run2_jme_2017 | run2_jme_2018).toModify(
58  tightJetId.filterParams, version = "RUN2ULCHS"
59 ).toModify(
60  tightJetIdLepVeto.filterParams, version = "RUN2ULCHS"
61 )
62 
63 run3_jme_Winter22runsBCDEprompt.toModify(
64  tightJetId.filterParams, version = "RUN3CHSruns2022BCDEprompt"
65 ).toModify(
66  tightJetIdLepVeto.filterParams, version = "RUN3CHSruns2022BCDEprompt"
67 )
68 
69 bJetVars = cms.EDProducer("JetRegressionVarProducer",
70  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
71  src = cms.InputTag("updatedJets"),
72  svsrc = cms.InputTag("slimmedSecondaryVertices"),
73 )
74 
75 jercVars = cms.EDProducer("BetaStarPackedCandidateVarProducer",
76  srcJet = cms.InputTag("updatedJets"),
77  srcPF = cms.InputTag("packedPFCandidates"),
78  maxDR = cms.double(0.4)
79 )
80 
81 updatedJetsWithUserData = cms.EDProducer("PATJetUserDataEmbedder",
82  src = cms.InputTag("updatedJets"),
83  userFloats = cms.PSet(
84  leadTrackPt = cms.InputTag("bJetVars:leadTrackPt"),
85  leptonPtRelv0 = cms.InputTag("bJetVars:leptonPtRelv0"),
86  leptonPtRelInvv0 = cms.InputTag("bJetVars:leptonPtRelInvv0"),
87  leptonDeltaR = cms.InputTag("bJetVars:leptonDeltaR"),
88  vtxPt = cms.InputTag("bJetVars:vtxPt"),
89  vtxMass = cms.InputTag("bJetVars:vtxMass"),
90  vtx3dL = cms.InputTag("bJetVars:vtx3dL"),
91  vtx3deL = cms.InputTag("bJetVars:vtx3deL"),
92  ptD = cms.InputTag("bJetVars:ptD"),
93  qgl = cms.InputTag('qgtagger:qgLikelihood'),
94  puIdNanoDisc = cms.InputTag('pileupJetIdNano:fullDiscriminant'),
95  chFPV0EF = cms.InputTag("jercVars:chargedFromPV0EnergyFraction"),
96  ),
97  userInts = cms.PSet(
98  tightId = cms.InputTag("tightJetId"),
99  tightIdLepVeto = cms.InputTag("tightJetIdLepVeto"),
100  vtxNtrk = cms.InputTag("bJetVars:vtxNtrk"),
101  leptonPdgId = cms.InputTag("bJetVars:leptonPdgId"),
102  puIdNanoId = cms.InputTag('pileupJetIdNano:fullId'),
103  ),
104 )
105 
106 
107 finalJets = cms.EDFilter("PATJetRefSelector",
108  src = cms.InputTag("updatedJetsWithUserData"),
109  cut = cms.string("pt > 15")
110 )
111 
112 
113 
114 
115 
116 jetTable = simplePATJetFlatTableProducer.clone(
117  src = cms.InputTag("linkedObjects","jets"),
118  name = cms.string("Jet"),
119  doc = cms.string("slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (" + finalJets.cut.value()+")"),
120  externalVariables = cms.PSet(
121  bRegCorr = ExtVar(cms.InputTag("bjetNN:corr"),float, doc="pt correction for b-jet energy regression",precision=10),
122  bRegRes = ExtVar(cms.InputTag("bjetNN:res"),float, doc="res on pt corrected with b-jet regression",precision=6),
123  cRegCorr = ExtVar(cms.InputTag("cjetNN:corr"),float, doc="pt correction for c-jet energy regression",precision=10),
124  cRegRes = ExtVar(cms.InputTag("cjetNN:res"),float, doc="res on pt corrected with c-jet regression",precision=6),
125  ),
126  variables = cms.PSet(P4Vars,
127  area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
128  nMuons = Var("?hasOverlaps('muons')?overlaps('muons').size():0", "uint8", doc="number of muons in the jet"),
129  muonIdx1 = Var("?overlaps('muons').size()>0?overlaps('muons')[0].key():-1", "int16", doc="index of first matching muon"),
130  muonIdx2 = Var("?overlaps('muons').size()>1?overlaps('muons')[1].key():-1", "int16", doc="index of second matching muon"),
131  electronIdx1 = Var("?overlaps('electrons').size()>0?overlaps('electrons')[0].key():-1", "int16", doc="index of first matching electron"),
132  electronIdx2 = Var("?overlaps('electrons').size()>1?overlaps('electrons')[1].key():-1", "int16", doc="index of second matching electron"),
133  nElectrons = Var("?hasOverlaps('electrons')?overlaps('electrons').size():0", "uint8", doc="number of electrons in the jet"),
134  svIdx1 = Var("?overlaps('vertices').size()>0?overlaps('vertices')[0].key():-1", "int16", doc="index of first matching secondary vertex"),
135  svIdx2 = Var("?overlaps('vertices').size()>1?overlaps('vertices')[1].key():-1", "int16", doc="index of second matching secondary vertex"),
136  nSVs = Var("?hasOverlaps('vertices')?overlaps('vertices').size():0", "uint8", doc="number of secondary vertices in the jet"),
137  btagDeepFlavB = Var("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')",float,doc="DeepJet b+bb+lepb tag discriminator",precision=10),
138  btagDeepFlavCvL = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg')):-1",float,doc="DeepJet c vs uds+g discriminator",precision=10),
139  btagDeepFlavCvB = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')):-1",float,doc="DeepJet c vs b+bb+lepb discriminator",precision=10),
140  btagDeepFlavQG = Var("?(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds'))>0?bDiscriminator('pfDeepFlavourJetTags:probg')/(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds')):-1",float,doc="DeepJet g vs uds discriminator",precision=10),
141  btagPNetB = Var("?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:BvsAll'):-1",float,precision=10,doc="ParticleNet b vs. udscg"),
142  btagPNetCvL = Var("?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:CvsL'):-1",float,precision=10,doc="ParticleNet c vs. udsg"),
143  btagPNetCvB = Var("?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:CvsB'):-1",float,precision=10,doc="ParticleNet c vs. b"),
144  btagPNetCvNotB = Var("?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:probb')>0?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:probc')/(1.-bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:probb')):-1",float,precision=10,doc="ParticleNet C vs notB"),
145  btagPNetQvG = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:QvsG'):bDiscriminator('pfParticleNetFromMiniAODAK4CHSForwardDiscriminatorsJetTags:QvsG')",float,precision=10,doc="ParticleNet q (udsbc) vs. g"),
146  btagPNetTauVJet = Var("?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralDiscriminatorsJetTags:TauVsJet'):-1",float,precision=10,doc="ParticleNet tau vs. jet"),
147  PNetRegPtRawCorr = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:ptcorr'):bDiscriminator('pfParticleNetFromMiniAODAK4CHSForwardJetTags:ptcorr')",float,precision=10,doc="ParticleNet universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
148  PNetRegPtRawCorrNeutrino = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:ptnu'):bDiscriminator('pfParticleNetFromMiniAODAK4CHSForwardJetTags:ptnu')",float,precision=10,doc="ParticleNet universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both PNetRegPtRawCorr and PNetRegPtRawCorrNeutrino."),
149  PNetRegPtRawRes = Var("?abs(eta())<2.5?0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4CHSCentralJetTags:ptreslow')):0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4CHSForwardJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4CHSForwardJetTags:ptreslow'))",float,precision=10,doc="ParticleNet universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
150  btagUParTAK4B = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll'):-1",float,precision=10,doc="UnifiedParT b vs. udscg"),
151  btagUParTAK4CvL = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL'):-1",float,precision=10,doc="UnifiedParT c vs. udsg"),
152  btagUParTAK4CvB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB'):-1",float,precision=10,doc="UnifiedParT c vs. b"),
153  btagUParTAK4CvNotB = Var("?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb')))>0?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probc'))/(1.-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb'))):-1",float,precision=10,doc="UnifiedParT c vs. not b"),
154  btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=10,doc="UnifiedParT q (udsbc) vs. g"),
155  btagUParTAK4TauVJet = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet'):-1",float,precision=10,doc="UnifiedParT tau vs. jet"),
156  UParTAK4RegPtRawCorr = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
157  UParTAK4RegPtRawCorrNeutrino = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both UParTAK4RegPtRawCorr and UParTAK4RegPtRawCorrNeutrino."),
158  UParTAK4RegPtRawRes = Var("?(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow'))>0?0.5*(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow')):-1",float,precision=10,doc="UnifiedParT universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
159  puIdDisc = Var("userFloat('puIdNanoDisc')", float,doc="Pileup ID discriminant with 106X (2018) training",precision=10),
160  puId = Var("userInt('puIdNanoId')", "uint8", doc="Pileup ID flags with 106X (2018) training"),
161  jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')", "uint8", doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
162  qgl = Var("?userFloat('qgl')>0?userFloat('qgl'):-1",float,doc="Quark vs Gluon likelihood discriminator",precision=10),
163  hfsigmaEtaEta = Var("userFloat('hfJetShowerShape:sigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10),
164  hfsigmaPhiPhi = Var("userFloat('hfJetShowerShape:sigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10),
165  hfcentralEtaStripSize = Var("userInt('hfJetShowerShape:centralEtaStripSize')", int, doc="eta size of the central tower strip in HF (noise discriminating variable) "),
166  hfadjacentEtaStripsSize = Var("userInt('hfJetShowerShape:adjacentEtaStripsSize')", int, doc="eta size of the strips next to the central tower strip in HF (noise discriminating variable) "),
167  nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
168  chMultiplicity = Var("chargedMultiplicity()","uint8",doc="Number of charged particles in the jet"),
169  neMultiplicity = Var("neutralMultiplicity()","uint8",doc="Number of neutral particles in the jet"),
170  rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
171  chHEF = Var("chargedHadronEnergyFraction()", float, doc="charged Hadron Energy Fraction", precision= 6),
172  neHEF = Var("neutralHadronEnergyFraction()", float, doc="neutral Hadron Energy Fraction", precision= 6),
173  chEmEF = Var("chargedEmEnergyFraction()", float, doc="charged Electromagnetic Energy Fraction", precision= 6),
174  neEmEF = Var("neutralEmEnergyFraction()", float, doc="neutral Electromagnetic Energy Fraction", precision= 6),
175  hfHEF = Var("HFHadronEnergyFraction()",float,doc="hadronic Energy Fraction in HF",precision= 6),
176  hfEmEF = Var("HFEMEnergyFraction()",float,doc="electromagnetic Energy Fraction in HF",precision= 6),
177  muEF = Var("muonEnergyFraction()", float, doc="muon Energy Fraction", precision= 6),
178  chFPV0EF = Var("userFloat('chFPV0EF')", float, doc="charged fromPV==0 Energy Fraction (energy excluded from CHS jets). Previously called betastar.", precision= 6),
179  )
180 )
181 
182 #jets are not as precise as muons
183 jetTable.variables.pt.precision=10
184 
185 
186 (run2_jme_2016 & ~tracker_apv_vfp30_2016 ).toModify(
187  jetTable.variables.puIdDisc, doc="Pileup ID discriminant with 106X (2016) training"
188 ).toModify(
189  jetTable.variables.puId, doc="Pileup ID flags with 106X (2016) training"
190 )
191 (run2_jme_2016 & tracker_apv_vfp30_2016 ).toModify(
192  jetTable.variables.puIdDisc, doc="Pileup ID discriminant with 106X (2016APV) training"
193 ).toModify(
194  jetTable.variables.puId, doc="Pileup ID flags with 106X (2016APV) training"
195 )
196 run2_jme_2017.toModify(
197  jetTable.variables.puIdDisc, doc="Pileup ID discriminant with 106X (2017) training"
198 ).toModify(
199  jetTable.variables.puId, doc="Pileup ID flags with 106X (2017) training"
200 )
201 
202 run2_nanoAOD_ANY.toModify(
203  jetTable.variables,
204  btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
205  btagDeepB = Var("?(bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb'))>=0?bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb'):-1",float,doc="DeepCSV b+bb tag discriminator",precision=10),
206  btagDeepCvL = Var("?bDiscriminator('pfDeepCSVJetTags:probc')>=0?bDiscriminator('pfDeepCSVJetTags:probc')/(bDiscriminator('pfDeepCSVJetTags:probc')+bDiscriminator('pfDeepCSVJetTags:probudsg')):-1", float,doc="DeepCSV c vs udsg discriminator",precision=10),
207  btagDeepCvB = Var("?bDiscriminator('pfDeepCSVJetTags:probc')>=0?bDiscriminator('pfDeepCSVJetTags:probc')/(bDiscriminator('pfDeepCSVJetTags:probc')+bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')):-1",float,doc="DeepCSV c vs b+bb discriminator",precision=10),
208  # Remove for V9
209  chMultiplicity = None,
210  neMultiplicity = None,
211  hfHEF = None,
212  hfEmEF = None
213 )
214 
215 (run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
216  jetTable.variables,
217  # New ParticleNet trainings are not available in MiniAOD until Run3 13X
218  btagPNetB = None,
219  btagPNetCvL = None,
220  btagPNetCvB = None,
221  btagPNetQvG = None,
222  btagPNetTauVJet = None,
223  PNetRegPtRawCorr = None,
224  PNetRegPtRawCorrNeutrino = None,
225  PNetRegPtRawRes = None,
226  # Remove for V11 and earlier Run3 versions
227  chMultiplicity = None,
228  neMultiplicity = None,
229  hfHEF = None,
230  hfEmEF = None
231 )
232 
233 bjetNN = cms.EDProducer("BJetEnergyRegressionMVA",
234  backend = cms.string("ONNX"),
235  batch_eval = cms.bool(True),
236  src = cms.InputTag("linkedObjects","jets"),
237  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
238  svsrc = cms.InputTag("slimmedSecondaryVertices"),
239  rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
240 
241  weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2018.onnx"),
242  name = cms.string("JetRegNN"),
243  variables = cms.VPSet(
244  cms.PSet( name = cms.string("Jet_pt"), expr = cms.string("pt*jecFactor('Uncorrected')")),
245  cms.PSet( name = cms.string("Jet_eta"), expr = cms.string("eta")),
246  cms.PSet( name = cms.string("rho")),
247  cms.PSet( name = cms.string("Jet_mt"), expr = cms.string("mt*jecFactor('Uncorrected')")),
248  cms.PSet( name = cms.string("Jet_leadTrackPt"), expr = cms.string("userFloat('leadTrackPt')")),
249  cms.PSet( name = cms.string("Jet_leptonPtRel"), expr = cms.string("userFloat('leptonPtRelv0')")),
250  cms.PSet( name = cms.string("Jet_leptonDeltaR"), expr = cms.string("userFloat('leptonDeltaR')")),
251  cms.PSet( name = cms.string("Jet_neHEF"), expr = cms.string("neutralHadronEnergyFraction()")),
252  cms.PSet( name = cms.string("Jet_neEmEF"), expr = cms.string("neutralEmEnergyFraction()")),
253  cms.PSet( name = cms.string("Jet_vtxPt"), expr = cms.string("userFloat('vtxPt')")),
254  cms.PSet( name = cms.string("Jet_vtxMass"), expr = cms.string("userFloat('vtxMass')")),
255  cms.PSet( name = cms.string("Jet_vtx3dL"), expr = cms.string("userFloat('vtx3dL')")),
256  cms.PSet( name = cms.string("Jet_vtxNtrk"), expr = cms.string("userInt('vtxNtrk')")),
257  cms.PSet( name = cms.string("Jet_vtx3deL"), expr = cms.string("userFloat('vtx3deL')")),
258  cms.PSet( name = cms.string("Jet_numDaughters_pt03")),
259  cms.PSet( name = cms.string("Jet_energyRing_dR0_em_Jet_rawEnergy")),
260  cms.PSet( name = cms.string("Jet_energyRing_dR1_em_Jet_rawEnergy")),
261  cms.PSet( name = cms.string("Jet_energyRing_dR2_em_Jet_rawEnergy")),
262  cms.PSet( name = cms.string("Jet_energyRing_dR3_em_Jet_rawEnergy")),
263  cms.PSet( name = cms.string("Jet_energyRing_dR4_em_Jet_rawEnergy")),
264  cms.PSet( name = cms.string("Jet_energyRing_dR0_neut_Jet_rawEnergy")),
265  cms.PSet( name = cms.string("Jet_energyRing_dR1_neut_Jet_rawEnergy")),
266  cms.PSet( name = cms.string("Jet_energyRing_dR2_neut_Jet_rawEnergy")),
267  cms.PSet( name = cms.string("Jet_energyRing_dR3_neut_Jet_rawEnergy")),
268  cms.PSet( name = cms.string("Jet_energyRing_dR4_neut_Jet_rawEnergy")),
269  cms.PSet( name = cms.string("Jet_energyRing_dR0_ch_Jet_rawEnergy")),
270  cms.PSet( name = cms.string("Jet_energyRing_dR1_ch_Jet_rawEnergy")),
271  cms.PSet( name = cms.string("Jet_energyRing_dR2_ch_Jet_rawEnergy")),
272  cms.PSet( name = cms.string("Jet_energyRing_dR3_ch_Jet_rawEnergy")),
273  cms.PSet( name = cms.string("Jet_energyRing_dR4_ch_Jet_rawEnergy")),
274  cms.PSet( name = cms.string("Jet_energyRing_dR0_mu_Jet_rawEnergy")),
275  cms.PSet( name = cms.string("Jet_energyRing_dR1_mu_Jet_rawEnergy")),
276  cms.PSet( name = cms.string("Jet_energyRing_dR2_mu_Jet_rawEnergy")),
277  cms.PSet( name = cms.string("Jet_energyRing_dR3_mu_Jet_rawEnergy")),
278  cms.PSet( name = cms.string("Jet_energyRing_dR4_mu_Jet_rawEnergy")),
279  cms.PSet( name = cms.string("Jet_chHEF"), expr = cms.string("chargedHadronEnergyFraction()")),
280  cms.PSet( name = cms.string("Jet_chEmEF"), expr = cms.string("chargedEmEnergyFraction()")),
281  cms.PSet( name = cms.string("Jet_leptonPtRelInv"), expr = cms.string("userFloat('leptonPtRelInvv0')*jecFactor('Uncorrected')")),
282  cms.PSet( name = cms.string("isEle"), expr = cms.string("?abs(userInt('leptonPdgId'))==11?1:0")),
283  cms.PSet( name = cms.string("isMu"), expr = cms.string("?abs(userInt('leptonPdgId'))==13?1:0")),
284  cms.PSet( name = cms.string("isOther"), expr = cms.string("?userInt('leptonPdgId')==0?1:0")),
285  cms.PSet( name = cms.string("Jet_mass"), expr = cms.string("mass*jecFactor('Uncorrected')")),
286  cms.PSet( name = cms.string("Jet_ptd"), expr = cms.string("userFloat('ptD')"))
287  ),
288  inputTensorName = cms.string("ffwd_inp:0"),
289  outputTensorName = cms.string("ffwd_out/BiasAdd:0"),
290  outputNames = cms.vstring(["corr","res"]),
291  outputFormulas = cms.vstring(["at(0)*0.27912887930870056+1.0545977354049683","0.5*(at(2)-at(1))*0.27912887930870056"]),
292 )
293 
294 cjetNN = cms.EDProducer("BJetEnergyRegressionMVA",
295  backend = cms.string("ONNX"),
296  batch_eval = cms.bool(True),
297 
298  src = cms.InputTag("linkedObjects","jets"),
299  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
300  svsrc = cms.InputTag("slimmedSecondaryVertices"),
301  rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
302 
303  weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2018.onnx"),
304  name = cms.string("JetRegNN"),
305  variables = cms.VPSet(
306  cms.PSet( name = cms.string("Jet_pt"), expr = cms.string("pt*jecFactor('Uncorrected')")),
307  cms.PSet( name = cms.string("Jet_eta"), expr = cms.string("eta")),
308  cms.PSet( name = cms.string("rho")),
309  cms.PSet( name = cms.string("Jet_mt"), expr = cms.string("mt*jecFactor('Uncorrected')")),
310  cms.PSet( name = cms.string("Jet_leadTrackPt"), expr = cms.string("userFloat('leadTrackPt')")),
311  cms.PSet( name = cms.string("Jet_leptonPtRel"), expr = cms.string("userFloat('leptonPtRelv0')")),
312  cms.PSet( name = cms.string("Jet_leptonDeltaR"), expr = cms.string("userFloat('leptonDeltaR')")),
313  cms.PSet( name = cms.string("Jet_neHEF"), expr = cms.string("neutralHadronEnergyFraction()")),
314  cms.PSet( name = cms.string("Jet_neEmEF"), expr = cms.string("neutralEmEnergyFraction()")),
315  cms.PSet( name = cms.string("Jet_vtxPt"), expr = cms.string("userFloat('vtxPt')")),
316  cms.PSet( name = cms.string("Jet_vtxMass"), expr = cms.string("userFloat('vtxMass')")),
317  cms.PSet( name = cms.string("Jet_vtx3dL"), expr = cms.string("userFloat('vtx3dL')")),
318  cms.PSet( name = cms.string("Jet_vtxNtrk"), expr = cms.string("userInt('vtxNtrk')")),
319  cms.PSet( name = cms.string("Jet_vtx3deL"), expr = cms.string("userFloat('vtx3deL')")),
320  cms.PSet( name = cms.string("Jet_numDaughters_pt03")),
321  cms.PSet( name = cms.string("Jet_chEmEF"), expr = cms.string("chargedEmEnergyFraction()")),
322  cms.PSet( name = cms.string("Jet_chHEF"), expr = cms.string("chargedHadronEnergyFraction()")),
323  cms.PSet( name = cms.string("Jet_ptd"), expr = cms.string("userFloat('ptD')")),
324  cms.PSet( name = cms.string("Jet_mass"), expr = cms.string("mass*jecFactor('Uncorrected')")),
325  cms.PSet( name = cms.string("Jet_energyRing_dR0_em_Jet_rawEnergy")),
326  cms.PSet( name = cms.string("Jet_energyRing_dR1_em_Jet_rawEnergy")),
327  cms.PSet( name = cms.string("Jet_energyRing_dR2_em_Jet_rawEnergy")),
328  cms.PSet( name = cms.string("Jet_energyRing_dR3_em_Jet_rawEnergy")),
329  cms.PSet( name = cms.string("Jet_energyRing_dR4_em_Jet_rawEnergy")),
330  cms.PSet( name = cms.string("Jet_energyRing_dR0_neut_Jet_rawEnergy")),
331  cms.PSet( name = cms.string("Jet_energyRing_dR1_neut_Jet_rawEnergy")),
332  cms.PSet( name = cms.string("Jet_energyRing_dR2_neut_Jet_rawEnergy")),
333  cms.PSet( name = cms.string("Jet_energyRing_dR3_neut_Jet_rawEnergy")),
334  cms.PSet( name = cms.string("Jet_energyRing_dR4_neut_Jet_rawEnergy")),
335  cms.PSet( name = cms.string("Jet_energyRing_dR0_ch_Jet_rawEnergy")),
336  cms.PSet( name = cms.string("Jet_energyRing_dR1_ch_Jet_rawEnergy")),
337  cms.PSet( name = cms.string("Jet_energyRing_dR2_ch_Jet_rawEnergy")),
338  cms.PSet( name = cms.string("Jet_energyRing_dR3_ch_Jet_rawEnergy")),
339  cms.PSet( name = cms.string("Jet_energyRing_dR4_ch_Jet_rawEnergy")),
340  cms.PSet( name = cms.string("Jet_energyRing_dR0_mu_Jet_rawEnergy")),
341  cms.PSet( name = cms.string("Jet_energyRing_dR1_mu_Jet_rawEnergy")),
342  cms.PSet( name = cms.string("Jet_energyRing_dR2_mu_Jet_rawEnergy")),
343  cms.PSet( name = cms.string("Jet_energyRing_dR3_mu_Jet_rawEnergy")),
344  cms.PSet( name = cms.string("Jet_energyRing_dR4_mu_Jet_rawEnergy")),
345  ),
346  inputTensorName = cms.string("ffwd_inp:0"),
347  outputTensorName = cms.string("ffwd_out/BiasAdd:0"),
348  outputNames = cms.vstring(["corr","res"]),
349  outputFormulas = cms.vstring(["at(0)*0.24325256049633026+0.993854820728302","0.5*(at(2)-at(1))*0.24325256049633026"]),
350 )
351 
352 
353 run2_jme_2016.toModify(
354  bjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2016.onnx")
355 ).toModify(
356  bjetNN,outputFormulas = cms.vstring(["at(0)*0.31976690888404846+1.047176718711853","0.5*(at(2)-at(1))*0.31976690888404846"])
357 ).toModify(
358  cjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2016.onnx")
359 ).toModify(
360  cjetNN, outputFormulas = cms.vstring(["at(0)*0.28862622380256653+0.9908722639083862","0.5*(at(2)-at(1))*0.28862622380256653"])
361 )
362 
363 run2_jme_2017.toModify(
364  bjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2017.onnx")
365 ).toModify(
366  bjetNN,outputFormulas = cms.vstring(["at(0)*0.28225210309028625+1.055067777633667","0.5*(at(2)-at(1))*0.28225210309028625"])
367 ).toModify(
368  cjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2017.onnx")
369 ).toModify(
370  cjetNN, outputFormulas = cms.vstring(["at(0)*0.24718524515628815+0.9927206635475159","0.5*(at(2)-at(1))*0.24718524515628815"])
371 )
372 
373 
374 #
375 # Quark-Gluon Likelihood (QGL)
376 #
377 from RecoJets.JetProducers.QGTagger_cfi import QGTagger
378 qgtagger=QGTagger.clone(srcJets="updatedJets",srcVertexCollection="offlineSlimmedPrimaryVertices")
379 
380 #
381 # PileUp ID
382 #
383 from RecoJets.JetProducers.PileupJetID_cfi import pileupJetId, _chsalgos_106X_UL16, _chsalgos_106X_UL16APV, _chsalgos_106X_UL17, _chsalgos_106X_UL18
384 pileupJetIdNano=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL18),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
385 run2_jme_2017.toModify(
386  pileupJetIdNano, algos = _chsalgos_106X_UL17
387 )
388 (run2_jme_2016 & ~tracker_apv_vfp30_2016 ).toModify(
389  pileupJetIdNano, algos = _chsalgos_106X_UL16
390 )
391 (run2_jme_2016 & tracker_apv_vfp30_2016 ).toModify(
392  pileupJetIdNano, algos = _chsalgos_106X_UL16APV
393 )
394 
395 
399 from PhysicsTools.PatAlgos.tools.jetTools import updateJetCollection
400 def nanoAOD_addDeepInfoAK4CHS(process,addDeepBTag,addDeepFlavour,addParticleNet,addRobustParTAK4=False,addUnifiedParTAK4=False):
401  _btagDiscriminators=[]
402  if addDeepBTag:
403  print("Updating process to run DeepCSV btag")
404  _btagDiscriminators += ['pfDeepCSVJetTags:probb','pfDeepCSVJetTags:probbb','pfDeepCSVJetTags:probc']
405  if addDeepFlavour:
406  print("Updating process to run DeepFlavour btag")
407  _btagDiscriminators += ['pfDeepFlavourJetTags:probb','pfDeepFlavourJetTags:probbb','pfDeepFlavourJetTags:problepb','pfDeepFlavourJetTags:probc']
408  if addParticleNet:
409  print("Updating process to run ParticleNetAK4")
410  from RecoBTag.ONNXRuntime.pfParticleNetFromMiniAODAK4_cff import _pfParticleNetFromMiniAODAK4CHSCentralJetTagsAll as pfParticleNetFromMiniAODAK4CHSCentralJetTagsAll
411  from RecoBTag.ONNXRuntime.pfParticleNetFromMiniAODAK4_cff import _pfParticleNetFromMiniAODAK4CHSForwardJetTagsAll as pfParticleNetFromMiniAODAK4CHSForwardJetTagsAll
412  _btagDiscriminators += pfParticleNetFromMiniAODAK4CHSCentralJetTagsAll
413  _btagDiscriminators += pfParticleNetFromMiniAODAK4CHSForwardJetTagsAll
414  if addRobustParTAK4:
415  print("Updating process to run RobustParTAK4")
416  from RecoBTag.ONNXRuntime.pfParticleTransformerAK4_cff import _pfParticleTransformerAK4JetTagsAll as pfParticleTransformerAK4JetTagsAll
417  _btagDiscriminators += pfParticleTransformerAK4JetTagsAll
418  if addUnifiedParTAK4:
419  print("Updating process to run UnifiedParTAK4")
420  from RecoBTag.ONNXRuntime.pfUnifiedParticleTransformerAK4_cff import _pfUnifiedParticleTransformerAK4JetTagsAll as pfUnifiedParticleTransformerAK4JetTagsAll
421  _btagDiscriminators += pfUnifiedParticleTransformerAK4JetTagsAll
422 
423  if len(_btagDiscriminators)==0: return process
424  print("Will recalculate the following discriminators: "+", ".join(_btagDiscriminators))
425  updateJetCollection(
426  process,
427  jetSource = cms.InputTag('slimmedJets'),
428  jetCorrections = ('AK4PFchs', cms.vstring(['L1FastJet', 'L2Relative', 'L3Absolute','L2L3Residual']), 'None'),
429  btagDiscriminators = _btagDiscriminators,
430  postfix = 'WithDeepInfo',
431  )
432  process.load("Configuration.StandardSequences.MagneticField_cff")
433  process.jetCorrFactorsNano.src="selectedUpdatedPatJetsWithDeepInfo"
434  process.updatedJets.jetSource="selectedUpdatedPatJetsWithDeepInfo"
435  return process
436 
437 nanoAOD_addDeepInfoAK4CHS_switch = cms.PSet(
438  nanoAOD_addDeepBTag_switch = cms.untracked.bool(False),
439  nanoAOD_addDeepFlavourTag_switch = cms.untracked.bool(False),
440  nanoAOD_addParticleNet_switch = cms.untracked.bool(False),
441  nanoAOD_addRobustParTAK4Tag_switch = cms.untracked.bool(False),
442  nanoAOD_addUnifiedParTAK4Tag_switch = cms.untracked.bool(False)
443 )
444 
445 
448 
449 #
450 # ML-based FastSim refinement
451 #
452 from Configuration.Eras.Modifier_fastSim_cff import fastSim
453 def nanoAOD_refineFastSim_bTagDeepFlav(process):
454 
455  fastSim.toModify( process.jetTable.variables,
456  btagDeepFlavBunrefined = process.jetTable.variables.btagDeepFlavB.clone(),
457  btagDeepFlavCvBunrefined = process.jetTable.variables.btagDeepFlavCvB.clone(),
458  btagDeepFlavCvLunrefined = process.jetTable.variables.btagDeepFlavCvL.clone(),
459  btagDeepFlavQGunrefined = process.jetTable.variables.btagDeepFlavQG.clone(),
460  )
461 
462  fastSim.toModify( process.jetTable.variables,
463  btagDeepFlavB = None,
464  btagDeepFlavCvB = None,
465  btagDeepFlavCvL = None,
466  btagDeepFlavQG = None,
467  )
468 
469  fastSim.toModify( process.jetTable.externalVariables,
470  btagDeepFlavB = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavBrefined"), float, doc="DeepJet b+bb+lepb tag discriminator", precision=10),
471  btagDeepFlavCvB = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavCvBrefined"), float, doc="DeepJet c vs b+bb+lepb discriminator", precision=10),
472  btagDeepFlavCvL = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavCvLrefined"), float, doc="DeepJet c vs uds+g discriminator", precision=10),
473  btagDeepFlavQG = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavQGrefined"), float, doc="DeepJet g vs uds discriminator", precision=10),
474  )
475 
476  process.btagDeepFlavRefineNN= cms.EDProducer("JetBaseMVAValueMapProducer",
477  backend = cms.string("ONNX"),
478  batch_eval = cms.bool(True),
479  disableONNXGraphOpt = cms.bool(True),
480 
481  src = cms.InputTag("linkedObjects","jets"),
482 
483  weightFile=cms.FileInPath("PhysicsTools/NanoAOD/data/btagDeepFlavRefineNN_CHS.onnx"),
484  name = cms.string("btagDeepFlavRefineNN"),
485 
486  variables = cms.VPSet(
487  cms.PSet( name = cms.string("GenJet_pt"), expr = cms.string("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().pt():pt")),
488  cms.PSet( name = cms.string("GenJet_eta"), expr = cms.string("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().eta():eta")),
489  cms.PSet( name = cms.string("Jet_hadronFlavour"), expr = cms.string("hadronFlavour()")),
490  cms.PSet( name = cms.string("Jet_btagDeepFlavB"), expr = cms.string("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')")),
491  cms.PSet( name = cms.string("Jet_btagDeepFlavCvB"), expr = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')):-1")),
492  cms.PSet( name = cms.string("Jet_btagDeepFlavCvL"), expr = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg')):-1")),
493  cms.PSet( name = cms.string("Jet_btagDeepFlavQG"), expr = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds'))>0?bDiscriminator('pfDeepFlavourJetTags:probg')/(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds')):-1")),
494  ),
495  inputTensorName = cms.string("input"),
496  outputTensorName = cms.string("output"),
497  outputNames = cms.vstring(["btagDeepFlavBrefined","btagDeepFlavCvBrefined","btagDeepFlavCvLrefined","btagDeepFlavQGrefined"]),
498  outputFormulas = cms.vstring(["at(0)","at(1)","at(2)","at(3)"]),
499  )
500 
501  fastSim.toModify(process.jetTablesTask, process.jetTablesTask.add(process.btagDeepFlavRefineNN))
502 
503  return process
504 
505 
506 
509 basicJetsForMetForT1METNano = cms.EDProducer("PATJetCleanerForType1MET",
510  src = updatedJetsWithUserData.src,
511  jetCorrEtaMax = cms.double(9.9),
512  jetCorrLabel = cms.InputTag("L3Absolute"),
513  jetCorrLabelRes = cms.InputTag("L2L3Residual"),
514  offsetCorrLabel = cms.InputTag("L1FastJet"),
515  skipEM = cms.bool(False),
516  skipEMfractionThreshold = cms.double(0.9),
517  skipMuonSelection = cms.string('isGlobalMuon | isStandAloneMuon'),
518  skipMuons = cms.bool(True),
519  type1JetPtThreshold = cms.double(0.0),
520  calcMuonSubtrRawPtAsValueMap = cms.bool(True)
521 )
522 
523 updatedJetsWithUserData.userFloats.muonSubtrRawPt = cms.InputTag("basicJetsForMetForT1METNano:MuonSubtrRawPt")
524 
525 corrT1METJetTable = simplePATJetFlatTableProducer.clone(
526  src = finalJets.src,
527  cut = cms.string("pt<15 && abs(eta)<9.9"),
528  name = cms.string("CorrT1METJet"),
529  doc = cms.string("Additional low-pt ak4 CHS jets for Type-1 MET re-correction"),
530  variables = cms.PSet(
531  rawPt = Var("pt()*jecFactor('Uncorrected')",float,precision=10),
532  eta = Var("eta", float,precision=12),
533  phi = Var("phi", float, precision=12),
534  area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
535  EmEF = Var("chargedEmEnergyFraction()+neutralEmEnergyFraction()", float, doc="charged+neutral Electromagnetic Energy Fraction", precision=6),
536  )
537 )
538 
539 corrT1METJetTable.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6)
540 jetTable.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6)
541 
542 jetForMETTask = cms.Task(basicJetsForMetForT1METNano,corrT1METJetTable)
543 
544 #before cross linking
545 jetUserDataTask = cms.Task(bJetVars,qgtagger,jercVars,tightJetId,tightJetIdLepVeto,pileupJetIdNano)
546 
547 #before cross linking
548 jetTask = cms.Task(jetCorrFactorsNano,updatedJets,jetUserDataTask,updatedJetsWithUserData,finalJets)
549 
550 #after cross linkining
551 jetTablesTask = cms.Task(bjetNN,cjetNN,jetTable)
common_cff.Var
def Var(expr, valtype, doc=None, precision=-1, lazyEval=False)
Definition: common_cff.py:17
PileupJetID_cfi
pfUnifiedParticleTransformerAK4_cff
common_cff.ExtVar
def ExtVar(tag, valtype, doc=None, precision=-1)
Definition: common_cff.py:28
QGTagger_cfi
nano_eras_cff
jetsAK4_CHS_cff.nanoAOD_refineFastSim_bTagDeepFlav
def nanoAOD_refineFastSim_bTagDeepFlav(process)
Definition: jetsAK4_CHS_cff.py:453
jetCorrFactors_cfi
User floats producers, selectors ##########################.
jetUpdater_cfi
print
void print(TMatrixD &m, const char *label=nullptr, bool mathematicaFormat=false)
Definition: Utilities.cc:47
join
static std::string join(char **cmd)
Definition: RemoteFile.cc:21
pfParticleTransformerAK4_cff
jetsAK4_CHS_cff.nanoAOD_addDeepInfoAK4CHS
def nanoAOD_addDeepInfoAK4CHS(process, addDeepBTag, addDeepFlavour, addParticleNet, addRobustParTAK4=False, addUnifiedParTAK4=False)
Definition: jetsAK4_CHS_cff.py:400
common_cff
Generated for CMSSW Reference Manual by doxygen 1.8.14