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