custom_jme_cff Namespace Reference

Functions
def	AddBTaggingScores (proc, jetTableName="")
def	AddDeepJetGluonLQuarkScores (proc, jetTableName="")
def	AddJetID (proc, jetName="", jetSrc="", jetTableName="", jetSequenceName="")
def	AddNewGenJets (proc, genJetInfo)
def	AddNewPatJets (proc, recoJetInfo, runOnMC)
def	AddPileUpJetIDVars (proc, jetName="", jetSrc="", jetTableName="", jetSequenceName="")
def	AddQGLTaggerVars (proc, jetName="", jetSrc="", jetTableName="", jetSequenceName="", calculateQGLVars=False)
def	AddVariablesForAK4GenJets (proc)
def	AddVariablesForAK8GenJets (proc)
def	AddVariablesForAK8PuppiJets (proc)
def	PrepJMECustomNanoAOD (process, runOnMC)
def	PrepJMECustomNanoAOD_Data (process)
def	PrepJMECustomNanoAOD_MC (process)
def	ReclusterAK4CHSJets (proc, recoJA, runOnMC)
def	ReclusterAK4GenJets (proc, genJA)
def	RemoveAllJetPtCuts (proc)
def	SaveGenJets (proc, genJetName, genJetAlgo, genJetSizeNr, genJetFinalColl, genJetTablePrefix, genJetTableDoc, runOnMC=False)
def	SavePatJets (proc, jetName, payload, patJetFinalColl, jetTablePrefix, jetTableDoc, doPF, doCalo, ptcut="", doPUIDVar=False, doQGL=False, doBTag=False, runOnMC=False)

Variables
	area
	btagCMVA
	bTagCMVAV2
	bTagCSVV2
	btagCSVV2
	btagDeepB
	btagDeepC
	bTagDeepCSV
	btagDeepFlavB
	btagDeepFlavC
	btagDeepFlavG
	btagDeepFlavUDS
	bTagDeepJet
	bTagDiscriminatorsForAK4
	BTAGVARS
	CALOJETVARS
	chEmEF
	chHEF
	config_genjets
	config_recojets
	DEEPJETVARS
	doc
	emf
	float
	GENJETVARS
	hfEmEF
	hfHEF
	int
	muEF
	nanoInfo_genjets
	nanoInfo_recojets
	nConstChHads
	nConstElecs
	nConstHFEMs
	nConstHFHads
	nConstituents
	nConstMuons
	nConstNeuHads
	nConstPhotons
	neEmEF
	neHEF
	nElectrons
	nMuons
	PFJETVARS
	precision
	puId_beta
	puId_dR2Mean
	puId_frac01
	puId_frac02
	puId_frac03
	puId_frac04
	puId_jetR
	puId_jetRchg
	puId_majW
	puId_minW
	puId_nCharged
	puId_ptD
	puId_pull
	PUIDVARS
	qgl_axis2
	qgl_mult
	qgl_ptD
	QGLVARS
	rawFactor

Function Documentation

def custom_jme_cff.AddBTaggingScores	(		proc,
			jetTableName = ""
	)

Store b-tagging scores from various algortihm

Definition at line 359 of file custom_jme_cff.py.

Referenced by SavePatJets().

def AddBTaggingScores(proc, jetTableName=""):
  """
  Store b-tagging scores from various algortihm
  """

  getattr(proc, jetTableName).variables.btagCMVA      = jetTable.variables.btagCMVA
  getattr(proc, jetTableName).variables.btagDeepB     = jetTable.variables.btagDeepB
  getattr(proc, jetTableName).variables.btagCSVV2     = jetTable.variables.btagCSVV2
  getattr(proc, jetTableName).variables.btagDeepC     = jetTable.variables.btagDeepC
  getattr(proc, jetTableName).variables.btagDeepFlavB = jetTable.variables.btagDeepFlavB
  getattr(proc, jetTableName).variables.btagDeepFlavC = jetTable.variables.btagDeepFlavC

  return proc

def custom_jme_cff.AddDeepJetGluonLQuarkScores	(		proc,
			jetTableName = ""
	)

Store DeepJet raw score in jetTable for gluon and light quark

Definition at line 373 of file custom_jme_cff.py.

Referenced by SavePatJets().

def AddDeepJetGluonLQuarkScores(proc, jetTableName=""):
  """
  Store DeepJet raw score in jetTable for gluon and light quark
  """

  getattr(proc, jetTableName).variables.btagDeepFlavG   = DEEPJETVARS.btagDeepFlavG  
  getattr(proc, jetTableName).variables.btagDeepFlavUDS = DEEPJETVARS.btagDeepFlavUDS

  return proc

def custom_jme_cff.AddJetID	(		proc,
			jetName = "",
			jetSrc = "",
			jetTableName = "",
			jetSequenceName = ""
	)

Setup modules to calculate PF jet ID 

Definition at line 198 of file custom_jme_cff.py.

References popcon2dropbox.copy(), edm::eventsetup::heterocontainer.insert(), and common_cff.Var().

Referenced by SavePatJets().

def AddJetID(proc, jetName="", jetSrc="", jetTableName="", jetSequenceName=""):
  """
  Setup modules to calculate PF jet ID 
  """

  isPUPPIJet = True if "Puppi" in jetName else False
  
  looseJetId = "looseJetId{}".format(jetName)
  setattr(proc, looseJetId, proc.looseJetId.clone(
      src = jetSrc,
      filterParams=proc.looseJetId.filterParams.clone(
        version ="WINTER16"
      ),
    )
  )

  tightJetId = "tightJetId{}".format(jetName)
  setattr(proc, tightJetId, proc.tightJetId.clone(
      src = jetSrc,
      filterParams=proc.tightJetId.filterParams.clone(
        version = "SUMMER18{}".format("PUPPI" if isPUPPIJet else "")
      ),
    )
  )
  
  tightJetIdLepVeto = "tightJetIdLepVeto{}".format(jetName)
  setattr(proc, tightJetIdLepVeto, proc.tightJetIdLepVeto.clone(
      src = jetSrc,
      filterParams=proc.tightJetIdLepVeto.filterParams.clone(
        version = "SUMMER18{}".format("PUPPI" if isPUPPIJet else "")
      ),
    )
  )
  run2_jme_2016.toModify(getattr(proc, tightJetId) .filterParams,        version = "WINTER16" )
  run2_jme_2016.toModify(getattr(proc, tightJetIdLepVeto) .filterParams, version = "WINTER16" )
  run2_jme_2017.toModify(getattr(proc, tightJetId) .filterParams,        version = "WINTER17{}".format("PUPPI" if isPUPPIJet else ""))
  run2_jme_2017.toModify(getattr(proc, tightJetIdLepVeto) .filterParams, version = "WINTER17{}".format("PUPPI" if isPUPPIJet else ""))
  
  #
  # Save variables as userInts in each jet
  # 
  patJetWithUserData = "{}WithUserData".format(jetSrc)
  getattr(proc, patJetWithUserData).userInts.tightId = cms.InputTag(tightJetId)
  getattr(proc, patJetWithUserData).userInts.tightIdLepVeto = cms.InputTag(tightJetIdLepVeto)
  run2_jme_2016.toModify(getattr(proc, patJetWithUserData).userInts, looseId = cms.InputTag(looseJetId))

  #
  # Specfiy variables in the jetTable to save in NanoAOD
  #
  getattr(proc, jetTableName).variables.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")
  run2_jme_2016.toModify(getattr(proc, jetTableName).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"))

  getattr(proc,jetSequenceName).insert(getattr(proc,jetSequenceName).index(getattr(proc, jetSrc))+1, getattr(proc, tightJetId))
  getattr(proc,jetSequenceName).insert(getattr(proc,jetSequenceName).index(getattr(proc, tightJetId))+1, getattr(proc, tightJetIdLepVeto))
  
  setattr(proc,"_"+jetSequenceName+"_2016", getattr(proc,jetSequenceName).copy())
  getattr(proc,"_"+jetSequenceName+"_2016").insert(getattr(proc, "_"+jetSequenceName+"_2016").index(getattr(proc, tightJetId)), getattr(proc, looseJetId))
  run2_jme_2016.toReplaceWith(getattr(proc,jetSequenceName), getattr(proc, "_"+jetSequenceName+"_2016"))

  return proc

def custom_jme_cff.AddNewGenJets	(		proc,
			genJetInfo
	)

Add genJet into custom nanoAOD

Definition at line 696 of file custom_jme_cff.py.

References SaveGenJets().

Referenced by PrepJMECustomNanoAOD().

def AddNewGenJets(proc, genJetInfo):
  """
  Add genJet into custom nanoAOD
  """

  genJetName         = genJetInfo.jetUpper
  genJetAlgo         = genJetInfo.jetAlgo
  genJetSize         = genJetInfo.jetSize
  genJetSizeNr       = genJetInfo.jetSizeNr
  genJetFinalColl    = "{}{}{}".format(genJetAlgo.upper(), genJetSize, "GenJetsNoNu")
  genJetTablePrefix  = nanoInfo_genjets[genJetInfo.jet]["name"]
  genJetTableDoc     = nanoInfo_genjets[genJetInfo.jet]["doc"]

  SaveGenJets(proc, genJetName, genJetAlgo, genJetSizeNr, genJetFinalColl, genJetTablePrefix, genJetTableDoc, runOnMC=False)

  return proc

def custom_jme_cff.AddNewPatJets	(		proc,
			recoJetInfo,
			runOnMC
	)

Add patJet into custom nanoAOD

Definition at line 383 of file custom_jme_cff.py.

References SavePatJets().

Referenced by PrepJMECustomNanoAOD().

def AddNewPatJets(proc, recoJetInfo, runOnMC):
  """
  Add patJet into custom nanoAOD
  """

  jetName = recoJetInfo.jetUpper
  payload = recoJetInfo.jetCorrPayload 
  doPF    = recoJetInfo.doPF
  doCalo  = recoJetInfo.doCalo

  if recoJetInfo.inputCollection != "":
    patJetFinalColl = recoJetInfo.inputCollection
  else: 
    patJetFinalColl = "selectedUpdatedPatJets{}Final".format(jetName)

  if doCalo:
    patJetFinalColl = "selectedPatJets{}".format(jetName)

  nanoInfoForJet = nanoInfo_recojets[recoJetInfo.jet]
  jetTablePrefix = nanoInfoForJet["name"]
  jetTableDoc    = nanoInfoForJet["doc"]
  ptcut          = nanoInfoForJet["ptcut"] if "ptcut" in nanoInfoForJet else ""
  doPUIDVar      = nanoInfoForJet["doPUIDVar"] if "doPUIDVar" in nanoInfoForJet else False
  doQGL          = nanoInfoForJet["doQGL"] if "doQGL" in nanoInfoForJet else False
  doBTag         = nanoInfoForJet["doBTag"] if "doBTag" in nanoInfoForJet else False

  SavePatJets(proc, 
    jetName, payload, patJetFinalColl, jetTablePrefix, jetTableDoc, doPF, doCalo, 
    ptcut=ptcut, doPUIDVar=doPUIDVar, doQGL=doQGL, doBTag=doBTag, runOnMC=runOnMC
  )

  return proc

def custom_jme_cff.AddPileUpJetIDVars	(		proc,
			jetName = "",
			jetSrc = "",
			jetTableName = "",
			jetSequenceName = ""
	)

Setup modules to calculate pileup jet ID input variables for PF jet

Definition at line 259 of file custom_jme_cff.py.

References edm::eventsetup::heterocontainer.insert().

Referenced by ReclusterAK4CHSJets(), and SavePatJets().

def AddPileUpJetIDVars(proc, jetName="", jetSrc="", jetTableName="", jetSequenceName=""):
  """
  Setup modules to calculate pileup jet ID input variables for PF jet
  """

  #
  # Calculate pileup jet ID variables
  #
  puJetIdVarsCalculator = "puJetIdCalculator{}".format(jetName) 
  setattr(proc, puJetIdVarsCalculator, pileupJetIdCalculator.clone(
      jets = jetSrc,
      vertexes  = "offlineSlimmedPrimaryVertices",
      inputIsCorrected = True,
      applyJec  = False,
      usePuppi = True if "Puppi" in jetName else False
    )
  )
  getattr(proc,jetSequenceName).insert(getattr(proc,jetSequenceName).index(getattr(proc, jetSrc))+1, getattr(proc, puJetIdVarsCalculator))

  #
  # Get the variables
  #
  puJetIDVar = "puJetIDVar{}".format(jetName)
  setattr(proc, puJetIDVar, cms.EDProducer("PileupJetIDVarProducer",
      srcJet = cms.InputTag(jetSrc),    
      srcPileupJetId = cms.InputTag(puJetIdVarsCalculator)
    )
  )
  getattr(proc,jetSequenceName).insert(getattr(proc,jetSequenceName).index(getattr(proc, puJetIdVarsCalculator))+1, getattr(proc, puJetIDVar))

  #
  # Save variables as userFloats and userInts for each jet
  # 
  patJetWithUserData = "{}WithUserData".format(jetSrc)
  getattr(proc,patJetWithUserData).userFloats.puId_dR2Mean  = cms.InputTag("{}:dR2Mean".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_majW     = cms.InputTag("{}:majW".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_minW     = cms.InputTag("{}:minW".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_frac01   = cms.InputTag("{}:frac01".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_frac02   = cms.InputTag("{}:frac02".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_frac03   = cms.InputTag("{}:frac03".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_frac04   = cms.InputTag("{}:frac04".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_ptD      = cms.InputTag("{}:ptD".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_beta     = cms.InputTag("{}:beta".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_pull     = cms.InputTag("{}:pull".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_jetR     = cms.InputTag("{}:jetR".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userFloats.puId_jetRchg  = cms.InputTag("{}:jetRchg".format(puJetIDVar))
  getattr(proc,patJetWithUserData).userInts.puId_nCharged   = cms.InputTag("{}:nCharged".format(puJetIDVar))

  #
  # Specfiy variables in the jet table to save in NanoAOD
  #
  getattr(proc,jetTableName).variables.puId_dR2Mean  = PUIDVARS.puId_dR2Mean 
  getattr(proc,jetTableName).variables.puId_majW     = PUIDVARS.puId_majW    
  getattr(proc,jetTableName).variables.puId_minW     = PUIDVARS.puId_minW    
  getattr(proc,jetTableName).variables.puId_frac01   = PUIDVARS.puId_frac01  
  getattr(proc,jetTableName).variables.puId_frac02   = PUIDVARS.puId_frac02  
  getattr(proc,jetTableName).variables.puId_frac03   = PUIDVARS.puId_frac03  
  getattr(proc,jetTableName).variables.puId_frac04   = PUIDVARS.puId_frac04  
  getattr(proc,jetTableName).variables.puId_ptD      = PUIDVARS.puId_ptD      
  getattr(proc,jetTableName).variables.puId_beta     = PUIDVARS.puId_beta    
  getattr(proc,jetTableName).variables.puId_pull     = PUIDVARS.puId_pull     
  getattr(proc,jetTableName).variables.puId_jetR     = PUIDVARS.puId_jetR    
  getattr(proc,jetTableName).variables.puId_jetRchg  = PUIDVARS.puId_jetRchg 
  getattr(proc,jetTableName).variables.puId_nCharged = PUIDVARS.puId_nCharged 

  return proc

def custom_jme_cff.AddQGLTaggerVars	(		proc,
			jetName = "",
			jetSrc = "",
			jetTableName = "",
			jetSequenceName = "",
			calculateQGLVars = False
	)

Schedule the QGTagger module to calculate input variables to the QG likelihood 

Definition at line 326 of file custom_jme_cff.py.

References edm::eventsetup::heterocontainer.insert().

Referenced by SavePatJets().

def AddQGLTaggerVars(proc, jetName="", jetSrc="", jetTableName="", jetSequenceName="", calculateQGLVars=False):
  """
  Schedule the QGTagger module to calculate input variables to the QG likelihood 
  """

  QGLTagger="qgtagger{}".format(jetName)
  patJetWithUserData="{}WithUserData".format(jetSrc)

  if calculateQGLVars:
    setattr(proc, QGLTagger, qgtagger.clone(
        srcJets=jetSrc
      )
    )

  #
  # Save variables as userFloats and userInts for each jet
  # 
  getattr(proc,patJetWithUserData).userFloats.qgl_axis2 = cms.InputTag(QGLTagger+":axis2")
  getattr(proc,patJetWithUserData).userFloats.qgl_ptD   = cms.InputTag(QGLTagger+":ptD")
  getattr(proc,patJetWithUserData).userInts.qgl_mult    = cms.InputTag(QGLTagger+":mult")

  #
  # Specfiy variables in the jet table to save in NanoAOD
  #
  getattr(proc,jetTableName).variables.qgl_axis2 =  QGLVARS.qgl_axis2
  getattr(proc,jetTableName).variables.qgl_ptD   =  QGLVARS.qgl_ptD
  getattr(proc,jetTableName).variables.qgl_mult  =  QGLVARS.qgl_mult

  if calculateQGLVars:
    getattr(proc,jetSequenceName).insert(getattr(proc,jetSequenceName).index(getattr(proc, jetSrc))+1, getattr(proc, QGLTagger))

  return proc

def custom_jme_cff.AddVariablesForAK4GenJets

(

proc

)

Definition at line 796 of file custom_jme_cff.py.

Referenced by PrepJMECustomNanoAOD().

def AddVariablesForAK4GenJets(proc):
  proc.genJetTable.variables.nConstituents = GENJETVARS.nConstituents
  return proc

def custom_jme_cff.AddVariablesForAK8GenJets

(

proc

)

Definition at line 800 of file custom_jme_cff.py.

Referenced by PrepJMECustomNanoAOD().

def AddVariablesForAK8GenJets(proc):
  proc.genJetAK8Table.variables.nConstituents = GENJETVARS.nConstituents
  return proc

#===========================================================================
#
# Misc. functions
#
#===========================================================================

def custom_jme_cff.AddVariablesForAK8PuppiJets

(

proc

)

Add more variables for AK8 PFPUPPI jets

Definition at line 664 of file custom_jme_cff.py.

References common_cff.Var().

Referenced by PrepJMECustomNanoAOD().

def AddVariablesForAK8PuppiJets(proc):
  """
  Add more variables for AK8 PFPUPPI jets
  """

  #
  #  These variables are not stored for AK8PFCHS (slimmedJetsAK8)
  #  in MiniAOD if their pt < 170 GeV. Hence the conditional fill.
  #
  proc.fatJetTable.variables.chHEF  = Var("?isPFJet()?chargedHadronEnergyFraction():-1", float, doc="charged Hadron Energy Fraction", precision = 6)
  proc.fatJetTable.variables.neHEF  = Var("?isPFJet()?neutralHadronEnergyFraction():-1", float, doc="neutral Hadron Energy Fraction", precision = 6)
  proc.fatJetTable.variables.chEmEF = Var("?isPFJet()?chargedEmEnergyFraction():-1", float, doc="charged Electromagnetic Energy Fraction", precision = 6)
  proc.fatJetTable.variables.neEmEF = Var("?isPFJet()?neutralEmEnergyFraction():-1", float, doc="neutral Electromagnetic Energy Fraction", precision = 6)
  proc.fatJetTable.variables.muEF   = Var("?isPFJet()?muonEnergyFraction():-1", float, doc="muon Energy Fraction", precision = 6)
  proc.fatJetTable.variables.hfHEF  = Var("?isPFJet()?HFHadronEnergyFraction():-1", float, doc="energy fraction in forward hadronic calorimeter", precision = 6)
  proc.fatJetTable.variables.hfEmEF = Var("?isPFJet()?HFEMEnergyFraction():-1", float, doc="energy fraction in forward EM calorimeter", precision = 6)
  proc.fatJetTable.variables.nConstChHads   = Var("?isPFJet()?chargedHadronMultiplicity():-1",int, doc="number of charged hadrons in the jet")
  proc.fatJetTable.variables.nConstNeuHads  = Var("?isPFJet()?neutralHadronMultiplicity():-1",int, doc="number of neutral hadrons in the jet")
  proc.fatJetTable.variables.nConstHFHads   = Var("?isPFJet()?HFHadronMultiplicity():-1", int, doc="number of HF Hadrons in the jet")
  proc.fatJetTable.variables.nConstHFEMs    = Var("?isPFJet()?HFEMMultiplicity():-1", int, doc="number of HF EMs in the jet")
  proc.fatJetTable.variables.nConstMuons    = Var("?isPFJet()?muonMultiplicity():-1", int, doc="number of muons in the jet")
  proc.fatJetTable.variables.nConstElecs    = Var("?isPFJet()?electronMultiplicity():-1", int, doc="number of electrons in the jet")
  proc.fatJetTable.variables.nConstPhotons  = Var("?isPFJet()?photonMultiplicity():-1", int, doc="number of photons in the jet")

  return proc
#******************************************
#
#
# Gen Jets related functions
# 
#
#******************************************

def custom_jme_cff.PrepJMECustomNanoAOD	(		process,
			runOnMC
	)

Definition at line 828 of file custom_jme_cff.py.

References AddNewGenJets(), AddNewPatJets(), AddVariablesForAK4GenJets(), AddVariablesForAK8GenJets(), AddVariablesForAK8PuppiJets(), ReclusterAK4CHSJets(), ReclusterAK4GenJets(), and RemoveAllJetPtCuts().

Referenced by PrepJMECustomNanoAOD_Data(), and PrepJMECustomNanoAOD_MC().

def PrepJMECustomNanoAOD(process,runOnMC):
  
  ############################################################################
  # Remove all default jet pt cuts from jets_cff.py
  ############################################################################
  process = RemoveAllJetPtCuts(process)

  ###########################################################################
  #
  # Gen-level jets related functions. Only for MC.
  #
  ###########################################################################
  genJA = GenJetAdder()
  if runOnMC:
    ############################################################################
    # Save additional variables for AK8 GEN jets
    ############################################################################
    process = AddVariablesForAK8GenJets(process)
    ###########################################################################
    # Recluster AK4 GEN jets
    ###########################################################################
    process = ReclusterAK4GenJets(process, genJA)
    process = AddVariablesForAK4GenJets(process)
    ###########################################################################
    # Add additional GEN jets to NanoAOD
    ###########################################################################
    for jetConfig in config_genjets:
      cfg = { k : v for k, v in jetConfig.items() if k != "enabled"}
      genJetInfo = genJA.addGenJetCollection(process, **cfg)
      AddNewGenJets(process, genJetInfo)

  ###########################################################################
  #
  # Reco-level jets related functions. For both MC and data.
  #
  ###########################################################################
  recoJA = RecoJetAdder(runOnMC=runOnMC)
  ###########################################################################
  # Save additional variables for AK8Puppi jets
  ###########################################################################
  process = AddVariablesForAK8PuppiJets(process)
  ###########################################################################
  # Recluster AK4 CHS jets and replace "slimmedJets"
  ###########################################################################
  process = ReclusterAK4CHSJets(process, recoJA, runOnMC)
  ###########################################################################
  # Add additional Reco jets to NanoAOD
  ###########################################################################
  for jetConfig in config_recojets:
    cfg = { k : v for k, v in jetConfig.items() if k != "enabled"}
    recoJetInfo = recoJA.addRecoJetCollection(process, **cfg)
    AddNewPatJets(process, recoJetInfo, runOnMC)
  
  return process

def custom_jme_cff.PrepJMECustomNanoAOD_Data

(

process

)

Definition at line 887 of file custom_jme_cff.py.

References PrepJMECustomNanoAOD().

def PrepJMECustomNanoAOD_Data(process):
  PrepJMECustomNanoAOD(process,runOnMC=False)
  return process

def custom_jme_cff.PrepJMECustomNanoAOD_MC

(

process

)

Definition at line 883 of file custom_jme_cff.py.

References PrepJMECustomNanoAOD().

def PrepJMECustomNanoAOD_MC(process):
  PrepJMECustomNanoAOD(process,runOnMC=True)
  return process

def custom_jme_cff.ReclusterAK4CHSJets	(		proc,
			recoJA,
			runOnMC
	)

Recluster AK4 CHS jets and replace slimmedJets
that is used as default to save AK4 CHS jets 
in NanoAODs.  

Definition at line 550 of file custom_jme_cff.py.

References AddPileUpJetIDVars(), edm.print(), and common_cff.Var().

Referenced by PrepJMECustomNanoAOD().

def ReclusterAK4CHSJets(proc, recoJA, runOnMC):
  """
  Recluster AK4 CHS jets and replace slimmedJets
  that is used as default to save AK4 CHS jets 
  in NanoAODs.  
  """
  print("custom_jme_cff::ReclusterAK4CHSJets: Recluster AK4 PF CHS jets")

  #
  # Recluster AK4 CHS jets
  #
  cfg = { 
    "jet" : "ak4pfchs",   
    "inputCollection" : "",                 
    "genJetsCollection": "AK4GenJetsNoNu",
    "bTagDiscriminators": bTagDiscriminatorsForAK4
  }
  recoJetInfo = recoJA.addRecoJetCollection(proc, **cfg) 

  jetName = recoJetInfo.jetUpper
  patJetFinalColl = "selectedUpdatedPatJets{}Final".format(jetName)
  
  #
  # Change the input jet source for jetCorrFactorsNano 
  # and updatedJets
  # 
  proc.jetCorrFactorsNano.src=patJetFinalColl
  proc.updatedJets.jetSource=patJetFinalColl

  #
  # Change pt cut
  #
  proc.finalJets.cut = "pt > 2"
  proc.simpleCleanerTable.jetSel = "pt > 10" # Change this from 15 -> 10 

  #
  # Add variables 
  #
  proc.jetTable.variables.hfHEF         = PFJETVARS.hfHEF
  proc.jetTable.variables.hfEmEF        = PFJETVARS.hfEmEF
  proc.jetTable.variables.nConstChHads  = PFJETVARS.nConstChHads
  proc.jetTable.variables.nConstNeuHads = PFJETVARS.nConstNeuHads
  proc.jetTable.variables.nConstHFHads  = PFJETVARS.nConstHFHads
  proc.jetTable.variables.nConstHFEMs   = PFJETVARS.nConstHFEMs
  proc.jetTable.variables.nConstMuons   = PFJETVARS.nConstMuons
  proc.jetTable.variables.nConstElecs   = PFJETVARS.nConstElecs
  proc.jetTable.variables.nConstPhotons = PFJETVARS.nConstPhotons

  proc.jetTable.doc = cms.string("AK4 PF CHS Jets with JECs applied, after basic selection (pt > 2)")

  #
  # Setup pileup jet ID with 80X training.
  # 
  pileupJetId80X = "pileupJetId80X"
  setattr(proc, pileupJetId80X, pileupJetId.clone(
      jets="updatedJets",
      algos=cms.VPSet(_chsalgos_81x),
      inputIsCorrected=True,
      applyJec=False,
      vertexes="offlineSlimmedPrimaryVertices"
    )
  )
  proc.jetSequence.insert(proc.jetSequence.index(proc.pileupJetId94X), getattr(proc, pileupJetId80X)) 

  proc.updatedJetsWithUserData.userInts.puId80XfullId = cms.InputTag('pileupJetId80X:fullId')
  run2_jme_2016.toModify(proc.updatedJetsWithUserData.userFloats, puId80XDisc = cms.InputTag("pileupJetId80X:fullDiscriminant"))

  proc.jetTable.variables.puId = Var("userInt('puId80XfullId')", int, doc="Pilup ID flags with 80X (2016) training")
  run2_jme_2016.toModify(proc.jetTable.variables, puIdDisc = Var("userFloat('puId80XDisc')",float,doc="Pilup ID discriminant with 80X (2016) training",precision=10))

  #
  # Add variables for pileup jet ID studies.
  #
  proc = AddPileUpJetIDVars(proc, 
    jetName="", 
    jetSrc="updatedJets", 
    jetTableName="jetTable",
    jetSequenceName="jetSequence"
  )
  #
  # Add variables for quark guon likelihood tagger studies.
  # Save variables as userFloats and userInts in each jet
  #
  proc.updatedJetsWithUserData.userFloats.qgl_axis2 = cms.InputTag("qgtagger:axis2")
  proc.updatedJetsWithUserData.userFloats.qgl_ptD   = cms.InputTag("qgtagger:ptD")
  proc.updatedJetsWithUserData.userInts.qgl_mult    = cms.InputTag("qgtagger:mult")
  #
  # Specfiy variables in the jetTable to save in NanoAOD
  #
  proc.jetTable.variables.qgl_axis2 =  QGLVARS.qgl_axis2
  proc.jetTable.variables.qgl_ptD   =  QGLVARS.qgl_ptD
  proc.jetTable.variables.qgl_mult  =  QGLVARS.qgl_mult
  #
  # Save DeepJet raw score for gluon and light quarks
  #
  proc.jetTable.variables.btagDeepFlavG   = DEEPJETVARS.btagDeepFlavG  
  proc.jetTable.variables.btagDeepFlavUDS = DEEPJETVARS.btagDeepFlavUDS

  #Adding hf shower shape producer to the jet sequence. By default this producer is not automatically rerun at the NANOAOD step
  #The following lines make sure it is.
  hfJetShowerShapeforCustomNanoAOD = "hfJetShowerShapeforCustomNanoAOD"
  setattr(proc, hfJetShowerShapeforCustomNanoAOD, hfJetShowerShapeforNanoAOD.clone(jets="updatedJets",vertices="offlineSlimmedPrimaryVertices") )
  proc.jetSequence.insert(proc.jetSequence.index(proc.updatedJetsWithUserData), getattr(proc, hfJetShowerShapeforCustomNanoAOD))
  proc.updatedJetsWithUserData.userFloats.hfsigmaEtaEta = cms.InputTag('hfJetShowerShapeforCustomNanoAOD:sigmaEtaEta')
  proc.updatedJetsWithUserData.userFloats.hfsigmaPhiPhi = cms.InputTag('hfJetShowerShapeforCustomNanoAOD:sigmaPhiPhi')
  proc.updatedJetsWithUserData.userInts.hfcentralEtaStripSize = cms.InputTag('hfJetShowerShapeforCustomNanoAOD:centralEtaStripSize')
  proc.updatedJetsWithUserData.userInts.hfadjacentEtaStripsSize = cms.InputTag('hfJetShowerShapeforCustomNanoAOD:adjacentEtaStripsSize')
  proc.jetTable.variables.hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10)
  proc.jetTable.variables.hfsigmaPhiPhi = Var("userFloat('hfsigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10)
  proc.jetTable.variables.hfcentralEtaStripSize = Var("userInt('hfcentralEtaStripSize')", int, doc="eta size of the central tower strip in HF (noise discriminating variable) ")
  proc.jetTable.variables.hfadjacentEtaStripsSize = Var("userInt('hfadjacentEtaStripsSize')", int, doc="eta size of the strips next to the central tower strip in HF (noise discriminating variable) ")

  return proc

def custom_jme_cff.ReclusterAK4GenJets	(		proc,
			genJA
	)

Recluster AK4 Gen jets and replace 
slimmedGenJets that is used as default 
to save AK4 Gen jets in NanoAODs. 

Definition at line 756 of file custom_jme_cff.py.

References edm.print().

Referenced by PrepJMECustomNanoAOD().

def ReclusterAK4GenJets(proc, genJA):
  """
  Recluster AK4 Gen jets and replace 
  slimmedGenJets that is used as default 
  to save AK4 Gen jets in NanoAODs. 
  """
  print("custom_jme_cff::ReclusterAK4GenJets: Recluster AK4 Gen jets")

  #
  # Recluster AK4 Gen jet
  #
  cfg = { 
    "jet" : "ak4gen",   
  }
  genJetInfo = genJA.addGenJetCollection(proc, **cfg)

  genJetName            = genJetInfo.jetUpper
  genJetAlgo            = genJetInfo.jetAlgo
  genJetSize            = genJetInfo.jetSize
  genJetSizeNr          = genJetInfo.jetSizeNr
  selectedPatGenJets    = "{}{}{}".format(genJetAlgo.upper(), genJetSize, "GenJetsNoNu")
  
  #
  # Change jet source to the newly clustered jet collection. Set very low pt cut for jets 
  # to be stored in the GenJet Table
  #
  proc.genJetTable.src = selectedPatGenJets
  proc.genJetTable.cut = "pt > 1"
  proc.genJetTable.doc  ="AK4 Gen jets (made with visible genparticles)"

  genJetFlavourAssociationThisJet = "genJet{}FlavourAssociation".format(genJetName)
  setattr(proc, genJetFlavourAssociationThisJet, genJetFlavourAssociation.clone(
      jets           = proc.genJetTable.src,
      jetAlgorithm   = supportedJetAlgos[genJetAlgo],
      rParam         = genJetSizeNr,
    )
  )
  proc.jetMC.insert(proc.jetMC.index(proc.genJetFlavourTable), getattr(proc, genJetFlavourAssociationThisJet)) 
  return proc

def custom_jme_cff.RemoveAllJetPtCuts

(

proc

)

Remove default pt cuts for all jets set in jets_cff.py 

Definition at line 809 of file custom_jme_cff.py.

Referenced by PrepJMECustomNanoAOD().

def RemoveAllJetPtCuts(proc):
  """
  Remove default pt cuts for all jets set in jets_cff.py 
  """

  proc.finalJets.cut             = "" # 15 -> 10
  proc.finalJetsAK8.cut          = "" # 170 -> 170
  proc.genJetTable.cut           = "" # 10 -> 8
  proc.genJetFlavourTable.cut    = "" # 10 -> 8
  proc.genJetAK8Table.cut        = "" # 100 -> 80
  proc.genJetAK8FlavourTable.cut = "" # 100 -> 80

  return proc

#===========================================================================
#
# CUSTOMIZATION function
#
#===========================================================================

def custom_jme_cff.SaveGenJets	(		proc,
			genJetName,
			genJetAlgo,
			genJetSizeNr,
			genJetFinalColl,
			genJetTablePrefix,
			genJetTableDoc,
			runOnMC = False
	)

Schedule modules for a given genJet collection and save its variables into custom NanoAOD

Definition at line 713 of file custom_jme_cff.py.

Referenced by AddNewGenJets().

def SaveGenJets(proc, genJetName, genJetAlgo, genJetSizeNr, genJetFinalColl, genJetTablePrefix, genJetTableDoc, runOnMC=False):
  """
  Schedule modules for a given genJet collection and save its variables into custom NanoAOD
  """

  genJetTableThisJet = "jet{}Table".format(genJetName)
  setattr(proc, genJetTableThisJet, genJetTable.clone(
      src       = genJetFinalColl,
      cut       = "pt > 1",
      name      = genJetTablePrefix,
      doc       = genJetTableDoc,
      variables = GENJETVARS
    )
  )

  genJetFlavourAssociationThisJet = "genJet{}FlavourAssociation".format(genJetName)
  setattr(proc, genJetFlavourAssociationThisJet, genJetFlavourAssociation.clone(
      jets           = getattr(proc,genJetTableThisJet).src,
      jetAlgorithm   = supportedJetAlgos[genJetAlgo],
      rParam         = genJetSizeNr,
    )
  )

  genJetFlavourTableThisJet = "genJet{}FlavourTable".format(genJetName)
  setattr(proc, genJetFlavourTableThisJet, genJetFlavourTable.clone(
      name            = getattr(proc,genJetTableThisJet).name,
      src             = getattr(proc,genJetTableThisJet).src,
      cut             = getattr(proc,genJetTableThisJet).cut,
      jetFlavourInfos = genJetFlavourAssociationThisJet,
    )
  )

  genJetSequenceName = "genJet{}Sequence".format(genJetName)
  setattr(proc, genJetSequenceName, cms.Sequence(
      getattr(proc,genJetTableThisJet)+
      getattr(proc,genJetFlavourAssociationThisJet)+
      getattr(proc,genJetFlavourTableThisJet)
    )
  )
  proc.nanoSequenceMC.insert(proc.nanoSequenceMC.index(proc.jetMC)+1, getattr(proc,genJetSequenceName)) 

  return proc

def custom_jme_cff.SavePatJets	(		proc,
			jetName,
			payload,
			patJetFinalColl,
			jetTablePrefix,
			jetTableDoc,
			doPF,
			doCalo,
			ptcut = "",
			doPUIDVar = False,
			doQGL = False,
			doBTag = False,
			runOnMC = False
	)

Schedule modules for a given patJet collection and save its variables into custom NanoAOD

Definition at line 417 of file custom_jme_cff.py.

References AddBTaggingScores(), AddDeepJetGluonLQuarkScores(), AddJetID(), AddPileUpJetIDVars(), AddQGLTaggerVars(), and common_cff.Var().

Referenced by AddNewPatJets().

                doPF, doCalo, ptcut="", doPUIDVar=False, doQGL=False, doBTag=False, runOnMC=False):
  """
  Schedule modules for a given patJet collection and save its variables into custom NanoAOD
  """

  #
  # Setup jet correction factors
  #
  jetCorrFactors = "jetCorrFactorsNano{}".format(jetName)
  setattr(proc, jetCorrFactors, jetCorrFactorsNano.clone(
      src = patJetFinalColl,
      payload = payload,
    )
  )

  #
  # Update jets
  #
  srcJets = "updatedJets{}".format(jetName)
  setattr(proc, srcJets, updatedJets.clone(
      jetSource = patJetFinalColl,
      jetCorrFactorsSource=[jetCorrFactors],
    )
  )
   
  #
  # Setup UserDataEmbedder
  #
  srcJetsWithUserData = "updatedJets{}WithUserData".format(jetName)
  setattr(proc, srcJetsWithUserData, cms.EDProducer("PATJetUserDataEmbedder",
      src = cms.InputTag(srcJets),
      userFloats = cms.PSet(),    
      userInts = cms.PSet(),
    )
  )
  
  #
  # Filter jets with pt cut
  #
  finalJetsForTable = "finalJets{}".format(jetName)
  setattr(proc, finalJetsForTable, finalJets.clone(
      src = srcJetsWithUserData,
      cut = ptcut
    )
  )

  #
  # Save jets in table
  #
  tableContent = PFJETVARS
  if doCalo:
    tableContent =  CALOJETVARS

  jetTable = "jet{}Table".format(jetName)
  setattr(proc,jetTable, cms.EDProducer("SimpleCandidateFlatTableProducer",
      src = cms.InputTag(finalJetsForTable),
      cut = cms.string(""), # Don't specify cuts here
      name = cms.string(jetTablePrefix),
      doc  = cms.string(jetTableDoc),
      singleton = cms.bool(False), # the number of entries is variable
      extension = cms.bool(False), # this is the main table for the jets
      variables = cms.PSet(tableContent)
    )
  )
  getattr(proc,jetTable).variables.pt.precision=10

  #
  # Save MC-only jet variables in table
  #
  jetMCTable = "jet{}MCTable".format(jetName)
  setattr(proc, jetMCTable, cms.EDProducer("SimpleCandidateFlatTableProducer",
      src = cms.InputTag(finalJetsForTable),
      cut = getattr(proc,jetTable).cut,
      name = cms.string(jetTablePrefix),
      singleton = cms.bool(False),
      extension = cms.bool(True), # this is an extension table
      variables = cms.PSet(
        partonFlavour = Var("partonFlavour()", int, doc="flavour from parton matching"),
        hadronFlavour = Var("hadronFlavour()", int, doc="flavour from hadron ghost clustering"),
        genJetIdx = Var("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().key():-1", int, doc="index of matched gen jet"),
      )
    )
  )

  #
  # Define the jet modules sequence first
  #
  jetSequenceName = "jet{}Sequence".format(jetName)
  setattr(proc, jetSequenceName, cms.Sequence(
      getattr(proc,jetCorrFactors)+
      getattr(proc,srcJets)+
      getattr(proc,srcJetsWithUserData)+
      getattr(proc,finalJetsForTable)
    )
  )

  #
  # Define the jet table sequences 
  #
  jetTableSequenceName = "jet{}TablesSequence".format(jetName)
  setattr(proc, jetTableSequenceName, cms.Sequence(getattr(proc,jetTable)))

  jetTableSequenceMCName = "jet{}MCTablesSequence".format(jetName)
  setattr(proc, jetTableSequenceMCName, cms.Sequence(getattr(proc,jetMCTable)))
  
  if runOnMC:
    proc.nanoSequenceMC += getattr(proc,jetSequenceName)
    proc.nanoSequenceMC += getattr(proc,jetTableSequenceName)
    proc.nanoSequenceMC += getattr(proc,jetTableSequenceMCName)
  else:
    proc.nanoSequence += getattr(proc,jetSequenceName)
    proc.nanoSequence += getattr(proc,jetTableSequenceName)

  #
  # Schedule plugins to calculate Jet ID, PileUp Jet ID input variables, and Quark-Gluon Likehood input variables.
  #
  if doPF:
    proc = AddJetID(proc, jetName=jetName, jetSrc=srcJets, jetTableName=jetTable, jetSequenceName=jetSequenceName)
    if doPUIDVar:
      proc = AddPileUpJetIDVars(proc, jetName=jetName, jetSrc=srcJets, jetTableName=jetTable, jetSequenceName=jetSequenceName)
    if doQGL:
      proc = AddQGLTaggerVars(proc,jetName=jetName, jetSrc=srcJets, jetTableName=jetTable, jetSequenceName=jetSequenceName, calculateQGLVars=True)
  
  #
  # Save b-tagging algorithm scores. Should only be done for jet collection with b-tagging 
  # calculated when reclustered or collection saved with b-tagging info in MiniAOD
  # 
  if doBTag:
    AddBTaggingScores(proc,jetTableName=jetTable)
    AddDeepJetGluonLQuarkScores(proc,jetTableName=jetTable)

  return proc

Variable Documentation

custom_jme_cff.area

Definition at line 133 of file custom_jme_cff.py.

Referenced by HGCalWaferType.areaPolygon(), AreaSeededTrackingRegionsProducer.AreaSeededTrackingRegionsProducer(), RPCRecHitValid.bookHistograms(), EventShapeVariables.circularity(), CaloDetIdAssociator.crossedElement(), RPCRecHitValidClient.dqmEndJob(), effectiveSigma(), HOCalibAnalyzer.endJob(), FWECALDetailViewBuilder.fillEtaPhi(), PhiSymmetryCalibration_step2_SM.fillHistos(), PhiSymmetryCalibration_step2.fillHistos(), HGCalHistoSeedingImpl.fillSmoothPhiHistoClusters(), HGCalGeometry.getArea(), pat::PATMuonProducer.getRelMiniIsoPUCorrected(), HcalDDDSimConstants.printTileHB(), HcalDDDSimConstants.printTileHE(), HiFJRhoProducer.produce(), AreaSeededTrackingRegionsBuilder::Builder.regionImpl(), SubjetFilterAlgorithm.run(), JME::JetParameters.setJetArea(), RPCSimSimple.simulateNoise(), RPCSimParam.simulateNoise(), RPCSimAverageNoiseEff.simulateNoise(), RPCSimAverage.simulateNoise(), RPCSimModelTiming.simulateNoise(), RPCSimAverageNoiseEffCls.simulateNoise(), RPCSimAverageNoise.simulateNoise(), RPCSimAsymmetricCls.simulateNoise(), CosmicMuonGenerator.terminate(), and DDI::EllipticalTube.volume().

custom_jme_cff.btagCMVA

Definition at line 173 of file custom_jme_cff.py.

custom_jme_cff.bTagCMVAV2

Definition at line 22 of file custom_jme_cff.py.

custom_jme_cff.bTagCSVV2

Definition at line 21 of file custom_jme_cff.py.

custom_jme_cff.btagCSVV2

Definition at line 175 of file custom_jme_cff.py.

custom_jme_cff.btagDeepB

Definition at line 174 of file custom_jme_cff.py.

custom_jme_cff.btagDeepC

Definition at line 176 of file custom_jme_cff.py.

custom_jme_cff.bTagDeepCSV

Definition at line 23 of file custom_jme_cff.py.

custom_jme_cff.btagDeepFlavB

Definition at line 179 of file custom_jme_cff.py.

custom_jme_cff.btagDeepFlavC

Definition at line 180 of file custom_jme_cff.py.

custom_jme_cff.btagDeepFlavG

Definition at line 181 of file custom_jme_cff.py.

custom_jme_cff.btagDeepFlavUDS

Definition at line 182 of file custom_jme_cff.py.

custom_jme_cff.bTagDeepJet

Definition at line 24 of file custom_jme_cff.py.

custom_jme_cff.bTagDiscriminatorsForAK4

Definition at line 28 of file custom_jme_cff.py.

custom_jme_cff.BTAGVARS

Definition at line 172 of file custom_jme_cff.py.

custom_jme_cff.CALOJETVARS

Definition at line 184 of file custom_jme_cff.py.

custom_jme_cff.chEmEF

Definition at line 136 of file custom_jme_cff.py.

custom_jme_cff.chHEF

Definition at line 134 of file custom_jme_cff.py.

custom_jme_cff.config_genjets

Definition at line 36 of file custom_jme_cff.py.

custom_jme_cff.config_recojets

Definition at line 59 of file custom_jme_cff.py.

custom_jme_cff.DEEPJETVARS

Definition at line 178 of file custom_jme_cff.py.

custom_jme_cff.doc

Definition at line 139 of file custom_jme_cff.py.

custom_jme_cff.emf

Definition at line 187 of file custom_jme_cff.py.

Referenced by CommonHcalNoiseRBXData.CommonHcalNoiseRBXData(), JetIDSelectionFunctor.craft08Cuts(), JetIDSelectionFunctor.fwd09Cuts(), FWGUIManager.setFrom(), and FWGUISubviewArea.undock().

custom_jme_cff.float

Definition at line 139 of file custom_jme_cff.py.

custom_jme_cff.GENJETVARS

Definition at line 128 of file custom_jme_cff.py.

custom_jme_cff.hfEmEF

Definition at line 140 of file custom_jme_cff.py.

custom_jme_cff.hfHEF

Definition at line 139 of file custom_jme_cff.py.

custom_jme_cff.int

Definition at line 144 of file custom_jme_cff.py.

custom_jme_cff.muEF

Definition at line 138 of file custom_jme_cff.py.

custom_jme_cff.nanoInfo_genjets

Definition at line 46 of file custom_jme_cff.py.

custom_jme_cff.nanoInfo_recojets

Definition at line 96 of file custom_jme_cff.py.

custom_jme_cff.nConstChHads

Definition at line 144 of file custom_jme_cff.py.

custom_jme_cff.nConstElecs

Definition at line 149 of file custom_jme_cff.py.

custom_jme_cff.nConstHFEMs

Definition at line 147 of file custom_jme_cff.py.

custom_jme_cff.nConstHFHads

Definition at line 146 of file custom_jme_cff.py.

custom_jme_cff.nConstituents

Definition at line 129 of file custom_jme_cff.py.

Referenced by JetToDigiDump.analyze(), myFastSimVal.analyze(), JetTester.analyze(), JetTester_HeavyIons.analyze(), JetAnalyzer_HeavyIons.analyze(), JetAnalyzer.analyze(), FFTGenericScaleCalculator.FFTGenericScaleCalculator(), and AcceptJet.operator()().

custom_jme_cff.nConstMuons

Definition at line 148 of file custom_jme_cff.py.

custom_jme_cff.nConstNeuHads

Definition at line 145 of file custom_jme_cff.py.

custom_jme_cff.nConstPhotons

Definition at line 150 of file custom_jme_cff.py.

custom_jme_cff.neEmEF

Definition at line 137 of file custom_jme_cff.py.

custom_jme_cff.neHEF

Definition at line 135 of file custom_jme_cff.py.

custom_jme_cff.nElectrons

Definition at line 142 of file custom_jme_cff.py.

Referenced by TriggerSummaryAnalyzerRAW.analyze(), SusyDQM< Mu, Ele, Jet, Met >.analyze(), HLTEventAnalyzerRAW.analyzeTrigger(), HLTOfflineDQMTopSingleLepton::MonitorSingleLepton.fill(), HLTOfflineDQMTopDiLepton::MonitorDiLepton.fill(), L1TEGammaOffline.findTagAndProbePair(), reco::RecoTauPiZero.numberOfElectrons(), and WPlusJetsEventSelector.operator()().

custom_jme_cff.nMuons

Definition at line 141 of file custom_jme_cff.py.

Referenced by TriggerSummaryAnalyzerRAW.analyze(), SusyDQM< Mu, Ele, Jet, Met >.analyze(), HLTEventAnalyzerRAW.analyzeTrigger(), HLTOfflineDQMTopSingleLepton::MonitorSingleLepton.fill(), HLTOfflineDQMTopDiLepton::MonitorDiLepton.fill(), HLTRFilter.hltFilter(), cms::MuonTCMETValueMapProducer.isGoodCaloMuon(), TrackMergeremb< T1 >.merg_and_put(), PFAlgo.processBlock(), MuIsoDepositProducer.produce(), CandIsoDepositProducer.produce(), L3MuonIsolationProducer.produce(), L3MuonCombinedRelativeIsolationProducer.produce(), L2MuonIsolationProducer.produce(), MuonTimingProducer.produce(), cms::MuonTCMETValueMapProducer.produce(), MuonProducer.produce(), MuonIdProducer.produce(), and HIMuonTrackingRegionProducer.regions().

custom_jme_cff.PFJETVARS

Definition at line 131 of file custom_jme_cff.py.

custom_jme_cff.precision

Definition at line 139 of file custom_jme_cff.py.

custom_jme_cff.puId_beta

Definition at line 161 of file custom_jme_cff.py.

custom_jme_cff.puId_dR2Mean

Definition at line 153 of file custom_jme_cff.py.

custom_jme_cff.puId_frac01

Definition at line 156 of file custom_jme_cff.py.

custom_jme_cff.puId_frac02

Definition at line 157 of file custom_jme_cff.py.

custom_jme_cff.puId_frac03

Definition at line 158 of file custom_jme_cff.py.

custom_jme_cff.puId_frac04

Definition at line 159 of file custom_jme_cff.py.

custom_jme_cff.puId_jetR

Definition at line 163 of file custom_jme_cff.py.

custom_jme_cff.puId_jetRchg

Definition at line 164 of file custom_jme_cff.py.

custom_jme_cff.puId_majW

Definition at line 154 of file custom_jme_cff.py.

custom_jme_cff.puId_minW

Definition at line 155 of file custom_jme_cff.py.

custom_jme_cff.puId_nCharged

Definition at line 165 of file custom_jme_cff.py.

custom_jme_cff.puId_ptD

Definition at line 160 of file custom_jme_cff.py.

custom_jme_cff.puId_pull

Definition at line 162 of file custom_jme_cff.py.

custom_jme_cff.PUIDVARS

Definition at line 152 of file custom_jme_cff.py.

custom_jme_cff.qgl_axis2

Definition at line 168 of file custom_jme_cff.py.

custom_jme_cff.qgl_mult

Definition at line 170 of file custom_jme_cff.py.

custom_jme_cff.qgl_ptD

Definition at line 169 of file custom_jme_cff.py.

custom_jme_cff.QGLVARS

Definition at line 167 of file custom_jme_cff.py.

custom_jme_cff.rawFactor

Definition at line 132 of file custom_jme_cff.py.

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