src=allElecTauPairs.srcLeg2,
likelihoodFunctions=cms.VPSet(
svFitTauLikelihoodPhaseSpace.clone(
applySinThetaFactor=cms.bool(False))),
builder=svFitTauToHadBuilder)
allElecTauPairs.svFit.psKine_MEt_int.config.event.resonances.A.likelihoodFunctions = cms.VPSet(
)
allElecTauPairs.svFit.psKine_MEt_int.algorithm = cms.PSet(
pluginName=cms.string("svFitAlgorithmByIntegration"),
pluginType=cms.string("SVfitAlgorithmByIntegration"),
parameters=svFitProducerByIntegration.algorithm.parameters,
vegasOptions=svFitProducerByIntegration.algorithm.vegasOptions,
max_or_median=cms.string("max"))
#--------------------------------------------------------------------------------
elecTauPairProdConfigurator = objProdConfigurator(allElecTauPairs,
pyModuleName=__name__)
produceElecTauPairs = elecTauPairProdConfigurator.configure(
pyNameSpace=locals())
# define additional collections of electron + tau-jet candidates
# with loose track and ECAL isolation (and conversion rejection) applied on electron leg
# (NOTE: to be used for the purpose of factorizing efficiencies
# of electron isolation from other event selection criteria,
# in order to avoid problems with limited Monte Carlo statistics)
allElecTauPairsLooseElectronIsolation = allElecTauPairs.clone()
allElecTauPairsLooseElectronIsolation.srcLeg1 = cms.InputTag(
'selectedPatElectronsForElecTauTrkIPlooseIsolationCumulative')
elecTauPairProdConfiguratorLooseElectronIsolation = objProdConfigurator(
allElecTauPairs.svFit.psKine_MEt_int.config.event.resonances.A.daughters.leg2 = cms.PSet(
src=allElecTauPairs.srcLeg2,
likelihoodFunctions=cms.VPSet(svFitTauLikelihoodPhaseSpace.clone(applySinThetaFactor=cms.bool(False))),
builder=svFitTauToHadBuilder,
)
allElecTauPairs.svFit.psKine_MEt_int.config.event.resonances.A.likelihoodFunctions = cms.VPSet()
allElecTauPairs.svFit.psKine_MEt_int.algorithm = cms.PSet(
pluginName=cms.string("svFitAlgorithmByIntegration"),
pluginType=cms.string("SVfitAlgorithmByIntegration"),
parameters=svFitProducerByIntegration.algorithm.parameters,
vegasOptions=svFitProducerByIntegration.algorithm.vegasOptions,
max_or_median=cms.string("max"),
)
# --------------------------------------------------------------------------------
elecTauPairProdConfigurator = objProdConfigurator(allElecTauPairs, pyModuleName=__name__)
produceElecTauPairs = elecTauPairProdConfigurator.configure(pyNameSpace=locals())
# define additional collections of electron + tau-jet candidates
# with loose track and ECAL isolation (and conversion rejection) applied on electron leg
# (NOTE: to be used for the purpose of factorizing efficiencies
# of electron isolation from other event selection criteria,
# in order to avoid problems with limited Monte Carlo statistics)
allElecTauPairsLooseElectronIsolation = allElecTauPairs.clone()
allElecTauPairsLooseElectronIsolation.srcLeg1 = cms.InputTag(
"selectedPatElectronsForElecTauTrkIPlooseIsolationCumulative"
)
elecTauPairProdConfiguratorLooseElectronIsolation = objProdConfigurator(
likelihoodFunctions = cms.VPSet(svFitTauLikelihoodPhaseSpace.clone(
applySinThetaFactor = cms.bool(False))),
builder = svFitTauToHadBuilder
)
allMuTauPairs.svFit.psKine_MEt_int.config.event.resonances.A.likelihoodFunctions = cms.VPSet()
allMuTauPairs.svFit.psKine_MEt_int.algorithm = cms.PSet(
pluginName = cms.string("svFitAlgorithmByIntegration"),
pluginType = cms.string("SVfitAlgorithmByIntegration"),
parameters = svFitProducerByIntegration.algorithm.parameters,
vegasOptions = svFitProducerByIntegration.algorithm.vegasOptions,
max_or_median = cms.string("max")
)
#--------------------------------------------------------------------------------
muTauPairProdConfigurator = objProdConfigurator(
allMuTauPairs,
pyModuleName = __name__
)
produceMuTauPairs = muTauPairProdConfigurator.configure(pyNameSpace = locals())
allMuTauPairsPFtype1MET = copy.deepcopy(allMuTauPairs)
allMuTauPairsPFtype1MET.srcMET = cms.InputTag('patPFtype1METs')
produceMuTauPairs += allMuTauPairsPFtype1MET
# define additional collections of muon + tau-jet candidates
# with loose track and ECAL isolation applied on muon leg
# (NOTE: to be used for the purpose of factorizing efficiencies
# of muon isolation from other event selection criteria,
# in order to avoid problems with limited Monte Carlo statistics)
allMuTauPairsLooseMuonIsolation = allMuTauPairs.clone(
