def ToEvent(self, iEv):
'''Navigate to a given event and process it.'''
# output event structure
self.event = Event()
# navigating to the correct FWLite event
self.iEvent = iEv
self.events.to(iEv)
self.LoadCollections(self.events)
# reading CMG objects from the handle
#COLIN this kind of stuff could be automatized
cmgDiTaus = self.handles['cmgTauMuCorFullSelSVFit'].product()
cmgLeptons = self.handles['leptons'].product()
self.event.triggerObject = self.handles['cmgTriggerObjectSel'].product(
)[0]
self.event.vertices = self.handles['vertices'].product()
cmgJets = self.handles['jets'].product()
# converting them into my own python objects
self.event.diTaus = [DiTau(diTau) for diTau in cmgDiTaus]
self.event.leptons = [Lepton(lepton) for lepton in cmgLeptons]
self.event.jets = [
Jet(jet) for jet in cmgJets if testJet(jet, self.cfg.cuts)
]
self.event.jets = []
for cmgJet in cmgJets:
if not testJet(jet, self.cfg.cuts):
continue
jet = Jet(cmgJet)
# print jet.energy()
jet.scaleEnergy(1)
# print jet.energy()
self.event.jets.append(jet)
self.counters.counter('triggerPassed').inc('a: All events')
if not self.triggerList.triggerPassed(self.event.triggerObject):
return False
self.counters.counter('triggerPassed').inc('b: Trig OK ')
self.counters.counter('exactlyOneDiTau').inc('a: any # of di-taus ')
if len(self.event.diTaus) == 0:
print 'Event %d : No tau mu.' % i
return False
if len(self.event.diTaus) > 1:
# print 'Event %d : Too many tau-mus: n = %d' % (iEv, len(self.event.diTaus))
#COLIN could be nice to have a counter class
# which knows why events are rejected. make histograms with that.
self.logger.warning('Ev %d: more than 1 di-tau : n = %d' %
(iEv, len(self.event.diTaus)))
self.counters.counter('exactlyOneDiTau').inc('b: at least 1 di-tau ')
if not leptonAccept(self.event.leptons):
return False
self.counters.counter('exactlyOneDiTau').inc('c: exactly one lepton ')
self.event.diTau = self.event.diTaus[0]
if len(self.event.diTaus) > 1:
self.event.diTau = bestDiTau(self.event.diTaus)
elif len(self.event.diTaus) == 1:
self.counters.counter('exactlyOneDiTau').inc(
'd: exactly 1 di-tau ')
else:
raise ValueError('should not happen!')
cuts = self.cfg.cuts
self.counters.counter('singleDiTau').inc('a: best di-tau')
self.event.tau = Tau(self.event.diTau.leg1())
if self.event.tau.calcEOverP() > 0.2:
self.counters.counter('singleDiTau').inc('b: E/p > 0.2 ')
else:
return False
if self.event.tau.pt() > cuts.tauPt:
self.counters.counter('singleDiTau').inc(
'c: tau pt > {ptCut:3.1f}'.format(ptCut=cuts.tauPt))
else:
return False
self.event.lepton = Lepton(self.event.diTau.leg2())
if self.event.lepton.pt() > cuts.lepPt:
self.counters.counter('singleDiTau').inc(
'd: lep pt > {ptCut:3.1f}'.format(ptCut=cuts.lepPt))
else:
return False
if abs(self.event.lepton.eta()) < cuts.lepEta:
self.counters.counter('singleDiTau').inc(
'e: lep |eta| <{etaCut:3.1f}'.format(etaCut=cuts.lepEta))
else:
return False
self.counters.counter('VBF').inc('a: all events ')
if len(self.event.jets) > 1:
self.counters.counter('VBF').inc('b: at least 2 jets ')
self.event.vbf = VBF(self.event.jets)
if self.event.vbf.mjj > cuts.VBF_Mjj:
self.counters.counter('VBF').inc(
'c: Mjj > {mjj:3.1f}'.format(mjj=cuts.VBF_Mjj))
if abs(self.event.vbf.deta) > cuts.VBF_Deta:
self.counters.counter('VBF').inc(
'd: deta > {deta:3.1f}'.format(deta=cuts.VBF_Deta))
if len(self.event.vbf.centralJets) == 0:
self.counters.counter('VBF').inc('e: no central jet ')
# print self.event.vbf
self.event.eventWeight = 1
# self.event.triggerWeight = 1
self.event.vertexWeight = 1
self.event.tauEffWeight = 1
self.event.lepEffWeight = 1
if self.cmp.isMC:
self.event.vertexWeight = self.handles['vertexWeight'].product()[0]
self.event.eventWeight *= self.event.vertexWeight
if self.trigEff.tauEff is not None:
self.event.tauEffWeight = self.trigEff.tauEff(
self.event.tau.pt())
if self.trigEff.lepEff is not None:
self.event.lepEffWeight = self.trigEff.lepEff(
self.event.lepton.pt(), self.event.lepton.eta())
self.event.eventWeight = self.event.vertexWeight * \
self.event.tauEffWeight * \
self.event.lepEffWeight
# if self.cmp.turnOnCurve is not None:
# self.event.triggerWeight = self.cmp.turnOnCurve.weight(
# self.event.tau.pt() )
# self.event.eventWeight *= self.event.triggerWeight
# self.averages['triggerWeight'].add( self.event.triggerWeight )
self.averages['tauEffWeight'].add(self.event.tauEffWeight)
self.averages['lepEffWeight'].add(self.event.lepEffWeight)
self.averages['vertexWeight'].add(self.event.vertexWeight)
self.averages['eventWeight'].add(self.event.eventWeight)
# exclusive analysis
regionName = self.regions.test(self.event)
histoList = self.histoLists[regionName]
histoList.Fill(self.event, self.event.eventWeight)
# inclusive analysis
incRegionName = inclusiveRegionName(regionName)
histoList = self.histoLists[incRegionName]
histoList.Fill(self.event, self.event.eventWeight)
return True
def ToEvent( self, iEv ):
'''Navigate to a given event and process it.'''
# output event structure
self.event = Event()
# navigating to the correct FWLite event
self.iEvent = iEv
self.events.to(iEv)
self.LoadCollections(self.events)
# reading CMG objects from the handle
#COLIN this kind of stuff could be automatized
cmgDiTaus = self.handles['cmgTauMuCorFullSelSVFit'].product()
cmgLeptons = self.handles['leptons'].product()
self.event.triggerObject = self.handles['cmgTriggerObjectSel'].product()[0]
self.event.vertices = self.handles['vertices'].product()
cmgJets = self.handles['jets'].product()
# converting them into my own python objects
self.event.diTaus = [ DiTau(diTau) for diTau in cmgDiTaus ]
self.event.leptons = [ Lepton(lepton) for lepton in cmgLeptons ]
self.event.jets = [ Jet(jet) for jet in cmgJets if testJet(jet, self.cfg.cuts) ]
self.event.jets = []
for cmgJet in cmgJets:
if not testJet( jet, self.cfg.cuts):
continue
jet = Jet( cmgJet )
# print jet.energy()
jet.scaleEnergy( 1 )
# print jet.energy()
self.event.jets.append(jet)
self.counters.counter('triggerPassed').inc('a: All events')
if not self.triggerList.triggerPassed(self.event.triggerObject):
return False
self.counters.counter('triggerPassed').inc('b: Trig OK ')
self.counters.counter('exactlyOneDiTau').inc('a: any # of di-taus ')
if len(self.event.diTaus)==0:
print 'Event %d : No tau mu.' % i
return False
if len(self.event.diTaus)>1:
# print 'Event %d : Too many tau-mus: n = %d' % (iEv, len(self.event.diTaus))
#COLIN could be nice to have a counter class
# which knows why events are rejected. make histograms with that.
self.logger.warning('Ev %d: more than 1 di-tau : n = %d' % (iEv,
len(self.event.diTaus)))
self.counters.counter('exactlyOneDiTau').inc('b: at least 1 di-tau ')
if not leptonAccept(self.event.leptons):
return False
self.counters.counter('exactlyOneDiTau').inc('c: exactly one lepton ')
self.event.diTau = self.event.diTaus[0]
if len(self.event.diTaus)>1:
self.event.diTau = bestDiTau( self.event.diTaus )
elif len(self.event.diTaus)==1:
self.counters.counter('exactlyOneDiTau').inc('d: exactly 1 di-tau ')
else:
raise ValueError('should not happen!')
cuts = self.cfg.cuts
self.counters.counter('singleDiTau').inc('a: best di-tau')
self.event.tau = Tau( self.event.diTau.leg1() )
if self.event.tau.calcEOverP() > 0.2:
self.counters.counter('singleDiTau').inc('b: E/p > 0.2 ')
else:
return False
if self.event.tau.pt()>cuts.tauPt:
self.counters.counter('singleDiTau').inc('c: tau pt > {ptCut:3.1f}'.format(ptCut = cuts.tauPt))
else:
return False
self.event.lepton = Lepton( self.event.diTau.leg2() )
if self.event.lepton.pt()>cuts.lepPt:
self.counters.counter('singleDiTau').inc('d: lep pt > {ptCut:3.1f}'.format(ptCut = cuts.lepPt))
else:
return False
if abs( self.event.lepton.eta() ) < cuts.lepEta:
self.counters.counter('singleDiTau').inc('e: lep |eta| <{etaCut:3.1f}'.format(etaCut = cuts.lepEta))
else:
return False
self.counters.counter('VBF').inc('a: all events ')
if len(self.event.jets)>1:
self.counters.counter('VBF').inc('b: at least 2 jets ')
self.event.vbf = VBF( self.event.jets )
if self.event.vbf.mjj > cuts.VBF_Mjj:
self.counters.counter('VBF').inc('c: Mjj > {mjj:3.1f}'.format(mjj = cuts.VBF_Mjj))
if abs(self.event.vbf.deta) > cuts.VBF_Deta:
self.counters.counter('VBF').inc('d: deta > {deta:3.1f}'.format(deta = cuts.VBF_Deta))
if len(self.event.vbf.centralJets)==0:
self.counters.counter('VBF').inc('e: no central jet ')
# print self.event.vbf
self.event.eventWeight = 1
# self.event.triggerWeight = 1
self.event.vertexWeight = 1
self.event.tauEffWeight = 1
self.event.lepEffWeight = 1
if self.cmp.isMC:
self.event.vertexWeight = self.handles['vertexWeight'].product()[0]
self.event.eventWeight *= self.event.vertexWeight
if self.trigEff.tauEff is not None:
self.event.tauEffWeight = self.trigEff.tauEff(self.event.tau.pt())
if self.trigEff.lepEff is not None:
self.event.lepEffWeight = self.trigEff.lepEff(
self.event.lepton.pt(),
self.event.lepton.eta() )
self.event.eventWeight = self.event.vertexWeight * \
self.event.tauEffWeight * \
self.event.lepEffWeight
# if self.cmp.turnOnCurve is not None:
# self.event.triggerWeight = self.cmp.turnOnCurve.weight(
# self.event.tau.pt() )
# self.event.eventWeight *= self.event.triggerWeight
# self.averages['triggerWeight'].add( self.event.triggerWeight )
self.averages['tauEffWeight'].add( self.event.tauEffWeight )
self.averages['lepEffWeight'].add( self.event.lepEffWeight )
self.averages['vertexWeight'].add( self.event.vertexWeight )
self.averages['eventWeight'].add( self.event.eventWeight )
# exclusive analysis
regionName = self.regions.test( self.event )
histoList = self.histoLists[regionName]
histoList.Fill( self.event, self.event.eventWeight )
# inclusive analysis
incRegionName = inclusiveRegionName( regionName )
histoList = self.histoLists[incRegionName]
histoList.Fill( self.event, self.event.eventWeight )
return True
def process( self, iEv ):
'''Navigate to a given event and process it.'''
# output event structure
self.event = Event()
# navigating to the correct FWLite event
self.iEvent = iEv
self.events.to(iEv)
self.LoadCollections(self.events)
# reading CMG objects from the handle
#COLIN this kind of stuff could be automatized
cmgDiTaus = self.handles['diTau'].product()
cmgLeptons = self.handles['leptons'].product()
self.event.triggerObject = self.handles['cmgTriggerObjectSel'].product()[0]
self.event.vertices = self.handles['vertices'].product()
cmgJets = self.handles['jets'].product()
if self.cmp.isMC:
genParticles = self.mchandles['genParticles'].product()
self.event.genParticles = map( GenParticle, genParticles)
# converting them into my own python objects
self.event.diTaus = [ DiTau(diTau) for diTau in cmgDiTaus ]
self.event.leptons = [ Lepton(lepton) for lepton in cmgLeptons ]
# self.event.dirtyJets = [ Jet(jet) for jet in cmgJets if testJet(jet, self.cfg.cuts) ]
self.event.dirtyJets = []
for cmgJet in cmgJets:
jet = Jet( cmgJet )
if self.cmp.isMC:
scale = random.gauss( self.cmp.jetScale, self.cmp.jetSmear)
jet.scaleEnergy( scale )
if not testJet( cmgJet, self.cfg.cuts):
continue
self.event.dirtyJets.append(jet)
self.counters.counter('triggerPassed').inc('a: All events')
if not self.triggerList.triggerPassed(self.event.triggerObject):
return False
self.counters.counter('triggerPassed').inc('b: Trig OK ')
self.counters.counter('exactlyOneDiTau').inc('a: any # of di-taus ')
if len(self.event.diTaus)==0:
print 'Event %d : No di-tau.' % i
return False
if len(self.event.diTaus)>1:
# print 'Event %d : Too many tau-mus: n = %d' % (iEv, len(self.event.diTaus))
#COLIN could be nice to have a counter class
# which knows why events are rejected. make histograms with that.
self.logger.warning('Ev %d: more than 1 di-tau : n = %d' % (iEv,
len(self.event.diTaus)))
self.counters.counter('exactlyOneDiTau').inc('b: at least 1 di-tau ')
#MUONS
if not self.leptonAccept(self.event.leptons):
return False
self.counters.counter('exactlyOneDiTau').inc('c: exactly one lepton ')
self.event.diTau = self.event.diTaus[0]
if len(self.event.diTaus)>1:
self.event.diTau = bestDiTau( self.event.diTaus )
elif len(self.event.diTaus)==1:
self.counters.counter('exactlyOneDiTau').inc('d: exactly 1 di-tau ')
else:
raise ValueError('should not happen!')
cuts = self.cfg.cuts
self.counters.counter('singleDiTau').inc('a: best di-tau')
self.event.tau = Tau( self.event.diTau.leg1() )
if self.event.tau.decayMode() == 0 and \
self.event.tau.calcEOverP() < 0.2: #MUONS
return False
else:
self.counters.counter('singleDiTau').inc('b: E/p > 0.2 ')
if self.event.tau.pt()>cuts.tauPt:
self.counters.counter('singleDiTau').inc('c: tau pt > {ptCut:3.1f}'.format(ptCut = cuts.tauPt))
else:
return False
self.event.lepton = Lepton( self.event.diTau.leg2() )
if self.event.lepton.pt()>cuts.lepPt:
self.counters.counter('singleDiTau').inc('d: lep pt > {ptCut:3.1f}'.format(ptCut = cuts.lepPt))
else:
return False
if abs( self.event.lepton.eta() ) < cuts.lepEta:
self.counters.counter('singleDiTau').inc('e: lep |eta| <{etaCut:3.1f}'.format(etaCut = cuts.lepEta))
else:
return False
################## Starting from here, we have the di-tau ###############
# clean up jet collection
self.event.jets = cleanObjectCollection( self.event.dirtyJets,
masks = [self.event.diTau.leg1(),
self.event.diTau.leg2() ],
deltaRMin = 0.5 )
# print '-----------'
# if len(self.event.dirtyJets)>0:
# print 'Dirty:'
# print '\n\t'.join( map(str, self.event.dirtyJets) )
# print self.event.diTau
# print 'Clean:'
# print '\n\t'.join( map(str, self.event.jets) )
self.counters.counter('VBF').inc('a: all events ')
if len(self.event.jets)>1:
self.counters.counter('VBF').inc('b: at least 2 jets ')
self.event.vbf = VBF( self.event.jets )
if self.event.vbf.mjj > cuts.VBF_Mjj:
self.counters.counter('VBF').inc('c: Mjj > {mjj:3.1f}'.format(mjj = cuts.VBF_Mjj))
if abs(self.event.vbf.deta) > cuts.VBF_Deta:
self.counters.counter('VBF').inc('d: deta > {deta:3.1f}'.format(deta = cuts.VBF_Deta))
if len(self.event.vbf.centralJets)==0:
self.counters.counter('VBF').inc('e: no central jet ')
matched = None
if self.cmp.name == 'DYJets':
leg1DeltaR, leg2DeltaR = self.event.diTau.match( self.event.genParticles )
if leg1DeltaR>-1 and leg1DeltaR < 0.1 and \
leg2DeltaR>-1 and leg2DeltaR < 0.1:
matched = True
else:
matched = False
self.event.eventWeight = 1
# self.event.triggerWeight = 1
self.event.vertexWeight = 1
self.event.tauEffWeight = 1
self.event.lepEffWeight = 1
self.event.generatorWeight = 1
if self.cmp.isMC:
self.event.vertexWeight = self.handles['vertexWeight'].product()[0]
if self.cmp.isEmbed:
self.event.generatorWeight = self.embhandles['generatorWeight'].product()[0]
if self.cmp.isMC or self.cmp.isEmbed:
if self.trigEff.tauEff is not None:
self.event.tauEffWeight = self.trigEff.tauEff(self.event.tau.pt())
#MUONS
if self.trigEff.lepEff is not None:
self.event.lepEffWeight = self.trigEff.lepEff( self.event.lepton.pt(),
self.event.lepton.eta() )
self.event.eventWeight = self.event.vertexWeight * \
self.event.tauEffWeight * \
self.event.lepEffWeight * \
self.event.generatorWeight
# self.averages['triggerWeight'].add( self.event.triggerWeight )
self.averages['tauEffWeight'].add( self.event.tauEffWeight )
self.averages['lepEffWeight'].add( self.event.lepEffWeight )
self.averages['vertexWeight'].add( self.event.vertexWeight )
self.averages['generatorWeight'].add( self.event.generatorWeight )
self.averages['eventWeight'].add( self.event.eventWeight )
regionName = self.regions.test( self.event )
if matched is None or matched is True:
self.output.Fill( self.event, regionName )
elif matched is False:
self.outputFakes.Fill( self.event, regionName )
else:
raise ValueError('should not happen!')
return True