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jets_cff.py
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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 RecoJets.JetProducers.ak4PFJetsBetaStar_cfi import *
6 
7 
8 
9 from RecoJets.JetProducers.ak4PFJets_cfi import ak4PFJets
10 
11 chsForSATkJets = cms.EDFilter("CandPtrSelector", src = cms.InputTag("packedPFCandidates"), cut = cms.string('charge()!=0 && pvAssociationQuality()>=5 && vertexRef().key()==0'))
12 softActivityJets = ak4PFJets.clone(src = 'chsForSATkJets', doAreaFastjet = False, jetPtMin=1)
13 softActivityJets10 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>10'))
14 softActivityJets5 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>5'))
15 softActivityJets2 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>2'))
16 
17 from PhysicsTools.PatAlgos.recoLayer0.jetCorrFactors_cfi import *
18 # Note: Safe to always add 'L2L3Residual' as MC contains dummy L2L3Residual corrections (always set to 1)
19 # (cf. https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#CMSSW_7_6_4_and_above )
20 jetCorrFactorsNano = patJetCorrFactors.clone(src='slimmedJets',
21  levels = cms.vstring('L1FastJet',
22  'L2Relative',
23  'L3Absolute',
24  'L2L3Residual'),
25  primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
26 )
27 jetCorrFactorsAK8 = patJetCorrFactors.clone(src='slimmedJetsAK8',
28  levels = cms.vstring('L1FastJet',
29  'L2Relative',
30  'L3Absolute',
31  'L2L3Residual'),
32  payload = cms.string('AK8PFPuppi'),
33  primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
34 )
35 run2_miniAOD_80XLegacy.toModify(jetCorrFactorsAK8, payload = cms.string('AK8PFchs')) # ak8PFJetsCHS in 2016 80X miniAOD
36 
37 from PhysicsTools.PatAlgos.producersLayer1.jetUpdater_cfi import *
38 
39 updatedJets = updatedPatJets.clone(
40  addBTagInfo=False,
41  jetSource='slimmedJets',
42  jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetCorrFactorsNano") ),
43 )
44 
45 updatedJetsAK8 = updatedPatJets.clone(
46  addBTagInfo=False,
47  jetSource='slimmedJetsAK8',
48  jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetCorrFactorsAK8") ),
49 )
50 
51 
52 looseJetId = cms.EDProducer("PatJetIDValueMapProducer",
53  filterParams=cms.PSet(
54  version = cms.string('WINTER16'),
55  quality = cms.string('LOOSE'),
56  ),
57  src = cms.InputTag("updatedJets")
58 )
59 tightJetId = cms.EDProducer("PatJetIDValueMapProducer",
60  filterParams=cms.PSet(
61  version = cms.string('RUN2ULCHS'),
62  quality = cms.string('TIGHT'),
63  ),
64  src = cms.InputTag("updatedJets")
65 )
66 tightJetIdLepVeto = cms.EDProducer("PatJetIDValueMapProducer",
67  filterParams=cms.PSet(
68  version = cms.string('RUN2ULCHS'),
69  quality = cms.string('TIGHTLEPVETO'),
70  ),
71  src = cms.InputTag("updatedJets")
72 )
73 run2_jme_2016.toModify( tightJetId.filterParams, version = "RUN2UL16CHS" )
74 run2_jme_2016.toModify( tightJetIdLepVeto.filterParams, version = "RUN2UL16CHS" )
75 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
76  modifier.toModify( tightJetId.filterParams, version = "WINTER16" )
77  modifier.toModify( tightJetIdLepVeto.filterParams, version = "WINTER16" )
78 for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
79  modifier.toModify( tightJetId.filterParams, version = "WINTER17" )
80  modifier.toModify( tightJetIdLepVeto.filterParams, version = "WINTER17" )
81 run2_nanoAOD_102Xv1.toModify( tightJetId.filterParams, version = "SUMMER18" )
82 run2_nanoAOD_102Xv1.toModify( tightJetIdLepVeto.filterParams, version = "SUMMER18" )
83 
84 
85 looseJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
86  filterParams=cms.PSet(
87  version = cms.string('WINTER16'),
88  quality = cms.string('LOOSE'),
89  ),
90  src = cms.InputTag("updatedJetsAK8")
91 )
92 tightJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
93  filterParams=cms.PSet(
94  version = cms.string('RUN2ULPUPPI'),
95  quality = cms.string('TIGHT'),
96  ),
97  src = cms.InputTag("updatedJetsAK8")
98 )
99 tightJetIdLepVetoAK8 = cms.EDProducer("PatJetIDValueMapProducer",
100  filterParams=cms.PSet(
101  version = cms.string('RUN2ULPUPPI'),
102  quality = cms.string('TIGHTLEPVETO'),
103  ),
104  src = cms.InputTag("updatedJetsAK8")
105 )
106 run2_jme_2016.toModify( tightJetIdAK8.filterParams, version = "RUN2UL16PUPPI" )
107 run2_jme_2016.toModify( tightJetIdLepVetoAK8.filterParams, version = "RUN2UL16PUPPI" )
108 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
109  modifier.toModify( tightJetIdAK8.filterParams, version = "WINTER16" )
110  modifier.toModify( tightJetIdLepVetoAK8.filterParams, version = "WINTER16" )
111 for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
112  modifier.toModify( tightJetIdAK8.filterParams, version = "WINTER17PUPPI" )
113  modifier.toModify( tightJetIdLepVetoAK8.filterParams, version = "WINTER17PUPPI" )
114 run2_nanoAOD_102Xv1.toModify( tightJetIdAK8.filterParams, version = "SUMMER18PUPPI" )
115 run2_nanoAOD_102Xv1.toModify( tightJetIdLepVetoAK8.filterParams, version = "SUMMER18PUPPI" )
116 
117 
118 bJetVars = cms.EDProducer("JetRegressionVarProducer",
119  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
120  src = cms.InputTag("updatedJets"),
121  svsrc = cms.InputTag("slimmedSecondaryVertices"),
122  gpsrc = cms.InputTag("prunedGenParticles"),
123  #musrc = cms.InputTag("slimmedMuons"),
124  #elesrc = cms.InputTag("slimmedElectrons")
125 )
126 
127 jercVars = cms.EDProducer("BetaStarPackedCandidateVarProducer",
128  srcJet = cms.InputTag("updatedJets"),
129  srcPF = cms.InputTag("packedPFCandidates"),
130  maxDR = cms.double(0.4)
131 )
132 
133 updatedJetsWithUserData = cms.EDProducer("PATJetUserDataEmbedder",
134  src = cms.InputTag("updatedJets"),
135  userFloats = cms.PSet(
136  leadTrackPt = cms.InputTag("bJetVars:leadTrackPt"),
137  leptonPtRel = cms.InputTag("bJetVars:leptonPtRel"),
138  leptonPtRatio = cms.InputTag("bJetVars:leptonPtRatio"),
139  leptonPtRelInv = cms.InputTag("bJetVars:leptonPtRelInv"),
140  leptonPtRelv0 = cms.InputTag("bJetVars:leptonPtRelv0"),
141  leptonPtRatiov0 = cms.InputTag("bJetVars:leptonPtRatiov0"),
142  leptonPtRelInvv0 = cms.InputTag("bJetVars:leptonPtRelInvv0"),
143  leptonDeltaR = cms.InputTag("bJetVars:leptonDeltaR"),
144  leptonPt = cms.InputTag("bJetVars:leptonPt"),
145  vtxPt = cms.InputTag("bJetVars:vtxPt"),
146  vtxMass = cms.InputTag("bJetVars:vtxMass"),
147  vtx3dL = cms.InputTag("bJetVars:vtx3dL"),
148  vtx3deL = cms.InputTag("bJetVars:vtx3deL"),
149  ptD = cms.InputTag("bJetVars:ptD"),
150  genPtwNu = cms.InputTag("bJetVars:genPtwNu"),
151  qgl = cms.InputTag('qgtagger:qgLikelihood'),
152  puId94XDisc = cms.InputTag('pileupJetId94X:fullDiscriminant'),
153  puId102XDisc = cms.InputTag('pileupJetId102X:fullDiscriminant'),
154  puId106XUL16Disc = cms.InputTag('pileupJetId106XUL16:fullDiscriminant'),
155  puId106XUL16APVDisc = cms.InputTag('pileupJetId106XUL16APV:fullDiscriminant'),
156  puId106XUL17Disc = cms.InputTag('pileupJetId106XUL17:fullDiscriminant'),
157  puId106XUL18Disc = cms.InputTag('pileupJetId106XUL18:fullDiscriminant'),
158  chFPV0EF = cms.InputTag("jercVars:chargedFromPV0EnergyFraction"),
159  ),
160  userInts = cms.PSet(
161  tightId = cms.InputTag("tightJetId"),
162  tightIdLepVeto = cms.InputTag("tightJetIdLepVeto"),
163  vtxNtrk = cms.InputTag("bJetVars:vtxNtrk"),
164  leptonPdgId = cms.InputTag("bJetVars:leptonPdgId"),
165  puId106XUL16Id = cms.InputTag('pileupJetId106XUL16:fullId'),
166  puId106XUL16APVId = cms.InputTag('pileupJetId106XUL16APV:fullId'),
167  puId106XUL17Id = cms.InputTag('pileupJetId106XUL17:fullId'),
168  puId106XUL18Id = cms.InputTag('pileupJetId106XUL18:fullId'),
169  ),
170 )
171 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
172  modifier.toModify(updatedJetsWithUserData.userInts,
173  looseId = cms.InputTag("looseJetId"),
174  )
175 
176 updatedJetsAK8WithUserData = cms.EDProducer("PATJetUserDataEmbedder",
177  src = cms.InputTag("updatedJetsAK8"),
178  userInts = cms.PSet(
179  tightId = cms.InputTag("tightJetIdAK8"),
180  tightIdLepVeto = cms.InputTag("tightJetIdLepVetoAK8"),
181  ),
182 )
183 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
184  modifier.toModify(updatedJetsAK8WithUserData.userInts,
185  looseId = cms.InputTag("looseJetIdAK8"),
186  )
187 
188 
189 finalJets = cms.EDFilter("PATJetRefSelector",
190  src = cms.InputTag("updatedJetsWithUserData"),
191  cut = cms.string("pt > 15")
192 )
193 
194 finalJetsAK8 = cms.EDFilter("PATJetRefSelector",
195  src = cms.InputTag("updatedJetsAK8WithUserData"),
196  cut = cms.string("pt > 170")
197 )
198 
199 lepInJetVars = cms.EDProducer("LepInJetProducer",
200  src = cms.InputTag("updatedJetsAK8WithUserData"),
201  srcEle = cms.InputTag("finalElectrons"),
202  srcMu = cms.InputTag("finalMuons")
203 )
204 
205 
206 
207 
208 
209 
210 
211 jetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
212  src = cms.InputTag("linkedObjects","jets"),
213  cut = cms.string(""), #we should not filter on cross linked collections
214  name = cms.string("Jet"),
215  doc = cms.string("slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (" + finalJets.cut.value()+")"),
216  singleton = cms.bool(False), # the number of entries is variable
217  extension = cms.bool(False), # this is the main table for the jets
218  externalVariables = cms.PSet(
219  bRegCorr = ExtVar(cms.InputTag("bjetNN:corr"),float, doc="pt correction for b-jet energy regression",precision=10),
220  bRegRes = ExtVar(cms.InputTag("bjetNN:res"),float, doc="res on pt corrected with b-jet regression",precision=6),
221  cRegCorr = ExtVar(cms.InputTag("cjetNN:corr"),float, doc="pt correction for c-jet energy regression",precision=10),
222  cRegRes = ExtVar(cms.InputTag("cjetNN:res"),float, doc="res on pt corrected with c-jet regression",precision=6),
223  ),
224  variables = cms.PSet(P4Vars,
225  area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
226  nMuons = Var("?hasOverlaps('muons')?overlaps('muons').size():0", int, doc="number of muons in the jet"),
227  muonIdx1 = Var("?overlaps('muons').size()>0?overlaps('muons')[0].key():-1", int, doc="index of first matching muon"),
228  muonIdx2 = Var("?overlaps('muons').size()>1?overlaps('muons')[1].key():-1", int, doc="index of second matching muon"),
229  electronIdx1 = Var("?overlaps('electrons').size()>0?overlaps('electrons')[0].key():-1", int, doc="index of first matching electron"),
230  electronIdx2 = Var("?overlaps('electrons').size()>1?overlaps('electrons')[1].key():-1", int, doc="index of second matching electron"),
231  nElectrons = Var("?hasOverlaps('electrons')?overlaps('electrons').size():0", int, doc="number of electrons in the jet"),
232  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),
233  btagDeepFlavB = Var("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')",float,doc="DeepJet b+bb+lepb tag discriminator",precision=10),
234  btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
235  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),
236  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),
237  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),
238  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),
239  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),
240  puIdDisc = Var("userFloat('puId106XUL18Disc')", float,doc="Pileup ID discriminant with 106X (2018) training",precision=10),
241  puId = Var("userInt('puId106XUL18Id')", int,doc="Pileup ID flags with 106X (2018) training"),
242  jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
243  qgl = Var("?userFloat('qgl')>0?userFloat('qgl'):-1",float,doc="Quark vs Gluon likelihood discriminator",precision=10),
244  hfsigmaEtaEta = Var("userFloat('hfJetShowerShape:sigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10),
245  hfsigmaPhiPhi = Var("userFloat('hfJetShowerShape:sigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10),
246  hfcentralEtaStripSize = Var("userInt('hfJetShowerShape:centralEtaStripSize')", int, doc="eta size of the central tower strip in HF (noise discriminating variable) "),
247  hfadjacentEtaStripsSize = Var("userInt('hfJetShowerShape:adjacentEtaStripsSize')", int, doc="eta size of the strips next to the central tower strip in HF (noise discriminating variable) "),
248  nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
249  rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
250  chHEF = Var("chargedHadronEnergyFraction()", float, doc="charged Hadron Energy Fraction", precision= 6),
251  neHEF = Var("neutralHadronEnergyFraction()", float, doc="neutral Hadron Energy Fraction", precision= 6),
252  chEmEF = Var("chargedEmEnergyFraction()", float, doc="charged Electromagnetic Energy Fraction", precision= 6),
253  neEmEF = Var("neutralEmEnergyFraction()", float, doc="neutral Electromagnetic Energy Fraction", precision= 6),
254  muEF = Var("muonEnergyFraction()", float, doc="muon Energy Fraction", precision= 6),
255  chFPV0EF = Var("userFloat('chFPV0EF')", float, doc="charged fromPV==0 Energy Fraction (energy excluded from CHS jets). Previously called betastar.", precision= 6),
256  )
257 )
258 
259 #jets are not as precise as muons
260 jetTable.variables.pt.precision=10
261 
262 
263 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1, run2_nanoAOD_106Xv1:
264  # Deprecated after 106X
265  modifier.toModify(jetTable.variables,
266  btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
267  btagDeepC = Var("bDiscriminator('pfDeepCSVJetTags:probc')",float,doc="DeepCSV charm btag discriminator",precision=10),
268  btagDeepFlavC = Var("bDiscriminator('pfDeepFlavourJetTags:probc')",float,doc="DeepFlavour charm tag discriminator",precision=10),
269  )
270 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
271  modifier.toModify( jetTable.variables, jetId = Var("userInt('tightIdLepVeto')*4+userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight, bit3 is tightLepVeto"))
272 run2_nanoAOD_102Xv1.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId102XDisc')",float,doc="Pileup ID discriminant with 102X (2018) training",precision=10) )
273 run2_nanoAOD_102Xv1.toModify( jetTable.variables, puId = Var("userInt('pileupJetId:fullId')",int,doc="Pileup ID flags for pre-UL trainings") )
274 (run2_jme_2016 & ~tracker_apv_vfp30_2016 ).toModify( jetTable.variables, puId = Var("userInt('puId106XUL16Id')",int,doc="Pileup ID flags with 106X (2016) training"))
275 (run2_jme_2016 & ~tracker_apv_vfp30_2016 ).toModify( jetTable.variables, puIdDisc = Var("userFloat('puId106XUL16Disc')",float,doc="Pileup ID discriminant with 106X (2016) training",precision=10))
276 (run2_jme_2016 & tracker_apv_vfp30_2016 ).toModify( jetTable.variables, puId = Var("userInt('puId106XUL16APVId')",int,doc="Pileup ID flags with 106X (2016APV) training"))
277 (run2_jme_2016 & tracker_apv_vfp30_2016 ).toModify( jetTable.variables, puIdDisc = Var("userFloat('puId106XUL16APVDisc')",float,doc="Pileup ID discriminant with 106X (2016APV) training",precision=10))
278 run2_jme_2017.toModify( jetTable.variables, puId = Var("userInt('puId106XUL17Id')", int,doc="Pileup ID flags with 106X (2017) training"))
279 run2_jme_2017.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId106XUL17Disc')", float,doc="Pileup ID discriminant with 106X (2017) training",precision=10))
280 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
281  modifier.toModify( jetTable.variables, puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pileup ID discriminant with 80X (2016) training",precision=10))
282  modifier.toModify( jetTable.variables, puId = Var("userInt('pileupJetId:fullId')",int,doc="Pileup ID flags for pre-UL trainings"))
283 for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
284  modifier.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId94XDisc')", float,doc="Pileup ID discriminant with 94X (2017) training",precision=10))
285  modifier.toModify( jetTable.variables, puId = Var("userInt('pileupJetId:fullId')",int,doc="Pileup ID flags for 2016/2017/2018 EOY trainings"))
286 
287 
288 bjetNN= cms.EDProducer("BJetEnergyRegressionMVA",
289  backend = cms.string("TF"),
290  src = cms.InputTag("linkedObjects","jets"),
291  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
292  svsrc = cms.InputTag("slimmedSecondaryVertices"),
293  rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
294 
295  weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2018.pb"),
296  name = cms.string("JetRegNN"),
297  isClassifier = cms.bool(False),
298  variablesOrder = cms.vstring(["Jet_pt","Jet_eta","rho","Jet_mt","Jet_leadTrackPt","Jet_leptonPtRel","Jet_leptonDeltaR","Jet_neHEF",
299  "Jet_neEmEF","Jet_vtxPt","Jet_vtxMass","Jet_vtx3dL","Jet_vtxNtrk","Jet_vtx3deL",
300  "Jet_numDaughters_pt03","Jet_energyRing_dR0_em_Jet_rawEnergy","Jet_energyRing_dR1_em_Jet_rawEnergy",
301  "Jet_energyRing_dR2_em_Jet_rawEnergy","Jet_energyRing_dR3_em_Jet_rawEnergy","Jet_energyRing_dR4_em_Jet_rawEnergy",
302  "Jet_energyRing_dR0_neut_Jet_rawEnergy","Jet_energyRing_dR1_neut_Jet_rawEnergy","Jet_energyRing_dR2_neut_Jet_rawEnergy",
303  "Jet_energyRing_dR3_neut_Jet_rawEnergy","Jet_energyRing_dR4_neut_Jet_rawEnergy","Jet_energyRing_dR0_ch_Jet_rawEnergy",
304  "Jet_energyRing_dR1_ch_Jet_rawEnergy","Jet_energyRing_dR2_ch_Jet_rawEnergy","Jet_energyRing_dR3_ch_Jet_rawEnergy",
305  "Jet_energyRing_dR4_ch_Jet_rawEnergy","Jet_energyRing_dR0_mu_Jet_rawEnergy","Jet_energyRing_dR1_mu_Jet_rawEnergy",
306  "Jet_energyRing_dR2_mu_Jet_rawEnergy","Jet_energyRing_dR3_mu_Jet_rawEnergy","Jet_energyRing_dR4_mu_Jet_rawEnergy",
307  "Jet_chHEF","Jet_chEmEF","Jet_leptonPtRelInv","isEle","isMu","isOther","Jet_mass","Jet_ptd"]),
308  variables = cms.PSet(
309  Jet_pt = cms.string("pt*jecFactor('Uncorrected')"),
310  Jet_mt = cms.string("mt*jecFactor('Uncorrected')"),
311  Jet_eta = cms.string("eta"),
312  Jet_mass = cms.string("mass*jecFactor('Uncorrected')"),
313  Jet_ptd = cms.string("userFloat('ptD')"),
314  Jet_leadTrackPt = cms.string("userFloat('leadTrackPt')"),
315  Jet_vtxNtrk = cms.string("userInt('vtxNtrk')"),
316  Jet_vtxMass = cms.string("userFloat('vtxMass')"),
317  Jet_vtx3dL = cms.string("userFloat('vtx3dL')"),
318  Jet_vtx3deL = cms.string("userFloat('vtx3deL')"),
319  Jet_vtxPt = cms.string("userFloat('vtxPt')"),
320  #Jet_leptonPt = cms.string("userFloat('leptonPt')"),
321  Jet_leptonPtRel = cms.string("userFloat('leptonPtRelv0')"),
322  Jet_leptonPtRelInv = cms.string("userFloat('leptonPtRelInvv0')*jecFactor('Uncorrected')"),
323  Jet_leptonDeltaR = cms.string("userFloat('leptonDeltaR')"),
324  #Jet_leptonPdgId = cms.string("userInt('leptonPdgId')"),
325  Jet_neHEF = cms.string("neutralHadronEnergyFraction()"),
326  Jet_neEmEF = cms.string("neutralEmEnergyFraction()"),
327  Jet_chHEF = cms.string("chargedHadronEnergyFraction()"),
328  Jet_chEmEF = cms.string("chargedEmEnergyFraction()"),
329  isMu = cms.string("?abs(userInt('leptonPdgId'))==13?1:0"),
330  isEle = cms.string("?abs(userInt('leptonPdgId'))==11?1:0"),
331  isOther = cms.string("?userInt('leptonPdgId')==0?1:0"),
332  ),
333  inputTensorName = cms.string("ffwd_inp"),
334  outputTensorName = cms.string("ffwd_out/BiasAdd"),
335  outputNames = cms.vstring(["corr","res"]),
336  outputFormulas = cms.vstring(["at(0)*0.27912887930870056+1.0545977354049683","0.5*(at(2)-at(1))*0.27912887930870056"]),
337  nThreads = cms.uint32(1),
338  singleThreadPool = cms.string("no_threads"),
339 )
340 
341 cjetNN= cms.EDProducer("BJetEnergyRegressionMVA",
342  backend = cms.string("TF"),
343  src = cms.InputTag("linkedObjects","jets"),
344  pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
345  svsrc = cms.InputTag("slimmedSecondaryVertices"),
346  rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
347 
348  weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2018.pb"),
349  name = cms.string("JetRegNN"),
350  isClassifier = cms.bool(False),
351  variablesOrder = cms.vstring(["Jet_pt","Jet_eta","rho","Jet_mt","Jet_leadTrackPt","Jet_leptonPtRel","Jet_leptonDeltaR",
352  "Jet_neHEF","Jet_neEmEF","Jet_vtxPt","Jet_vtxMass","Jet_vtx3dL","Jet_vtxNtrk","Jet_vtx3deL",
353  "Jet_numDaughters_pt03","Jet_chEmEF","Jet_chHEF", "Jet_ptd","Jet_mass",
354  "Jet_energyRing_dR0_em_Jet_rawEnergy","Jet_energyRing_dR1_em_Jet_rawEnergy",
355  "Jet_energyRing_dR2_em_Jet_rawEnergy","Jet_energyRing_dR3_em_Jet_rawEnergy","Jet_energyRing_dR4_em_Jet_rawEnergy",
356  "Jet_energyRing_dR0_neut_Jet_rawEnergy","Jet_energyRing_dR1_neut_Jet_rawEnergy","Jet_energyRing_dR2_neut_Jet_rawEnergy",
357  "Jet_energyRing_dR3_neut_Jet_rawEnergy","Jet_energyRing_dR4_neut_Jet_rawEnergy","Jet_energyRing_dR0_ch_Jet_rawEnergy",
358  "Jet_energyRing_dR1_ch_Jet_rawEnergy","Jet_energyRing_dR2_ch_Jet_rawEnergy","Jet_energyRing_dR3_ch_Jet_rawEnergy",
359  "Jet_energyRing_dR4_ch_Jet_rawEnergy","Jet_energyRing_dR0_mu_Jet_rawEnergy","Jet_energyRing_dR1_mu_Jet_rawEnergy",
360  "Jet_energyRing_dR2_mu_Jet_rawEnergy","Jet_energyRing_dR3_mu_Jet_rawEnergy","Jet_energyRing_dR4_mu_Jet_rawEnergy"]),
361  variables = cms.PSet(
362  Jet_pt = cms.string("pt*jecFactor('Uncorrected')"),
363  Jet_mt = cms.string("mt*jecFactor('Uncorrected')"),
364  Jet_eta = cms.string("eta"),
365  Jet_mass = cms.string("mass*jecFactor('Uncorrected')"),
366  Jet_ptd = cms.string("userFloat('ptD')"),
367  Jet_leadTrackPt = cms.string("userFloat('leadTrackPt')"),
368  Jet_vtxNtrk = cms.string("userInt('vtxNtrk')"),
369  Jet_vtxMass = cms.string("userFloat('vtxMass')"),
370  Jet_vtx3dL = cms.string("userFloat('vtx3dL')"),
371  Jet_vtx3deL = cms.string("userFloat('vtx3deL')"),
372  Jet_vtxPt = cms.string("userFloat('vtxPt')"),
373  #Jet_leptonPt = cms.string("userFloat('leptonPt')"),
374  Jet_leptonPtRel = cms.string("userFloat('leptonPtRelv0')"),
375  Jet_leptonPtRelInv = cms.string("userFloat('leptonPtRelInvv0')*jecFactor('Uncorrected')"),
376  Jet_leptonDeltaR = cms.string("userFloat('leptonDeltaR')"),
377  #Jet_leptonPdgId = cms.string("userInt('leptonPdgId')"),
378  Jet_neHEF = cms.string("neutralHadronEnergyFraction()"),
379  Jet_neEmEF = cms.string("neutralEmEnergyFraction()"),
380  Jet_chHEF = cms.string("chargedHadronEnergyFraction()"),
381  Jet_chEmEF = cms.string("chargedEmEnergyFraction()"),
382  isMu = cms.string("?abs(userInt('leptonPdgId'))==13?1:0"),
383  isEle = cms.string("?abs(userInt('leptonPdgId'))==11?1:0"),
384  isOther = cms.string("?userInt('leptonPdgId')==0?1:0"),
385  ),
386  inputTensorName = cms.string("ffwd_inp"),
387  outputTensorName = cms.string("ffwd_out/BiasAdd"),
388  outputNames = cms.vstring(["corr","res"]),
389  outputFormulas = cms.vstring(["at(0)*0.24325256049633026+0.993854820728302","0.5*(at(2)-at(1))*0.24325256049633026"]),
390  nThreads = cms.uint32(1),
391  singleThreadPool = cms.string("no_threads"),
392 )
393 
394 
395 
396 saJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
397  src = cms.InputTag("softActivityJets"),
398  cut = cms.string(""),
399  maxLen = cms.uint32(6),
400  name = cms.string("SoftActivityJet"),
401  doc = cms.string("jets clustered from charged candidates compatible with primary vertex (" + chsForSATkJets.cut.value()+")"),
402  singleton = cms.bool(False), # the number of entries is variable
403  extension = cms.bool(False), # this is the main table for the jets
404  variables = cms.PSet(P3Vars,
405  )
406 )
407 
408 saJetTable.variables.pt.precision=10
409 saJetTable.variables.eta.precision=8
410 saJetTable.variables.phi.precision=8
411 
412 saTable = cms.EDProducer("GlobalVariablesTableProducer",
413  variables = cms.PSet(
414  SoftActivityJetHT = ExtVar( cms.InputTag("softActivityJets"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt>1" ),
415  SoftActivityJetHT10 = ExtVar( cms.InputTag("softActivityJets10"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt , pt >10" ),
416  SoftActivityJetHT5 = ExtVar( cms.InputTag("softActivityJets5"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt>5" ),
417  SoftActivityJetHT2 = ExtVar( cms.InputTag("softActivityJets2"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt >2" ),
418  SoftActivityJetNjets10 = ExtVar( cms.InputTag("softActivityJets10"), "candidatesize", doc = "number of soft activity jet pt, pt >2" ),
419  SoftActivityJetNjets5 = ExtVar( cms.InputTag("softActivityJets5"), "candidatesize", doc = "number of soft activity jet pt, pt >5" ),
420  SoftActivityJetNjets2 = ExtVar( cms.InputTag("softActivityJets2"), "candidatesize", doc = "number of soft activity jet pt, pt >10" ),
421 
422  )
423 )
424 
425 
426 
427 
428 fatJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
429  src = cms.InputTag("finalJetsAK8"),
430  cut = cms.string(" pt > 170"), #probably already applied in miniaod
431  name = cms.string("FatJet"),
432  doc = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
433  singleton = cms.bool(False), # the number of entries is variable
434  extension = cms.bool(False), # this is the main table for the jets
435  variables = cms.PSet(P4Vars,
436  jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
437  area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
438  rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
439  tau1 = Var("userFloat('NjettinessAK8Puppi:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
440  tau2 = Var("userFloat('NjettinessAK8Puppi:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
441  tau3 = Var("userFloat('NjettinessAK8Puppi:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
442  tau4 = Var("userFloat('NjettinessAK8Puppi:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
443  n2b1 = Var("?hasUserFloat('nb1AK8PuppiSoftDrop:ecfN2')?userFloat('nb1AK8PuppiSoftDrop:ecfN2'):-99999.", float, doc="N2 with beta=1 (for jets with raw pT>250 GeV)", precision=10),
444  n3b1 = Var("?hasUserFloat('nb1AK8PuppiSoftDrop:ecfN3')?userFloat('nb1AK8PuppiSoftDrop:ecfN3'):-99999.", float, doc="N3 with beta=1 (for jets with raw pT>250 GeV)", precision=10),
445  msoftdrop = Var("groomedMass('SoftDropPuppi')",float, doc="Corrected soft drop mass with PUPPI",precision=10),
446  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),
447  btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
448  btagHbb = Var("bDiscriminator('pfBoostedDoubleSecondaryVertexAK8BJetTags')",float,doc="Higgs to BB tagger discriminator",precision=10),
449  btagDDBvLV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleBvLV2JetTags:probHbb')",float,doc="DeepDoubleX V2(mass-decorrelated) discriminator for H(Z)->bb vs QCD",precision=10),
450  btagDDCvLV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleCvLV2JetTags:probHcc')",float,doc="DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs QCD",precision=10),
451  btagDDCvBV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleCvBV2JetTags:probHcc')",float,doc="DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb",precision=10),
452  deepTag_TvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:TvsQCD')",float,doc="DeepBoostedJet tagger top vs QCD discriminator",precision=10),
453  deepTag_WvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:WvsQCD')",float,doc="DeepBoostedJet tagger W vs QCD discriminator",precision=10),
454  deepTag_ZvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:ZvsQCD')",float,doc="DeepBoostedJet tagger Z vs QCD discriminator",precision=10),
455  deepTag_H = Var("bDiscriminator('pfDeepBoostedJetTags:probHbb')+bDiscriminator('pfDeepBoostedJetTags:probHcc')+bDiscriminator('pfDeepBoostedJetTags:probHqqqq')",float,doc="DeepBoostedJet tagger H(bb,cc,4q) sum",precision=10),
456  deepTag_QCD = Var("bDiscriminator('pfDeepBoostedJetTags:probQCDbb')+bDiscriminator('pfDeepBoostedJetTags:probQCDcc')+bDiscriminator('pfDeepBoostedJetTags:probQCDb')+bDiscriminator('pfDeepBoostedJetTags:probQCDc')+bDiscriminator('pfDeepBoostedJetTags:probQCDothers')",float,doc="DeepBoostedJet tagger QCD(bb,cc,b,c,others) sum",precision=10),
457  deepTag_QCDothers = Var("bDiscriminator('pfDeepBoostedJetTags:probQCDothers')",float,doc="DeepBoostedJet tagger QCDothers value",precision=10),
458  deepTagMD_TvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:TvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger top vs QCD discriminator",precision=10),
459  deepTagMD_WvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:WvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger W vs QCD discriminator",precision=10),
460  deepTagMD_ZvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z vs QCD discriminator",precision=10),
461  deepTagMD_ZHbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZHbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H->bb vs QCD discriminator",precision=10),
462  deepTagMD_ZbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z->bb vs QCD discriminator",precision=10),
463  deepTagMD_HbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:HbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger H->bb vs QCD discriminator",precision=10),
464  deepTagMD_ZHccvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZHccvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H->cc vs QCD discriminator",precision=10),
465  deepTagMD_H4qvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:H4qvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger H->4q vs QCD discriminator",precision=10),
466  deepTagMD_bbvsLight = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:bbvsLight')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->bb vs light flavour discriminator",precision=10),
467  deepTagMD_ccvsLight = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ccvsLight')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->cc vs light flavour discriminator",precision=10),
468  particleNet_TvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:TvsQCD')",float,doc="ParticleNet tagger top vs QCD discriminator",precision=10),
469  particleNet_WvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:WvsQCD')",float,doc="ParticleNet tagger W vs QCD discriminator",precision=10),
470  particleNet_ZvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:ZvsQCD')",float,doc="ParticleNet tagger Z vs QCD discriminator",precision=10),
471  particleNet_HbbvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:HbbvsQCD')",float,doc="ParticleNet tagger H(->bb) vs QCD discriminator",precision=10),
472  particleNet_HccvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:HccvsQCD')",float,doc="ParticleNet tagger H(->cc) vs QCD discriminator",precision=10),
473  particleNet_H4qvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:H4qvsQCD')",float,doc="ParticleNet tagger H(->VV->qqqq) vs QCD discriminator",precision=10),
474  particleNet_QCD = Var("bDiscriminator('pfParticleNetJetTags:probQCDbb')+bDiscriminator('pfParticleNetJetTags:probQCDcc')+bDiscriminator('pfParticleNetJetTags:probQCDb')+bDiscriminator('pfParticleNetJetTags:probQCDc')+bDiscriminator('pfParticleNetJetTags:probQCDothers')",float,doc="ParticleNet tagger QCD(bb,cc,b,c,others) sum",precision=10),
475  particleNet_mass = Var("bDiscriminator('pfParticleNetMassRegressionJetTags:mass')",float,doc="ParticleNet mass regression",precision=10),
476  particleNetMD_Xbb = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXbb')",float,doc="Mass-decorrelated ParticleNet tagger raw X->bb score. For X->bb vs QCD tagging, use Xbb/(Xbb+QCD)",precision=10),
477  particleNetMD_Xcc = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXcc')",float,doc="Mass-decorrelated ParticleNet tagger raw X->cc score. For X->cc vs QCD tagging, use Xcc/(Xcc+QCD)",precision=10),
478  particleNetMD_Xqq = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXqq')",float,doc="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)",precision=10),
479  particleNetMD_QCD = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDbb')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDcc')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDb')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDc')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDothers')",float,doc="Mass-decorrelated ParticleNet tagger raw QCD score",precision=10),
480  subJetIdx1 = Var("?nSubjetCollections()>0 && subjets('SoftDropPuppi').size()>0?subjets('SoftDropPuppi')[0].key():-1", int,
481  doc="index of first subjet"),
482  subJetIdx2 = Var("?nSubjetCollections()>0 && subjets('SoftDropPuppi').size()>1?subjets('SoftDropPuppi')[1].key():-1", int,
483  doc="index of second subjet"),
484 
485 # btagDeepC = Var("bDiscriminator('pfDeepCSVJetTags:probc')",float,doc="CMVA V2 btag discriminator",precision=10),
486 #puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pileup ID discriminant",precision=10),
487  nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
488  ),
489  externalVariables = cms.PSet(
490  lsf3 = ExtVar(cms.InputTag("lepInJetVars:lsf3"),float, doc="Lepton Subjet Fraction (3 subjets)",precision=10),
491  muonIdx3SJ = ExtVar(cms.InputTag("lepInJetVars:muIdx3SJ"),int, doc="index of muon matched to jet"),
492  electronIdx3SJ = ExtVar(cms.InputTag("lepInJetVars:eleIdx3SJ"),int,doc="index of electron matched to jet"),
493  )
494 )
495 
496 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1, run2_nanoAOD_106Xv1:
497  modifier.toModify( fatJetTable.variables.n2b1, expr = cms.string("userFloat('ak8PFJetsPuppiSoftDropValueMap:nb1AK8PuppiSoftDropN2')"),)
498  modifier.toModify( fatJetTable.variables.n3b1, expr = cms.string("userFloat('ak8PFJetsPuppiSoftDropValueMap:nb1AK8PuppiSoftDropN3')"),)
499  # Deprecated after 106X
500  modifier.toModify( fatJetTable.variables,
501  btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
502  btagDDBvL_noMD = Var("bDiscriminator('pfDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->bb vs QCD",precision=10),
503  btagDDCvL_noMD = Var("bDiscriminator('pfDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs QCD",precision=10),
504  btagDDCvB_noMD = Var("bDiscriminator('pfDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs H(Z)->bb",precision=10),
505  btagDDBvL = Var("bDiscriminator('pfMassIndependentDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->bb vs QCD",precision=10),
506  btagDDCvL = Var("bDiscriminator('pfMassIndependentDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs QCD",precision=10),
507  btagDDCvB = Var("bDiscriminator('pfMassIndependentDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb",precision=10),
508  )
509 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, msoftdrop_chs = Var("userFloat('ak8PFJetsCHSSoftDropMass')",float, doc="Legacy uncorrected soft drop mass with CHS",precision=10))
510 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau1, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau1\')"),)
511 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau2, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau2\')"),)
512 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau3, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau3\')"),)
513 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, tau4 = None)
514 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, n2b1 = None)
515 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, n3b1 = None)
516 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
517  modifier.toModify( fatJetTable.variables, jetId = Var("userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight"))
518 
519 run2_jme_2016.toModify( bjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2016.pb") )
520 run2_jme_2016.toModify( bjetNN,outputFormulas = cms.vstring(["at(0)*0.31976690888404846+1.047176718711853","0.5*(at(2)-at(1))*0.31976690888404846"]))
521 
522 run2_jme_2017.toModify( bjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2017.pb") )
523 run2_jme_2017.toModify( bjetNN,outputFormulas = cms.vstring(["at(0)*0.28225210309028625+1.055067777633667","0.5*(at(2)-at(1))*0.28225210309028625"]))
524 
525 run2_jme_2016.toModify( cjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2016.pb") )
526 run2_jme_2016.toModify( cjetNN,outputFormulas = cms.vstring(["at(0)*0.28862622380256653+0.9908722639083862","0.5*(at(2)-at(1))*0.28862622380256653"]))
527 
528 run2_jme_2017.toModify( cjetNN, weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/creg_training_2017.pb") )
529 run2_jme_2017.toModify( cjetNN,outputFormulas = cms.vstring(["at(0)*0.24718524515628815+0.9927206635475159","0.5*(at(2)-at(1))*0.24718524515628815"]))
530 
531 
532 
533 subJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
534  src = cms.InputTag("slimmedJetsAK8PFPuppiSoftDropPacked","SubJets"),
535  cut = cms.string(""), #probably already applied in miniaod
536  name = cms.string("SubJet"),
537  doc = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
538  singleton = cms.bool(False), # the number of entries is variable
539  extension = cms.bool(False), # this is the main table for the jets
540  variables = cms.PSet(P4Vars,
541  btagDeepB = Var("bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')",float,doc="DeepCSV b+bb tag discriminator",precision=10),
542  btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
543  rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
544  tau1 = Var("userFloat('NjettinessAK8Subjets:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
545  tau2 = Var("userFloat('NjettinessAK8Subjets:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
546  tau3 = Var("userFloat('NjettinessAK8Subjets:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
547  tau4 = Var("userFloat('NjettinessAK8Subjets:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
548  n2b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN2')", float, doc="N2 with beta=1", precision=10),
549  n3b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN3')", float, doc="N3 with beta=1", precision=10),
550  )
551 )
552 
553 # Deprecation/backcomp
554 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1, run2_nanoAOD_106Xv1:
555  # post 106X
556  modifier.toModify(subJetTable.variables,
557  btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
558  )
559 
560 #jets are not as precise as muons
561 fatJetTable.variables.pt.precision=10
562 subJetTable.variables.pt.precision=10
563 
564 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, tau1 = None)
565 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, tau2 = None)
566 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, tau3 = None)
567 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, tau4 = None)
568 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, n2b1 = None)
569 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, n3b1 = None)
570 run2_miniAOD_80XLegacy.toModify( subJetTable.variables, btagCMVA = None, btagDeepB = None)
571 
572 
573 corrT1METJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
574  src = cms.InputTag("corrT1METJets"),
575  cut = cms.string(""),
576  name = cms.string("CorrT1METJet"),
577  doc = cms.string("Additional low-pt jets for Type-1 MET re-correction"),
578  singleton = cms.bool(False), # the number of entries is variable
579  extension = cms.bool(False), # this is the main table for the jets
580  variables = cms.PSet(
581  rawPt = Var("pt()*jecFactor('Uncorrected')",float,precision=10),
582  eta = Var("eta", float,precision=12),
583  phi = Var("phi", float, precision=12),
584  area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
585  )
586 )
587 
588 
589 
590 
591 jetMCTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
592  src = cms.InputTag("linkedObjects","jets"),
593  cut = cms.string(""), #we should not filter on cross linked collections
594  name = cms.string("Jet"),
595  singleton = cms.bool(False), # the number of entries is variable
596  extension = cms.bool(True), # this is an extension table for the jets
597  variables = cms.PSet(
598  partonFlavour = Var("partonFlavour()", int, doc="flavour from parton matching"),
599  hadronFlavour = Var("hadronFlavour()", int, doc="flavour from hadron ghost clustering"),
600  genJetIdx = Var("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().key():-1", int, doc="index of matched gen jet"),
601  )
602 )
603 genJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
604  src = cms.InputTag("slimmedGenJets"),
605  cut = cms.string("pt > 10"),
606  name = cms.string("GenJet"),
607  doc = cms.string("slimmedGenJets, i.e. ak4 Jets made with visible genparticles"),
608  singleton = cms.bool(False), # the number of entries is variable
609  extension = cms.bool(False), # this is the main table for the genjets
610  variables = cms.PSet(P4Vars,
611  #anything else?
612  )
613 )
614 patJetPartonsNano = cms.EDProducer('HadronAndPartonSelector',
615  src = cms.InputTag("generator"),
616  particles = cms.InputTag("prunedGenParticles"),
617  partonMode = cms.string("Auto"),
618  fullChainPhysPartons = cms.bool(True)
619 )
620 genJetFlavourAssociation = cms.EDProducer("JetFlavourClustering",
621  jets = genJetTable.src,
622  bHadrons = cms.InputTag("patJetPartonsNano","bHadrons"),
623  cHadrons = cms.InputTag("patJetPartonsNano","cHadrons"),
624  partons = cms.InputTag("patJetPartonsNano","physicsPartons"),
625  leptons = cms.InputTag("patJetPartonsNano","leptons"),
626  jetAlgorithm = cms.string("AntiKt"),
627  rParam = cms.double(0.4),
628  ghostRescaling = cms.double(1e-18),
629  hadronFlavourHasPriority = cms.bool(False)
630 )
631 genJetFlavourTable = cms.EDProducer("GenJetFlavourTableProducer",
632  name = genJetTable.name,
633  src = genJetTable.src,
634  cut = genJetTable.cut,
635  deltaR = cms.double(0.1),
636  jetFlavourInfos = cms.InputTag("slimmedGenJetsFlavourInfos"),
637 )
638 
639 genJetAK8Table = cms.EDProducer("SimpleCandidateFlatTableProducer",
640  src = cms.InputTag("slimmedGenJetsAK8"),
641  cut = cms.string("pt > 100."),
642  name = cms.string("GenJetAK8"),
643  doc = cms.string("slimmedGenJetsAK8, i.e. ak8 Jets made with visible genparticles"),
644  singleton = cms.bool(False), # the number of entries is variable
645  extension = cms.bool(False), # this is the main table for the genjets
646  variables = cms.PSet(P4Vars,
647  #anything else?
648  )
649 )
650 genJetAK8FlavourAssociation = cms.EDProducer("JetFlavourClustering",
651  jets = genJetAK8Table.src,
652  bHadrons = cms.InputTag("patJetPartonsNano","bHadrons"),
653  cHadrons = cms.InputTag("patJetPartonsNano","cHadrons"),
654  partons = cms.InputTag("patJetPartonsNano","physicsPartons"),
655  leptons = cms.InputTag("patJetPartonsNano","leptons"),
656  jetAlgorithm = cms.string("AntiKt"),
657  rParam = cms.double(0.8),
658  ghostRescaling = cms.double(1e-18),
659  hadronFlavourHasPriority = cms.bool(False)
660 )
661 genJetAK8FlavourTable = cms.EDProducer("GenJetFlavourTableProducer",
662  name = genJetAK8Table.name,
663  src = genJetAK8Table.src,
664  cut = genJetAK8Table.cut,
665  deltaR = cms.double(0.1),
666  jetFlavourInfos = cms.InputTag("genJetAK8FlavourAssociation"),
667 )
668 fatJetMCTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
669  src = fatJetTable.src,
670  cut = fatJetTable.cut,
671  name = fatJetTable.name,
672  singleton = cms.bool(False),
673  extension = cms.bool(True),
674  variables = cms.PSet(
675  nBHadrons = Var("jetFlavourInfo().getbHadrons().size()", "uint8", doc="number of b-hadrons"),
676  nCHadrons = Var("jetFlavourInfo().getcHadrons().size()", "uint8", doc="number of c-hadrons"),
677  hadronFlavour = Var("hadronFlavour()", int, doc="flavour from hadron ghost clustering"),
678  genJetAK8Idx = Var("?genJetFwdRef().backRef().isNonnull() && genJetFwdRef().backRef().pt() > 100.?genJetFwdRef().backRef().key():-1", int, doc="index of matched gen AK8 jet"),
679  )
680 )
681 
682 genSubJetAK8Table = cms.EDProducer("SimpleCandidateFlatTableProducer",
683  src = cms.InputTag("slimmedGenJetsAK8SoftDropSubJets"),
684  cut = cms.string(""),
685  name = cms.string("SubGenJetAK8"),
686  doc = cms.string("slimmedGenJetsAK8SoftDropSubJets, i.e. subjets of ak8 Jets made with visible genparticles"),
687  singleton = cms.bool(False), # the number of entries is variable
688  extension = cms.bool(False), # this is the main table for the genjets
689  variables = cms.PSet(P4Vars,
690  #anything else?
691  )
692 )
693 subjetMCTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
694  src = subJetTable.src,
695  cut = subJetTable.cut,
696  name = subJetTable.name,
697  singleton = cms.bool(False),
698  extension = cms.bool(True),
699  variables = cms.PSet(
700  nBHadrons = Var("jetFlavourInfo().getbHadrons().size()", "uint8", doc="number of b-hadrons"),
701  nCHadrons = Var("jetFlavourInfo().getcHadrons().size()", "uint8", doc="number of c-hadrons"),
702  hadronFlavour = Var("hadronFlavour()", int, doc="flavour from hadron ghost clustering"),
703  )
704 )
705 
706 
707 run2_miniAOD_80XLegacy.toModify( genJetFlavourTable, jetFlavourInfos = cms.InputTag("genJetFlavourAssociation"),)
708 
709 from RecoJets.JetProducers.QGTagger_cfi import QGTagger
710 qgtagger=QGTagger.clone(srcJets="updatedJets",srcVertexCollection="offlineSlimmedPrimaryVertices")
711 
712 
713 from RecoJets.JetProducers.PileupJetID_cfi import pileupJetId, _chsalgos_94x, _chsalgos_102x, _chsalgos_106X_UL16, _chsalgos_106X_UL16APV, _chsalgos_106X_UL17, _chsalgos_106X_UL18
714 pileupJetId94X=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_94x),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
715 pileupJetId102X=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_102x),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
716 pileupJetId106XUL16=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL16),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
717 pileupJetId106XUL16APV=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL16APV),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
718 pileupJetId106XUL17=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL17),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
719 pileupJetId106XUL18=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL18),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
720 
721 #before cross linking
722 jetSequence = cms.Sequence(jetCorrFactorsNano+updatedJets+tightJetId+tightJetIdLepVeto+bJetVars+qgtagger+jercVars+pileupJetId94X+pileupJetId102X+pileupJetId106XUL16+pileupJetId106XUL16APV+pileupJetId106XUL17+pileupJetId106XUL18+updatedJetsWithUserData+jetCorrFactorsAK8+updatedJetsAK8+tightJetIdAK8+tightJetIdLepVetoAK8+updatedJetsAK8WithUserData+chsForSATkJets+softActivityJets+softActivityJets2+softActivityJets5+softActivityJets10+finalJets+finalJetsAK8)
723 
724 
725 _jetSequence_2016 = jetSequence.copy()
726 _jetSequence_2016.insert(_jetSequence_2016.index(tightJetId), looseJetId)
727 _jetSequence_2016.insert(_jetSequence_2016.index(tightJetIdAK8), looseJetIdAK8)
728 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
729  modifier.toReplaceWith(jetSequence, _jetSequence_2016)
730 
731 #HF shower shape recomputation
732 #Only run if needed (i.e. if default MINIAOD info is missing or outdated because of new JECs...)
733 from RecoJets.JetProducers.hfJetShowerShape_cfi import hfJetShowerShape
734 hfJetShowerShapeforNanoAOD = hfJetShowerShape.clone(jets="updatedJets",vertices="offlineSlimmedPrimaryVertices")
735 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1, run2_nanoAOD_106Xv1:
736  modifier.toModify(updatedJetsWithUserData.userFloats,
737  hfsigmaEtaEta = cms.InputTag('hfJetShowerShapeforNanoAOD:sigmaEtaEta'),
738  hfsigmaPhiPhi = cms.InputTag('hfJetShowerShapeforNanoAOD:sigmaPhiPhi'),
739  )
740  modifier.toModify(updatedJetsWithUserData.userInts,
741  hfcentralEtaStripSize = cms.InputTag('hfJetShowerShapeforNanoAOD:centralEtaStripSize'),
742  hfadjacentEtaStripsSize = cms.InputTag('hfJetShowerShapeforNanoAOD:adjacentEtaStripsSize'),
743  )
744  modifier.toModify( jetTable.variables, hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10))
745  modifier.toModify( jetTable.variables, hfsigmaPhiPhi = Var("userFloat('hfsigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10))
746  modifier.toModify( jetTable.variables, hfcentralEtaStripSize = Var("userInt('hfcentralEtaStripSize')", int, doc="eta size of the central tower strip in HF (noise discriminating variable) "))
747  modifier.toModify( jetTable.variables, hfadjacentEtaStripsSize = Var("userInt('hfadjacentEtaStripsSize')", int, doc="eta size of the strips next to the central tower strip in HF (noise discriminating variable) "))
748  _jetSequence_rerunHFshowershape = jetSequence.copy()
749  _jetSequence_rerunHFshowershape.insert(_jetSequence_rerunHFshowershape.index(updatedJetsWithUserData), hfJetShowerShapeforNanoAOD)
750  modifier.toReplaceWith(jetSequence, _jetSequence_rerunHFshowershape)
751 
752 
753 #after lepton collections have been run
754 jetLepSequence = cms.Sequence(lepInJetVars)
755 
756 #after cross linkining
757 jetTables = cms.Sequence(bjetNN+cjetNN+jetTable+fatJetTable+subJetTable+saJetTable+saTable)
758 
759 #MC only producers and tables
760 jetMC = cms.Sequence(jetMCTable+genJetTable+patJetPartonsNano+genJetFlavourTable+genJetAK8Table+genJetAK8FlavourAssociation+genJetAK8FlavourTable+fatJetMCTable+genSubJetAK8Table+subjetMCTable)
761 _jetMC_pre94X = jetMC.copy()
762 _jetMC_pre94X.insert(_jetMC_pre94X.index(genJetFlavourTable),genJetFlavourAssociation)
763 _jetMC_pre94X.remove(genSubJetAK8Table)
764 run2_miniAOD_80XLegacy.toReplaceWith(jetMC, _jetMC_pre94X)
765 
766 
ak4PFJetsBetaStar_cfi
common_cff
common_cff.Var
def Var(expr, valtype, compression=None, doc=None, mcOnly=False, precision=-1)
Definition: common_cff.py:20
jetCorrFactors_cfi
ak4PFJets_cfi
QGTagger_cfi
common_cff.ExtVar
def ExtVar(tag, valtype, compression=None, doc=None, mcOnly=False, precision=-1)
Definition: common_cff.py:31
nano_eras_cff
jetUpdater_cfi
PileupJetID_cfi
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