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#!/usr/bin/env python
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import sys
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import os
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import re
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from optparse import OptionParser
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from array import *
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from decimal import *
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from OSUT3Analysis.Configuration.configurationOptions import *
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from OSUT3Analysis.Configuration.processingUtilities import *
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##set default plotting options
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line_width = 2
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plotting_options = ""
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parser = OptionParser()
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parser = set_commandline_arguments(parser)
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parser.add_option("--hist", action="store_true", dest="plot_hist", default=False,
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help="plot as hollow histograms instead of error bar crosses")
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parser.add_option("--line-width", dest="line_width",
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help="set line width (default is 2)")
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parser.add_option("--pdf", action="store_true", dest="plot_savePdf", default=False,
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help="save plot as pdf in addition")
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(arguments, args) = parser.parse_args()
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if arguments.localConfig:
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sys.path.insert(0,os.getcwd())
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exec("from " + arguments.localConfig.rstrip('.py') + " import *")
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outputFileName = "mc_fit_to_data.root"
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if arguments.outputFileName:
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outputFileName = arguments.outputFileName
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pdfFileName = outputFileName[:-5] + ".pdf"
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condor_dir = set_condor_output_dir(arguments)
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if arguments.makeRatioPlots and arguments.makeDiffPlots:
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print "You have requested both ratio and difference plots. Will make just ratio plots instead"
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arguments.makeRatioPlots = False
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from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TPaveLabel, TPaveText, TF1, gPad
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sys.argv = []
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gROOT.SetBatch()
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gStyle.SetOptStat(0)
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gStyle.SetCanvasBorderMode(0)
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gStyle.SetPadBorderMode(0)
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gStyle.SetPadColor(0)
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gStyle.SetCanvasColor(0)
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gStyle.SetTextFont(42)
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gROOT.ForceStyle()
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outputFile = TFile(outputFileName, "RECREATE")
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datasets_needed = []
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for histogram in input_histograms:
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for dataset in histogram['datasets']:
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if dataset not in datasets_needed:
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datasets_needed.append(dataset)
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if histogram['target_dataset'] not in datasets_needed:
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datasets_needed.append(histogram['target_dataset'])
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#weight = intLumi / 10000.0
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#for dataset in datasets_needed:
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# dataset_file = "%s/%s.root" % (condor_dir,dataset)
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# fin = TFile (dataset_file)
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# flags = fin.Get ("flags")
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# noWeights = flags and flags.GetBinContent (1)
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# fin.Close ()
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#
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# if types[dataset] != "data" and not noWeights:
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# os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", weight))
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# else:
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# os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", 1.0))
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for histogram in input_histograms:
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HistogramsToFit = []
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HistogramDatasets = []
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TargetDataset = histogram['target_dataset']
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Stack = []
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Stack.append (THStack("stack_before",histogram['name']))
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Stack.append (THStack("stack_after",histogram['name']))
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if(intLumi < 1000.):
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LumiText = "L_{int} = " + str(intLumi) + " pb^{-1}"
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else:
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getcontext().prec = 2
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LumiInFb = intLumi/1000.
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LumiText = "L_{int} = " + str(LumiInFb) + " fb^{-1}"
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LumiLabel = TPaveLabel(0.1,0.8,0.34,0.9,LumiText,"NDC")
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LumiLabel.SetBorderSize(0)
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LumiLabel.SetFillColor(0)
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LumiLabel.SetFillStyle(0)
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Label = TPaveText(0.39, 0.7, 0.59, 0.9,"NDC")
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Label.SetBorderSize(0)
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Label.SetFillColor(0)
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Label.SetFillStyle(0)
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Label.SetTextAlign(12)
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BgMCLegend = TLegend(0.70,0.65,0.94,0.89)
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BgMCLegend.AddEntry (0, "Data & Bkgd. MC", "H").SetTextFont (62)
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BgMCLegend.SetBorderSize(0)
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BgMCLegend.SetFillColor(0)
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BgMCLegend.SetFillStyle(0)
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scaleFactor = 1
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numBgMCSamples = 0
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numDataSamples = 0
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numSignalSamples = 0
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fileName = condor_dir + "/" + histogram['target_dataset'] + ".root"
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if not os.path.exists(fileName):
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continue
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inputFile = TFile(fileName)
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if inputFile.IsZombie() or not inputFile.GetNkeys():
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continue
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Target = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
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Target.SetDirectory(0)
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inputFile.Close()
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numDataSamples += 1
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Target.SetFillStyle(0)
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Target.SetLineColor(colors[TargetDataset])
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Target.SetLineStyle(1)
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Target.SetLineWidth(2)
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BgMCLegend.AddEntry(Target,labels[TargetDataset],"LEP").SetTextFont (42)
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xAxisLabel = Target.GetXaxis().GetTitle()
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histoTitle = Target.GetTitle()
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if not outputFile.Get ("OSUAnalysis"):
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outputFile.mkdir ("OSUAnalysis")
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if not outputFile.Get ("OSUAnalysis/" + histogram['channel']):
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outputFile.Get ("OSUAnalysis").mkdir (histogram['channel'])
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for dataset in histogram['datasets']:
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fileName = condor_dir + "/" + dataset + ".root"
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if not os.path.exists(fileName):
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continue
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inputFile = TFile(fileName)
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if inputFile.IsZombie() or not inputFile.GetNkeys():
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continue
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Histogram = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
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Histogram.SetDirectory(0)
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inputFile.Close()
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if arguments.rebinFactor:
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RebinFactor = int(arguments.rebinFactor)
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if Histogram.GetNbinsX() >= RebinFactor*10:
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Histogram.Rebin(RebinFactor)
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numBgMCSamples += 1
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if(arguments.noStack):
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Histogram.SetFillStyle(0)
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Histogram.SetLineColor(colors[dataset])
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Histogram.SetLineWidth(2)
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BgMCLegend.AddEntry(Histogram,labels[dataset],"L").SetTextFont (42)
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else:
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Histogram.SetFillStyle(1001)
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Histogram.SetFillColor(colors[dataset])
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Histogram.SetLineColor(1)
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Histogram.SetLineWidth(1)
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BgMCLegend.AddEntry(Histogram,labels[dataset],"F").SetTextFont (42)
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Histogram.SetLineStyle(1)
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HistogramsToFit.append(Histogram)
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HistogramDatasets.append(dataset)
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def fitf (x, par):
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xBin = HistogramsToFit[0].FindBin (x[0])
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value = 0.0
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for i in range (0, len (HistogramsToFit)):
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value += par[i] * HistogramsToFit[i].GetBinContent (xBin)
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return value
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lowerLimit = Target.GetBinLowEdge (1)
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upperLimit = Target.GetBinLowEdge (Target.GetNbinsX ()) + Target.GetBinWidth (Target.GetNbinsX ())
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if 'lowerLimit' in histogram:
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lowerLimit = histogram['lowerLimit']
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if 'upperLimit' in histogram:
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upperLimit = histogram['upperLimit']
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func = TF1 ("fit", fitf, lowerLimit, upperLimit, len (HistogramsToFit))
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for i in range (0, len (HistogramsToFit)):
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func.SetParameter (i, 1.0)
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func.SetParName (i, labels[HistogramDatasets[i]])
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for i in range (0, histogram['iterations'] - 1):
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print "Iteration " + str (i + 1) + "..."
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Target.Fit ("fit", "QEMR0")
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Target.Fit ("fit", "VEMR0")
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func.SetLineWidth (line_width)
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func.SetLineColor (632)
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Target.SetMarkerStyle (20)
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Target.SetMarkerColor (1)
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Target.SetLineColor (1)
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finalMax = 0
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if not arguments.noStack:
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for bgMCHist in HistogramsToFit:
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finalMax += bgMCHist.GetMaximum()
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else:
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for bgMCHist in HistogramsToFit:
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if(bgMCHist.GetMaximum() > finalMax):
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finalMax = bgMCHist.GetMaximum()
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if(Target.GetMaximum() > finalMax):
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finalMax = Target.GetMaximum()
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Target.SetMaximum(1.1*finalMax)
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Target.SetMinimum(0.0001)
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Canvas = TCanvas(histogram['name'])
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Canvas.cd (1)
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Target.Draw ()
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func.Draw (plotting_options + "same")
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outputFile.cd ("OSUAnalysis/" + histogram['channel'])
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Canvas.Write ()
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if arguments.plot_savePdf:
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if histogram == input_histograms[0]:
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Canvas.Print (pdfFileName + "(", "pdf")
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else:
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Canvas.Print (pdfFileName, "pdf")
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Target.SetStats (0)
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for i in range (0, 2):
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if i == 1:
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for j in range (0, len (HistogramsToFit)):
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HistogramsToFit[j].Scale (func.GetParameter (j))
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for bgMCHist in HistogramsToFit:
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if not arguments.noStack:
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Stack[i].Add(bgMCHist)
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makeRatioPlots = arguments.makeRatioPlots
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makeDiffPlots = arguments.makeDiffPlots
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if i == 0:
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Canvas = TCanvas(histogram['name'] + "_Before")
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if i == 1:
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Canvas = TCanvas(histogram['name'] + "_After")
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if makeRatioPlots or makeDiffPlots:
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Canvas.SetFillStyle(0)
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Canvas.Divide(1,2)
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Canvas.cd(1)
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gPad.SetPad(0.01,0.25,0.99,0.99)
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gPad.SetMargin(0.1,0.05,0.02,0.07)
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gPad.SetFillStyle(0)
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gPad.Update()
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gPad.Draw()
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Canvas.cd(2)
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gPad.SetPad(0.01,0.01,0.99,0.25)
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#format: gPad.SetMargin(l,r,b,t)
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gPad.SetMargin(0.1,0.05,0.4,0.02)
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gPad.SetFillStyle(0)
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gPad.SetGridy(1)
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gPad.Update()
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gPad.Draw()
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Canvas.cd(1)
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if not arguments.noStack:
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Stack[i].SetTitle(histoTitle)
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Stack[i].Draw("HIST")
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Stack[i].GetXaxis().SetTitle(xAxisLabel)
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Stack[i].SetMaximum(1.1*finalMax)
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Stack[i].SetMinimum(0.0001)
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if makeRatioPlots or makeDiffPlots:
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Stack[i].GetHistogram().GetXaxis().SetLabelSize(0)
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else:
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HistogramsToFit[0].SetTitle(histoTitle)
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HistogramsToFit[0].Draw("HIST")
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HistogramsToFit[0].GetXaxis().SetTitle(xAxisLabel)
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HistogramsToFit[0].SetMaximum(1.1*finalMax)
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HistogramsToFit[0].SetMinimum(0.0001)
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for bgMCHist in HistogramsToFit:
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bgMCHist.Draw("HIST SAME")
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dataYield = Target.Integral (1, Target.GetNbinsX ())
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mcYield = 0.0
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for bgMCHist in HistogramsToFit:
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mcYield += bgMCHist.Integral (1, bgMCHist.GetNbinsX ())
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Label.Clear ()
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if i == 0:
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Label.AddText ("Before Fit to Data")
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if i == 1:
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Label.AddText ("After Fit to Data")
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Label.AddText ("data yield: " + '%.1f' % dataYield)
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Label.AddText ("MC yield: " + '%.1f' % mcYield)
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Target.Draw("E SAME")
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BgMCLegend.Draw()
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LumiLabel.Draw()
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Label.Draw()
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if makeRatioPlots or makeDiffPlots:
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Canvas.cd(2)
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BgSum = Stack[i].GetStack().Last()
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Comparison = Target.Clone()
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Comparison.Add(BgSum,-1)
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if not makeDiffPlots:
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Comparison.Divide(BgSum)
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Comparison.SetTitle("")
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Comparison.GetXaxis().SetTitle(xAxisLabel)
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if makeRatioPlots:
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Comparison.GetYaxis().SetTitle("#frac{Data-MC}{MC}")
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elif makeDiffPlots:
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Comparison.GetYaxis().SetTitle("Data-MC")
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Comparison.GetYaxis().CenterTitle()
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| 324 |
Comparison.GetYaxis().SetTitleSize(0.1)
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| 325 |
Comparison.GetYaxis().SetTitleOffset(0.35)
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| 326 |
Comparison.GetXaxis().SetTitleSize(0.15)
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| 327 |
Comparison.GetYaxis().SetLabelSize(0.1)
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| 328 |
Comparison.GetXaxis().SetLabelSize(0.15)
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if makeRatioPlots:
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Comparison.GetYaxis().SetRangeUser(-1,1)
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| 331 |
elif makeDiffPlots:
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YMax = Comparison.GetMaximum()
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| 333 |
YMin = Comparison.GetMinimum()
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| 334 |
if YMax <= 0 and YMin <= 0:
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Comparison.GetYaxis().SetRangeUser(-1.2*YMin,0)
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| 336 |
elif YMax >= 0 and YMin >= 0:
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| 337 |
Comparison.GetYaxis().SetRangeUser(0,1.2*YMax)
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else: #axis crosses y=0
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if abs(YMax) > abs(YMin):
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| 340 |
Comparison.GetYaxis().SetRangeUser(-1.2*YMax,1.2*YMax)
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| 341 |
else:
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| 342 |
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,1.2*YMin)
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| 343 |
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| 344 |
Comparison.GetYaxis().SetNdivisions(205)
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| 345 |
Comparison.Draw()
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| 346 |
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| 347 |
outputFile.cd ("OSUAnalysis/" + histogram['channel'])
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| 348 |
if i == 0:
|
| 349 |
Canvas.Write (histogram['name'] + "_Before")
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| 350 |
if arguments.plot_savePdf:
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| 351 |
Canvas.Print (pdfFileName, "pdf")
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| 352 |
if i == 1:
|
| 353 |
Canvas.Write (histogram['name'] + "_After")
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| 354 |
if arguments.plot_savePdf:
|
| 355 |
if histogram == input_histograms[-1]:
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| 356 |
Canvas.Print (pdfFileName + ")", "pdf")
|
| 357 |
else:
|
| 358 |
Canvas.Print (pdfFileName, "pdf")
|
| 359 |
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| 360 |
outputFile.Close ()
|
| 361 |
|
| 362 |
#for dataset in datasets_needed:
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| 363 |
# dataset_file = "%s/%s.root_tmp" % (condor_dir,dataset)
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| 364 |
# os.remove(dataset_file)
|
