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#! /usr/bin/env python2
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# -*- coding: utf-8 -*-
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import ROOT
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ROOT.gSystem.Load("libTreeObjects.so")
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import argparse
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from multiplot import *
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from treeFunctions import *
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import Styles
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style = Styles.tdrStyle()
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style.SetOptLogy(0)
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ROOT.TGaxis.SetMaxDigits(3)
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import os
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import ConfigParser
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axisConf = ConfigParser.SafeConfigParser()
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axisConf.read("axis.cfg")
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def divideDatasets( d1, d2, label, unit ):
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# d1, d2 are multiplot.Datasets (own definition)
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ratioHists = []
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for dataset in [d1, d2]:
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if dataset.label == "e_{gen}":
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try:
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plot = opts.plot.replace("photon","genElectron")
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except:
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plot = opts.plot
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else:
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plot = opts.plot
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yutarosBinning = [ 25, 35, 40, 50, 60, 80, 100 ]
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hist = createHistoFromTree( dataset.tree, plot, "weight*(%s)"%(dataset.additionalCut), nBins=yutarosBinning)
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hist.SetTitle(";%s%s;Entries"%(label,unit))
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hist.SetLineColor( dataset.color )
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hist.SetLineWidth(2)
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ratioHists.append( hist )
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#ratioHists[0].Divide( ratioHists[1] ) # normal division
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ratioHists[0].Divide( ratioHists[0], ratioHists[1], 1, 1, "B" ) # division using bayes theorem
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ratioHists[0].SetTitle(";%s%s;%s/%s"%(label,unit,d1.label,d2.label))
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return ratioHists[0]
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if __name__ == "__main__":
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arguments = argparse.ArgumentParser( description="Simple EWK" )
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arguments.add_argument( "--plot", default="photon.pt" )
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arguments.add_argument( "--input", default="EWK_V01.12_tree.root" )
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arguments.add_argument( "--savePrefix", default="new" )
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opts = arguments.parse_args()
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ROOT.gROOT.SetBatch()
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import re
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# dataset name is from beginning till first '_'
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slimFileName = opts.input.replace( os.path.basename(opts.input), "slim"+os.path.basename(opts.input))
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dataset = re.match("slim([^_]*)_.*", slimFileName ).groups()[0]
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genE = Dataset( slimFileName, "genElectronTree", "1", "e_{gen}", 3 )
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genE_with_match = Dataset( slimFileName, "genElectronTree", "genElectron.phi > 4", "e_{gen, match}", 1 )
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gamma = Dataset( slimFileName, "photonTree", "1", "#gamma", 1 )
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gamma_with_match = Dataset( slimFileName, "photonTree", "photon.genInformation == 1", "#gamma_{match}", 1 )
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label, unit = readAxisConf( opts.plot, axisConf )
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e_match_e_reco = divideDatasets( gamma_with_match, genE, label, unit )
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e_match = divideDatasets( genE_with_match, gamma, label, unit )
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can = ROOT.TCanvas()
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can.cd()
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can.SetLogy(0)
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datasetLabel = ROOT.TPaveText(.4,.9,.6,.98, "ndc")
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datasetLabel.SetFillColor(0)
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datasetLabel.SetBorderSize(0)
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datasetLabel.AddText( dataset )
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e_match_e_reco.GetYaxis().SetTitle("#varepsilon_{match}#upointf_{e_{gen}#rightarrow#gamma}")
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e_match_e_reco.Draw("e")
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datasetLabel.Draw()
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can.SaveAs("plots/%sEfficiencyFakeRate.pdf"%dataset)
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e_match.GetYaxis().SetTitle("#varepsilon_{match}")
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e_match.Draw("e")
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datasetLabel.Draw()
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can.SaveAs("plots/%sEfficiency.pdf"%dataset)
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h = e_match_e_reco.Clone("fakerate")
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h.GetYaxis().SetTitle("f_{e_{gen}#rightarrow #gamma}")
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h.Divide( e_match )
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#h = divideDatasets( gamma, recE, label, unit )
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yutaro = h.Clone("yutaro")
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yutaro.SetBinContent(1,0.0131)
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yutaro.SetBinError (1,0.0004)
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yutaro.SetBinContent(2,0.0146)
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yutaro.SetBinError (2,0.0002)
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yutaro.SetBinContent(3,0.0148)
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yutaro.SetBinError (3,0.0001)
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yutaro.SetBinContent(4,0.0111)
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yutaro.SetBinError (4,0.0002)
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yutaro.SetBinContent(5,0.0111)
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yutaro.SetBinError (5,0.0004)
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yutaro.SetBinContent(6,0.0085)
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yutaro.SetBinError (6,0.0005)
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yutaro.SetLineColor(2)
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yutaro.SetMarkerColor(2)
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h.SetMaximum(max(h.GetMaximum(),yutaro.GetMaximum())+0.002)
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h.SetMinimum(min(h.GetMinimum(),yutaro.GetMinimum())-0.002)
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h.Draw("e")
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yutaro.Draw("same e0")
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leg = myLegend(.5,.70,.95,.92)
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leg.AddEntry( h, h.GetYaxis().GetTitle(), "lp")
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leg.AddEntry( yutaro, "Yutaro's f_{e#rightarrow#gamma}", "lp" )
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leg.SetBorderSize(1)
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leg.Draw()
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datasetLabel.Draw()
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saveName = "%s_%s_%s_%s"%(h.GetYaxis().GetTitle(),dataset,opts.plot,opts.savePrefix)
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saveName = saveName.replace("/","VS")
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saveName = saveName.replace(" ","_")
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unallowedCharacters = ["{","}","(",")","#","|","."]
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for char in unallowedCharacters:
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saveName = saveName.replace( char, "" )
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can.SaveAs("plots/%s.pdf"%saveName)
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