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#!/usr/bin/env python
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import pickle
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import ROOT
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from array import array
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import sys, os
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from optparse import OptionParser
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from copy import copy,deepcopy
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from math import sqrt
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ROOT.gROOT.SetBatch(True)
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#CONFIGURE
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argv = sys.argv
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parser = OptionParser()
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parser.add_option("-R", "--region", dest="region", default="",
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help="region to plot")
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parser.add_option("-M", "--figure_of_merit", dest="fom", default="",
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help="figure of merit to be used to weight the plots. Possibilities: s/b, s/sqrt(b)")
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parser.add_option("-C", "--config", dest="config", default=[], action="append",
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help="configuration file")
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(opts, args) = parser.parse_args(argv)
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if opts.config =="":
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opts.config = "config"
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from myutils import BetterConfigParser, printc, ParseInfo, mvainfo, StackMaker, HistoMaker
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print opts.config
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opts.config.append('8TeVconfig/vhbbPlotDef.ini')
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config = BetterConfigParser()
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config.read(opts.config)
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def get_s_over_b(fName):
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#using bin 9, 10, 11
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s=0
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b=0
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histos = get_th1(fName)
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for histo in histos:
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if 'data' in histo.GetName(): continue
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for i in range(9,11):
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if 'VH' in histo.GetName():
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s+=histo.GetBinContent(i)
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else:
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b+=histo.GetBinContent(i)
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return s/b
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def get_s_over_sb(fName):
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#using bin 9, 10, 11
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s=0
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b=0
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histos = get_th1(fName)
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for histo in histos:
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if 'data' in histo.GetName(): continue
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for i in range(9,11):
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if 'VH' in histo.GetName():
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s+=histo.GetBinContent(i)
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else:
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b+=histo.GetBinContent(i)
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return s/(s+b)
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def get_th1(fName):
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infile = ROOT.TFile.Open(fName,'read')
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th1 = []
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for key in ROOT.gDirectory.GetListOfKeys():
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infile.cd()
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th1.append(key.ReadObj())
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return th1
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def plot():
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signalRegion = True
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region = 'plot'
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var = 'Hmass'
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stack = StackMaker(config,var,region,signalRegion)
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# fileList = [
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# '/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch1_Wenu3_PreFit.root',
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# '/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeHighPt_PreFit.root',
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# '/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_HighPt_ZnunuHighPt_8TeV_PreFit.root',
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# '/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_Wmunu3_PreFit.root',
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# '/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmHighPt_PreFit.root']
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fileList = [
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmMedPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeMedPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_MedPt_ZnunuMedPt_8TeV_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_Wmunu2_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_LowPt_ZnunuLowPt_8TeV_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmLowPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeLowPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch1_Wenu_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_Wmunu_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch1_WenuHighPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeHighPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_HighPt_ZnunuHighPt_8TeV_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_WmunuHighPt_PostFit_s.root',
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'/shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmHighPt_PostFit_s.root']
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# #tau
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wtn_Wtn_PostFit_s.root
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# #Med
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmMedPt_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeMedPt_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_MedPt_ZnunuMedPt_8TeV_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_Wmunu2_PostFit_s.root
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# #Low
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Znn_LowPt_ZnunuLowPt_8TeV_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZmmLowPt_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Zll_ZeeLowPt_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch1_Wenu_PostFit_s.root
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# /shome/bortigno/VHbbAnalysis/postPreApp//LHCP_PostFit/MJJ_Wln_ch2_Wmunu_PostFit_s.root
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fileList += ['ZeeLowPt_7TeV.root','ZmmLowPt_7TeV.root','WmnLowPt_7TeV.root','ZnnLowPt_7TeV.root']
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fileList += ['ZeeHighPt_7TeV.root','ZmmHighPt_7TeV.root','WmnHighPt_7TeV.root','ZnnHighPt_7TeV.root']
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histosL = []
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for file in fileList:
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print file
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print get_s_over_b(file)
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for th1 in get_th1(file):
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if opts.fom == 's/b':
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th1.Scale(10*get_s_over_b(file))
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if opts.fom == 's/s+b':
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th1.Scale(10*get_s_over_sb(file))
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histosL.append(th1)
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print 'histoL'
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print histosL
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typs = []
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typsL = []
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datas = []
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datasL = []
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#append the name just once
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for histo in histosL:
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typsL.append(histo.GetName())
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if 'data' in histo.GetName():
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datasL.append(histo)
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#datasL.append(datas)
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#typsL.append(typs)
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print typsL
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stack.histos = histosL
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stack.typs = typsL
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stack.datas = datasL
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# stack.datatyps = Ldatatyps[v]
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stack.datanames='data_obs'
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#if signalRegion:
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# stack.overlay = ['VH','VVHF','VVLF']
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# stack.options['pdfName'] = stack.options['pdfName'].replace('.pdf','_preFit.pdf')
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stack.options['pdfName'] = stack.options['pdfName'].replace('.pdf','_combined78tev_postFit_s_over_sb.pdf')
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# stack.options['pdfName'] = stack.options['pdfName'].replace('.pdf','_highPt_7tev.pdf')
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# stack.options['pdfName'] = stack.options['pdfName'].replace('.pdf','_combined_postFit_s_over_b_Hpt_weight_1.pdf'
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stack.lumi = 19040
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stack.doPlot()
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# stack.options['pdfName'] = stack.options['pdfName'].replace('.pdf','_subtructed.pdf')
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# stack.doSubPlot(['VH','VVHF','VVLF'])
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print 'i am done!\n'
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plot()
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sys.exit(0)
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