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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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|
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< |
//define the constants |
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< |
double const weight_QCD = 0.015292368; |
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double const weight_Wjets = 0.002665824; |
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double const weight_ttjets = 0.00009072; |
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Double_t const procQCD = 1.51; |
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Double_t const procWjets = 1.05; |
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Double_t const procttjets = 1.0; |
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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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}; |
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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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}; |
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|
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//function for doing KS test |
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< |
vector<testMC> doKStest(Double_t NmixS, Double_t Ns1, Double_t Ns2, TH1F* mixS, TH1F* s1, TH1F* s2) { |
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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 = (NmixS - Ns2*sf2)/Ns1; |
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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 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 -> Add(s1,s2,sf1,sf2); |
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//test->Scale(1./(1.*test->Integral())); |
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Double_t probability = test -> KolmogorovTest(mixS,"N"); |
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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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// << "; sfWjets = " << setw(6) << temp.scaleF_sample << endl; |
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delete test; |
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sf2 = sf2 + 0.001; |
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} while(sf1 > 0 && sf2 <= 4.0); |
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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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maxKSRes = vec.at(i); |
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} |
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} |
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cout << "for maximum: " << maxKSRes.prob |
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<< "\tsb = " << maxKSRes.scaleF_backg |
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<< "\tss = " << maxKSRes.scaleF_sample << endl; |
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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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//================================= |
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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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|
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ofstream outprint( "ikstest_results.txt" ); |
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ofstream outprint( "ikstest_results_20100901.txt" ); |
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//open the files with histograms |
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TFile *file[3]; |
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file[0] = TFile::Open("InclusiveMu15_Spring10_all.root"); |
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file[1] = TFile::Open("WJets_madgraph_Spring10_all.root"); |
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file[2] = TFile::Open("TTbarJets_madgraph_Spring10_all.root"); |
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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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|
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//define histograms and related parameters |
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< |
string histoN[3] = {"h_mu_pt","h_met0","h_mt0"}; |
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string hQCD_new[3] = {"h_mu_pt","h_met0","h_mt0"}; |
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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] = {10,30,30}; |
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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.,200.,200.}; |
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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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|
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TH1F* h_[9]; |
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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_"+histoN[i]; |
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< |
string nameNewHistoSFKS = "finalSF_"+histoN[i]; |
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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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|
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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(),"",300, 0.5, 300.5); |
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< |
//cout << TString("demo/"+hQCD_new[i]) << endl; |
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< |
hQCD_NEW[i] = (TH1F*)file[0]->Get(TString("demo/"+hQCD_new[i])); // corresponds to h_[i]; i=0..2 for now |
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hQCD_NEW[i] -> SetName((hQCD_new[i]).c_str()); |
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> |
hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize); |
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> |
|
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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 { |
| 144 |
> |
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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|
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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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|
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< |
for (int ihisto = 0; ihisto < 3; ihisto++) { |
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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 = histoN[ihisto]+sample[i]; |
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< |
//cout << TString("demo/"+histoN[ihisto]) << endl; |
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< |
h_[i*3+ihisto] = (TH1F*)file[i]->Get(TString("demo/"+histoN[ihisto])); |
| 160 |
< |
h_[i*3+ihisto] -> SetName(histo_name.c_str()); |
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> |
string histo_name = histoName[ihisto]+sample[n]; |
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> |
ostringstream ss; |
| 159 |
> |
ss << n; |
| 160 |
> |
h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone(); |
| 161 |
> |
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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|
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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++) { |
| 170 |
< |
mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets); |
| 171 |
< |
//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets); |
| 172 |
< |
//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl; |
| 170 |
> |
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; |
| 175 |
> |
} |
| 176 |
> |
else { |
| 177 |
> |
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i])); |
| 178 |
> |
mixh_[i] -> Add(htmp,1.); |
| 179 |
> |
} |
| 180 |
> |
mixh_[i]->DrawClone(); |
| 181 |
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} |
| 182 |
+ |
canvas0->SaveAs("Data_distributions.pdf"); |
| 183 |
|
|
| 184 |
|
//define the weight corrections for each sample |
| 185 |
< |
double corr_NevQCD = (h_[2]->GetEntries())*weight_QCD; |
| 186 |
< |
double corr_NevQCD_NEW = (hQCD_NEW[2]->GetEntries())*weight_QCD; |
| 187 |
< |
double corr_NevWjets = (h_[5]->GetEntries())*weight_Wjets; |
| 188 |
< |
double corr_Nevttjets = (h_[8]->GetEntries())*weight_ttjets; |
| 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 |
< |
outprint << "Events mix sample = " << corr_Nevmix << endl; |
| 193 |
< |
outprint << "Events QCD sample = " << corr_NevQCD << endl; |
| 194 |
< |
outprint << "Events Wjets sample = " << corr_NevWjets << endl; |
| 195 |
< |
outprint << "Events Nev revIso QCD sample = " << corr_NevQCD_NEW << endl; |
| 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 |
| 195 |
> |
outprint << "Events in Data = " << NevData << endl; |
| 196 |
> |
outprint << "Events QCD sample = " << corr_NevQCD << endl; |
| 197 |
> |
outprint << "Events Wjets sample = " << corr_NevWjets << endl; |
| 198 |
> |
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl; |
| 199 |
|
|
| 200 |
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//define the containers for chosen numbers (coressponding to the max KStest result) |
| 201 |
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testMC maxProb[3]; |
| 210 |
|
//do the KS test by varying the scale factors |
| 211 |
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for (int i = 0; i < 3; i++) { // 3 variables |
| 212 |
|
TH1F *data = (TH1F*)mixh_[i]->Clone(); |
| 213 |
< |
data -> SetName("dataClone"); |
| 213 |
> |
data -> SetName("dataClone"); |
| 214 |
|
//data -> Scale(1./data->Integral()); |
| 215 |
< |
vector<testMC> resultsKS = doKStest(corr_Nevmix, corr_NevQCD_NEW, corr_NevWjets, data, hQCD_NEW[i], h_[i+3]); |
| 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; |
| 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 = " << maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/corr_Nevmix << endl; |
| 227 |
< |
outprint << "\tpercent_S of Data = " << maxProb[i].scaleF_sample*corr_NevWjets*100/corr_Nevmix << endl; |
| 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; |
| 230 |
|
outprint << "---------------------------" << endl; |
| 231 |
|
|
| 232 |
|
//create the mixed samples with KS test results |
| 236 |
|
|
| 237 |
|
//fill a histogram with the results from the KS test for each variable |
| 238 |
|
for (int jiter = 0; jiter < resultsKS.size(); jiter++) { |
| 239 |
< |
//cout << "prob = " << resultsKS.at(jiter).prob << endl; |
| 239 |
> |
if (resultsKS.at(jiter).prob == 1.) |
| 240 |
> |
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl; |
| 241 |
|
hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob); |
| 242 |
|
} |
| 243 |
|
delete data; |
| 247 |
|
SFbackg = sumSFbackg/allKS; |
| 248 |
|
SFsample = sumSFsample/allKS; |
| 249 |
|
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl; |
| 250 |
< |
outprint << "\tcombined percent_B of Data = " << SFbackg*corr_NevQCD_NEW*100/corr_Nevmix << endl; |
| 251 |
< |
outprint << "\tcombined percent_S of Data = " << SFsample*corr_NevWjets*100/corr_Nevmix << endl; |
| 250 |
> |
outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl; |
| 251 |
> |
outprint << "\tcombined percent_B of Data = " |
| 252 |
> |
<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl; |
| 253 |
> |
outprint << "\tcombined percent_S of Data = " |
| 254 |
> |
<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl; |
| 255 |
|
outprint << "\n" << endl; |
| 256 |
|
outprint << "=================================" << endl; |
| 257 |
|
outprint << "\n" << endl; |
| 258 |
|
|
| 259 |
+ |
|
| 260 |
+ |
//================================= |
| 261 |
+ |
// Plots |
| 262 |
+ |
//================================= |
| 263 |
+ |
for (int i = 0; i < 3; i++) {// 3 variables |
| 264 |
+ |
hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample); |
| 265 |
+ |
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl; |
| 266 |
+ |
outprint << "Data->Integral() = " << mixh_[i]->Integral() << endl; |
| 267 |
+ |
|
| 268 |
+ |
mixh_[i]->Rebin(2); |
| 269 |
+ |
hQCD_NEW[i]->Rebin(2); |
| 270 |
+ |
h_[i]->Rebin(2); |
| 271 |
+ |
h_[i+3]->Rebin(2); |
| 272 |
+ |
hKSres_[i]->Rebin(2); |
| 273 |
+ |
//hKSvalues_[i]->Rebin(2); |
| 274 |
+ |
|
| 275 |
+ |
mixh_[i] ->SetLineColor(1); |
| 276 |
+ |
hQCD_NEW[i] ->SetLineColor(3); |
| 277 |
+ |
h_[i] ->SetLineColor(6); |
| 278 |
+ |
h_[i+3] ->SetLineColor(4); |
| 279 |
+ |
hKSres_[i] ->SetLineColor(2); |
| 280 |
+ |
hKSvalues_[i]->SetLineColor(i+1); |
| 281 |
+ |
|
| 282 |
+ |
mixh_[i] ->SetMarkerColor(1); |
| 283 |
+ |
hQCD_NEW[i] ->SetMarkerColor(3); |
| 284 |
+ |
h_[i] ->SetMarkerColor(6); |
| 285 |
+ |
h_[i+3] ->SetMarkerColor(4); |
| 286 |
+ |
hKSres_[i] ->SetMarkerColor(2); |
| 287 |
+ |
hKSvalues_[i]->SetMarkerColor(i+1); |
| 288 |
+ |
|
| 289 |
+ |
mixh_[i] ->SetMarkerStyle(24); |
| 290 |
+ |
hQCD_NEW[i] ->SetMarkerStyle(20); |
| 291 |
+ |
h_[i] ->SetMarkerStyle(20); |
| 292 |
+ |
h_[i+3] ->SetMarkerStyle(20); |
| 293 |
+ |
hKSres_[i] ->SetMarkerStyle(20); |
| 294 |
+ |
hKSvalues_[i]->SetMarkerStyle(20); |
| 295 |
+ |
|
| 296 |
+ |
mixh_[i] ->SetMarkerSize(1.4); |
| 297 |
+ |
hQCD_NEW[i] ->SetMarkerSize(1.1); |
| 298 |
+ |
h_[i] ->SetMarkerSize(1.1); |
| 299 |
+ |
h_[i+3] ->SetMarkerSize(1.1); |
| 300 |
+ |
hKSres_[i] ->SetMarkerSize(0.9); |
| 301 |
+ |
hKSvalues_[i]->SetMarkerSize(1.1); |
| 302 |
+ |
|
| 303 |
+ |
mixh_[i] ->SetStats(0); |
| 304 |
+ |
hQCD_NEW[i] ->SetStats(0); |
| 305 |
+ |
h_[i] ->SetStats(0); |
| 306 |
+ |
h_[i+3] ->SetStats(0); |
| 307 |
+ |
hKSres_[i] ->SetStats(0); |
| 308 |
+ |
hKSvalues_[i]->SetStats(0); |
| 309 |
+ |
|
| 310 |
+ |
mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
| 311 |
+ |
mixh_[i]->GetYaxis()->SetTitle("Entries"); |
| 312 |
+ |
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str()); |
| 313 |
+ |
hKSres_[i]->GetYaxis()->SetTitle("Entries"); |
| 314 |
+ |
hKSvalues_[i]->GetXaxis()->SetTitle("iteration #"); |
| 315 |
+ |
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values"); |
| 316 |
+ |
|
| 317 |
+ |
string nameCanvas1 = histoName[i]+"_QCD.pdf"; |
| 318 |
+ |
TCanvas *canvas1 = new TCanvas(nameCanvas1.c_str(), ""); |
| 319 |
+ |
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral()); |
| 320 |
+ |
h_[i] -> Scale(1./h_[i]->Integral()); |
| 321 |
+ |
h_[i+3] -> Scale(1./h_[i+3]->Integral()); |
| 322 |
+ |
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = " |
| 323 |
+ |
<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl; |
| 324 |
+ |
hQCD_NEW[i]->Draw("P"); |
| 325 |
+ |
h_[i]->Draw("sameP"); |
| 326 |
+ |
h_[i+3]->Draw("sameP"); |
| 327 |
+ |
TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85); |
| 328 |
+ |
legend1->AddEntry(h_[i], "default"); |
| 329 |
+ |
legend1->AddEntry(h_[i+3], "W+jets"); |
| 330 |
+ |
legend1->AddEntry(hQCD_NEW[i], "new"); |
| 331 |
+ |
legend1->Draw(); |
| 332 |
+ |
legend1->SetFillColor(kWhite); |
| 333 |
+ |
latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
| 334 |
+ |
canvas1->SetLogy(); |
| 335 |
+ |
canvas1->SaveAs(nameCanvas1.c_str()); |
| 336 |
+ |
|
| 337 |
+ |
string nameCanvas2 = histoName[i]+"_dataKS.pdf"; |
| 338 |
+ |
TCanvas *canvas2 = new TCanvas(nameCanvas2.c_str(), ""); |
| 339 |
+ |
hKSres_[i]->Draw("P"); |
| 340 |
+ |
mixh_[i]->Draw("sameP"); |
| 341 |
+ |
TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85); |
| 342 |
+ |
legend2->AddEntry(mixh_[i], "Data"); |
| 343 |
+ |
legend2->AddEntry(hKSres_[i], "KS result"); |
| 344 |
+ |
legend2->Draw(); |
| 345 |
+ |
legend2->SetFillColor(kWhite); |
| 346 |
+ |
latex->DrawLatex(0.22,0.91,histoName[i].c_str()); |
| 347 |
+ |
canvas2->SetLogy(); |
| 348 |
+ |
canvas2->SaveAs(nameCanvas2.c_str()); |
| 349 |
+ |
|
| 350 |
+ |
} |
| 351 |
+ |
|
| 352 |
+ |
|
| 353 |
+ |
TCanvas *canvas3 = new TCanvas("KStestValues", ""); |
| 354 |
+ |
//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.1); |
| 355 |
+ |
//hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-3,1.1); |
| 356 |
+ |
hKSvalues_[0]->Draw(); |
| 357 |
+ |
hKSvalues_[1]->SetLineColor(2); |
| 358 |
+ |
hKSvalues_[1]->Draw("same"); |
| 359 |
+ |
hKSvalues_[2]->SetLineColor(4); |
| 360 |
+ |
hKSvalues_[2]->Draw("same"); |
| 361 |
+ |
TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85); |
| 362 |
+ |
legend3->AddEntry(hKSvalues_[0], "muon_pT"); |
| 363 |
+ |
legend3->AddEntry(hKSvalues_[1], "MET"); |
| 364 |
+ |
legend3->AddEntry(hKSvalues_[2], "W_mT"); |
| 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 |
|
} |
