for i, s in enumerate(allSamples):
tchunks, tsumWeight = getChunks(s, maxN=maxN)
chunks += tchunks
sumWeight += tsumWeight
print "Now %i chunks from sample %s with sumWeight now %f" % (
len(chunks), s.name, sumWeight)
sample = allSamples[0]
if len(allSamples) > 1:
sample.name = sample.name + '_comb'
doTopPtReweighting = sample.name.startswith(
"TTJets") or sample.name.startswith("TTLep")
if doTopPtReweighting:
print "Sample %s will have top pt reweights!" % sample.name
topPtReweightingFunc = getUnscaledTopPairPtReweightungFunction(
) if doTopPtReweighting else None
if options.fastSim:
leptonFastSimSF = leptonFastSimSF_()
if not options.skipVariations:
from StopsDilepton.tools.btagEfficiency import btagEfficiency, getTagWeightDict
btagEff_1d = btagEfficiency(method='1d')
maxMultBTagWeight = 2
btagEff_1b = btagEfficiency(method='1b', fastSim=options.fastSim)
if options.lheHTCut:
try:
float(options.lheHTCut)
except:
assert False not in [hasattr(s, 'path') for s in allSamples], "Not all samples have a path: "+", ".join([s.name for s in allSamples])
for i, s in enumerate(allSamples):
tchunks, tsumWeight = getChunks(s, maxN=maxN)
chunks+=tchunks; sumWeight += tsumWeight
print "Now %i chunks from sample %s with sumWeight now %f"%(len(chunks), s.name, sumWeight)
sample=allSamples[0]
if len(allSamples)>1:
sample.name=sample.name+'_comb'
doTopPtReweighting = sample.name.startswith("TTJets") or sample.name.startswith("TTLep")
if doTopPtReweighting:
print "Sample %s will have top pt reweights!"% sample.name
topPtReweightingFunc = getUnscaledTopPairPtReweightungFunction() if doTopPtReweighting else None
if options.fastSim:
leptonFastSimSF = leptonFastSimSF_()
if not options.skipVariations:
from StopsDilepton.tools.btagEfficiency import btagEfficiency, getTagWeightDict
btagEff_1d = btagEfficiency(method='1d')
maxMultBTagWeight = 2
btagEff_1b = btagEfficiency(method='1b', fastSim = options.fastSim)
if options.lheHTCut:
try:
float(options.lheHTCut)
except:
puRW = getReweightingFunction(data="PU_2100_XSecCentral", mc="Spring15")
puRWDown = getReweightingFunction(data="PU_2100_XSecDown", mc="Spring15")
puRWUp = getReweightingFunction(data="PU_2100_XSecUp", mc="Spring15")
else:
puRW = getReweightingFunction(data="PU_2100_XSecCentral", mc="Fall15")
puRWDown = getReweightingFunction(data="PU_2100_XSecDown", mc="Fall15")
puRWUp = getReweightingFunction(data="PU_2100_XSecUp", mc="Fall15")
# top pt reweighting
from StopsDilepton.tools.topPtReweighting import getUnscaledTopPairPtReweightungFunction, getTopPtDrawString, getTopPtsForReweighting
# Decision based on sample name -> whether TTJets or TTLep is in the sample name
isTT = sample.name.startswith("TTJets") or sample.name.startswith("TTLep")
doTopPtReweighting = isTT and not options.noTopPtReweighting
if doTopPtReweighting:
logger.info( "Sample will have top pt reweighting." )
topPtReweightingFunc = getUnscaledTopPairPtReweightungFunction(selection = "dilep")
# Compute x-sec scale factor on unweighted events
selectionString = "&&".join(skimConds)
topScaleF = sample.getYieldFromDraw( selectionString = selectionString, weightString = getTopPtDrawString(selection = "dilep"))
topScaleF = topScaleF['val']/float(sample.chain.GetEntries(selectionString))
logger.info( "Found topScaleF %f", topScaleF )
else:
topScaleF = 1
logger.info( "Sample will NOT have top pt reweighting. topScaleF=%f",topScaleF )
if options.fastSim:
from StopsDilepton.tools.leptonFastSimSF import leptonFastSimSF as leptonFastSimSF_
leptonFastSimSF = leptonFastSimSF_()
# systematic variations
addSystematicVariations = (not isData) and (not options.skipSystematicVariations)
puRWDown = getReweightingFunction(data="PU_2100_XSecDown",
mc="Spring15")
puRWUp = getReweightingFunction(data="PU_2100_XSecUp", mc="Spring15")
else:
puRW = getReweightingFunction(data="PU_2100_XSecCentral", mc="Fall15")
puRWDown = getReweightingFunction(data="PU_2100_XSecDown", mc="Fall15")
puRWUp = getReweightingFunction(data="PU_2100_XSecUp", mc="Fall15")
# top pt reweighting
from StopsDilepton.tools.topPtReweighting import getUnscaledTopPairPtReweightungFunction, getTopPtDrawString, getTopPtsForReweighting
# Decision based on sample name -> whether TTJets or TTLep is in the sample name
isTT = sample.name.startswith("TTJets") or sample.name.startswith("TTLep")
doTopPtReweighting = isTT and not options.noTopPtReweighting
if doTopPtReweighting:
logger.info("Sample will have top pt reweighting.")
topPtReweightingFunc = getUnscaledTopPairPtReweightungFunction(
selection="dilep")
# Compute x-sec scale factor on unweighted events
selectionString = "&&".join(skimConds)
topScaleF = sample.getYieldFromDraw(
selectionString=selectionString,
weightString=getTopPtDrawString(selection="dilep"))
topScaleF = topScaleF['val'] / float(
sample.chain.GetEntries(selectionString))
logger.info("Found topScaleF %f", topScaleF)
else:
topScaleF = 1
logger.info("Sample will NOT have top pt reweighting. topScaleF=%f",
topScaleF)
if options.fastSim:
from StopsDilepton.tools.leptonFastSimSF import leptonFastSimSF as leptonFastSimSF_
