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#include <vector>
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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 <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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using namespace std;
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// User defined parameters
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bool useInv = false; // whether to use n-1 QCD template
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bool realData = false;
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const double stepsize = 0.001;
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//define the constants: 2.78/pb
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const double weight_[3] = {0.0506107, //QCD
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0.0088222, //WJets
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0.000295 //TTbar
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};
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const Double_t procQCD = 1.46;
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const Double_t procWjets = 1.03;
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const Double_t procttjets = 1.0;
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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(Double_t NsS, Double_t Ns1, Double_t Ns2, TH1F* mixS, TH1F* s1, TH1F* s2) {
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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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//KS test
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do {
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sf1 = (NsS - Ns2*sf2)/Ns1;
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if (sf1 < 0) break;
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//cout << "..........sf1 = " << sf1 << endl;
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int nbins = mixS->GetNbinsX();
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double xmin = mixS->GetXaxis()->GetBinLowEdge(1);
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double xmax = mixS->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(s1,s2,sf1,sf2);
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//test->Scale(1./(1.*test->Integral()));
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TString option = (!useInv && !realData) ? "N" : "";
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Double_t probability = mixS -> KolmogorovTest(test,option);
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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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//=================================
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// Main program
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//=================================
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void ikstest() {
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//Style();
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TLatex *latex = new TLatex();
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latex->SetNDC();
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ofstream outprint( "ikstest_results_20100901.txt" );
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//open the files with histograms
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map<string,TFile*> mfile;
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mfile["Data"] = TFile::Open("skimmed_Data_20100901/Data_RefSel_v3.root");
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// n-1 cuts
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if (useInv) {
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if (realData)
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// mfile["InvSel"] = TFile::Open("skimmed_Data_20100825/Data_D0ge0p03.root");
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mfile["InvSel"] = TFile::Open("skimmed_Data_20100901/Data_RelIsoge0p1_v3.root");
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else
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// mfile["InvSel"] = TFile::Open("skimmed_MC/QCD_D0ge0p03.root");
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mfile["InvSel"] = TFile::Open("skimmed_MC/QCD_RelIsoge0p1_v3.root");
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}
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// RefSel MC
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mfile["0"] = TFile::Open("skimmed_MC/QCD_RefSel_v3.root");
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mfile["1"] = TFile::Open("skimmed_MC/WJets_RefSel_v3.root");
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mfile["2"] = TFile::Open("skimmed_MC/TTbar_RefSel_v3.root");
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//define histograms and related parameters
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string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"};
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string histoLabelX[3] = {"p_{T}^{good Muons}", "E_{T}^{#nu}", "m_{T}^{W}"};
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Int_t xbins[3] = {20,20,40};
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Double_t xlow[3] = {0.,0.,0.};
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Double_t xhigh[3] = {100.,100.,200.};
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string sample[3] = {"QCD","Wjets","ttjets"};
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TH1F* h_[9];
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TH1F* mixh_[3];
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TH1F* hQCD_NEW[3];
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TH1F* hKSres_[3];
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TH1F* hKSvalues_[3];
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//load the histograms from the root files
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for (int i = 0; i < 3; i++) {// 3 variables
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//cout << "file[" << i << "] : " << endl;
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string nameNewHisto = "mix_"+histoName[i];
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string nameNewHistoSFKS = "finalSF_"+histoName[i];
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string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[i];
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mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]);
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hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]);
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hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
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if (!useInv) {//use QCD MC sample
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hQCD_NEW[i] = (TH1F*) mfile["0"]->Get(TString(histoName[i]))->Clone();
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hQCD_NEW[i] -> Scale(weight_[0]);
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hQCD_NEW[i] -> SetName((histoName[i]).c_str());
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}
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else {
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hQCD_NEW[i] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[i]));
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if (!realData) hQCD_NEW[i] -> Scale(weight_[0]);
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hQCD_NEW[i] -> SetName((histoName[i]).c_str());
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}
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mixh_[i] -> Sumw2();
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hKSres_[i] -> Sumw2();
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hKSvalues_[i] -> Sumw2();
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}
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for (int n = 0; n < 3; ++n) {// 3 MC samples
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for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
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//cout << "Variable[" << ihisto << "]" << endl;
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string histo_name = histoName[ihisto]+sample[n];
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ostringstream ss;
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ss << n;
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h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone();
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h_[n*3+ihisto] -> Scale(weight_[n]);
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h_[n*3+ihisto] -> SetName(histo_name.c_str());
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}
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}
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//create the mixed samples = "data"
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TCanvas *canvas0 = new TCanvas("Data","Data distributions");
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canvas0->Divide(3,1);
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for (int i = 0; i < 3; i++) {
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canvas0->cd(i+1);
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if (!realData) {
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mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets);
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//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets);
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//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl;
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}
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else {
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TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]));
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mixh_[i] -> Add(htmp,1.);
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}
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mixh_[i]->DrawClone();
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}
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canvas0->SaveAs("Data_distributions.pdf");
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//define the weight corrections for each sample
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double NevData = mixh_[2]->Integral();
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double corr_NevQCD = h_[2]->Integral();
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double corr_NevQCD_NEW = hQCD_NEW[2]->Integral();
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double corr_NevWjets = h_[5]->Integral();
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double corr_Nevttjets = h_[8]->Integral();
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double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets;
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//double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets;
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if (!realData)
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outprint << "Events mix sample = " << corr_Nevmix << endl;
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else
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outprint << "Events in Data = " << NevData << endl;
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outprint << "Events QCD sample = " << corr_NevQCD << endl;
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outprint << "Events Wjets sample = " << corr_NevWjets << endl;
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outprint << "Events InvSel QCD sample = " << corr_NevQCD_NEW << endl;
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//define the containers for chosen numbers (coressponding to the max KStest result)
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testMC maxProb[3];
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//define the scale factors calculated using information obtained from all parameters
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Double_t SFbackg = 0.0;
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Double_t sumSFbackg = 0.0;
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Double_t SFsample = 0.0;
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Double_t sumSFsample = 0.0;
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Double_t allKS = 0.0;
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//do the KS test by varying the scale factors
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for (int i = 0; i < 3; i++) { // 3 variables
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TH1F *data = (TH1F*)mixh_[i]->Clone();
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data -> SetName("dataClone");
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//data -> Scale(1./data->Integral());
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vector<testMC> resultsKS = doKStest((realData ? NevData : corr_Nevmix),
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(useInv ? corr_NevQCD_NEW : corr_NevQCD),
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corr_NevWjets,
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data, hQCD_NEW[i], h_[i+3]);
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testMC tksmax = getMax(resultsKS);
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maxProb[i] = tksmax;
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outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
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outprint << "\tmax Probability = " << maxProb[i].prob << endl;
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outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
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outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl;
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outprint << "\n\tpercent_B of Data = "
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<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
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outprint << "\tpercent_S of Data = "
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<< maxProb[i].scaleF_sample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
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outprint << "---------------------------" << endl;
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//create the mixed samples with KS test results
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sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
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sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
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allKS += maxProb[i].prob;
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//fill a histogram with the results from the KS test for each variable
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for (int jiter = 0; jiter < resultsKS.size(); jiter++) {
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if (resultsKS.at(jiter).prob == 1.)
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cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl;
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hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob);
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}
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delete data;
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}
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//calculate the final scale factors
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SFbackg = sumSFbackg/allKS;
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SFsample = sumSFsample/allKS;
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outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
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outprint << "\tcombined percent_B of Data = "
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<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
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outprint << "\tcombined percent_S of Data = "
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<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
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outprint << "\n" << endl;
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outprint << "=================================" << endl;
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outprint << "\n" << endl;
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//=================================
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// Plots
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//=================================
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for (int i = 0; i < 3; i++) {// 3 variables
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hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample);
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outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
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outprint << "Data->Integral() = " << mixh_[i]->Integral() << endl;
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mixh_[i]->Rebin(2);
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hQCD_NEW[i]->Rebin(2);
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h_[i]->Rebin(2);
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h_[i+3]->Rebin(2);
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hKSres_[i]->Rebin(2);
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//hKSvalues_[i]->Rebin(2);
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mixh_[i] ->SetLineColor(1);
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hQCD_NEW[i] ->SetLineColor(3);
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h_[i] ->SetLineColor(6);
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h_[i+3] ->SetLineColor(4);
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hKSres_[i] ->SetLineColor(2);
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hKSvalues_[i]->SetLineColor(i+1);
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mixh_[i] ->SetMarkerColor(1);
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hQCD_NEW[i] ->SetMarkerColor(3);
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h_[i] ->SetMarkerColor(6);
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h_[i+3] ->SetMarkerColor(4);
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hKSres_[i] ->SetMarkerColor(2);
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| 287 |
hKSvalues_[i]->SetMarkerColor(i+1);
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| 289 |
mixh_[i] ->SetMarkerStyle(24);
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hQCD_NEW[i] ->SetMarkerStyle(20);
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| 291 |
h_[i] ->SetMarkerStyle(20);
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| 292 |
h_[i+3] ->SetMarkerStyle(20);
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| 293 |
hKSres_[i] ->SetMarkerStyle(20);
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| 294 |
hKSvalues_[i]->SetMarkerStyle(20);
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| 295 |
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| 296 |
mixh_[i] ->SetMarkerSize(1.4);
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| 297 |
hQCD_NEW[i] ->SetMarkerSize(1.1);
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| 298 |
h_[i] ->SetMarkerSize(1.1);
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| 299 |
h_[i+3] ->SetMarkerSize(1.1);
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| 300 |
hKSres_[i] ->SetMarkerSize(0.9);
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| 301 |
hKSvalues_[i]->SetMarkerSize(1.1);
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| 302 |
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| 303 |
mixh_[i] ->SetStats(0);
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| 304 |
hQCD_NEW[i] ->SetStats(0);
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| 305 |
h_[i] ->SetStats(0);
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| 306 |
h_[i+3] ->SetStats(0);
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| 307 |
hKSres_[i] ->SetStats(0);
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| 308 |
hKSvalues_[i]->SetStats(0);
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| 309 |
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| 310 |
mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
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| 311 |
mixh_[i]->GetYaxis()->SetTitle("Entries");
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| 312 |
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
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| 313 |
hKSres_[i]->GetYaxis()->SetTitle("Entries");
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| 314 |
hKSvalues_[i]->GetXaxis()->SetTitle("iteration #");
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| 315 |
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
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| 316 |
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| 317 |
string nameCanvas1 = histoName[i]+"_QCD.pdf";
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| 318 |
TCanvas *canvas1 = new TCanvas(nameCanvas1.c_str(), "");
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| 319 |
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
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| 320 |
h_[i] -> Scale(1./h_[i]->Integral());
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| 321 |
h_[i+3] -> Scale(1./h_[i+3]->Integral());
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| 322 |
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
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| 323 |
<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
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| 324 |
hQCD_NEW[i]->Draw("P");
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| 325 |
h_[i]->Draw("sameP");
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| 326 |
h_[i+3]->Draw("sameP");
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| 327 |
TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85);
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| 328 |
legend1->AddEntry(h_[i], "default");
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| 329 |
legend1->AddEntry(h_[i+3], "W+jets");
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| 330 |
legend1->AddEntry(hQCD_NEW[i], "new");
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| 331 |
legend1->Draw();
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| 332 |
legend1->SetFillColor(kWhite);
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| 333 |
latex->DrawLatex(0.22,0.91,histoName[i].c_str());
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| 334 |
canvas1->SetLogy();
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| 335 |
canvas1->SaveAs(nameCanvas1.c_str());
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| 336 |
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| 337 |
string nameCanvas2 = histoName[i]+"_dataKS.pdf";
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| 338 |
TCanvas *canvas2 = new TCanvas(nameCanvas2.c_str(), "");
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| 339 |
hKSres_[i]->Draw("P");
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| 340 |
mixh_[i]->Draw("sameP");
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| 341 |
TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85);
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| 342 |
legend2->AddEntry(mixh_[i], "Data");
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| 343 |
legend2->AddEntry(hKSres_[i], "KS result");
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| 344 |
legend2->Draw();
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| 345 |
legend2->SetFillColor(kWhite);
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| 346 |
latex->DrawLatex(0.22,0.91,histoName[i].c_str());
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| 347 |
canvas2->SetLogy();
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| 348 |
canvas2->SaveAs(nameCanvas2.c_str());
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| 349 |
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| 350 |
}
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| 351 |
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| 352 |
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| 353 |
TCanvas *canvas3 = new TCanvas("KStestValues", "");
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| 354 |
//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.1);
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| 355 |
//hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-3,1.1);
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| 356 |
hKSvalues_[0]->Draw();
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| 357 |
hKSvalues_[1]->SetLineColor(2);
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| 358 |
hKSvalues_[1]->Draw("same");
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| 359 |
hKSvalues_[2]->SetLineColor(4);
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| 360 |
hKSvalues_[2]->Draw("same");
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| 361 |
TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85);
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| 362 |
legend3->AddEntry(hKSvalues_[0], "muon_pT");
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| 363 |
legend3->AddEntry(hKSvalues_[1], "MET");
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| 364 |
legend3->AddEntry(hKSvalues_[2], "W_mT");
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| 365 |
legend3->Draw();
|
| 366 |
legend3->SetFillColor(kWhite);
|
| 367 |
latex->DrawLatex(0.22,0.91,"KS test values");
|
| 368 |
canvas3->SetLogy();
|
| 369 |
string nameCanvas3 = "KStestValues_newQCD.pdf";
|
| 370 |
canvas3->SaveAs(nameCanvas3.c_str());
|
| 371 |
|
| 372 |
}
|
