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testpy.py
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testpy.py
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from ROOT import *
from pyrootTools import *
from getMCbgWeights import *
from HgParameters import *
from HgCuts import *
from os import path
# John Hakala, 12/1/2016
# A poorly-named collection of functions that churns out all the possible histograms from DDtrees
printCuts = False
def getHiggsRangesDict(fineBinning=False):
rangesDict = {}
rangesDict["cosThetaStar"] = [[0., 1.]]
rangesDict["phPtOverMgammaj"] = [[0., 1.2]]
rangesDict["leadingPhPhi"] = [[-3.5, 3.5]]
rangesDict["leadingPhPt"] = [[0., 3000.]]
rangesDict["leadingPhAbsEta"] = [[0.,2.5]]
rangesDict["leadingPhEta"] = [[-2.8,2.8]]
rangesDict["antibtagSF"] = [[0.0, 1.0]]
rangesDict["btagSF"] = [[0.0, 1.0]]
rangesDict["weightFactor"] = [[0.0, 2.0]]
label = "higgs"
rangesDict["%sJet_HbbTag"%label] = [[-1. , 1.]]
rangesDict["%sJet_puppi_abseta"%label]=[[0., 3]]
rangesDict["%sJet_puppi_eta"%label] = [[-3., 3.]]
rangesDict["%sJet_puppi_phi"%label] = [[-3.5, 3.5]]
rangesDict["%sJet_puppi_pt"%label] = [[0., 4000.]]
rangesDict["%sJett2t1"%label] = [[0.0, 1.0]]
#rangesDict["%sPrunedJetCorrMass"%label] = [[0.,200.], [0.,1000.]]
#rangesDict["%sPuppi_softdropJetCorrMass"%label]=[[50.,150.]]
rangesDict["%sPuppi_softdropJetCorrMass"%label] = [[0.,1000.]]
rangesDict["phJetDeltaR_%s"%label] = [[0.,6.]]
if fineBinning:
rangesDict["phJetInvMass_puppi_softdrop_%s"%label]=[[700., 4700.]]
else:
rangesDict["phJetInvMass_puppi_softdrop_%s"%label]=[[0., 10000.]]
return rangesDict
## this is for making stackplots from the ddTrees
#def getSidebandRangesDict(sideband):
# rangesDict = {}
# if sideband == "100110":
# index="Four"
# elif sideband == "5070":
# index="Three"
# else:
# print "Invalid sideband! Either 100110 or 5070."
# quit()
# label="sideLow%s"%index
# rangesDict["cosThetaStar"] = [0., 1.]
# rangesDict["phPtOverMgammaj"]=[0., 2.]
# rangesDict["leadingPhPhi"]=[-3.5, 3.5]
# rangesDict["leadingPhPt"]=[0., 2000.]
# rangesDict["leadingPhAbsEta"]=[0.,2.5]
# rangesDict["leadingPhEta"]=[-2.8,2.8]
# rangesDict["%sJet_HbbTag"%label]=[-1. , 1.]
# rangesDict["%sJet_puppi_softdrop_abseta"%label]=[0., 3]
# rangesDict["%sJett2t1"%label]=[0, 1]
# rangesDict["%sPuppi_softdropJetCorrMass"%label]=[0, 4000]
# rangesDict["phJetDeltaR_%s"%label]=[0,6]
# rangesDict["phJetInvMass_puppi_softdrop_%s"%label]=[0,4000]
# return rangesDict
def getRangesDict(fineBinning=False):
rangesDict = {}
higgsRangesDict = getHiggsRangesDict(fineBinning)
for key in higgsRangesDict.keys():
rangesDict[key]=higgsRangesDict[key]
#lowFourRangesDict = getSidebandRangesDict("100110")
#for key in lowFourRangesDict.keys():
# rangesDict[key]=lowFourRangesDict[key]
#lowThreeRangesDict = getSidebandRangesDict("5070")
##print lowThreeRangesDict
#for key in lowThreeRangesDict.keys():
# rangesDict[key]=lowThreeRangesDict[key]
#print rangesDict
return rangesDict
#def makeHist(tree, hist, var, key, region):
# nEntries = tree.Draw("%s>> hist"%var, getAntiBtagComboCut(region))
# if nEntries == 0:
# return False
# else:
# outFile = TFile("weightedMCbgHists/%s_%s_%s"%(key, region, var), "RECREATE")
# outFile.cd()
# for histBin in range (0,hist.GetXaxis().GetNbins()):
# hist.SetBinContent(histBin, hist.GetBinContent(histBin)*weightsDict[key])
# hist.Draw()
# hist.Write()
# outFile.Close()
# return True
def makeAllHists(cutName, withBtag=True, sideband=False, useScaleFactors=False, windowEdges=[100,110], fineBinning=False, useReweighting=False):
if fineBinning != useReweighting:
print "there was something funny happening... fineBinning and useReweighting were different..."
exit(1)
sampleDirs = getSamplesDirs()
weightsDict = getWeightsDict(sampleDirs["bkgSmall3sDir"])
#regions = ["higgs", "side100110", "side5070"]
regions = ["higgs"]
rangesDict = getRangesDict(fineBinning)
nonEmptyFilesDict={}
for key in getWeightsDict(getSamplesDirs()["bkgSmall3sDir"]).keys():
sampleType = getWeightsDict(getSamplesDirs()["bkgSmall3sDir"])[key][1]
useTrigger = True
if sampleType == "sig":
useTrigger = False
#print "making all histograms for: %s" % key
#print "useTrigger is %r since sampleType is %s" % (useTrigger, sampleType)
for region in regions:
pre = getDDPrefix()
tfile = TFile(path.join(sampleDirs["%sDDdir" % sampleType], pre+key))
#print "tfile is: ", tfile.GetName(), tfile
tree = tfile.Get(region)
varNames = []
for branch in tree.GetListOfBranches():
if not "csvValues" in branch.GetName() and not "subjetCut" in branch.GetName() and not "triggerFired" in branch.GetName():
varNames.append(branch.GetName())
for var in varNames:
iRange = 1
firstRange = True
for rng in rangesDict[var]:
histName = "hist_%s_%s_%s"%(var, region, key)
if not firstRange:
histName = histName.replace(".root","")+"_%i.root"%iRange
if fineBinning == True:
nBins = 4000
else:
nBins = 100
hist = TH1F(histName,histName,nBins,rng[0],rng[1])
if var == "higgsJet_HbbTag":
hist.Rebin(5)
#print "cutName is:", cutName
if cutName in "btag":
cut = getBtagComboCut(region, useTrigger, sideband, useScaleFactors, windowEdges)
elif cutName in "antibtag":
cut = getAntiBtagComboCut(region, useTrigger, sideband, useScaleFactors, windowEdges)
elif cutName in "nobtag":
#print "going to pass getNoBtagComboCut windowEdges"
cut = getNoBtagComboCut(region, useTrigger, sideband, windowEdges)
elif cutName in "nMinus1":
cut = getNminus1ComboCut(region, var, withBtag, useTrigger, sideband, windowEdges)
elif cutName in "preselection":
cut = getPreselectionComboCut(region, useTrigger, sideband, [30.0, 99999.9])
else:
print "Invalid category: %s" % cutName
print "Must be btag, antibtag, nMinus1, or preselection."
exit(1)
if useTrigger:
cut += makeTrigger()
#print "cut is now", cut
#if cutName is "preselection":
# nEntries = tree.Draw("%s>> hist_preselection_%s_%s_%s"%(var, var, region, key), cut)
# filename = "weightedMCbgHists_%s/%s_%s_%s"%("preselection", var, region, key)
#elif not preselection:
#histName = "hist_%s_%s_%s"%(var, region, key)
#print "cut is: "
#print cut
if useScaleFactors:
if cutName in ["antibtag", "btag"]:
cutString = "%sSF*(%s)" % (cutName, cut)
if useReweighting:
cutString = "weightFactor*(%s)"%cutString
else:
cutString = "1*(%s)" % (cut)
else:
if cutName in "preselection":
cutString = "1*(%s)" % cut
else:
cutString = "1*(%s)" % (cut)
print "cuts:", cutString
nEntries = tree.Draw("%s>> %s"%(var, histName), cutString, "HIST")
directory = ""
bareDirectory = ""
if cutName in "nMinus1":
if withBtag:
directory = "weightedMCbgHists_%s_withBtag"%cutName
bareDirectory = directory
else:
directory = "weightedMCbgHists_%s_noBtag"%cutName
bareDirectory = directory
else:
if useScaleFactors:
directory = "weightedMCbgHists_%s"%cutName
bareDirectory = directory
else:
directory = "weightedMCbgHists_%s"%cutName
bareDirectory = directory
if sideband:
if not cutName in "preselection":
directory += "_sideband%i%i" % (windowEdges[0], windowEdges[1])
if useScaleFactors:
directory += "_SF"
bareDirectory += "_SF"
if fineBinning and useReweighting:
directory += "_vgMC"
bareDirectory += "_vgMC"
filename = "%s/%s_%s_%s"%(directory, var, region, key)
hackFilename = "%s/%s_%s_%s"%(bareDirectory, var, region, key)
if not os.path.exists(directory):
os.makedirs(directory)
if not nEntries == 0:
if firstRange:
outFile = TFile(filename, "RECREATE")
else:
outFile = TFile(filename.replace(".root","")+"_%i.root"%iRange, "RECREATE")
outFile.cd()
#print "applying weight %s to sample %s" % (weightsDict[key][0], filename )
#print " weightsDict has keys: "
#print weightsDict.keys()
for histBin in range(0,hist.GetXaxis().GetNbins()):
hist.SetBinContent(histBin, hist.GetBinContent(histBin)*weightsDict[key][0])
hist.Write()
outFile.Close()
#print "closed outFile" , outFile.GetName()
nonEmptyFilesDict[filename]="nonempty"
nonEmptyFilesDict[hackFilename]="nonempty"
else:
nonEmptyFilesDict[filename]="empty"
nonEmptyFilesDict[hackFilename]="empty"
#print "the histogram %s was empty for" % histName, filename
iRange += 1
firstRange = False;
return nonEmptyFilesDict