def process(self, event): self.readCollections(event.input) miniaodjets = self.handles['jets'].product() allJets = [] event.jets = [] event.bJets = [] event.cleanJets = [] event.cleanBJets = [] leptons = [] if hasattr(event, 'selectedLeptons'): leptons = event.selectedLeptons genJets = None if self.cfg_comp.isMC: genJets = map(GenJet, self.mchandles['genJets'].product()) for maodjet in miniaodjets: jet = Jet(maodjet) allJets.append(jet) if self.cfg_comp.isMC and hasattr(self.cfg_comp, 'jetScale'): scale = random.gauss(self.cfg_comp.jetScale, self.cfg_comp.jetSmear) jet.scaleEnergy(scale) if genJets: # Use DeltaR = 0.25 matching like JetMET pairs = matchObjectCollection([jet], genJets, 0.25 * 0.25) if pairs[jet] is None: pass else: jet.matchedGenJet = pairs[jet] # Add JER correction for MC jets. Requires gen-jet matching. if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr: self.jerCorrection(jet) # Add JES correction for MC jets. if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jesCorr'): self.jesCorrection(jet, self.cfg_ana.jesCorr) if self.testJet(jet): event.jets.append(jet) if self.testBJet(jet): event.bJets.append(jet) self.counters.counter('jets').inc('all events') event.cleanJets, dummy = cleanObjectCollection(event.jets, masks=leptons, deltaRMin=0.5) event.cleanBJets, dummy = cleanObjectCollection(event.bJets, masks=leptons, deltaRMin=0.5) pairs = matchObjectCollection(leptons, allJets, 0.5 * 0.5) # associating a jet to each lepton for lepton in leptons: jet = pairs[lepton] if jet is None: lepton.jet = lepton else: lepton.jet = jet # associating a leg to each clean jet invpairs = matchObjectCollection(event.cleanJets, leptons, 99999.) for jet in event.cleanJets: leg = invpairs[jet] jet.leg = leg for jet in event.cleanJets: jet.matchGenParton = 999.0 if self.cfg_comp.isMC and "BB" in self.cfg_comp.name: genParticles = self.mchandles['genParticles'].product() event.genParticles = map(GenParticle, genParticles) for gen in genParticles: if abs(gen.pdgId()) == 5 and gen.mother() and abs(gen.mother().pdgId()) == 21: for jet in event.cleanJets: dR = deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi()) if dR < jet.matchGenParton: jet.matchGenParton = dR event.jets30 = [jet for jet in event.jets if jet.pt() > 30] event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt() > 30] if len(event.jets30) >= 2: self.counters.counter('jets').inc('at least 2 good jets') if len(event.cleanJets30) >= 2: self.counters.counter('jets').inc('at least 2 clean jets') if len(event.cleanBJets) > 0: self.counters.counter('jets').inc('at least 1 b jet') if len(event.cleanBJets) > 1: self.counters.counter('jets').inc('at least 2 b jets') return True
def process(self, event): self.readCollections(event.input) miniaodjets = self.handles['jets'].product() allJets = [] event.jets = [] event.bJets = [] event.cleanJets = [] event.cleanBJets = [] leptons = [] if hasattr(event, 'selectedLeptons'): leptons = event.selectedLeptons genJets = None if self.cfg_comp.isMC: genJets = map(GenJet, self.mchandles['genJets'].product()) for maodjet in miniaodjets: jet = Jet(maodjet) allJets.append(jet) if self.cfg_comp.isMC and hasattr(self.cfg_comp, 'jetScale'): scale = random.gauss(self.cfg_comp.jetScale, self.cfg_comp.jetSmear) jet.scaleEnergy(scale) if genJets: # Use DeltaR = 0.25 matching like JetMET pairs = matchObjectCollection([jet], genJets, 0.25 * 0.25) if pairs[jet] is None: pass else: jet.matchedGenJet = pairs[jet] #Add JER correction for MC jets. Requires gen-jet matching. if self.cfg_comp.isMC and hasattr( self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr: self.jerCorrection(jet) #Add JES correction for MC jets. if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jesCorr'): self.jesCorrection(jet, self.cfg_ana.jesCorr) if self.testJet(jet): event.jets.append(jet) if self.testBJet(jet): event.bJets.append(jet) self.counters.counter('jets').inc('all events') event.cleanJets, dummy = cleanObjectCollection(event.jets, masks=leptons, deltaRMin=0.5) event.cleanBJets, dummy = cleanObjectCollection(event.bJets, masks=leptons, deltaRMin=0.5) pairs = matchObjectCollection(leptons, allJets, 0.5 * 0.5) # associating a jet to each lepton for lepton in leptons: jet = pairs[lepton] if jet is None: lepton.jet = lepton else: lepton.jet = jet # associating a leg to each clean jet invpairs = matchObjectCollection(event.cleanJets, leptons, 99999.) for jet in event.cleanJets: leg = invpairs[jet] jet.leg = leg for jet in event.cleanJets: jet.matchGenParton = 999.0 if self.cfg_comp.isMC and "BB" in self.cfg_comp.name: genParticles = self.mchandles['genParticles'].product() event.genParticles = map(GenParticle, genParticles) for gen in genParticles: if abs(gen.pdgId()) == 5 and gen.mother() and abs( gen.mother().pdgId()) == 21: for jet in event.cleanJets: dR = deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi()) if dR < jet.matchGenParton: jet.matchGenParton = dR event.jets30 = [jet for jet in event.jets if jet.pt() > 30] event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt() > 30] if len(event.jets30) >= 2: self.counters.counter('jets').inc('at least 2 good jets') if len(event.cleanJets30) >= 2: self.counters.counter('jets').inc('at least 2 clean jets') if len(event.cleanBJets) > 0: self.counters.counter('jets').inc('at least 1 b jet') if len(event.cleanBJets) > 1: self.counters.counter('jets').inc('at least 2 b jets') return True
def process(self, event): self.readCollections(event.input) cmgJets = self.handles['jets'].product() allJets = [] event.jets = [] event.bJets = [] event.cleanJets = [] event.cleanBJets = [] leg1 = event.diLepton.leg1() leg2 = event.diLepton.leg2() genJets = None if self.cfg_comp.isMC: genJets = map(GenJet, self.mchandles['genJets'].product()) for cmgJet in cmgJets: jet = Jet(cmgJet) allJets.append(jet) if self.cfg_comp.isMC and hasattr(self.cfg_comp, 'jetScale'): scale = random.gauss(self.cfg_comp.jetScale, self.cfg_comp.jetSmear) jet.scaleEnergy(scale) if self.testJet(jet): event.jets.append(jet) if self.testBJet(jet): event.bJets.append(jet) if genJets: # Use DeltaR = 0.25 matching like JetMET pairs = matchObjectCollection([jet], genJets, 0.25 * 0.25) if pairs[jet] is None: pass else: jet.matchedGenJet = pairs[jet] #Add JER correction for MC jets. Requires gen-jet matching if self.cfg_comp.isMC and hasattr( self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr: self.jerCorrection(jet) self.counters.counter('VBF').inc('all events') event.cleanJets, dummy = cleanObjectCollection(event.jets, masks=[leg1, leg2], deltaRMin=0.5) event.cleanBJets, dummy = cleanObjectCollection(event.bJets, masks=[leg1, leg2], deltaRMin=0.5) pairs = matchObjectCollection([leg1, leg2], allJets, 0.5 * 0.5) # associating a jet to each leg leg1.jet = pairs[leg1] leg2.jet = pairs[leg2] if leg1.jet is None: #COLIN: I don't understand the code below... leg1.jet = leg1 if leg2.jet is None: leg2.jet = leg2 # associating a leg to each clean jet invpairs = matchObjectCollection(event.cleanJets, [leg1, leg2], 99999.) for jet in event.cleanJets: leg = invpairs[jet] jet.leg = leg for jet in event.cleanJets: jet.matchGenParton = 999.0 if self.cfg_comp.isMC and "BB" in self.cfg_comp.name: genParticles = self.mchandles['genParticles'].product() event.genParticles = map(GenParticle, genParticles) for gen in genParticles: if abs(gen.pdgId()) == 5 and gen.mother() and abs( gen.mother().pdgId()) == 21: for jet in event.cleanJets: dR = deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi()) if dR < jet.matchGenParton: jet.matchGenParton = dR event.jets30 = [jet for jet in event.jets if jet.pt() > 30] event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt() > 30] if len(event.jets30) >= 2: self.counters.counter('VBF').inc('at least 2 good jets') if len(event.cleanJets30) >= 2: self.counters.counter('VBF').inc('at least 2 clean jets') if len(event.cleanJets) < 2: return True event.vbf = VBF(event.cleanJets, event.diLepton, None, self.cfg_ana.cjvPtCut) if event.vbf.mjj > self.cfg_ana.Mjj: self.counters.counter('VBF').inc( 'M_jj > {cut:3.1f}'.format(cut=self.cfg_ana.Mjj)) else: return True if abs(event.vbf.deta) > self.cfg_ana.deltaEta: self.counters.counter('VBF').inc( 'delta Eta > {cut:3.1f}'.format(cut=self.cfg_ana.deltaEta)) else: return True if len(event.vbf.centralJets) == 0: self.counters.counter('VBF').inc('no central jets') else: return True return True