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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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#include "ikstest.h" |
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#include "TopStyle/CMSTopStyle.cc" |
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|
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//================================= |
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// Program to run IKS test |
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// * Input directories: |
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// * Data: skimmed_Data_x.xxpb-1 |
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// => default selection : Data_<suffix>.root |
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// => n-1 selection : Data_<suffix>_<invName>.root |
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// * MC : skimmed_MC {QCD,WJets,TTbar...} |
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// => default selection : QCD_<suffix>.root |
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// => n-1 selection : Data_<suffix>_<invName>.root |
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// * Upmost output dir specified by <desDir> |
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// subdirectory created according to <useInv> and <realData> |
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// => <desDir'><xyz><suffix>.pdf (.txt) |
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// * e.g. to do KS test on data with MC QCD shape in signal region: |
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// useInv=false; realData=true |
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//================================= |
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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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|
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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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//define the constants: 2.88/pb |
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const Double_t weight_[5] = {0.0524313, //QCD |
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0.0089567, //WJets |
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0.000306, //TTbar |
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0.0080911, //ZJets |
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0.000114 //STtch |
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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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|
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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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|
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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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Double_t probability = mixS -> 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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|
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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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const Double_t procWJets = 1.03; |
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const Double_t procTTbar = 1.; |
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const Double_t procZJets = 1.; |
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const Double_t procSTtch = 1.; |
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|
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// Output directory |
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TString baseDir = "Results_2.88pb-1_NEW/"; |
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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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// Ntuples to use |
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TString suffix = "Sel0"; // Suffix of selection |
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TString invNames[2] = {"RelIsogt0p1","D0gt0p02"}; |
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map<TString,TCanvas*> cvs; // map of usual histogram |
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bool debug_ = false; |
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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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CMSTopStyle style; |
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gROOT->SetStyle("CMS"); |
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TLatex *latex = new TLatex(); |
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latex->SetNDC(); |
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|
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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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|
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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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|
113 |
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//define histograms and related parameters |
114 |
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string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"}; |
115 |
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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.}; |
118 |
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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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|
121 |
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TH1F* h_[9]; |
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TH1F* mixh_[3]; |
123 |
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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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|
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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]; |
133 |
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|
134 |
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mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]); |
135 |
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hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]); |
136 |
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hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize); |
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|
138 |
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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(); |
140 |
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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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int size_ninv = (useInv ? 2 : 1); |
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for (int ninv = 0;ninv < size_ninv; ++ninv) { |
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TString invName = invNames[ninv]; |
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TString desDir; |
59 |
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if (!useInv) { |
60 |
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if (!realData) desDir = baseDir + "MC/"; |
61 |
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else desDir = baseDir + "Data_MC/"; |
62 |
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} else { |
63 |
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if (!realData) desDir = baseDir + "MC_"+invName+"/"; |
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else desDir = baseDir + "Data_"+invName+"/"; |
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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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struct stat stDir; |
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if (!stat(desDir,&stDir)){ |
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cout << "Output folder exists! Continues? (enter to continue; 'q' for quit)" << endl; |
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char incmd; |
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cin.get(incmd); |
71 |
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if (incmd == 'q') return; |
72 |
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} else { |
73 |
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cout << "Creating folder : " << desDir << endl; |
74 |
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if (mkdir(desDir,0755) == -1){ |
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std::cerr << "Error creating folder" << endl; |
76 |
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return; |
77 |
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} |
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} |
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|
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mixh_[i] -> Sumw2(); |
81 |
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hKSres_[i] -> Sumw2(); |
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hKSvalues_[i] -> Sumw2(); |
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} |
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ofstream outprint(TString(desDir+"Results_"+suffix+".txt")); |
81 |
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//open the files with histograms |
82 |
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map<string,TFile*> mfile; |
83 |
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mfile.clear(); |
84 |
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mfile["Data"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+".root")); |
85 |
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// n-1 cuts |
86 |
> |
if (useInv) { |
87 |
> |
if (realData) |
88 |
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mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+"_"+invName+".root")); |
89 |
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else |
90 |
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mfile["InvSel"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+"_"+invName+".root")); |
91 |
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} |
92 |
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// RefSel MC |
93 |
> |
mfile["0"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+".root")); |
94 |
> |
mfile["1"] = TFile::Open(TString("skimmed_MC/v5/WJets_"+suffix+".root")); |
95 |
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mfile["2"] = TFile::Open(TString("skimmed_MC/v5/TTbar_"+suffix+".root")); |
96 |
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mfile["3"] = TFile::Open(TString("skimmed_MC/v5/ZJets_"+suffix+".root")); |
97 |
> |
mfile["4"] = TFile::Open(TString("skimmed_MC/v5/STtch_"+suffix+".root")); |
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> |
|
99 |
> |
//define histograms and related parameters |
100 |
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string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"}; |
101 |
> |
string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"}; |
102 |
> |
Int_t xbins[3] = {20,20,40}; |
103 |
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Double_t xlow[3] = {0.,0.,0.}; |
104 |
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Double_t xhigh[3] = {100.,100.,200.}; |
105 |
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string sample[5] = {"QCD","WJets","TTbar","ZJets","STtch"}; |
106 |
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|
107 |
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TH1F* hMC_[5][3]; // MC histograms |
108 |
> |
TH1F* hData_[3]; // Data or mix MC |
109 |
> |
TH1F* hQCD_NEW[3]; // InvSel QCD shape |
110 |
> |
TH1F* hKSres_[3]; |
111 |
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TH1F* hKSvalues_[3]; |
112 |
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TH1F* hQCD_KS[3]; |
113 |
> |
TH1F* hWJets_KS[3]; |
114 |
> |
|
115 |
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//load the histograms from the root files |
116 |
> |
for (int vi = 0; vi < 3; ++vi) {// 3 variables |
117 |
> |
//cout << "file[" << vi << "] : " << endl; |
118 |
> |
string nameNewHisto = "mix_"+histoName[vi]; |
119 |
> |
string nameNewHistoSFKS = "finalSF_"+histoName[vi]; |
120 |
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string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[vi]; |
121 |
> |
|
122 |
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hData_[vi] = new TH1F(nameNewHisto.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]); |
123 |
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hKSres_[vi] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]); |
124 |
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hKSvalues_[vi] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize); |
125 |
> |
|
126 |
> |
ostringstream ssc; |
127 |
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ssc << vi; |
128 |
> |
|
129 |
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if (!useInv) {//use QCD MC sample |
130 |
> |
hQCD_NEW[vi] = (TH1F*) mfile["0"]->Get(TString(histoName[vi]))->Clone(); |
131 |
> |
hQCD_NEW[vi] -> Scale(weight_[0]); |
132 |
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hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+"_"+ssc.str())); |
133 |
> |
} |
134 |
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else { |
135 |
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hQCD_NEW[vi] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[vi]))->Clone(); |
136 |
> |
if (!realData) hQCD_NEW[vi] -> Scale(weight_[0]); |
137 |
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hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+"_"+ssc.str())); |
138 |
> |
} |
139 |
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if (debug_) cout << "hQCD_NEW[" << vi << "] @ " << hQCD_NEW[vi] << endl; |
140 |
> |
|
141 |
> |
hData_[vi] -> Sumw2(); |
142 |
> |
hKSres_[vi] -> Sumw2(); |
143 |
> |
hKSvalues_[vi] -> Sumw2(); |
144 |
> |
} |
145 |
|
|
146 |
< |
for (int n = 0; n < 3; ++n) {// 3 MC samples |
147 |
< |
for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables |
148 |
< |
//cout << "Variable[" << ihisto << "]" << endl; |
149 |
< |
string histo_name = histoName[ihisto]+sample[n]; |
150 |
< |
ostringstream ss; |
151 |
< |
ss << n; |
152 |
< |
h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone(); |
153 |
< |
h_[n*3+ihisto] -> Scale(weight_[n]); |
154 |
< |
h_[n*3+ihisto] -> SetName(histo_name.c_str()); |
146 |
> |
for (int n = 0; n < 5; ++n) {// 3 MC samples |
147 |
> |
for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables |
148 |
> |
//cout << "Variable[" << ihisto << "]" << endl; |
149 |
> |
string histo_name = histoName[ihisto]+sample[n]; |
150 |
> |
ostringstream ss; |
151 |
> |
ss << n; |
152 |
> |
hMC_[n][ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone(); |
153 |
> |
if (debug_) { |
154 |
> |
cout << "File[" << n << "] @" << mfile[ss.str()] |
155 |
> |
<< "; histo[" << ihisto << "] @ " << mfile[ss.str()]->Get(TString(histoName[ihisto])) |
156 |
> |
<<"; hMC_[" << n << "][" << ihisto << "] raw evts = " |
157 |
> |
<< setw(12) << hMC_[n][ihisto]->Integral(); |
158 |
> |
} |
159 |
> |
hMC_[n][ihisto] -> Scale(weight_[n]); |
160 |
> |
hMC_[n][ihisto] -> SetName(TString("MC_"+sample[n]+"_"+histoName[ihisto])); |
161 |
> |
if (debug_) cout << "; weighted num evts = " << setw(8) << hMC_[n][ihisto]->Integral() << endl; |
162 |
> |
} |
163 |
|
} |
164 |
– |
} |
164 |
|
|
165 |
< |
//create the mixed samples = "data" |
166 |
< |
TCanvas *canvas0 = new TCanvas("Data","Data distributions"); |
167 |
< |
canvas0->Divide(3,1); |
168 |
< |
for (int i = 0; i < 3; i++) { |
169 |
< |
canvas0->cd(i+1); |
171 |
< |
if (!realData) { |
172 |
< |
mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets); |
173 |
< |
//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets); |
174 |
< |
//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl; |
165 |
> |
//create the mixed samples = "data" |
166 |
> |
TString cvsName0 = "Data"; |
167 |
> |
if (useInv) { |
168 |
> |
cvsName0 += "_"; |
169 |
> |
cvsName0 += invName; |
170 |
|
} |
171 |
< |
else { |
172 |
< |
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i])); |
173 |
< |
mixh_[i] -> Add(htmp,1.); |
171 |
> |
cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",600,700); |
172 |
> |
cvs[cvsName0]->Divide(3,1); |
173 |
> |
for (int i = 0; i < 3; i++) { |
174 |
> |
cvs[cvsName0]->cd(i+1); |
175 |
> |
if (!realData) { |
176 |
> |
hData_[i] -> Add(hMC_[0][i],hMC_[1][i], procQCD,procWJets); |
177 |
> |
hData_[i] -> Add(hMC_[2][i], procTTbar); |
178 |
> |
hData_[i] -> Add(hMC_[3][i], procZJets); |
179 |
> |
hData_[i] -> Add(hMC_[4][i], procSTtch); |
180 |
> |
} |
181 |
> |
else { |
182 |
> |
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i])); |
183 |
> |
hData_[i] -> Add(htmp,1.); |
184 |
> |
} |
185 |
> |
hData_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
186 |
> |
hData_[i]->GetYaxis()->SetTitle("Entries"); |
187 |
> |
hData_[i]->DrawClone(); |
188 |
|
} |
189 |
< |
mixh_[i]->DrawClone(); |
190 |
< |
} |
191 |
< |
canvas0->SaveAs("Data_distributions.pdf"); |
189 |
> |
cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions.pdf")); |
190 |
> |
|
191 |
> |
//Calculate num of events for each sample |
192 |
> |
vector<double> vNev_; |
193 |
> |
|
194 |
> |
double NevData = hData_[2]->Integral(); |
195 |
> |
double corr_NevQCD = hMC_[0][2]->Integral(); |
196 |
> |
double corr_NevQCD_NEW = hQCD_NEW[2]->Integral(); |
197 |
> |
double corr_NevWJets = hMC_[1][2]->Integral(); |
198 |
> |
double corr_NevTTbar = hMC_[2][2]->Integral(); |
199 |
> |
double corr_NevZJets = hMC_[3][2]->Integral(); |
200 |
> |
double corr_NevSTtch = hMC_[4][2]->Integral(); |
201 |
> |
cout << "corr_NevSTtch = " << corr_NevSTtch << endl; |
202 |
> |
// double corr_Nevmix = procQCD*corr_NevQCD + procWJets*corr_NevWJets |
203 |
> |
// + procTTbar*corr_NevTTbar+procZJets*corr_NevZJets + procSTtch*corr_NevSTtch;//should equal NevData for MC |
204 |
> |
// store nev in a vector |
205 |
> |
vNev_.push_back(NevData); |
206 |
> |
vNev_.push_back((useInv ? corr_NevQCD_NEW : corr_NevQCD)); |
207 |
> |
vNev_.push_back(corr_NevWJets); |
208 |
> |
|
209 |
> |
// Non WJets (use MC expected values): |
210 |
> |
if (procTTbar > 0.) vNev_.push_back(corr_NevTTbar*procTTbar); |
211 |
> |
if (procZJets > 0.) vNev_.push_back(corr_NevZJets*procZJets); |
212 |
> |
if (procSTtch > 0.) vNev_.push_back(corr_NevSTtch*procSTtch); |
213 |
|
|
184 |
– |
//define the weight corrections for each sample |
185 |
– |
double NevData = mixh_[2]->Integral(); |
186 |
– |
double corr_NevQCD = h_[2]->Integral(); |
187 |
– |
double corr_NevQCD_NEW = hQCD_NEW[2]->Integral(); |
188 |
– |
double corr_NevWjets = h_[5]->Integral(); |
189 |
– |
double corr_Nevttjets = h_[8]->Integral(); |
190 |
– |
double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets; |
191 |
– |
//double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets; |
192 |
– |
if (!realData) |
193 |
– |
outprint << "Events mix sample = " << corr_Nevmix << endl; |
194 |
– |
else |
214 |
|
outprint << "Events in Data = " << NevData << endl; |
215 |
< |
outprint << "Events QCD sample = " << corr_NevQCD << endl; |
216 |
< |
outprint << "Events Wjets sample = " << corr_NevWjets << endl; |
198 |
< |
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl; |
199 |
< |
|
200 |
< |
//define the containers for chosen numbers (coressponding to the max KStest result) |
201 |
< |
testMC maxProb[3]; |
202 |
< |
|
203 |
< |
//define the scale factors calculated using information obtained from all parameters |
204 |
< |
Double_t SFbackg = 0.0; |
205 |
< |
Double_t sumSFbackg = 0.0; |
206 |
< |
Double_t SFsample = 0.0; |
207 |
< |
Double_t sumSFsample = 0.0; |
208 |
< |
Double_t allKS = 0.0; |
209 |
< |
|
210 |
< |
//do the KS test by varying the scale factors |
211 |
< |
for (int i = 0; i < 3; i++) { // 3 variables |
212 |
< |
TH1F *data = (TH1F*)mixh_[i]->Clone(); |
213 |
< |
data -> SetName("dataClone"); |
214 |
< |
//data -> Scale(1./data->Integral()); |
215 |
< |
vector<testMC> resultsKS = doKStest((realData ? NevData : corr_Nevmix), |
216 |
< |
(useInv ? corr_NevQCD_NEW : corr_NevQCD), |
217 |
< |
corr_NevWjets, |
218 |
< |
data, hQCD_NEW[i], h_[i+3]); |
219 |
< |
testMC tksmax = getMax(resultsKS); |
220 |
< |
maxProb[i] = tksmax; |
221 |
< |
outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl; |
222 |
< |
outprint << "\tmax Probability = " << maxProb[i].prob << endl; |
223 |
< |
outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl; |
224 |
< |
outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl; |
225 |
< |
|
226 |
< |
outprint << "\n\tpercent_B of Data = " |
227 |
< |
<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl; |
228 |
< |
outprint << "\tpercent_S of Data = " |
229 |
< |
<< maxProb[i].scaleF_sample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl; |
215 |
> |
outprint << "Events QCD sample = " << corr_NevQCD << endl; |
216 |
> |
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl; |
217 |
|
outprint << "---------------------------" << endl; |
218 |
< |
|
219 |
< |
//create the mixed samples with KS test results |
220 |
< |
sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg; |
221 |
< |
sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample; |
222 |
< |
allKS += maxProb[i].prob; |
223 |
< |
|
224 |
< |
//fill a histogram with the results from the KS test for each variable |
225 |
< |
for (int jiter = 0; jiter < resultsKS.size(); jiter++) { |
226 |
< |
if (resultsKS.at(jiter).prob == 1.) |
227 |
< |
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl; |
228 |
< |
hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob); |
218 |
> |
outprint << "Events WJets sample = " << corr_NevWJets << endl; |
219 |
> |
outprint << "Events TTbar sample = " << corr_NevTTbar << endl; |
220 |
> |
outprint << "Events ZJets sample = " << corr_NevZJets << endl; |
221 |
> |
outprint << "Events STtch sample = " << corr_NevSTtch << endl; |
222 |
> |
|
223 |
> |
//define the containers for chosen numbers (coressponding to the max KStest result) |
224 |
> |
testMC maxProb[3]; |
225 |
> |
|
226 |
> |
//define the scale factors calculated using information obtained from all parameters |
227 |
> |
Double_t SFbackg = 0.0; |
228 |
> |
Double_t sumSFbackg = 0.0; |
229 |
> |
Double_t SFsample = 0.0; |
230 |
> |
Double_t sumSFsample = 0.0; |
231 |
> |
Double_t allKS = 0.0; |
232 |
> |
|
233 |
> |
//do the KS test by varying the scale factors |
234 |
> |
for (int i = 0; i < 3; i++) { // 3 variables |
235 |
> |
TH1F *data = (TH1F*)hData_[i]->Clone("data"); |
236 |
> |
data -> SetName("dataClone"); |
237 |
> |
map<string,TH1F*> mHisto_; |
238 |
> |
mHisto_.clear(); |
239 |
> |
mHisto_["Data"] = data; |
240 |
> |
mHisto_["QCD"] = (useInv ? (TH1F*)hQCD_NEW[i]->Clone() : (TH1F*)hMC_[0][i]->Clone()); |
241 |
> |
mHisto_["WJets"] = (TH1F*)hMC_[1][i]->Clone();//WJets |
242 |
> |
if (procTTbar > 0.) mHisto_["TTbar"] = (TH1F*)hMC_[2][i]->Clone();//TTbar |
243 |
> |
if (procZJets > 0.) mHisto_["ZJets"] = (TH1F*)hMC_[3][i]->Clone();//ZJets |
244 |
> |
if (procSTtch > 0.) mHisto_["STtch"] = (TH1F*)hMC_[4][i]->Clone();//STtch |
245 |
> |
|
246 |
> |
//data -> Scale(1./data->Integral()); |
247 |
> |
vector<testMC> resultsKS = doKStest(vNev_,mHisto_); |
248 |
> |
testMC tksmax = getMax(resultsKS); |
249 |
> |
maxProb[i] = tksmax; |
250 |
> |
outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl; |
251 |
> |
outprint << "\tmax Probability = " << maxProb[i].prob << endl; |
252 |
> |
outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl; |
253 |
> |
outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl; |
254 |
> |
|
255 |
> |
outprint << "\n\tpercent_B of Data = " |
256 |
> |
<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/NevData << endl; |
257 |
> |
outprint << "\tpercent_S of Data = " |
258 |
> |
<< maxProb[i].scaleF_sample*corr_NevWJets*100/NevData << endl; |
259 |
> |
outprint << "---------------------------" << endl; |
260 |
> |
|
261 |
> |
//create the mixed samples with KS test results |
262 |
> |
sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg; |
263 |
> |
sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample; |
264 |
> |
allKS += maxProb[i].prob; |
265 |
> |
|
266 |
> |
//fill a histogram with the results from the KS test for each variable |
267 |
> |
for (unsigned int jiter = 0; jiter < resultsKS.size(); jiter++) { |
268 |
> |
if (resultsKS.at(jiter).prob == 1.) |
269 |
> |
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl; |
270 |
> |
hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob); |
271 |
> |
} |
272 |
> |
delete data; |
273 |
|
} |
243 |
– |
delete data; |
244 |
– |
} |
274 |
|
|
275 |
< |
//calculate the final scale factors |
276 |
< |
SFbackg = sumSFbackg/allKS; |
277 |
< |
SFsample = sumSFsample/allKS; |
278 |
< |
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl; |
279 |
< |
outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl; |
280 |
< |
outprint << "\tcombined percent_B of Data = " |
281 |
< |
<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl; |
282 |
< |
outprint << "\tcombined percent_S of Data = " |
283 |
< |
<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl; |
284 |
< |
outprint << "\n" << endl; |
285 |
< |
outprint << "=================================" << endl; |
286 |
< |
outprint << "\n" << endl; |
287 |
< |
|
288 |
< |
|
289 |
< |
//================================= |
290 |
< |
// Plots |
291 |
< |
//================================= |
292 |
< |
for (int i = 0; i < 3; i++) {// 3 variables |
293 |
< |
hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample); |
294 |
< |
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl; |
295 |
< |
outprint << "Data->Integral() = " << mixh_[i]->Integral() << endl; |
296 |
< |
|
297 |
< |
mixh_[i]->Rebin(2); |
298 |
< |
hQCD_NEW[i]->Rebin(2); |
299 |
< |
h_[i]->Rebin(2); |
300 |
< |
h_[i+3]->Rebin(2); |
301 |
< |
hKSres_[i]->Rebin(2); |
302 |
< |
//hKSvalues_[i]->Rebin(2); |
303 |
< |
|
304 |
< |
mixh_[i] ->SetLineColor(1); |
305 |
< |
hQCD_NEW[i] ->SetLineColor(3); |
306 |
< |
h_[i] ->SetLineColor(6); |
307 |
< |
h_[i+3] ->SetLineColor(4); |
308 |
< |
hKSres_[i] ->SetLineColor(2); |
309 |
< |
hKSvalues_[i]->SetLineColor(i+1); |
310 |
< |
|
311 |
< |
mixh_[i] ->SetMarkerColor(1); |
312 |
< |
hQCD_NEW[i] ->SetMarkerColor(3); |
313 |
< |
h_[i] ->SetMarkerColor(6); |
314 |
< |
h_[i+3] ->SetMarkerColor(4); |
315 |
< |
hKSres_[i] ->SetMarkerColor(2); |
316 |
< |
hKSvalues_[i]->SetMarkerColor(i+1); |
317 |
< |
|
318 |
< |
mixh_[i] ->SetMarkerStyle(24); |
319 |
< |
hQCD_NEW[i] ->SetMarkerStyle(20); |
320 |
< |
h_[i] ->SetMarkerStyle(20); |
321 |
< |
h_[i+3] ->SetMarkerStyle(20); |
322 |
< |
hKSres_[i] ->SetMarkerStyle(20); |
323 |
< |
hKSvalues_[i]->SetMarkerStyle(20); |
324 |
< |
|
325 |
< |
mixh_[i] ->SetMarkerSize(1.4); |
326 |
< |
hQCD_NEW[i] ->SetMarkerSize(1.1); |
327 |
< |
h_[i] ->SetMarkerSize(1.1); |
328 |
< |
h_[i+3] ->SetMarkerSize(1.1); |
329 |
< |
hKSres_[i] ->SetMarkerSize(0.9); |
330 |
< |
hKSvalues_[i]->SetMarkerSize(1.1); |
331 |
< |
|
332 |
< |
mixh_[i] ->SetStats(0); |
333 |
< |
hQCD_NEW[i] ->SetStats(0); |
334 |
< |
h_[i] ->SetStats(0); |
335 |
< |
h_[i+3] ->SetStats(0); |
336 |
< |
hKSres_[i] ->SetStats(0); |
337 |
< |
hKSvalues_[i]->SetStats(0); |
338 |
< |
|
339 |
< |
mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
340 |
< |
mixh_[i]->GetYaxis()->SetTitle("Entries"); |
341 |
< |
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
342 |
< |
hKSres_[i]->GetYaxis()->SetTitle("Entries"); |
343 |
< |
hKSvalues_[i]->GetXaxis()->SetTitle("iteration #"); |
344 |
< |
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values"); |
345 |
< |
|
346 |
< |
string nameCanvas1 = histoName[i]+"_QCD.pdf"; |
347 |
< |
TCanvas *canvas1 = new TCanvas(nameCanvas1.c_str(), ""); |
348 |
< |
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral()); |
349 |
< |
h_[i] -> Scale(1./h_[i]->Integral()); |
350 |
< |
h_[i+3] -> Scale(1./h_[i+3]->Integral()); |
351 |
< |
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = " |
352 |
< |
<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl; |
353 |
< |
hQCD_NEW[i]->Draw("P"); |
354 |
< |
h_[i]->Draw("sameP"); |
355 |
< |
h_[i+3]->Draw("sameP"); |
356 |
< |
TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85); |
357 |
< |
legend1->AddEntry(h_[i], "default"); |
358 |
< |
legend1->AddEntry(h_[i+3], "W+jets"); |
359 |
< |
legend1->AddEntry(hQCD_NEW[i], "new"); |
360 |
< |
legend1->Draw(); |
361 |
< |
legend1->SetFillColor(kWhite); |
362 |
< |
latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
363 |
< |
canvas1->SetLogy(); |
364 |
< |
canvas1->SaveAs(nameCanvas1.c_str()); |
365 |
< |
|
366 |
< |
string nameCanvas2 = histoName[i]+"_dataKS.pdf"; |
367 |
< |
TCanvas *canvas2 = new TCanvas(nameCanvas2.c_str(), ""); |
368 |
< |
hKSres_[i]->Draw("P"); |
369 |
< |
mixh_[i]->Draw("sameP"); |
370 |
< |
TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85); |
371 |
< |
legend2->AddEntry(mixh_[i], "Data"); |
372 |
< |
legend2->AddEntry(hKSres_[i], "KS result"); |
373 |
< |
legend2->Draw(); |
374 |
< |
legend2->SetFillColor(kWhite); |
375 |
< |
latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
376 |
< |
canvas2->SetLogy(); |
377 |
< |
canvas2->SaveAs(nameCanvas2.c_str()); |
378 |
< |
|
379 |
< |
} |
275 |
> |
//calculate the final scale factors |
276 |
> |
SFbackg = sumSFbackg/allKS; |
277 |
> |
SFsample = sumSFsample/allKS; |
278 |
> |
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl; |
279 |
> |
outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl; |
280 |
> |
outprint << "\tcombined percent_B of Data = " |
281 |
> |
<< SFbackg*corr_NevQCD_NEW*100/NevData << endl; |
282 |
> |
outprint << "\tcombined percent_S of Data = " |
283 |
> |
<< SFsample*corr_NevWJets*100/NevData << endl; |
284 |
> |
outprint << "\n" << endl; |
285 |
> |
outprint << "=================================" << endl; |
286 |
> |
outprint << "\n" << endl; |
287 |
> |
|
288 |
> |
|
289 |
> |
//================================= |
290 |
> |
// Plots |
291 |
> |
//================================= |
292 |
> |
for (int i = 0; i < 3; i++) {// 3 variables |
293 |
> |
hKSres_[i] -> Add((TH1F*)hQCD_NEW[i]->Clone(),(TH1F*)hMC_[1][i]->Clone(),SFbackg,SFsample); |
294 |
> |
hKSres_[i] -> Add((TH1F*)hMC_[2][i]->Clone(),procTTbar); |
295 |
> |
hKSres_[i] -> Add((TH1F*)hMC_[3][i]->Clone(),procZJets); |
296 |
> |
hKSres_[i] -> Add((TH1F*)hMC_[4][i]->Clone(),procSTtch); |
297 |
> |
|
298 |
> |
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl; |
299 |
> |
outprint << "Data->Integral() = " << hData_[i]->Integral() << endl; |
300 |
> |
|
301 |
> |
hData_[i]->Rebin(2); |
302 |
> |
hQCD_NEW[i]->Rebin(2); |
303 |
> |
hMC_[0][i]->Rebin(2); |
304 |
> |
hMC_[1][i]->Rebin(2); |
305 |
> |
hKSres_[i]->Rebin(2); |
306 |
> |
//hKSvalues_[i]->Rebin(2); |
307 |
> |
|
308 |
> |
// Stack Wjets and QCD after scaled by KS factors |
309 |
> |
hQCD_KS[i] = (TH1F*) hQCD_NEW[i]->Clone(); |
310 |
> |
hQCD_KS[i]->Scale(SFbackg); |
311 |
> |
hQCD_KS[i]->SetLineColor(style.QCDColor); |
312 |
> |
hQCD_KS[i]->SetFillColor(style.QCDColor); |
313 |
> |
hQCD_KS[i]->SetFillStyle(style.QCDFill); |
314 |
> |
|
315 |
> |
hWJets_KS[i] = (TH1F*) hMC_[1][i]->Clone(); |
316 |
> |
hWJets_KS[i]->Scale(SFsample); |
317 |
> |
hWJets_KS[i]->SetLineColor(style.WJetsColor); |
318 |
> |
hWJets_KS[i]->SetFillColor(style.WJetsColor); |
319 |
> |
hWJets_KS[i]->SetFillStyle(style.WJetsFill); |
320 |
> |
|
321 |
> |
if (procTTbar > 0.) { |
322 |
> |
hMC_[2][i]->Rebin(2); |
323 |
> |
hMC_[2][i]->SetLineColor(style.TtbarColor); |
324 |
> |
hMC_[2][i]->SetFillColor(style.TtbarColor); |
325 |
> |
hMC_[2][i]->SetFillStyle(style.TtbarFill); |
326 |
> |
} |
327 |
> |
if (procZJets > 0.) { |
328 |
> |
hMC_[3][i]->Rebin(2); |
329 |
> |
hMC_[3][i]->SetLineColor(style.DYZJetsColor); |
330 |
> |
hMC_[3][i]->SetFillColor(style.DYZJetsColor); |
331 |
> |
hMC_[3][i]->SetFillStyle(style.DYZJetsFill); |
332 |
> |
} |
333 |
> |
if (procSTtch > 0.) { |
334 |
> |
hMC_[4][i]->Rebin(2); |
335 |
> |
hMC_[4][i]->SetLineColor(style.ST_t_sColor); |
336 |
> |
hMC_[4][i]->SetFillColor(style.ST_t_sColor); |
337 |
> |
hMC_[4][i]->SetFillStyle(style.ST_t_sFill); |
338 |
> |
} |
339 |
> |
THStack *hst = new THStack(invName,invName); |
340 |
> |
hst->Add((TH1F*)hQCD_KS[i]->Clone()); |
341 |
> |
if (procSTtch > 0) hst->Add((TH1F*)hMC_[4][i]->Clone()); |
342 |
> |
if (procZJets > 0) hst->Add((TH1F*)hMC_[3][i]->Clone()); |
343 |
> |
hst->Add((TH1F*)hWJets_KS[i]->Clone()); |
344 |
> |
if (procTTbar > 0) hst->Add((TH1F*)hMC_[2][i]->Clone()); |
345 |
> |
|
346 |
> |
// Set plotting parameters |
347 |
> |
hData_[i] ->SetLineColor(1); |
348 |
> |
hQCD_NEW[i] ->SetLineColor(2); |
349 |
> |
hMC_[0][i] ->SetLineColor(4); |
350 |
> |
hMC_[1][i] ->SetLineColor(3); |
351 |
> |
hKSres_[i] ->SetLineColor(2); |
352 |
> |
hKSvalues_[i]->SetLineColor(i+1); |
353 |
> |
|
354 |
> |
hData_[i] ->SetMarkerColor(1); |
355 |
> |
hQCD_NEW[i] ->SetMarkerColor(2); |
356 |
> |
hMC_[0][i] ->SetMarkerColor(4); |
357 |
> |
hMC_[1][i] ->SetMarkerColor(3); |
358 |
> |
hKSres_[i] ->SetMarkerColor(2); |
359 |
> |
hKSvalues_[i]->SetMarkerColor(i+1); |
360 |
> |
|
361 |
> |
hData_[i] ->SetMarkerStyle(24); |
362 |
> |
hQCD_NEW[i] ->SetMarkerStyle(20); |
363 |
> |
hMC_[0][i] ->SetMarkerStyle(20); |
364 |
> |
hMC_[1][i] ->SetMarkerStyle(20); |
365 |
> |
hKSres_[i] ->SetMarkerStyle(20); |
366 |
> |
hKSvalues_[i]->SetMarkerStyle(20); |
367 |
> |
|
368 |
> |
hData_[i] ->SetMarkerSize(1.4); |
369 |
> |
hQCD_NEW[i] ->SetMarkerSize(1.1); |
370 |
> |
hMC_[0][i] ->SetMarkerSize(1.1); |
371 |
> |
hMC_[1][i] ->SetMarkerSize(1.1); |
372 |
> |
hKSres_[i] ->SetMarkerSize(0.9); |
373 |
> |
hKSvalues_[i]->SetMarkerSize(1.1); |
374 |
> |
|
375 |
> |
hData_[i] ->SetStats(0); |
376 |
> |
hQCD_NEW[i] ->SetStats(0); |
377 |
> |
hMC_[0][i] ->SetStats(0); |
378 |
> |
hMC_[1][i] ->SetStats(0); |
379 |
> |
hKSres_[i] ->SetStats(0); |
380 |
> |
hKSvalues_[i]->SetStats(0); |
381 |
> |
hQCD_KS[i] ->SetStats(0); |
382 |
> |
hWJets_KS[i] ->SetStats(0); |
383 |
> |
|
384 |
> |
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
385 |
> |
hKSres_[i]->GetYaxis()->SetTitle("Entries"); |
386 |
> |
hKSvalues_[i]->GetXaxis()->SetTitle("iteration #"); |
387 |
> |
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values"); |
388 |
> |
hMC_[0][i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
389 |
> |
hMC_[0][i]->GetYaxis()->SetTitle("A.U."); |
390 |
> |
|
391 |
> |
|
392 |
> |
TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix+".pdf"; |
393 |
> |
TString cvsName1 = histoName[i]+"_QCD"; |
394 |
> |
if(useInv) cvsName1 = cvsName1 + "_" + invName; |
395 |
> |
cvs[cvsName1] = new TCanvas(cvsName1,"",600,700); |
396 |
> |
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral()); |
397 |
> |
hMC_[0][i] -> Scale(1./hMC_[0][i]->Integral()); |
398 |
> |
hMC_[1][i] -> Scale(1./hMC_[1][i]->Integral()); |
399 |
> |
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = " |
400 |
> |
<< hMC_[0][i] -> KolmogorovTest(hQCD_NEW[i],"") << endl; |
401 |
> |
hMC_[0][i]->DrawCopy("P"); |
402 |
> |
if (useInv) |
403 |
> |
hQCD_NEW[i]->DrawCopy("sameP"); |
404 |
> |
hMC_[1][i]->DrawCopy("sameP"); |
405 |
> |
TLegend *legend1 = new TLegend(0.7, 0.65, 0.9, 0.85); |
406 |
> |
legend1->AddEntry(hMC_[0][i], "QCD"); |
407 |
> |
if (useInv) |
408 |
> |
legend1->AddEntry(hQCD_NEW[i], "QCD - InvSel"); |
409 |
> |
legend1->AddEntry(hMC_[1][i], style.WJetsText); |
410 |
> |
legend1->Draw(); |
411 |
> |
legend1->SetFillColor(kWhite); |
412 |
> |
//latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
413 |
> |
//cvs[cvsName1]->SetLogy(); |
414 |
> |
cvs[cvsName1]->SaveAs(nameCanvas1); |
415 |
> |
|
416 |
> |
|
417 |
> |
TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix+".pdf"; |
418 |
> |
TString cvsName2 = histoName[i]+"_dataKS"; |
419 |
> |
if(useInv) cvsName2 = cvsName2 + "_" + invName; |
420 |
> |
cvs[cvsName2] = new TCanvas(cvsName2,"",600,700); |
421 |
> |
hst->Draw("hist"); |
422 |
> |
hKSres_[i]->Draw("sameP"); |
423 |
> |
hData_[i]->Draw("sameP"); |
424 |
> |
|
425 |
> |
TLegend *legend2 = new TLegend(0.7, 0.65, 0.9, 0.85); |
426 |
> |
legend2->AddEntry(hData_[i], "Data"); |
427 |
> |
legend2->AddEntry(hKSres_[i], "KS result"); |
428 |
> |
if (procTTbar > 0.) legend2->AddEntry(hMC_[2][i], style.TtbarText); |
429 |
> |
legend2->AddEntry(hWJets_KS[i], style.WJetsText); |
430 |
> |
if (procZJets > 0.) legend2->AddEntry(hMC_[3][i], style.DYZJetsText); |
431 |
> |
if (procSTtch > 0.) legend2->AddEntry(hMC_[4][i], style.ST_t_sText); |
432 |
> |
legend2->AddEntry(hQCD_KS[i], style.QCDText); |
433 |
> |
legend2->Draw(); |
434 |
> |
legend2->SetFillColor(kWhite); |
435 |
> |
//latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
436 |
> |
//cvs[cvsName2]->SetLogy(); |
437 |
> |
cvs[cvsName2]->SaveAs(nameCanvas2); |
438 |
|
|
439 |
+ |
} |
440 |
|
|
441 |
< |
TCanvas *canvas3 = new TCanvas("KStestValues", ""); |
442 |
< |
//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.1); |
443 |
< |
//hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-3,1.1); |
444 |
< |
hKSvalues_[0]->Draw(); |
445 |
< |
hKSvalues_[1]->SetLineColor(2); |
446 |
< |
hKSvalues_[1]->Draw("same"); |
447 |
< |
hKSvalues_[2]->SetLineColor(4); |
448 |
< |
hKSvalues_[2]->Draw("same"); |
449 |
< |
TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85); |
450 |
< |
legend3->AddEntry(hKSvalues_[0], "muon_pT"); |
451 |
< |
legend3->AddEntry(hKSvalues_[1], "MET"); |
452 |
< |
legend3->AddEntry(hKSvalues_[2], "W_mT"); |
453 |
< |
legend3->Draw(); |
454 |
< |
legend3->SetFillColor(kWhite); |
455 |
< |
latex->DrawLatex(0.22,0.91,"KS test values"); |
456 |
< |
canvas3->SetLogy(); |
457 |
< |
string nameCanvas3 = "KStestValues_newQCD.pdf"; |
458 |
< |
canvas3->SaveAs(nameCanvas3.c_str()); |
459 |
< |
|
441 |
> |
TString cvsName3 = "KStestValues"; |
442 |
> |
if(useInv) cvsName3 = cvsName3 + "_" + invName; |
443 |
> |
cvs[cvsName3] = new TCanvas(cvsName3,"",600,700); |
444 |
> |
if (!realData) hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.2); |
445 |
> |
hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-36,1.2); |
446 |
> |
hKSvalues_[0]->Draw(); |
447 |
> |
hKSvalues_[1]->Draw("same"); |
448 |
> |
hKSvalues_[2]->Draw("same"); |
449 |
> |
TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85); |
450 |
> |
legend3->AddEntry(hKSvalues_[0], "muon_pT"); |
451 |
> |
legend3->AddEntry(hKSvalues_[1], "MET"); |
452 |
> |
legend3->AddEntry(hKSvalues_[2], "W_mT"); |
453 |
> |
legend3->Draw(); |
454 |
> |
legend3->SetFillColor(kWhite); |
455 |
> |
//latex->DrawLatex(0.22,0.91,"KS test values"); |
456 |
> |
cvs[cvsName3]->SetLogy(); |
457 |
> |
TString nameCanvas3 = desDir+"KStestValues_newQCD"+suffix+".pdf"; |
458 |
> |
cvs[cvsName3]->SaveAs(nameCanvas3); |
459 |
> |
} |
460 |
|
} |