Ejemplos de HChSignalAnalysisParameters_cff.addTauIdAnalyses en Python

Ejemplo n.º 1

Archivo: alphatAnalysis_cfg.py Proyecto: EricBAdamsUMDCP/cmssw-1

# some of the I/O and grid overhead). The fragment below creates the
# following histogram directories
# alphatAnalysisTauSelectionShrinkingConeCutBased
# alphatAnalysisTauSelectionShrinkingConeTaNCBased
# alphatAnalysisTauSelectionCaloTauCutBased
# alphatAnalysisTauSelectionHPSTauBased
# alphatAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(process, "alphatAnalysis", process.alphatAnalysis,
                           process.commonSequence, additionalCounters)

################################################################################
# The alphat analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the alphat analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# alphatAnalysisJESPlus05
# alphatAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses
    JESs = "%02d" % int(JESVariation * 100)

Ejemplo n.º 2

Archivo: EWKFakeTauAnalysis_cfg.py Proyecto: aashaqshah/cmssw-1

# some of the I/O and grid overhead). The fragment below creates the
# following histogram directories
# EWKFakeTauAnalysisTauSelectionShrinkingConeCutBased
# EWKFakeTauAnalysisTauSelectionShrinkingConeTaNCBased
# EWKFakeTauAnalysisTauSelectionCaloTauCutBased
# EWKFakeTauAnalysisTauSelectionHPSTightTauBased
# EWKFakeTauAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(process, "EWKFakeTauAnalysis", process.EWKFakeTauAnalysis, process.commonSequence, additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# EWKFakeTauAnalysisJESPlus05
# EWKFakeTauAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses
    JESs = "%02d" % int(JESVariation*100)

Ejemplo n.º 3

Archivo: QCDMeasurementMETfit_cfg.py Proyecto: nsahoo/cmssw-1

# QCDMeasurementTauSelectionShrinkingConeCutBased
# QCDMeasurementTauSelectionShrinkingConeTaNCBased
# QCDMeasurementTauSelectionCaloTauCutBased
# QCDMeasurementTauSelectionHPSTightTauBased
# QCDMeasurementTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    module = process.QCDMeasurement.clone()
    module.Tree.fill = True  # attikis (default is False)
    param.addTauIdAnalyses(process, dataVersion, "QCDMeasurement", module, process.commonSequence, additionalCounters)


################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# QCDMeasurementCountersJESPlus05
# QCDMeasurementCountersJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis

if doJESVariation:

Ejemplo n.º 4

Archivo: QCDMeasurement_PASJuly11.cfg.py Proyecto: EricBAdamsUMDCP/cmssw-1

# QCDMeasurement_PASJuly11TauSelectionShrinkingConeCutBased
# QCDMeasurement_PASJuly11TauSelectionShrinkingConeTaNCBased
# QCDMeasurement_PASJuly11TauSelectionCaloTauCutBased
# QCDMeasurement_PASJuly11TauSelectionHPSTightTauBased
# QCDMeasurement_PASJuly11TauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    module = process.QCDMeasurement_PASJuly11.clone()
    module.Tree.fill = True #attikis (default is False)
    param.addTauIdAnalyses(process, "QCDMeasurement_PASJuly11", module, process.commonSequence, additionalCounters)


################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# QCDMeasurement_PASJuly11CountersJESPlus05
# QCDMeasurement_PASJuly11CountersJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses

Ejemplo n.º 5

Archivo: signalOptimisation_cfg.py Proyecto: EricBAdamsUMDCP/cmssw-1

# following histogram directories
# signalOptimisationTauSelectionShrinkingConeCutBased
# signalOptimisationTauSelectionShrinkingConeTaNCBased
# signalOptimisationTauSelectionCaloTauCutBased
# signalOptimisationTauSelectionHPSTightTauBased
# signalOptimisationTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(process, "signalOptimisation",
                           process.signalOptimisation, process.commonSequence,
                           additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# signalOptimisationJESPlus05
# signalOptimisationJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses

Ejemplo n.º 6

# QCDMeasurementTauSelectionShrinkingConeCutBased
# QCDMeasurementTauSelectionShrinkingConeTaNCBased
# QCDMeasurementTauSelectionCaloTauCutBased
# QCDMeasurementTauSelectionHPSTightTauBased
# QCDMeasurementTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    module = process.QCDMeasurement.clone()
    module.Tree.fill = True  #attikis (default is False)
    param.addTauIdAnalyses(process, dataVersion, "QCDMeasurement", module,
                           process.commonSequence, additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# QCDMeasurementCountersJESPlus05
# QCDMeasurementCountersJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses
    JESs = "%02d" % int(JESVariation * 100)

Ejemplo n.º 7

Archivo: EWKFakeTauAnalysis_cfg.py Proyecto: EricBAdamsUMDCP/cmssw-1

# following histogram directories
# EWKFakeTauAnalysisTauSelectionShrinkingConeCutBased
# EWKFakeTauAnalysisTauSelectionShrinkingConeTaNCBased
# EWKFakeTauAnalysisTauSelectionCaloTauCutBased
# EWKFakeTauAnalysisTauSelectionHPSTightTauBased
# EWKFakeTauAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(process, "EWKFakeTauAnalysis",
                           process.EWKFakeTauAnalysis, process.commonSequence,
                           additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# EWKFakeTauAnalysisJESPlus05
# EWKFakeTauAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses

Ejemplo n.º 8

Archivo: signalAnalysisInvertedTau_cfg.py Proyecto: aashaqshah/cmssw-1

# signalAnalysisTauSelectionShrinkingConeCutBased
# signalAnalysisTauSelectionShrinkingConeTaNCBased
# signalAnalysisTauSelectionCaloTauCutBased
# signalAnalysisTauSelectionHPSTightTauBased
# signalAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    module = process.signalAnalysis.clone()
    module.Tree.fill = False
    param.addTauIdAnalyses(process, dataVersion, "signalAnalysis", module, process.commonSequence, additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# signalAnalysisJESPlus05
# signalAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
def addJESVariation(name, doJetVariation, metVariation):
    jetVariationMode="all"
    module = getattr(process, name)

Ejemplo n.º 9

Archivo: signalAnalysis_cfg.py Proyecto: EricBAdamsUMDCP/cmssw-1

# signalAnalysisTauSelectionShrinkingConeCutBased
# signalAnalysisTauSelectionShrinkingConeTaNCBased
# signalAnalysisTauSelectionCaloTauCutBased
# signalAnalysisTauSelectionHPSTightTauBased
# signalAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    module = process.signalAnalysis.clone()
    module.Tree.fill = False
    param.addTauIdAnalyses(process, dataVersion, "signalAnalysis", module,
                           process.commonSequence, additionalCounters)

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# signalAnalysisJESPlus05
# signalAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis


def addJESVariation(name, doJetVariation, metVariation):

Ejemplo n.º 10

Archivo: alphatAnalysis_cfg.py Proyecto: aashaqshah/cmssw-1

# some of the I/O and grid overhead). The fragment below creates the
# following histogram directories
# alphatAnalysisTauSelectionShrinkingConeCutBased
# alphatAnalysisTauSelectionShrinkingConeTaNCBased
# alphatAnalysisTauSelectionCaloTauCutBased
# alphatAnalysisTauSelectionHPSTauBased
# alphatAnalysisTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(process, "alphatAnalysis", process.alphatAnalysis, process.commonSequence, additionalCounters)

################################################################################
# The alphat analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the alphat analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# alphatAnalysisJESPlus05
# alphatAnalysisJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis
if doJESVariation:
    # In principle here could be more than two JES variation analyses
    JESs = "%02d" % int(JESVariation*100)

Ejemplo n.º 11

Archivo: signalOptimisation_cfg.py Proyecto: nsahoo/cmssw-1

# following histogram directories
# signalOptimisationTauSelectionShrinkingConeCutBased
# signalOptimisationTauSelectionShrinkingConeTaNCBased
# signalOptimisationTauSelectionCaloTauCutBased
# signalOptimisationTauSelectionHPSTightTauBased
# signalOptimisationTauSelectionCombinedHPSTaNCBased
#
# The corresponding Counter directories have "Counters" postfix, and
# cms.Paths "Path" postfix. The paths are run independently of each
# other. It is important to give the process.commonSequence for the
# function, so that it will be run before the analysis module in the
# Path. Then, in case PAT is run on the fly, the framework runs the
# analysis module after PAT (and runs PAT only once).
if doAllTauIds:
    param.addTauIdAnalyses(
        process, "signalOptimisation", process.signalOptimisation, process.commonSequence, additionalCounters
    )

################################################################################
# The signal analysis with jet energy scale variation
#
# If the flag is true, create two paths for the variation in plus and
# minus, and clone the signal analysis and counter modules to the
# paths. The tau, jet and MET collections to adjust are taken from the
# configuration of the golden analysis. The fragment below creates the
# following histogram directories
# signalOptimisationJESPlus05
# signalOptimisationJESMinus05
from HiggsAnalysis.HeavyChHiggsToTauNu.JetEnergyScaleVariation import addJESVariationAnalysis

if doJESVariation: