def __init__(self, cfg_ana, cfg_comp, looperName):
super(ttHLepAnalyzerSusy, self).__init__(cfg_ana, cfg_comp, looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [
"none", "prompt", "prompt-sync", "rereco", "rereco-sync"
]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections"
) and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp, 'efficiency'):
self.efficiency = EfficiencyCorrector(cfg_comp.efficiency)
def __init__(self, cfg_ana, cfg_comp, looperName ):
super(ttHLepAnalyzerFR,self).__init__(cfg_ana,cfg_comp,looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [ "none", "prompt", "prompt-sync", "rereco", "rereco-sync" ]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections") and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp,'efficiency'):
self.efficiency= EfficiencyCorrector(cfg_comp.efficiency)
self.relaxId = cfg_ana.relaxId if hasattr(cfg_ana,'relaxId') else False
class ttHLepAnalyzerBase(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(ttHLepAnalyzerBase, self).__init__(cfg_ana, cfg_comp, looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [
"none", "prompt", "prompt-sync", "rereco", "rereco-sync"
]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections"
) and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp, 'efficiency'):
self.efficiency = EfficiencyCorrector(cfg_comp.efficiency)
self.relaxId = cfg_ana.relaxId if hasattr(cfg_ana,
'relaxId') else False
#----------------------------------------
# DECLARATION OF HANDLES OF LEPTONS STUFF
#----------------------------------------
def declareHandles(self):
super(ttHLepAnalyzerBase, self).declareHandles()
#leptons
self.handles['muons'] = AutoHandle(self.cfg_ana.muons,
"std::vector<cmg::Muon>")
self.handles['electrons'] = AutoHandle(self.cfg_ana.electrons,
"std::vector<cmg::Electron>")
#rho for muons
self.handles['rhoMu'] = AutoHandle((self.cfg_ana.rhoMuon, 'rho'),
'double')
#rho for electrons
self.handles['rhoEle'] = AutoHandle((self.cfg_ana.rhoElectron, 'rho'),
'double')
#photons (a la hzz4l definition)
self.handles['photons'] = AutoHandle(('cmgPhotonSel', ''),
'std::vector<cmg::Photon>')
## dEdX
#self.handles['dEdX'] = AutoHandle( ('dedxHarmonic2','','RECO'), 'edm::ValueMap<reco::DeDxData>' )
def beginLoop(self):
super(ttHLepAnalyzerBase, self).beginLoop()
self.counters.addCounter('events')
count = self.counters.counter('events')
count.register('all events')
count.register('vetoed events')
count.register('accepted events')
#------------------
# MAKE LEPTON LISTS
#------------------
# the muons are already corrected with Rochester corrections, are already cleaned with the ghost cleaning
# the electrons have already the electron energy regression and calibration applied
# the V5_10_0 cmgTuple, have been corrected with Mike's patch for the SIP computation -> cmgMuons have been remade ->
# (cvs up -r michalis_sipPatchBranch CMGTools/Common/src/MuonFactory.cc)
# nb: the event vertex needs to be defined first -> using the vertex analyzer
# nb: in the following dxy and dz are computed with respect to the PV good vertex, sip with respect to the PV
def makeLeptons(self, event):
event.looseLeptons = []
event.selectedLeptons = []
event.inclusiveLeptons = []
#muons
allmuons = map(Muon, self.handles['muons'].product())
if self.cfg_ana.doRecomputeSIP3D:
for mu in allmuons:
if mu.sourcePtr().innerTrack().isNonnull():
## compute the variable and set it
mu._sip3d = abs(signedSip3D(mu, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
mu.sip3D = types.MethodType(lambda self: self._sip3d, mu,
mu.__class__)
if self.cfg_ana.doMuScleFitCorrections:
for mu in allmuons:
self.muscleCorr.correct(mu, event.run)
elif self.cfg_ana.doRochesterCorrections:
for mu in allmuons:
corp4 = rochcor.corrected_p4(mu, event.run)
mu.setP4(corp4)
if self.cfg_ana.doSegmentBasedMuonCleaning:
isgood = cmgMuonCleanerBySegments.clean(
self.handles['muons'].product())
newmu = []
for i, mu in enumerate(allmuons):
if isgood[i]: newmu.append(mu)
allmuons = newmu
for mu in allmuons:
mu.associatedVertex = event.goodVertices[0]
if (mu.isGlobal() or mu.isTracker() and mu.numberOfMatches() > 0
) and mu.pt() > 5 and abs(mu.eta()) < 2.4 and abs(
mu.dxy()) < 0.5 and abs(mu.dz()) < 1.:
#pid = mu.sourcePtr().originalObject().track().id()
#key = mu.sourcePtr().originalObject().track().key()
#mu.dEdX = self.handles['dEdX'].product().get(pid,key)
if mu.sourcePtr().userFloat("isPFMuon") > 0.5 and mu.sip3D(
) < self.cfg_ana.sip3dCut and mu.relIso(
dBetaFactor=0.5) < self.cfg_ana.isolationCut:
event.selectedLeptons.append(mu)
else:
event.looseLeptons.append(mu)
if mu.sourcePtr().userFloat("isPFMuon") > 0.5 and mu.sip3D(
) < self.cfg_ana.sip3dCutVeryLoose:
event.inclusiveLeptons.append(mu)
#electrons
allelectrons = map(Electron, self.handles['electrons'].product())
## duplicate removal for fast sim (to be checked if still necessary in 5_3_12+)
allelenodup = []
for e in allelectrons:
dup = False
for e2 in allelenodup:
if abs(e.pt() - e2.pt()) < 1e-6 and abs(e.eta() - e2.eta(
)) < 1e-6 and abs(e.phi() - e2.phi()) < 1e-6 and e.charge(
) == e2.charge():
dup = True
break
if not dup: allelenodup.append(e)
allelectrons = allelenodup
if self.cfg_ana.doRecomputeSIP3D:
for ele in allelectrons:
if ele.sourcePtr().gsfTrack().isNonnull():
## compute the variable and set it
ele._sip3d = abs(signedSip3D(ele, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
ele.sip3D = types.MethodType(lambda self: self._sip3d, ele,
ele.__class__)
# fill EA for rho-corrected isolation
for ele in allelectrons:
ele.rho = float(self.handles['rhoEle'].product()[0])
SCEta = abs(ele.sourcePtr().superCluster().eta())
if (abs(SCEta) >= 0.0 and abs(SCEta) < 1.0):
ele.EffectiveArea = 0.130
if (abs(SCEta) >= 1.0 and abs(SCEta) < 1.479):
ele.EffectiveArea = 0.137
if (abs(SCEta) >= 1.479 and abs(SCEta) < 2.0):
ele.EffectiveArea = 0.067
if (abs(SCEta) >= 2.0 and abs(SCEta) < 2.2):
ele.EffectiveArea = 0.089
if (abs(SCEta) >= 2.2 and abs(SCEta) < 2.3):
ele.EffectiveArea = 0.107
if (abs(SCEta) >= 2.3 and abs(SCEta) < 2.4):
ele.EffectiveArea = 0.110
if (abs(SCEta) >= 2.4): ele.EffectiveArea = 0.138
if self.cfg_ana.doElectronScaleCorrections:
for ele in allelectrons:
self.electronEnergyCalibrator.correct(ele, event.run)
muForEleCrossCleaning = []
if self.cfg_ana.doEleMuCrossCleaning:
for mu in event.selectedLeptons + event.looseLeptons:
if abs(mu.pdgId()) == 13 and (
mu.isGlobal()
or mu.sourcePtr().userFloat("isPFMuon") > 0.5):
muForEleCrossCleaning.append(mu)
for ele in allelectrons:
ele.associatedVertex = event.goodVertices[0]
## remove muons if muForEleCrossCleaning is not empty
if bestMatch(ele, muForEleCrossCleaning)[1] < 0.02: continue
## apply selection
if ele.pt() > 7 and abs(ele.eta()) < 2.5 and abs(
ele.dxy()) < 0.5 and abs(
ele.dz()) < 1. and ele.numberOfHits() <= 1:
## fill tightId:
if (ele.pt() > 20):
SCEta = abs(ele.sourcePtr().superCluster().eta())
if SCEta < 0.8:
ele.tightIdResult = (ele.mvaTrigV0() > 0.00)
elif SCEta < 1.479:
ele.tightIdResult = (ele.mvaTrigV0() > 0.10)
else:
ele.tightIdResult = (ele.mvaTrigV0() > 0.62)
elif (ele.pt() > 10):
if SCEta < 0.8:
ele.tightIdResult = (ele.mvaTrigV0() > 0.94)
elif SCEta < 1.479:
ele.tightIdResult = (ele.mvaTrigV0() > 0.85)
else:
ele.tightIdResult = (ele.mvaTrigV0() > 0.92)
else:
ele.tightIdResult = False
if (self.relaxId or ele.mvaIDZZ() and
ele.sip3D() < self.cfg_ana.sip3dCut) and ele.relIso(
dBetaFactor=0.5) < self.cfg_ana.isolationCut:
event.selectedLeptons.append(ele)
else:
event.looseLeptons.append(ele)
if (self.relaxId or ele.mvaIDZZ()
) and ele.sip3D() < self.cfg_ana.sip3dCutVeryLoose:
event.inclusiveLeptons.append(ele)
event.looseLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.selectedLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.inclusiveLeptons.sort(key=lambda l: l.pt(), reverse=True)
for lepton in event.selectedLeptons:
if hasattr(self, 'efficiency'):
self.efficiency.attachToObject(lepton)
#print "Found ",len(event.looseLeptons)," loose leptons"
#print "Found ",len(event.selectedLeptons)," good leptons"
def makePhotons(self, event):
event.allphotons = map(Photon, self.handles['photons'].product())
event.allphotons.sort(key=lambda l: l.pt(), reverse=True)
def process(self, iEvent, event):
self.readCollections(iEvent)
self.counters.counter('events').inc('all events')
eventNumber = iEvent.eventAuxiliary().id().event()
#print 'Event ',eventNumber
#import pdb; pdb.set_trace()
#call the leptons/photons functions
self.makeLeptons(event)
self.makePhotons(event)
ret = False
if len(event.selectedLeptons) >= self.cfg_ana.minGoodLeptons:
ret = True
if hasattr(self.cfg_ana, 'minInclusiveLeptons') and len(
event.inclusiveLeptons) < self.cfg_ana.minInclusiveLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
if hasattr(self.cfg_ana, 'maxGoodLeptons') and len(
event.selectedLeptons) > self.cfg_ana.maxGoodLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
#if self.cfg_ana.doSSLeptons and len(event.selectedLeptons) >= 2:
# if event.selectedLeptons[0].charge() == event.selectedLeptons[1].charge():
# ret = True
if ret: self.counters.counter('events').inc('accepted events')
return ret
class ttHLepAnalyzerFR( Analyzer ):
def __init__(self, cfg_ana, cfg_comp, looperName ):
super(ttHLepAnalyzerFR,self).__init__(cfg_ana,cfg_comp,looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [ "none", "prompt", "prompt-sync", "rereco", "rereco-sync" ]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections") and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp,'efficiency'):
self.efficiency= EfficiencyCorrector(cfg_comp.efficiency)
self.relaxId = cfg_ana.relaxId if hasattr(cfg_ana,'relaxId') else False
#----------------------------------------
# DECLARATION OF HANDLES OF LEPTONS STUFF
#----------------------------------------
def declareHandles(self):
super(ttHLepAnalyzerFR, self).declareHandles()
#leptons
self.handles['muons'] = AutoHandle(self.cfg_ana.muons,"std::vector<cmg::Muon>")
self.handles['electrons'] = AutoHandle(self.cfg_ana.electrons,"std::vector<cmg::Electron>")
#rho for muons
self.handles['rhoMu'] = AutoHandle( (self.cfg_ana.rhoMuon, 'rho'),
'double')
#rho for electrons
self.handles['rhoEle'] = AutoHandle( (self.cfg_ana.rhoElectron, 'rho'),
'double')
#photons (a la hzz4l definition)
self.handles['photons'] = AutoHandle( ('cmgPhotonSel',''),'std::vector<cmg::Photon>')
## dEdX
#self.handles['dEdX'] = AutoHandle( ('dedxHarmonic2','','RECO'), 'edm::ValueMap<reco::DeDxData>' )
def beginLoop(self):
super(ttHLepAnalyzerFR,self).beginLoop()
self.counters.addCounter('events')
count = self.counters.counter('events')
count.register('all events')
count.register('vetoed events')
count.register('accepted events')
#------------------
# MAKE LEPTON LISTS
#------------------
# the muons are already corrected with Rochester corrections, are already cleaned with the ghost cleaning
# the electrons have already the electron energy regression and calibration applied
# the V5_10_0 cmgTuple, have been corrected with Mike's patch for the SIP computation -> cmgMuons have been remade ->
# (cvs up -r michalis_sipPatchBranch CMGTools/Common/src/MuonFactory.cc)
# nb: the event vertex needs to be defined first -> using the vertex analyzer
# nb: in the following dxy and dz are computed with respect to the PV good vertex, sip with respect to the PV
def makeLeptons(self, event):
event.looseLeptons = []
event.selectedLeptons = []
event.inclusiveLeptons = []
#muons
allmuons = map( Muon, self.handles['muons'].product() )
if self.cfg_ana.doRecomputeSIP3D:
for mu in allmuons:
if mu.sourcePtr().innerTrack().isNonnull():
## compute the variable and set it
mu._sip3d = abs(signedSip3D(mu, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
mu.sip3D = types.MethodType(lambda self : self._sip3d, mu, mu.__class__)
if self.cfg_ana.doMuScleFitCorrections:
for mu in allmuons:
self.muscleCorr.correct(mu, event.run)
elif self.cfg_ana.doRochesterCorrections:
for mu in allmuons:
corp4 = rochcor.corrected_p4(mu, event.run)
mu.setP4( corp4 )
if self.cfg_ana.doSegmentBasedMuonCleaning:
isgood = cmgMuonCleanerBySegments.clean( self.handles['muons'].product() )
newmu = []
for i,mu in enumerate(allmuons):
if isgood[i]: newmu.append(mu)
allmuons = newmu
for mu in allmuons:
mu.associatedVertex = event.goodVertices[0]
mu.relIso03= (mu.sourcePtr().pfIsolationR03().sumChargedHadronPt + max( mu.sourcePtr().pfIsolationR03().sumNeutralHadronEt + mu.sourcePtr().pfIsolationR03().sumPhotonEt - mu.sourcePtr().pfIsolationR03().sumPUPt/2,0.0))/mu.pt()
mu.looseFakeId = ((mu.isGlobal() or mu.isTracker() and mu.numberOfMatches()>0) and mu.sourcePtr().userFloat("isPFMuon")>0.5 and mu.pt()>10 and abs(mu.eta())<2.4 and mu.tightId()>0.5 and abs(mu.dxy())<0.2 and abs(mu.dz())<0.2 and mu.relIso03<1.0)
mu.tightFakeId = ((mu.isGlobal() or mu.isTracker() and mu.numberOfMatches()>0) and mu.sourcePtr().userFloat("isPFMuon")>0.5 and mu.pt()>10 and abs(mu.eta())<2.4 and mu.tightId()>0.5 and abs(mu.dxy())<0.01 and abs(mu.dz())<0.2 and mu.relIso03<0.1)
if mu.pt()>5 and abs(mu.eta())<2.4:
if mu.looseFakeId:
event.inclusiveLeptons.append(mu)
event.selectedLeptons.append(mu)
#electrons
allelectrons = map( Electron, self.handles['electrons'].product() )
## duplicate removal for fast sim (to be checked if still necessary in 5_3_12+)
allelenodup = []
for e in allelectrons:
dup = False
for e2 in allelenodup:
if abs(e.pt()-e2.pt()) < 1e-6 and abs(e.eta()-e2.eta()) < 1e-6 and abs(e.phi()-e2.phi()) < 1e-6 and e.charge() == e2.charge():
dup = True
break
if not dup: allelenodup.append(e)
allelectrons = allelenodup
if self.cfg_ana.doRecomputeSIP3D:
for ele in allelectrons:
if ele.sourcePtr().gsfTrack().isNonnull():
## compute the variable and set it
ele._sip3d = abs(signedSip3D(ele, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
ele.sip3D = types.MethodType(lambda self : self._sip3d, ele, ele.__class__)
# fill EA for rho-corrected isolation
for ele in allelectrons:
ele.rho = float(self.handles['rhoEle'].product()[0])
SCEta = abs(ele.sourcePtr().superCluster().eta())
if (abs(SCEta) >= 0.0 and abs(SCEta) < 1.0 ) : ele.EffectiveArea = 0.13 # 0.130;
if (abs(SCEta) >= 1.0 and abs(SCEta) < 1.479 ) : ele.EffectiveArea = 0.14 # 0.137;
if (abs(SCEta) >= 1.479 and abs(SCEta) < 2.0 ) : ele.EffectiveArea = 0.07 # 0.067;
if (abs(SCEta) >= 2.0 and abs(SCEta) < 2.2 ) : ele.EffectiveArea = 0.09 # 0.089;
if (abs(SCEta) >= 2.2 and abs(SCEta) < 2.3 ) : ele.EffectiveArea = 0.11 # 0.107;
if (abs(SCEta) >= 2.3 and abs(SCEta) < 2.4 ) : ele.EffectiveArea = 0.11 # 0.110;
if (abs(SCEta) >= 2.4) : ele.EffectiveArea = 0.14 # 0.138;
if self.cfg_ana.doElectronScaleCorrections:
for ele in allelectrons:
self.electronEnergyCalibrator.correct(ele, event.run)
muForEleCrossCleaning = []
if self.cfg_ana.doEleMuCrossCleaning:
for mu in event.selectedLeptons + event.looseLeptons:
if abs(mu.pdgId()) == 13 and (mu.isGlobal() or mu.sourcePtr().userFloat("isPFMuon")>0.5):
muForEleCrossCleaning.append(mu)
for ele in allelectrons:
ele.associatedVertex = event.goodVertices[0]
## remove muons if muForEleCrossCleaning is not empty
if bestMatch(ele, muForEleCrossCleaning)[1] < 0.02: continue
## fill POG MVA tight Id
ele.tightIdResult = False
if ele.pt()>7 and abs(ele.eta())<2.5 and abs(ele.dxy())<0.5 and abs(ele.dz())<1. and ele.numberOfHits()<=1:
## fill tightId:
if (ele.pt() > 20):
SCEta = abs(ele.sourcePtr().superCluster().eta())
if SCEta < 0.8: ele.tightIdResult = (ele.mvaTrigV0() > 0.00)
elif SCEta < 1.479: ele.tightIdResult = (ele.mvaTrigV0() > 0.10)
else: ele.tightIdResult = (ele.mvaTrigV0() > 0.62)
elif (ele.pt() > 10):
if SCEta < 0.8: ele.tightIdResult = (ele.mvaTrigV0() > 0.94)
elif SCEta < 1.479: ele.tightIdResult = (ele.mvaTrigV0() > 0.85)
else: ele.tightIdResult = (ele.mvaTrigV0() > 0.92)
# Compute isolation
ele.relIso03 = (ele.chargedHadronIso(0.3) + max(ele.neutralHadronIso(0.3)+ele.photonIso(0.3)-ele.rho*ele.EffectiveArea,0))/ele.pt()
# Compute electron id
dEtaIn = abs(ele.sourcePtr().deltaEtaSuperClusterTrackAtVtx());
dPhiIn = abs(ele.sourcePtr().deltaPhiSuperClusterTrackAtVtx());
sigmaIEtaIEta = abs(ele.sourcePtr().sigmaIetaIeta());
hoe = abs(ele.sourcePtr().hadronicOverEm());
ooemoop = abs(1.0/ele.sourcePtr().ecalEnergy() - ele.sourcePtr().eSuperClusterOverP()/ele.sourcePtr().ecalEnergy());
vtxFitConversion = ele.passConversionVeto();
mHits = ele.numberOfHits();
# Set tight and loose flags
if abs(ele.sourcePtr().superCluster().eta()) < 1.479:
ele.looseFakeId = dEtaIn < 0.004 and dPhiIn < 0.06 and sigmaIEtaIEta < 0.01 and hoe < 0.12 and ooemoop < 0.05
else:
ele.looseFakeId = dEtaIn < 0.007 and dPhiIn < 0.03 and sigmaIEtaIEta < 0.03 and hoe < 0.10 and ooemoop < 0.05
ele.looseFakeId = ele.looseFakeId and vtxFitConversion and mHits <= 1 and abs(ele.dz()) < 0.1 and ele.relIso03 < 0.6
ele.looseFakeId = ele.looseFakeId and mHits <= 1 and ele.sourcePtr().isGsfCtfScPixChargeConsistent()
ele.tightFakeId = ele.looseFakeId and abs(ele.dxy()) < 0.02 and ele.relIso03 < 0.15
#print "ele pt = %.3f eta = %.3f sceta = %.3f detaIn = %.4f dphiIn = %.4f sieie = %.4f h/e = %.4f 1/e-1/p = %.4f dxy = %.4f dz = %.4f losthits = %d conveto = %d relIso = %.4f loose id = %d tight id = %d" % ( ele.pt(),ele.eta(),ele.sourcePtr().superCluster().eta(),dEtaIn,dPhiIn,sigmaIEtaIEta,hoe,ooemoop,abs(ele.dxy()),abs(ele.dz()),mHits,vtxFitConversion,ele.relIso03, ele.looseFakeId, ele.tightFakeId)
# add to the list if needed
if ele.pt()>7 and abs(ele.eta())<2.5:
if ele.looseFakeId:
event.inclusiveLeptons.append(ele)
event.selectedLeptons.append(ele)
event.looseLeptons.sort(key = lambda l : l.pt(), reverse = True)
event.selectedLeptons.sort(key = lambda l : l.pt(), reverse = True)
event.inclusiveLeptons.sort(key = lambda l : l.pt(), reverse = True)
for lepton in event.selectedLeptons:
if hasattr(self,'efficiency'):
self.efficiency.attachToObject(lepton)
#print "Found ",len(event.looseLeptons)," loose leptons"
#print "Found ",len(event.selectedLeptons)," good leptons"
def makePhotons(self, event):
event.allphotons = map( Photon, self.handles['photons'].product() )
event.allphotons.sort(key = lambda l : l.pt(), reverse = True)
def process(self, iEvent, event):
self.readCollections( iEvent )
self.counters.counter('events').inc('all events')
#import pdb; pdb.set_trace()
#call the leptons/photons functions
self.makeLeptons(event)
self.makePhotons(event)
ret = False
if len(event.selectedLeptons) >= self.cfg_ana.minGoodLeptons:
ret = True
if hasattr(self.cfg_ana, 'minInclusiveLeptons') and len(event.inclusiveLeptons) < self.cfg_ana.minInclusiveLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
if hasattr(self.cfg_ana, 'maxGoodLeptons') and len(event.selectedLeptons) > self.cfg_ana.maxGoodLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
#if self.cfg_ana.doSSLeptons and len(event.selectedLeptons) >= 2:
# if event.selectedLeptons[0].charge() == event.selectedLeptons[1].charge():
# ret = True
if ret: self.counters.counter('events').inc('accepted events')
return ret
class ttHLepAnalyzerFR(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(ttHLepAnalyzerFR, self).__init__(cfg_ana, cfg_comp, looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [
"none", "prompt", "prompt-sync", "rereco", "rereco-sync"
]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections"
) and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp, 'efficiency'):
self.efficiency = EfficiencyCorrector(cfg_comp.efficiency)
self.relaxId = cfg_ana.relaxId if hasattr(cfg_ana,
'relaxId') else False
#----------------------------------------
# DECLARATION OF HANDLES OF LEPTONS STUFF
#----------------------------------------
def declareHandles(self):
super(ttHLepAnalyzerFR, self).declareHandles()
#leptons
self.handles['muons'] = AutoHandle(self.cfg_ana.muons,
"std::vector<cmg::Muon>")
self.handles['electrons'] = AutoHandle(self.cfg_ana.electrons,
"std::vector<cmg::Electron>")
#rho for muons
self.handles['rhoMu'] = AutoHandle((self.cfg_ana.rhoMuon, 'rho'),
'double')
#rho for electrons
self.handles['rhoEle'] = AutoHandle((self.cfg_ana.rhoElectron, 'rho'),
'double')
#photons (a la hzz4l definition)
self.handles['photons'] = AutoHandle(('cmgPhotonSel', ''),
'std::vector<cmg::Photon>')
## dEdX
#self.handles['dEdX'] = AutoHandle( ('dedxHarmonic2','','RECO'), 'edm::ValueMap<reco::DeDxData>' )
def beginLoop(self):
super(ttHLepAnalyzerFR, self).beginLoop()
self.counters.addCounter('events')
count = self.counters.counter('events')
count.register('all events')
count.register('vetoed events')
count.register('accepted events')
#------------------
# MAKE LEPTON LISTS
#------------------
# the muons are already corrected with Rochester corrections, are already cleaned with the ghost cleaning
# the electrons have already the electron energy regression and calibration applied
# the V5_10_0 cmgTuple, have been corrected with Mike's patch for the SIP computation -> cmgMuons have been remade ->
# (cvs up -r michalis_sipPatchBranch CMGTools/Common/src/MuonFactory.cc)
# nb: the event vertex needs to be defined first -> using the vertex analyzer
# nb: in the following dxy and dz are computed with respect to the PV good vertex, sip with respect to the PV
def makeLeptons(self, event):
event.looseLeptons = []
event.selectedLeptons = []
event.inclusiveLeptons = []
#muons
allmuons = map(Muon, self.handles['muons'].product())
if self.cfg_ana.doRecomputeSIP3D:
for mu in allmuons:
if mu.sourcePtr().innerTrack().isNonnull():
## compute the variable and set it
mu._sip3d = abs(signedSip3D(mu, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
mu.sip3D = types.MethodType(lambda self: self._sip3d, mu,
mu.__class__)
if self.cfg_ana.doMuScleFitCorrections:
for mu in allmuons:
self.muscleCorr.correct(mu, event.run)
elif self.cfg_ana.doRochesterCorrections:
for mu in allmuons:
corp4 = rochcor.corrected_p4(mu, event.run)
mu.setP4(corp4)
if self.cfg_ana.doSegmentBasedMuonCleaning:
isgood = cmgMuonCleanerBySegments.clean(
self.handles['muons'].product())
newmu = []
for i, mu in enumerate(allmuons):
if isgood[i]: newmu.append(mu)
allmuons = newmu
for mu in allmuons:
mu.associatedVertex = event.goodVertices[0]
mu.relIso03 = (
mu.sourcePtr().pfIsolationR03().sumChargedHadronPt + max(
mu.sourcePtr().pfIsolationR03().sumNeutralHadronEt +
mu.sourcePtr().pfIsolationR03().sumPhotonEt -
mu.sourcePtr().pfIsolationR03().sumPUPt / 2,
0.0)) / mu.pt()
mu.looseFakeId = ((mu.isGlobal()
or mu.isTracker() and mu.numberOfMatches() > 0)
and mu.sourcePtr().userFloat("isPFMuon") > 0.5
and mu.pt() > 10 and abs(mu.eta()) < 2.4
and mu.tightId() > 0.5 and abs(mu.dxy()) < 0.2
and abs(mu.dz()) < 0.2 and mu.relIso03 < 1.0)
mu.tightFakeId = ((mu.isGlobal()
or mu.isTracker() and mu.numberOfMatches() > 0)
and mu.sourcePtr().userFloat("isPFMuon") > 0.5
and mu.pt() > 10 and abs(mu.eta()) < 2.4
and mu.tightId() > 0.5 and abs(mu.dxy()) < 0.01
and abs(mu.dz()) < 0.2 and mu.relIso03 < 0.1)
if mu.pt() > 5 and abs(mu.eta()) < 2.4:
if mu.looseFakeId:
event.inclusiveLeptons.append(mu)
event.selectedLeptons.append(mu)
#electrons
allelectrons = map(Electron, self.handles['electrons'].product())
## duplicate removal for fast sim (to be checked if still necessary in 5_3_12+)
allelenodup = []
for e in allelectrons:
dup = False
for e2 in allelenodup:
if abs(e.pt() - e2.pt()) < 1e-6 and abs(e.eta() - e2.eta(
)) < 1e-6 and abs(e.phi() - e2.phi()) < 1e-6 and e.charge(
) == e2.charge():
dup = True
break
if not dup: allelenodup.append(e)
allelectrons = allelenodup
if self.cfg_ana.doRecomputeSIP3D:
for ele in allelectrons:
if ele.sourcePtr().gsfTrack().isNonnull():
## compute the variable and set it
ele._sip3d = abs(signedSip3D(ele, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
ele.sip3D = types.MethodType(lambda self: self._sip3d, ele,
ele.__class__)
# fill EA for rho-corrected isolation
for ele in allelectrons:
ele.rho = float(self.handles['rhoEle'].product()[0])
SCEta = abs(ele.sourcePtr().superCluster().eta())
if (abs(SCEta) >= 0.0 and abs(SCEta) < 1.0):
ele.EffectiveArea = 0.13 # 0.130;
if (abs(SCEta) >= 1.0 and abs(SCEta) < 1.479):
ele.EffectiveArea = 0.14 # 0.137;
if (abs(SCEta) >= 1.479 and abs(SCEta) < 2.0):
ele.EffectiveArea = 0.07 # 0.067;
if (abs(SCEta) >= 2.0 and abs(SCEta) < 2.2):
ele.EffectiveArea = 0.09 # 0.089;
if (abs(SCEta) >= 2.2 and abs(SCEta) < 2.3):
ele.EffectiveArea = 0.11 # 0.107;
if (abs(SCEta) >= 2.3 and abs(SCEta) < 2.4):
ele.EffectiveArea = 0.11 # 0.110;
if (abs(SCEta) >= 2.4): ele.EffectiveArea = 0.14 # 0.138;
if self.cfg_ana.doElectronScaleCorrections:
for ele in allelectrons:
self.electronEnergyCalibrator.correct(ele, event.run)
muForEleCrossCleaning = []
if self.cfg_ana.doEleMuCrossCleaning:
for mu in event.selectedLeptons + event.looseLeptons:
if abs(mu.pdgId()) == 13 and (
mu.isGlobal()
or mu.sourcePtr().userFloat("isPFMuon") > 0.5):
muForEleCrossCleaning.append(mu)
for ele in allelectrons:
ele.associatedVertex = event.goodVertices[0]
## remove muons if muForEleCrossCleaning is not empty
if bestMatch(ele, muForEleCrossCleaning)[1] < 0.02: continue
## fill POG MVA tight Id
ele.tightIdResult = False
if ele.pt() > 7 and abs(ele.eta()) < 2.5 and abs(
ele.dxy()) < 0.5 and abs(
ele.dz()) < 1. and ele.numberOfHits() <= 1:
## fill tightId:
if (ele.pt() > 20):
SCEta = abs(ele.sourcePtr().superCluster().eta())
if SCEta < 0.8:
ele.tightIdResult = (ele.mvaTrigV0() > 0.00)
elif SCEta < 1.479:
ele.tightIdResult = (ele.mvaTrigV0() > 0.10)
else:
ele.tightIdResult = (ele.mvaTrigV0() > 0.62)
elif (ele.pt() > 10):
if SCEta < 0.8:
ele.tightIdResult = (ele.mvaTrigV0() > 0.94)
elif SCEta < 1.479:
ele.tightIdResult = (ele.mvaTrigV0() > 0.85)
else:
ele.tightIdResult = (ele.mvaTrigV0() > 0.92)
# Compute isolation
ele.relIso03 = (ele.chargedHadronIso(0.3) + max(
ele.neutralHadronIso(0.3) + ele.photonIso(0.3) -
ele.rho * ele.EffectiveArea, 0)) / ele.pt()
# Compute electron id
dEtaIn = abs(ele.sourcePtr().deltaEtaSuperClusterTrackAtVtx())
dPhiIn = abs(ele.sourcePtr().deltaPhiSuperClusterTrackAtVtx())
sigmaIEtaIEta = abs(ele.sourcePtr().sigmaIetaIeta())
hoe = abs(ele.sourcePtr().hadronicOverEm())
ooemoop = abs(1.0 / ele.sourcePtr().ecalEnergy() -
ele.sourcePtr().eSuperClusterOverP() /
ele.sourcePtr().ecalEnergy())
vtxFitConversion = ele.passConversionVeto()
mHits = ele.numberOfHits()
# Set tight and loose flags
if abs(ele.sourcePtr().superCluster().eta()) < 1.479:
ele.looseFakeId = dEtaIn < 0.004 and dPhiIn < 0.06 and sigmaIEtaIEta < 0.01 and hoe < 0.12 and ooemoop < 0.05
else:
ele.looseFakeId = dEtaIn < 0.007 and dPhiIn < 0.03 and sigmaIEtaIEta < 0.03 and hoe < 0.10 and ooemoop < 0.05
ele.looseFakeId = ele.looseFakeId and vtxFitConversion and mHits <= 1 and abs(
ele.dz()) < 0.1 and ele.relIso03 < 0.6
ele.looseFakeId = ele.looseFakeId and mHits <= 1 and ele.sourcePtr(
).isGsfCtfScPixChargeConsistent()
ele.tightFakeId = ele.looseFakeId and abs(
ele.dxy()) < 0.02 and ele.relIso03 < 0.15
#print "ele pt = %.3f eta = %.3f sceta = %.3f detaIn = %.4f dphiIn = %.4f sieie = %.4f h/e = %.4f 1/e-1/p = %.4f dxy = %.4f dz = %.4f losthits = %d conveto = %d relIso = %.4f loose id = %d tight id = %d" % ( ele.pt(),ele.eta(),ele.sourcePtr().superCluster().eta(),dEtaIn,dPhiIn,sigmaIEtaIEta,hoe,ooemoop,abs(ele.dxy()),abs(ele.dz()),mHits,vtxFitConversion,ele.relIso03, ele.looseFakeId, ele.tightFakeId)
# add to the list if needed
if ele.pt() > 7 and abs(ele.eta()) < 2.5:
if ele.looseFakeId:
event.inclusiveLeptons.append(ele)
event.selectedLeptons.append(ele)
event.looseLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.selectedLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.inclusiveLeptons.sort(key=lambda l: l.pt(), reverse=True)
for lepton in event.selectedLeptons:
if hasattr(self, 'efficiency'):
self.efficiency.attachToObject(lepton)
#print "Found ",len(event.looseLeptons)," loose leptons"
#print "Found ",len(event.selectedLeptons)," good leptons"
def makePhotons(self, event):
event.allphotons = map(Photon, self.handles['photons'].product())
event.allphotons.sort(key=lambda l: l.pt(), reverse=True)
def process(self, iEvent, event):
self.readCollections(iEvent)
self.counters.counter('events').inc('all events')
#import pdb; pdb.set_trace()
#call the leptons/photons functions
self.makeLeptons(event)
self.makePhotons(event)
ret = False
if len(event.selectedLeptons) >= self.cfg_ana.minGoodLeptons:
ret = True
if hasattr(self.cfg_ana, 'minInclusiveLeptons') and len(
event.inclusiveLeptons) < self.cfg_ana.minInclusiveLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
if hasattr(self.cfg_ana, 'maxGoodLeptons') and len(
event.selectedLeptons) > self.cfg_ana.maxGoodLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
#if self.cfg_ana.doSSLeptons and len(event.selectedLeptons) >= 2:
# if event.selectedLeptons[0].charge() == event.selectedLeptons[1].charge():
# ret = True
if ret: self.counters.counter('events').inc('accepted events')
return ret
class ttHLepAnalyzerSusy(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(ttHLepAnalyzerSusy, self).__init__(cfg_ana, cfg_comp, looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [
"none", "prompt", "prompt-sync", "rereco", "rereco-sync"
]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections"
) and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp, 'efficiency'):
self.efficiency = EfficiencyCorrector(cfg_comp.efficiency)
#----------------------------------------
# DECLARATION OF HANDLES OF LEPTONS STUFF
#----------------------------------------
def declareHandles(self):
super(ttHLepAnalyzerSusy, self).declareHandles()
#leptons
self.handles['muons'] = AutoHandle(self.cfg_ana.muons,
"std::vector<cmg::Muon>")
self.handles['electrons'] = AutoHandle(self.cfg_ana.electrons,
"std::vector<cmg::Electron>")
#rho for muons
self.handles['rhoMu'] = AutoHandle((self.cfg_ana.rhoMuon, 'rho'),
'double')
#rho for electrons
self.handles['rhoEle'] = AutoHandle((self.cfg_ana.rhoElectron, 'rho'),
'double')
#photons (a la hzz4l definition)
self.handles['photons'] = AutoHandle(self.cfg_ana.photons,
'std::vector<cmg::Photon>')
def beginLoop(self):
super(ttHLepAnalyzerSusy, self).beginLoop()
self.counters.addCounter('events')
count = self.counters.counter('events')
count.register('all events')
#------------------
# MAKE LEPTON LISTS
#------------------
def makeLeptons(self, event):
### inclusive leptons = all leptons that could be considered somewhere in the analysis, with minimal requirements (used e.g. to match to MC)
event.inclusiveLeptons = []
### selected leptons = subset of inclusive leptons passing some basic id definition and pt requirement
### other leptons = subset of inclusive leptons failing some basic id definition and pt requirement
event.selectedLeptons = []
event.selectedMuons = []
event.selectedElectrons = []
event.otherLeptons = []
#muons
allmuons = self.makeAllMuons(event)
for mu in allmuons:
# inclusive, very loose, selection
if (mu.sourcePtr().track().isNonnull()
and mu.muonID(self.cfg_ana.inclusive_muon_id)
and mu.pt() > self.cfg_ana.inclusive_muon_pt
and abs(mu.eta()) < self.cfg_ana.inclusive_muon_eta
and abs(mu.dxy()) < self.cfg_ana.inclusive_muon_dxy
and abs(mu.dz()) < self.cfg_ana.inclusive_muon_dz):
event.inclusiveLeptons.append(mu)
# basic selection
if (mu.muonID(self.cfg_ana.loose_muon_id)
and mu.pt() > self.cfg_ana.loose_muon_pt
and abs(mu.eta()) < self.cfg_ana.loose_muon_eta
and abs(mu.dxy()) < self.cfg_ana.loose_muon_dxy
and abs(mu.dz()) < self.cfg_ana.loose_muon_dz
and mu.relIso03 < self.cfg_ana.loose_muon_relIso
and mu.absIso03 <
(self.cfg_ana.loose_muon_absIso if hasattr(
self.cfg_ana, 'loose_muon_absIso') else 9e99)):
mu.looseIdSusy = True
event.selectedLeptons.append(mu)
event.selectedMuons.append(mu)
else:
mu.looseIdSusy = False
event.otherLeptons.append(mu)
#electrons
allelectrons = self.makeAllElectrons(event)
looseMuons = event.selectedLeptons[:]
for ele in allelectrons:
## remove muons if muForEleCrossCleaning is not empty
## apply selection
if (ele.electronID(self.cfg_ana.inclusive_electron_id)
and ele.pt() > self.cfg_ana.inclusive_electron_pt
and abs(ele.eta()) < self.cfg_ana.inclusive_electron_eta
and abs(ele.dxy()) < self.cfg_ana.inclusive_electron_dxy
and abs(ele.dz()) < self.cfg_ana.inclusive_electron_dz
and ele.numberOfHits() <=
self.cfg_ana.inclusive_electron_lostHits):
event.inclusiveLeptons.append(ele)
# basic selection
if (ele.electronID(self.cfg_ana.loose_electron_id)
and ele.pt() > self.cfg_ana.loose_electron_pt
and abs(ele.eta()) < self.cfg_ana.loose_electron_eta
and abs(ele.dxy()) < self.cfg_ana.loose_electron_dxy
and abs(ele.dz()) < self.cfg_ana.loose_electron_dz
and ele.relIso03 <= self.cfg_ana.loose_electron_relIso
and ele.absIso03 <
(self.cfg_ana.loose_electron_absIso if hasattr(
self.cfg_ana, 'loose_electron_absIso') else 9e99)
and ele.numberOfHits() <=
self.cfg_ana.loose_electron_lostHits
and bestMatch(ele, looseMuons)[1] >
self.cfg_ana.min_dr_electron_muon):
event.selectedLeptons.append(ele)
event.selectedElectrons.append(ele)
ele.looseIdSusy = True
else:
event.otherLeptons.append(ele)
ele.looseIdSusy = False
event.otherLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.selectedLeptons.sort(key=lambda l: l.pt(), reverse=True)
event.selectedMuons.sort(key=lambda l: l.pt(), reverse=True)
event.selectedElectrons.sort(key=lambda l: l.pt(), reverse=True)
event.inclusiveLeptons.sort(key=lambda l: l.pt(), reverse=True)
for lepton in event.selectedLeptons:
if hasattr(self, 'efficiency'):
self.efficiency.attachToObject(lepton)
def makePhotons(self, event):
event.allphotons = map(Photon, self.handles['photons'].product())
event.allphotons.sort(key=lambda l: l.pt(), reverse=True)
def makeAllMuons(self, event):
"""
make a list of all muons, and apply basic corrections to them
"""
# Start from all muons
allmuons = map(Muon, self.handles['muons'].product())
# Muon scale and resolution corrections (if enabled)
if self.cfg_ana.doMuScleFitCorrections:
for mu in allmuons:
self.muscleCorr.correct(mu, event.run)
elif self.cfg_ana.doRochesterCorrections:
for mu in allmuons:
corp4 = rochcor.corrected_p4(mu, event.run)
mu.setP4(corp4)
# Clean up dulicate muons (note: has no effect unless the muon id is removed)
if self.cfg_ana.doSegmentBasedMuonCleaning:
isgood = cmgMuonCleanerBySegments.clean(
self.handles['muons'].product())
newmu = []
for i, mu in enumerate(allmuons):
if isgood[i]: newmu.append(mu)
allmuons = newmu
# Attach the vertex to them, for dxy/dz calculation
for mu in allmuons:
mu.associatedVertex = event.goodVertices[0]
# Compute relIso in 0.3 and 0.4 cones
for mu in allmuons:
mu.absIso03 = (
mu.sourcePtr().pfIsolationR03().sumChargedHadronPt + max(
mu.sourcePtr().pfIsolationR03().sumNeutralHadronEt +
mu.sourcePtr().pfIsolationR03().sumPhotonEt -
mu.sourcePtr().pfIsolationR03().sumPUPt / 2, 0.0))
mu.absIso04 = (
mu.sourcePtr().pfIsolationR04().sumChargedHadronPt + max(
mu.sourcePtr().pfIsolationR04().sumNeutralHadronEt +
mu.sourcePtr().pfIsolationR04().sumPhotonEt -
mu.sourcePtr().pfIsolationR04().sumPUPt / 2, 0.0))
mu.relIso03 = mu.absIso03 / mu.pt()
mu.relIso04 = mu.absIso04 / mu.pt()
return allmuons
def makeAllElectrons(self, event):
"""
make a list of all electrons, and apply basic corrections to them
"""
allelectrons = map(Electron, self.handles['electrons'].product())
## Duplicate removal for fast sim (to be checked if still necessary in latest greatest 5.3.X releases)
allelenodup = []
for e in allelectrons:
dup = False
for e2 in allelenodup:
if abs(e.pt() - e2.pt()) < 1e-6 and abs(e.eta() - e2.eta(
)) < 1e-6 and abs(e.phi() - e2.phi()) < 1e-6 and e.charge(
) == e2.charge():
dup = True
break
if not dup: allelenodup.append(e)
allelectrons = allelenodup
# fill EA for rho-corrected isolation
for ele in allelectrons:
ele.rho = float(self.handles['rhoEle'].product()[0])
SCEta = abs(ele.sourcePtr().superCluster().eta())
if (abs(SCEta) >= 0.0 and abs(SCEta) < 1.0):
ele.EffectiveArea = 0.13 # 0.130;
if (abs(SCEta) >= 1.0 and abs(SCEta) < 1.479):
ele.EffectiveArea = 0.14 # 0.137;
if (abs(SCEta) >= 1.479 and abs(SCEta) < 2.0):
ele.EffectiveArea = 0.07 # 0.067;
if (abs(SCEta) >= 2.0 and abs(SCEta) < 2.2):
ele.EffectiveArea = 0.09 # 0.089;
if (abs(SCEta) >= 2.2 and abs(SCEta) < 2.3):
ele.EffectiveArea = 0.11 # 0.107;
if (abs(SCEta) >= 2.3 and abs(SCEta) < 2.4):
ele.EffectiveArea = 0.11 # 0.110;
if (abs(SCEta) >= 2.4): ele.EffectiveArea = 0.14 # 0.138;
# Electron scale calibrations
if self.cfg_ana.doElectronScaleCorrections:
for ele in allelectrons:
self.electronEnergyCalibrator.correct(ele, event.run)
# Attach the vertex
for ele in allelectrons:
ele.associatedVertex = event.goodVertices[0]
# Compute relIso with R=0.3 and R=0.4 cones
for ele in allelectrons:
ele.absIso03 = (ele.chargedHadronIso(0.3) + max(
ele.neutralHadronIso(0.3) + ele.photonIso(0.3) -
ele.rho * ele.EffectiveArea, 0))
ele.absIso04 = (ele.chargedHadronIso(0.4) + max(
ele.neutralHadronIso(0.4) + ele.photonIso(0.4) -
ele.rho * ele.EffectiveArea, 0))
ele.relIso03 = ele.absIso03 / ele.pt()
ele.relIso04 = ele.absIso04 / ele.pt()
# Set tight MVA id
for ele in allelectrons:
ele.tightIdResult = ele.electronID("POG_MVA_ID_Trig")
return allelectrons
def process(self, iEvent, event):
self.readCollections(iEvent)
self.counters.counter('events').inc('all events')
#call the leptons/photons functions
self.makeLeptons(event)
self.makePhotons(event)
return True
class ttHLepAnalyzerBase( Analyzer ):
def __init__(self, cfg_ana, cfg_comp, looperName ):
super(ttHLepAnalyzerBase,self).__init__(cfg_ana,cfg_comp,looperName)
if self.cfg_ana.doMuScleFitCorrections and self.cfg_ana.doMuScleFitCorrections != "none":
if self.cfg_ana.doMuScleFitCorrections not in [ "none", "prompt", "prompt-sync", "rereco", "rereco-sync" ]:
raise RuntimeError, 'doMuScleFitCorrections must be one of "none", "prompt", "prompt-sync", "rereco", "rereco-sync"'
rereco = ("prompt" not in self.cfg_ana.doMuScleFitCorrections)
sync = ("sync" in self.cfg_ana.doMuScleFitCorrections)
self.muscleCorr = MuScleFitCorr(cfg_comp.isMC, rereco, sync)
if hasattr(self.cfg_ana, "doRochesterCorrections") and self.cfg_ana.doRochesterCorrections:
raise RuntimeError, "You can't run both Rochester and MuScleFit corrections!"
else:
self.cfg_ana.doMuScleFitCorrections = False
if self.cfg_ana.doElectronScaleCorrections == "embedded":
self.electronEnergyCalibrator = EmbeddedElectronCalibrator()
else:
self.electronEnergyCalibrator = ElectronCalibrator(cfg_comp.isMC)
if hasattr(cfg_comp,'efficiency'):
self.efficiency= EfficiencyCorrector(cfg_comp.efficiency)
self.relaxId = cfg_ana.relaxId if hasattr(cfg_ana,'relaxId') else False
#----------------------------------------
# DECLARATION OF HANDLES OF LEPTONS STUFF
#----------------------------------------
def declareHandles(self):
super(ttHLepAnalyzerBase, self).declareHandles()
#leptons
self.handles['muons'] = AutoHandle(self.cfg_ana.muons,"std::vector<cmg::Muon>")
self.handles['electrons'] = AutoHandle(self.cfg_ana.electrons,"std::vector<cmg::Electron>")
#rho for muons
self.handles['rhoMu'] = AutoHandle( (self.cfg_ana.rhoMuon, 'rho'),
'double')
#rho for electrons
self.handles['rhoEle'] = AutoHandle( (self.cfg_ana.rhoElectron, 'rho'),
'double')
#photons (a la hzz4l definition)
self.handles['photons'] = AutoHandle( ('cmgPhotonSel',''),'std::vector<cmg::Photon>')
## dEdX
#self.handles['dEdX'] = AutoHandle( ('dedxHarmonic2','','RECO'), 'edm::ValueMap<reco::DeDxData>' )
def beginLoop(self):
super(ttHLepAnalyzerBase,self).beginLoop()
self.counters.addCounter('events')
count = self.counters.counter('events')
count.register('all events')
count.register('vetoed events')
count.register('accepted events')
#------------------
# MAKE LEPTON LISTS
#------------------
# the muons are already corrected with Rochester corrections, are already cleaned with the ghost cleaning
# the electrons have already the electron energy regression and calibration applied
# the V5_10_0 cmgTuple, have been corrected with Mike's patch for the SIP computation -> cmgMuons have been remade ->
# (cvs up -r michalis_sipPatchBranch CMGTools/Common/src/MuonFactory.cc)
# nb: the event vertex needs to be defined first -> using the vertex analyzer
# nb: in the following dxy and dz are computed with respect to the PV good vertex, sip with respect to the PV
def makeLeptons(self, event):
event.looseLeptons = []
event.selectedLeptons = []
event.inclusiveLeptons = []
#muons
allmuons = map( Muon, self.handles['muons'].product() )
if self.cfg_ana.doRecomputeSIP3D:
for mu in allmuons:
if mu.sourcePtr().innerTrack().isNonnull():
## compute the variable and set it
mu._sip3d = abs(signedSip3D(mu, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
mu.sip3D = types.MethodType(lambda self : self._sip3d, mu, mu.__class__)
if self.cfg_ana.doMuScleFitCorrections:
for mu in allmuons:
self.muscleCorr.correct(mu, event.run)
elif self.cfg_ana.doRochesterCorrections:
for mu in allmuons:
corp4 = rochcor.corrected_p4(mu, event.run)
mu.setP4( corp4 )
if self.cfg_ana.doSegmentBasedMuonCleaning:
isgood = cmgMuonCleanerBySegments.clean( self.handles['muons'].product() )
newmu = []
for i,mu in enumerate(allmuons):
if isgood[i]: newmu.append(mu)
allmuons = newmu
for mu in allmuons:
mu.associatedVertex = event.goodVertices[0]
if (mu.isGlobal() or mu.isTracker() and mu.numberOfMatches()>0) and mu.pt()>5 and abs(mu.eta())<2.4 and abs(mu.dxy())<0.5 and abs(mu.dz())<1.:
#pid = mu.sourcePtr().originalObject().track().id()
#key = mu.sourcePtr().originalObject().track().key()
#mu.dEdX = self.handles['dEdX'].product().get(pid,key)
if mu.sourcePtr().userFloat("isPFMuon")>0.5 and mu.sip3D() < self.cfg_ana.sip3dCut and mu.relIso(dBetaFactor=0.5)<self.cfg_ana.isolationCut:
event.selectedLeptons.append(mu)
else:
event.looseLeptons.append(mu)
if mu.sourcePtr().userFloat("isPFMuon")>0.5 and mu.sip3D() < self.cfg_ana.sip3dCutVeryLoose:
event.inclusiveLeptons.append(mu)
#electrons
allelectrons = map( Electron, self.handles['electrons'].product() )
## duplicate removal for fast sim (to be checked if still necessary in 5_3_12+)
allelenodup = []
for e in allelectrons:
dup = False
for e2 in allelenodup:
if abs(e.pt()-e2.pt()) < 1e-6 and abs(e.eta()-e2.eta()) < 1e-6 and abs(e.phi()-e2.phi()) < 1e-6 and e.charge() == e2.charge():
dup = True
break
if not dup: allelenodup.append(e)
allelectrons = allelenodup
if self.cfg_ana.doRecomputeSIP3D:
for ele in allelectrons:
if ele.sourcePtr().gsfTrack().isNonnull():
## compute the variable and set it
ele._sip3d = abs(signedSip3D(ele, event.goodVertices[0]))
## attach it to the object redefining the sip3D() method
ele.sip3D = types.MethodType(lambda self : self._sip3d, ele, ele.__class__)
# fill EA for rho-corrected isolation
for ele in allelectrons:
ele.rho = float(self.handles['rhoEle'].product()[0])
SCEta = abs(ele.sourcePtr().superCluster().eta())
if (abs(SCEta) >= 0.0 and abs(SCEta) < 1.0 ) : ele.EffectiveArea = 0.130;
if (abs(SCEta) >= 1.0 and abs(SCEta) < 1.479 ) : ele.EffectiveArea = 0.137;
if (abs(SCEta) >= 1.479 and abs(SCEta) < 2.0 ) : ele.EffectiveArea = 0.067;
if (abs(SCEta) >= 2.0 and abs(SCEta) < 2.2 ) : ele.EffectiveArea = 0.089;
if (abs(SCEta) >= 2.2 and abs(SCEta) < 2.3 ) : ele.EffectiveArea = 0.107;
if (abs(SCEta) >= 2.3 and abs(SCEta) < 2.4 ) : ele.EffectiveArea = 0.110;
if (abs(SCEta) >= 2.4) : ele.EffectiveArea = 0.138;
if self.cfg_ana.doElectronScaleCorrections:
for ele in allelectrons:
self.electronEnergyCalibrator.correct(ele, event.run)
muForEleCrossCleaning = []
if self.cfg_ana.doEleMuCrossCleaning:
for mu in event.selectedLeptons + event.looseLeptons:
if abs(mu.pdgId()) == 13 and (mu.isGlobal() or mu.sourcePtr().userFloat("isPFMuon")>0.5):
muForEleCrossCleaning.append(mu)
for ele in allelectrons:
ele.associatedVertex = event.goodVertices[0]
## remove muons if muForEleCrossCleaning is not empty
if bestMatch(ele, muForEleCrossCleaning)[1] < 0.02: continue
## apply selection
if ele.pt()>7 and abs(ele.eta())<2.5 and abs(ele.dxy())<0.5 and abs(ele.dz())<1. and ele.numberOfHits()<=1:
## fill tightId:
if (ele.pt() > 20):
SCEta = abs(ele.sourcePtr().superCluster().eta())
if SCEta < 0.8: ele.tightIdResult = (ele.mvaTrigV0() > 0.00)
elif SCEta < 1.479: ele.tightIdResult = (ele.mvaTrigV0() > 0.10)
else: ele.tightIdResult = (ele.mvaTrigV0() > 0.62)
elif (ele.pt() > 10):
if SCEta < 0.8: ele.tightIdResult = (ele.mvaTrigV0() > 0.94)
elif SCEta < 1.479: ele.tightIdResult = (ele.mvaTrigV0() > 0.85)
else: ele.tightIdResult = (ele.mvaTrigV0() > 0.92)
else:
ele.tightIdResult = False
if (self.relaxId or ele.mvaIDZZ() and ele.sip3D() < self.cfg_ana.sip3dCut) and ele.relIso(dBetaFactor=0.5)<self.cfg_ana.isolationCut:
event.selectedLeptons.append(ele)
else:
event.looseLeptons.append(ele)
if (self.relaxId or ele.mvaIDZZ()) and ele.sip3D() < self.cfg_ana.sip3dCutVeryLoose:
event.inclusiveLeptons.append(ele)
event.looseLeptons.sort(key = lambda l : l.pt(), reverse = True)
event.selectedLeptons.sort(key = lambda l : l.pt(), reverse = True)
event.inclusiveLeptons.sort(key = lambda l : l.pt(), reverse = True)
for lepton in event.selectedLeptons:
if hasattr(self,'efficiency'):
self.efficiency.attachToObject(lepton)
#print "Found ",len(event.looseLeptons)," loose leptons"
#print "Found ",len(event.selectedLeptons)," good leptons"
def makePhotons(self, event):
event.allphotons = map( Photon, self.handles['photons'].product() )
event.allphotons.sort(key = lambda l : l.pt(), reverse = True)
def process(self, iEvent, event):
self.readCollections( iEvent )
self.counters.counter('events').inc('all events')
eventNumber = iEvent.eventAuxiliary().id().event()
#print 'Event ',eventNumber
#import pdb; pdb.set_trace()
#call the leptons/photons functions
self.makeLeptons(event)
self.makePhotons(event)
ret = False
if len(event.selectedLeptons) >= self.cfg_ana.minGoodLeptons:
ret = True
if hasattr(self.cfg_ana, 'minInclusiveLeptons') and len(event.inclusiveLeptons) < self.cfg_ana.minInclusiveLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
if hasattr(self.cfg_ana, 'maxGoodLeptons') and len(event.selectedLeptons) > self.cfg_ana.maxGoodLeptons:
if ret: self.counters.counter('events').inc('vetoed events')
ret = False
#if self.cfg_ana.doSSLeptons and len(event.selectedLeptons) >= 2:
# if event.selectedLeptons[0].charge() == event.selectedLeptons[1].charge():
# ret = True
if ret: self.counters.counter('events').inc('accepted events')
return ret
