RecoB/python/tagGenericAnalysis_cff.py

0001 import FWCore.ParameterSet.Config as cms
0002
0003 bTagGenericAnalysisBlock = cms.PSet(
0004     parameters = cms.PSet(
0005         discriminatorStart = cms.double(-0.01),
0006         nBinEffPur = cms.int32(200),
0007         # the constant b-efficiency for the differential plots versus pt and eta
0008         effBConst = cms.double(0.7),
0009         endEffPur = cms.double(1.005),
0010         discriminatorEnd = cms.double(1.011),
0011         startEffPur = cms.double(0.005)
0012     )
0013 )
0014
0015 cTagGenericAnalysisBlock = cms.PSet(
0016     parameters = cms.PSet(
0017         discriminatorStart = cms.double(-0.01),
0018         nBinEffPur = cms.int32(200),
0019         # the constant c-efficiency for the differential plots versus pt and eta
0020         effBConst = cms.double(0.7),
0021         endEffPur = cms.double(1.005),
0022         discriminatorEnd = cms.double(1.011),
0023         startEffPur = cms.double(0.005)
0024     )
0025 )
0026
0027 tauTagGenericAnalysisBlock = cms.PSet(
0028     parameters = cms.PSet(
0029         discriminatorStart = cms.double(-0.01),
0030         nBinEffPur = cms.int32(200),
0031         # the constant tau-efficiency for the differential plots versus pt and eta
0032         effBConst = cms.double(0.7),
0033         endEffPur = cms.double(1.005),
0034         discriminatorEnd = cms.double(1.011),
0035         startEffPur = cms.double(0.005)
0036     )
0037 )
0038
0039 sTagGenericAnalysisBlock = cms.PSet(
0040     parameters = cms.PSet(
0041         discriminatorStart = cms.double(-0.01),
0042         nBinEffPur = cms.int32(200),
0043         # the constant s-efficiency for the differential plots versus pt and eta
0044         effBConst = cms.double(0.7),
0045         endEffPur = cms.double(1.005),
0046         discriminatorEnd = cms.double(1.011),
0047         startEffPur = cms.double(0.005)
0048     )
0049 )
0050
0051 qgTagGenericAnalysisBlock = cms.PSet(
0052     parameters = cms.PSet(
0053         discriminatorStart = cms.double(-0.01),
0054         nBinEffPur = cms.int32(200),
0055         # the constant q-efficiency for the differential plots versus pt and eta
0056         effBConst = cms.double(0.7),
0057         endEffPur = cms.double(1.005),
0058         discriminatorEnd = cms.double(1.011),
0059         startEffPur = cms.double(0.005)
0060     )
0061 )
0062
0063 # TrackProbability jetTag configuration
0064 bTagProbabilityAnalysisBlock = cms.PSet(
0065     parameters = cms.PSet(
0066         discriminatorStart = cms.double(-0.025),
0067         nBinEffPur = cms.int32(200),
0068         # the constant b-efficiency for the differential plots versus pt and eta
0069         effBConst = cms.double(0.5),
0070         endEffPur = cms.double(1.005),
0071         discriminatorEnd = cms.double(2.525),
0072         startEffPur = cms.double(0.005)
0073     )
0074 )
0075
0076 # TrackIP tag info configuration
0077 bTagTrackIPAnalysisBlock = cms.PSet(
0078     parameters = cms.PSet(
0079         QualityPlots = cms.bool(False),
0080         endEffPur = cms.double(1.005),
0081         nBinEffPur = cms.int32(200),
0082         startEffPur = cms.double(0.005),
0083         LowerIPSBound = cms.double(-35.0),
0084         UpperIPSBound = cms.double(35.0),
0085         LowerIPBound = cms.double(-0.1),
0086         UpperIPBound = cms.double(0.1),
0087         LowerIPEBound = cms.double(0.0),
0088         UpperIPEBound = cms.double(0.04),
0089         NBinsIPS = cms.int32(100),
0090         NBinsIP = cms.int32(100),
0091         NBinsIPE = cms.int32(100),
0092         MinDecayLength = cms.double(-9999.0),
0093         MaxDecayLength = cms.double(5.0),
0094         MinJetDistance = cms.double(0.0),
0095         MaxJetDistance = cms.double(0.07),
0096     )
0097 )