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#include <vector>
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#include <TROOT.h>
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#include <TFile.h>
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#include <TH1.h>
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#include <TH2.h>
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#include <THStack.h>
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#include <TLatex.h>
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#include <TCanvas.h>
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#include <TMath.h>
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#include <TLegend.h>
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#include <TObject.h>
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#include <iostream>
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#include <sstream>
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#include <fstream>
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#include <iomanip>
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#include <map>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <stdio.h>
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const double stepsize = 0.001;
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//=================================
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// Structure/Functions
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//=================================
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struct testMC {
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testMC(Double_t p = 0., Double_t sb = 0., Double_t ss = 0.){prob=p; scaleF_backg = sb; scaleF_sample = ss;}
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Double_t prob;
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Double_t scaleF_backg;
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Double_t scaleF_sample;
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};
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//function for doing KS test
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vector<testMC> doKStest(const vector<Double_t>& vnevt, map<string,TH1F*>& mhisto) {
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vector<testMC> output;
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//define the scale factors
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Double_t sf1 = 0.0; // QCD
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Double_t sf2 = 0.0; // Wjets
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Double_t Ns = 0.0; // non-Wjets (ttbar,Zjets,single top...)
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for (UInt_t i = 3; i < vnevt.size(); ++i)
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Ns += vnevt[i];
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//cout << "Total number of Non Wjets events = " << Ns << endl;
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//KS test
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do {
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sf1 = (vnevt.at(0) - Ns - vnevt.at(2)*sf2)/vnevt.at(1);
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if (sf1 < 0) break;
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//cout << "..........sf1 = " << sf1 << endl;
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int nbins = mhisto["Data"]->GetNbinsX();
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double xmin = mhisto["Data"]->GetXaxis()->GetBinLowEdge(1);
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double xmax = mhisto["Data"]->GetXaxis()->GetBinUpEdge(nbins);
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TH1F *test = new TH1F("test", "", nbins, xmin, xmax);
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test->Sumw2();
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test->Add(mhisto["QCD"],mhisto["WJets"],sf1,sf2);
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for (map<string,TH1F*>::iterator ihisto = mhisto.begin();
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ihisto != mhisto.end(); ++ihisto) {
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if (ihisto->first != "QCD"
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&& ihisto->first != "Data"
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&& ihisto->first != "WJets"
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) {
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test->Add(ihisto->second,1.);
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}
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}
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//test->Scale(1./(1.*test->Integral()));
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Double_t probability = mhisto["Data"]->KolmogorovTest(test,"");
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testMC temp = testMC(probability,sf1,sf2);
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output.push_back(temp);
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/* cout << "probability = " << setw(15) << temp.prob */
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/* << "; sfQCD = " << setw(10) << temp.scaleF_backg */
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/* << "; sfWjets = " << setw(6) << temp.scaleF_sample << endl; */
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delete test;
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sf2 = sf2 + stepsize;
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} while(sf1 > 0 && sf2 <= 2.0);
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return output;
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}
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//get the maximum KS test result
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testMC getMax(vector<testMC> vec) {
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testMC maxKSRes;
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Double_t maximum = 0.0;
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for (size_t i = 0; i < vec.size(); i++) {
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if (maximum < vec.at(i).prob) {
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maximum = vec.at(i).prob;
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maxKSRes = vec.at(i);
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}
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}
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cout << "for maximum: " << setw(12) << maxKSRes.prob
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<< "; sb = " << setw(10) << maxKSRes.scaleF_backg
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<< "; ss = " << setw(5) << maxKSRes.scaleF_sample << endl;
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return maxKSRes;
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}
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