d2/dff/EgammaAnalysis_2ElectronIDESSources_2python_2likelihoodESetup__cfi_8py_source.html

 import FWCore.ParameterSet.Config as cms


 # ESSource for Electron ID likelihood

 ElectronLikelihoodESSource = cms.ESProducer("ElectronLikelihoodESSource",

     useEoverPOut = cms.double(1.0),

     piEBNarrowFracGt15 = cms.double(1.0),

     #! fisher coefficients

     fisherCoeffEBLt15_constant = cms.double(0.693496),

     piWeight = cms.double(1.0),

     fisherCoeffEBLt15_sigmaEtaEta = cms.double(-12.7018),

     piEENarrowFracGt15 = cms.double(1.0),

     eleEBNarrowFracGt15 = cms.double(1.0),

     useShapeFisher = cms.double(0.0),

     piEBShoweringFracGt15 = cms.double(1.0),

     piEBShoweringFracLt15 = cms.double(1.0),

     piEEShoweringFracGt15 = cms.double(1.0),

     piEEGoldenFracGt15 = cms.double(1.0),

     eleEBGoldenFracGt15 = cms.double(1.0),

     #! a priori probabilities (fullclass fractions). Use flat priors for now

     eleEBGoldenFracLt15 = cms.double(1.0),

     piEEBigbremFracLt15 = cms.double(1.0),

     eleEEGoldenFracGt15 = cms.double(1.0),

     fisherCoeffEBLt15_s9s25 = cms.double(1.23863),

     eleEBBigbremFracGt15 = cms.double(1.0),

     eleEBBigbremFracLt15 = cms.double(1.0),

     fisherCoeffEBGt15_constant = cms.double(6.02184),

     fisherCoeffEEGt15_etaLat = cms.double(-9.3025),

     splitBackgroundPdfs = cms.bool(False),

     piEBNarrowFracLt15 = cms.double(1.0),

     fisherCoeffEBGt15_s9s25 = cms.double(2.49634),

     piEBBigbremFracGt15 = cms.double(1.0),

     fisherCoeffEELt15_s9s25 = cms.double(4.51575),

     eleEBShoweringFracGt15 = cms.double(1.0),

     #! a priori probabilies having an electron/hadron (cross sections)

     eleWeight = cms.double(1.0),

     eleEEGoldenFracLt15 = cms.double(1.0),

     useSigmaEtaEta = cms.double(1.0),

     piEENarrowFracLt15 = cms.double(1.0),

     eleEEShoweringFracLt15 = cms.double(1.0),

     #! use dedicated PDF's for each class defined by

     #! signalWeightSplitting category

     #! for now no splitted PDFs are in the DB for Bkg (lack of statistics)

     splitSignalPdfs = cms.bool(True),

     fisherCoeffEELt15_constant = cms.double(-1.11814),

     piEBBigbremFracLt15 = cms.double(1.0),

     piEBGoldenFracLt15 = cms.double(1.0),

     eleEBNarrowFracLt15 = cms.double(1.0),

     fisherCoeffEBGt15_etaLat = cms.double(-30.1528),

     fisherCoeffEELt15_sigmaEtaEta = cms.double(-5.3288),

     fisherCoeffEELt15_a20 = cms.double(0.0),

     fisherCoeffEBGt15_sigmaEtaEta = cms.double(-49.2656),

     fisherCoeffEEGt15_s9s25 = cms.double(3.61809),

     fisherCoeffEEGt15_sigmaEtaEta = cms.double(-11.7401),

     piEEGoldenFracLt15 = cms.double(1.0),

     backgroundWeightSplitting = cms.string('class'),

     useHoverE = cms.double(1.0),

     fisherCoeffEELt15_etaLat = cms.double(-6.47578),

     eleEEBigbremFracLt15 = cms.double(1.0),

     #! switch the use of one variable ON / OFF

     useDeltaEtaCalo = cms.double(1.0),

     #! PDF's splitting rule

     #! class: split by non-showering / showering+cracks

     #! fullclass: split by golden / bigbrem / narrow / showering+cracks

     #    string signalWeightSplitting = "fullclass"

     #    string backgroundWeightSplitting = "fullclass"

     signalWeightSplitting = cms.string('class'),

     eleEENarrowFracLt15 = cms.double(1.0),

     eleEEBigbremFracGt15 = cms.double(1.0),

     eleEENarrowFracGt15 = cms.double(1.0),

     fisherCoeffEBGt15_a20 = cms.double(0.0),

     piEEShoweringFracLt15 = cms.double(1.0),

     eleEEShoweringFracGt15 = cms.double(1.0),

     eleEBShoweringFracLt15 = cms.double(1.0),

     piEEBigbremFracGt15 = cms.double(1.0),

     fisherCoeffEEGt15_constant = cms.double(0.536351),

     useDeltaPhiIn = cms.double(1.0),

     fisherCoeffEBLt15_etaLat = cms.double(-10.115),

     useE9overE25 = cms.double(1.0),

     fisherCoeffEEGt15_a20 = cms.double(0.0),

     fisherCoeffEBLt15_a20 = cms.double(0.0),

     piEBGoldenFracGt15 = cms.double(1.0)

 )


Config