#btagEfficiencyFilename="btageff_TTJets.json",
#btagEfficiencyFilename="btageff_WJetsHT.json",
btagEfficiencyFilename="btageff_hybrid.json",
direction="nominal")
#====== MET selection
metSelection = PSet(
METCutValue = 100.0, #for heavy H+, overriden in signalAnalysis.py for light H+
METCutDirection = ">", # options: ==, !=, <, <=, >, >=
METSignificanceCutValue = -1000.0,
METSignificanceCutDirection = ">", # options: ==, !=, <, <=, >, >=
METType = "MET_Type1", # options: MET_Type1, MET_Type1_NoHF, MET_Puppi, GenMET, L1MET, HLTMET, CaloMET
applyPhiCorrections = False # FIXME: no effect yet
)
# MET trigger SF
scaleFactors.assignMETTriggerSF(metSelection, bjetSelection.bjetDiscrWorkingPoint, "nominal")
#====== Angular cuts / back-to-back
angularCutsBackToBack = PSet(
nConsideredJets = 3, # Number of highest-pt jets to consider (excluding jet corresponding to tau)
enableOptimizationPlots = True, # 2D histograms for optimizing angular cuts
cutValueJet1 = 0.0, # Cut value in degrees (circular cut)
cutValueJet2 = 0.0, # Cut value in degrees (circular cut)
cutValueJet3 = 0.0, # Cut value in degrees (circular cut)
cutValueJet4 = 0.0, # Cut value in degrees (circular cut)
)
#====== Experimental
jetCorrelations = PSet (
)
def __init__(self, selectorName, moduleName, config, verbose, **kwargs):
self._selectorName = selectorName
self._moduleName = moduleName
self._config = config.clone()
self._verbose = verbose
# Process all keyword arguments to make changes to the config
keys = kwargs.keys()
for key in keys:
value = kwargs[key]
if key == "systematics":
self._config.histogramAmbientLevel = "Systematics"
# Energy scales
if value.startswith("TauES"):
self._config.TauSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up").replace("TauES","TES")
elif value.startswith("JES"):
self._config.JetSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
elif value.startswith("JER"):
self._config.JetSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
elif value.startswith("UES"):
# FIXME: should also _y be taken into account?
self._config.METSelection.systematicVariation = "_"+value.replace("Plus_x","down_x").replace("Minus_x","up_x").replace("UES","MET_Type1_UnclusteredEn")
self._config.METSelection.systematicVariation = "_"+value.replace("Plus_y","down_y").replace("Minus_y","up_y").replace("UES","MET_Type1_UnclusteredEn")
# Fake tau
elif value.startswith("FakeTau"):
partonFakingTau = None
if "Electron" in value:
partonFakingTau = "eToTau"
elif "Muon" in value:
partonFakingTau = "muToTau"
elif "Jet" in value:
partonFakingTau = "jetToTau"
scaleFactors.assignTauMisidentificationSF(self._config.TauSelection,
partonFakingTau,
self._getDirectionString(value))
# Trigger
elif value.startswith("TauTrgEff"):
variationType = value.replace("TauTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignTauTriggerSF(self._config.TauSelection, self._getDirectionString(value), self._config.Trigger.TautriggerEfficiencyJsonName, variationType)
elif value.startswith("METTrgEff"):
variationType = value.replace("METTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignMETTriggerSF(self._config.METSelection, self._config.BJetSelection.bjetDiscrWorkingPoint, self._getDirectionString(value), self._config.Trigger.METtriggerEfficiencyJsonName, variationType)
# tau ID syst
elif value.startswith("TauIDSyst"):
self._config.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
# b tag SF
elif value.startswith("BTagSF") or value.startswith("BMistagSF"):
variationType = None
if value.startswith("BTagSF"):
variationType = "tag"
elif value.startswith("BMistagSF"):
variationType = "mistag"
direction = value.replace("BTagSF","").replace("BMistagSF","").replace("Minus","down").replace("Plus","up")
scaleFactors.updateBtagSFInformationForVariations(self._config.BJetSelection, direction=direction, variationInfo=variationType)
# top quarks
elif value.startswith("TopPt"):
self._config.topPtSystematicVariation = value.replace("TopPt","").replace("Plus","plus").replace("Minus","minus")
# # PU weights
elif value.startswith("PUWeight"):
self._config.PUWeightSystematicVariation = value.replace("PUWeight","").replace("Plus","plus").replace("Minus","minus")
else:
if value != "nominal":
raise Exception("Error: unsupported variation item '%s'!"%value)
else:
# Process optimization options
# First check that key is found in config
subkeys = key.split(".")
subconfig = [self._config]
suffix = ""
for i in range(len(subkeys)-1):
if not hasattr(subconfig[len(subconfig)-1], subkeys[i]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[i]))
subconfig.append(getattr(subconfig[len(subconfig)-1], subkeys[i]))
if suffix == "":
suffix += "%s"%subkeys[i]
else:
suffix += ".%s"%subkeys[i]
# Set varied value in configuration (treat AngularCuts in a special way)
if key.startswith("AngularCuts") and subkeys[len(subkeys)-1] == "workingPoint":
from HiggsAnalysis.NtupleAnalysis.parameters.signalAnalysisParameters import setAngularCutsWorkingPoint
setAngularCutsWorkingPoint(subconfig[len(subconfig)-1], value)
else: # all other settings than AngularCuts
if not hasattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[len(subkeys)-1]))
setattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1], value)
# Additionally, set a new tau ID scale factor if needed
from HiggsAnalysis.NtupleAnalysis.parameters.scaleFactors import assignTauIdentificationSF
scaleFactors.assignTauIdentificationSF(subconfig[len(subconfig)-1])
def __init__(self, selectorName, moduleName, config, **kwargs):
self._selectorName = selectorName
self._moduleName = moduleName
self._config = config.clone()
#self.__dict__.update(kwargs)
#print kwargs
#===== Process all keyword arguments to make changes to the config
keys = kwargs.keys()
for key in keys:
value = kwargs[key]
if key == "systematics":
self._config.histogramAmbientLevel = "Systematics"
# Energy scales
if value.startswith("tauES"):
self._config.TauSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up").replace("tauES","TES")
elif value.startswith("JES"):
self._config.JetSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
# Fake tau
elif value.startswith("FakeTau"):
etaRegion = "full"
if "Barrel" in value:
etaRegion = "barrel"
elif "Endcap" in value:
etaRegion = "endcap"
partonFakingTau = None
if "Electron" in value:
partonFakingTau = "eToTau"
elif "Muon" in value:
partonFakingTau = "muToTau"
elif "Jet" in value:
partonFakingTau = "jetToTau"
scaleFactors.assignTauMisidentificationSF(self._config.TauSelection,
partonFakingTau, etaRegion,
self._getDirectionString(value))
# Trigger
elif value.startswith("TauTrgEff"):
variationType = value.replace("TauTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignTauTriggerSF(self._config.TauSelection, self._getDirectionString(value), variationType)
elif value.startswith("METTrgEff"):
variationType = value.replace("METTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignMETTriggerSF(self._config.METSelection, self._config.BJetSelection.bjetDiscrWorkingPoint, self._getDirectionString(value), variationType)
# b tag SF
elif value.startswith("BTagSF") or value.startswith("BMistagSF"):
variationType = None
if value.startswith("BTagSF"):
variationType = "tag"
elif value.startswith("BMistagSF"):
variationType = "mistag"
direction = value.replace("BTagSF","").replace("BMistagSF","").replace("Minus","down").replace("Plus","up")
scaleFactors.setupBtagSFInformation(self._config.BJetSelection,
btagPayloadFilename="CSVv2.csv",
btagEfficiencyFilename="btageff_TTJets.json",
direction=direction,
variationInfo=variationType)
# top quarks
elif value.startswith("TopPt"):
self._config.topPtSystematicVariation = value.replace("TopPt","").replace("Plus","plus").replace("Minus","minus")
else:
if value != "nominal":
raise Exception("Error: unsupported variation item '%s'!"%value)
else:
# Process optimization options
# First check that key is found in config
subkeys = key.split(".")
subconfig = [self._config]
suffix = ""
for i in range(len(subkeys)-1):
if not hasattr(subconfig[len(subconfig)-1], subkeys[i]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[i]))
subconfig.append(getattr(subconfig[len(subconfig)-1], subkeys[i]))
if suffix == "":
suffix += "%s"%subkeys[i]
else:
suffix += ".%s"%subkeys[i]
# Set value
if key.startswith("AngularCuts") and subkeys[len(subkeys)-1] == "workingPoint":
from HiggsAnalysis.NtupleAnalysis.parameters.signalAnalysisParameters import setAngularCutsWorkingPoint
setAngularCutsWorkingPoint(subconfig[len(subconfig)-1], value)
else:
if not hasattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[len(subkeys)-1]))
setattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1], value)
#btagEfficiencyFilename="btageff_hybrid.json",
#btagEfficiencyFilename="btageff_hybrid_HToTB.json",
btagEfficiencyFilename="btageff_Hybrid_TT+WJetsHT.json", # use with taunu analysis and WJetsHT samples
direction="nominal")
#====== MET selection
metSelection = PSet(
METCutValue = 90.0,
METCutDirection = ">", # options: ==, !=, <, <=, >, >=
METSignificanceCutValue = -1000.0,
METSignificanceCutDirection = ">", # options: ==, !=, <, <=, >, >=
METType = "MET_Type1", # options: MET_Type1, MET_Type1_NoHF, MET_Puppi, GenMET, L1MET, HLTMET, CaloMET
applyPhiCorrections = False # FIXME: no effect yet
)
# MET trigger SF
scaleFactors.assignMETTriggerSF(metSelection, bjetSelection.bjetDiscrWorkingPoint, "nominal", trg.METtriggerEfficiencyJsonName)
#====== Angular cuts / back-to-back
angularCutsBackToBack = PSet(
nConsideredJets = 3, # Number of highest-pt jets to consider (excluding jet corresponding to tau)
enableOptimizationPlots = True, # 2D histograms for optimizing angular cuts
cutValueJet1 = 40.0, # Cut value in degrees (circular cut)
cutValueJet2 = 40.0, # Cut value in degrees (circular cut)
cutValueJet3 = 40.0, # Cut value in degrees (circular cut)
cutValueJet4 = 40.0, # Cut value in degrees (circular cut)
)
#====== Experimental
jetCorrelations = PSet (
)
def __init__(self, selectorName, moduleName, config, verbose, **kwargs):
self._selectorName = selectorName
self._moduleName = moduleName
self._config = config.clone()
self._verbose = verbose
# Process all keyword arguments to make changes to the config
keys = kwargs.keys()
for key in keys:
value = kwargs[key]
if key == "systematics":
self._config.histogramAmbientLevel = "Systematics"
# Energy scales
if value.startswith("TauES"):
self._config.TauSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up").replace("TauES","TES")
elif value.startswith("JES"):
self._config.JetSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
elif value.startswith("JER"):
self._config.JetSelection.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
elif value.startswith("UES"):
# FIXME: should also _y be taken into account?
self._config.METSelection.systematicVariation = "_"+value.replace("Plus_x","down_x").replace("Minus_x","up_x").replace("UES","MET_Type1_UnclusteredEn")
self._config.METSelection.systematicVariation = "_"+value.replace("Plus_y","down_y").replace("Minus_y","up_y").replace("UES","MET_Type1_UnclusteredEn")
# Fake tau
elif value.startswith("FakeTau"):
partonFakingTau = None
if "Electron" in value:
partonFakingTau = "eToTau"
elif "Muon" in value:
partonFakingTau = "muToTau"
elif "Jet" in value:
partonFakingTau = "jetToTau"
scaleFactors.assignTauMisidentificationSF(self._config.TauSelection,
partonFakingTau,
self._getDirectionString(value))
# Trigger
elif value.startswith("TauTrgEff"):
variationType = value.replace("TauTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignTauTriggerSF(self._config.TauSelection, self._getDirectionString(value), self._config.Trigger.TautriggerEfficiencyJsonName, variationType)
elif value.startswith("METTrgEff"):
variationType = value.replace("METTrgEff","").replace("Minus","").replace("Plus","")
scaleFactors.assignMETTriggerSF(self._config.METSelection, self._config.BJetSelection.bjetDiscrWorkingPoint, self._getDirectionString(value), self._config.Trigger.METtriggerEfficiencyJsonName, variationType)
# tau ID syst
elif value.startswith("TauIDSyst"):
self._config.systematicVariation = "_"+value.replace("Plus","down").replace("Minus","up")
# b tag SF
elif value.startswith("BTagSF") or value.startswith("BMistagSF"):
variationType = None
if value.startswith("BTagSF"):
variationType = "tag"
elif value.startswith("BMistagSF"):
variationType = "mistag"
direction = value.replace("BTagSF","").replace("BMistagSF","").replace("Minus","down").replace("Plus","up")
scaleFactors.updateBtagSFInformationForVariations(self._config.BJetSelection, direction=direction, variationInfo=variationType)
# top-tag SF
elif value.startswith("TopTagSF") or value.startswith("TopMistagSF"):
variationType = None
if value.startswith("TopTagSF"):
variationType = "tag"
elif value.startswith("TopMistagSF"):
variationType = "mistag"
direction = value.replace("TopTagSF","").replace("TopMistagSF","").replace("Minus","down").replace("Plus","up")
scaleFactors.updateTopTagSFInformationForVariations(self._config.TopSelectionBDT, direction=direction, variationInfo=variationType)
# top quarks
elif value.startswith("TopPt"):
self._config.topPtSystematicVariation = value.replace("TopPt","").replace("Plus","plus").replace("Minus","minus")
# # PU weights
elif value.startswith("PUWeight"):
self._config.PUWeightSystematicVariation = value.replace("PUWeight","").replace("Plus","plus").replace("Minus","minus")
else:
if value != "nominal":
raise Exception("Error: unsupported variation item '%s'!"%value)
else:
# Process optimization options
# First check that key is found in config
subkeys = key.split(".")
subconfig = [self._config]
suffix = ""
for i in range(len(subkeys)-1):
if not hasattr(subconfig[len(subconfig)-1], subkeys[i]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[i]))
subconfig.append(getattr(subconfig[len(subconfig)-1], subkeys[i]))
if suffix == "":
suffix += "%s"%subkeys[i]
else:
suffix += ".%s"%subkeys[i]
# Set varied value in configuration (treat AngularCuts in a special way)
if key.startswith("AngularCuts") and subkeys[len(subkeys)-1] == "workingPoint":
from HiggsAnalysis.NtupleAnalysis.parameters.signalAnalysisParameters import setAngularCutsWorkingPoint
setAngularCutsWorkingPoint(subconfig[len(subconfig)-1], value)
else: # all other settings than AngularCuts
if not hasattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1]):
raise Exception("Error: Cannot find key %s.%s in the config!"%(suffix, subkeys[len(subkeys)-1]))
setattr(subconfig[len(subconfig)-1], subkeys[len(subkeys)-1], value)
# Additionally, set a new tau ID scale factor if needed
from HiggsAnalysis.NtupleAnalysis.parameters.scaleFactors import assignTauIdentificationSF
scaleFactors.assignTauIdentificationSF(subconfig[len(subconfig)-1])
