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Comparing UserCode/Jeng/scripts/ikstest.cc (file contents):
Revision 1.4 by jengbou, Fri Sep 3 05:05:19 2010 UTC vs.
Revision 1.9 by jengbou, Thu Sep 9 08:03:25 2010 UTC

#	Line 1 | Line 1
1		#include "ikstest.h"
2	+	#include "TopStyle/CMSTopStyle.cc"
3	+
4	+	//=================================
5	+	// Program to run IKS test
6	+	// * Input directories:
7	+	//   * Data: skimmed_Data_x.xxpb-1
8	+	//      => default selection : Data_<suffix>.root
9	+	//      => n-1 selection     : Data_<suffix>_<invName>.root
10	+	//   * MC  : skimmed_MC {QCD,WJets,TTbar...}
11	+	//      => default selection : QCD_<suffix>.root
12	+	//      => n-1 selection     : Data_<suffix>_<invName>.root
13	+	// * Upmost output dir specified by <desDir>
14	+	//   subdirectory created according to <useInv> and <realData>
15	+	//      => <desDir'><xyz><suffix>.pdf (.txt)
16	+	// * e.g. to do KS test on data with MC QCD shape in signal region:
17	+	//   useInv=false; realData=true
18	+	//=================================
19
20		using namespace std;
21
22	<	//define the constants: 2.79/pb
23	<	const double weight_[3]    = {0.0507928, //QCD
24	<	0.0088539, //WJets
25	<	0.000296   //TTbar
22	>	//define the constants: 2.88/pb
23	>	const Double_t weight_[5]  = {0.0524313, //QCD
24	>	0.0089567, //WJets
25	>	0.000306,  //TTbar
26	>	0.0080911, //ZJets
27	>	0.000114   //STtch
28		};
29		const Double_t procQCD     = 1.46;
30	<	const Double_t procWjets   = 1.03;
31	<	const Double_t procttjets  = 1.0;
30	>	const Double_t procWJets   = 1.03;
31	>	const Double_t procTTbar   = 1.;
32	>	const Double_t procZJets   = 1.;
33	>	const Double_t procSTtch   = 1.;
34
35	+	// Output directory
36	+	TString baseDir      = "Results_2.88pb-1_Incl3/";
37		// User defined parameters
38	<	bool useInv           = true; // whether to use n-1 QCD template
39	<	bool realData         = true;
38	>	bool realData        = true;
39	>	bool useInv          = true; // whether to use n-1 QCD template
40	>	bool useInvSelShape  = false; // whether to use shape from inverse selection for dataKS plots. Use when useInv is true
41	>	double yLowBound     = 1.e-10;
42	>	// Ntuples to use
43	>	int n_sels           = 5; // 5:Run all selections
44	>	TString suffixs[5]   = {"Incl3_Sel0","Incl3_Sel1","Incl3_Sel2","Incl3_Sel3","Incl3_Sel4"}; // Suffix of selection
45	>	TString invNames[2]  = {"RelIsogt0p1","D0gt0p02"};
46	>	TString invLabels[2] = {"RelIso > 0.1","d_{0} > 0.02"};
47	>	map<TString,TCanvas*> cvs; // map of usual histogram
48	>	bool debug_ = false;
49
50		//=================================
51		// Main program
52		//=================================
53		void ikstest() {
54	+	CMSTopStyle style;
55		gROOT->SetStyle("CMS");
56		TLatex *latex = new TLatex();
57		latex->SetNDC();
58	<	TString suffix = "Sel3";
59	<	TString desDir = "Results_2.79pb-1/";
60	<	//TString invName = "RelIsoge0p1";
61	<	//TString invName = "D0ge0p03";
62	<	TString invName = "METle15";
30	<	if (!useInv) {
31	<	if (!realData) desDir += "MC/";
32	<	else desDir += "Data/";
33	<	} else {
34	<	if (!realData) desDir += "MC_"+invName+"/";
35	<	else desDir += "Data_"+invName+"/";
36	<	}
37	<	struct stat stDir;
38	<	if (!stat(desDir,&stDir)){
39	<	cout << "Output folder exists! Continues? (enter to continue; 'q' for quit)" << endl;
40	<	char incmd;
41	<	cin.get(incmd);
42	<	if (incmd == 'q') return;
43	<	} else {
44	<	cout << "Creating folder : " << desDir << endl;
45	<	if (mkdir(desDir,0755) == -1){
58	>
59	>	struct stat stbDir;
60	>	if (stat(baseDir,&stbDir)){
61	>	cout << "Creating folder : " << baseDir << endl;
62	>	if (mkdir(baseDir,0755) == -1){
63		std::cerr << "Error creating folder" << endl;
64		return;
65		}
66		}
67
68	<	ofstream outprint(TString(desDir+"Results_"+suffix+".txt"));
69	<	//open the files with histograms
70	<	map<string,TFile*> mfile;
71	<	mfile["Data"] = TFile::Open("skimmed_Data_2.79pb-1/Data_RefSel3.root");
72	<	// n-1 cuts
73	<	if (useInv) {
74	<	if (realData)
75	<	mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.79pb-1/Data_Sel3_"+invName+".root"));
76	<	else
77	<	mfile["InvSel"] = TFile::Open(TString("skimmed_MC/QCD_Sel3_"+invName+".root"));
78	<	}
62	<
63	<	// RefSel MC
64	<	mfile["0"] = TFile::Open("skimmed_MC/QCD_RefSel3.root");
65	<	mfile["1"] = TFile::Open("skimmed_MC/WJets_RefSel3.root");
66	<	mfile["2"] = TFile::Open("skimmed_MC/TTbar_RefSel3.root");
67	<
68	<	//define histograms and related parameters
69	<	string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"};
70	<	string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"};
71	<	Int_t xbins[3] = {20,20,40};
72	<	Double_t xlow[3] = {0.,0.,0.};
73	<	Double_t xhigh[3] = {100.,100.,200.};
74	<	string sample[3] = {"QCD","Wjets","ttjets"};
75	<
76	<	TH1F* h_[9];
77	<	TH1F* mixh_[3];
78	<	TH1F* hQCD_NEW[3];
79	<	TH1F* hKSres_[3];
80	<	TH1F* hKSvalues_[3];
81	<
82	<	//load the histograms from the root files
83	<	for (int i = 0; i < 3; i++) {// 3 variables
84	<	//cout << "file[" << i << "] : " << endl;
85	<	string nameNewHisto = "mix_"+histoName[i];
86	<	string nameNewHistoSFKS = "finalSF_"+histoName[i];
87	<	string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[i];
88	<
89	<	mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]);
90	<	hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]);
91	<	hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
92	<
93	<	if (!useInv) {//use QCD MC sample
94	<	hQCD_NEW[i] = (TH1F*) mfile["0"]->Get(TString(histoName[i]))->Clone();
95	<	hQCD_NEW[i] -> Scale(weight_[0]);
96	<	hQCD_NEW[i] -> SetName((histoName[i]).c_str());
97	<	}
98	<	else {
99	<	hQCD_NEW[i] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[i]));
100	<	if (!realData) hQCD_NEW[i] -> Scale(weight_[0]);
101	<	hQCD_NEW[i] -> SetName((histoName[i]).c_str());
102	<	}
103	<
104	<	mixh_[i] -> Sumw2();
105	<	hKSres_[i] -> Sumw2();
106	<	hKSvalues_[i] -> Sumw2();
107	<	}
108	<
109	<	for (int n = 0; n < 3; ++n) {// 3 MC samples
110	<	for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
111	<	//cout << "Variable[" << ihisto << "]" << endl;
112	<	string histo_name = histoName[ihisto]+sample[n];
113	<	ostringstream ss;
114	<	ss << n;
115	<	h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone();
116	<	h_[n*3+ihisto] -> Scale(weight_[n]);
117	<	h_[n*3+ihisto] -> SetName(histo_name.c_str());
118	<	}
119	<	}
120	<
121	<	//create the mixed samples = "data"
122	<	TCanvas *canvas0 = new TCanvas("Data","Data distributions");
123	<	canvas0->Divide(3,1);
124	<	for (int i = 0; i < 3; i++) {
125	<	canvas0->cd(i+1);
126	<	if (!realData) {
127	<	mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets);
128	<	//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets);
129	<	//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl;
68	>	int size_ninv = (useInv ? 2 : 1);
69	>	for (int ninv = 0; ninv < size_ninv; ++ninv) {
70	>	TString invName = invNames[ninv];
71	>	TString desDir;
72	>	// create output directory
73	>	if (!useInv) {
74	>	if (!realData) desDir = baseDir + "MC/";
75	>	else desDir = baseDir + "Data_MC/";
76	>	} else {
77	>	if (!realData) desDir = baseDir + "MC_"+invName+"/";
78	>	else desDir = baseDir + "Data_"+invName+"/";
79		}
80	<	else {
81	<	TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]));
82	<	mixh_[i] -> Add(htmp,1.);
83	<	}
84	<	mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
85	<	mixh_[i]->GetYaxis()->SetTitle("Entries");
86	<	mixh_[i]->DrawClone();
87	<	}
88	<	canvas0->SaveAs(TString(desDir+"Data_distributions.pdf"));
89	<
90	<	//define the weight corrections for each sample
91	<	double NevData                = mixh_[2]->Integral();
143	<	double corr_NevQCD            = h_[2]->Integral();
144	<	double corr_NevQCD_NEW        = hQCD_NEW[2]->Integral();
145	<	double corr_NevWjets          = h_[5]->Integral();
146	<	double corr_Nevttjets         = h_[8]->Integral();
147	<	double corr_Nevmix            = procQCD*corr_NevQCD+procWjets*corr_NevWjets;
148	<	//double corr_Nevmix            = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets;
149	<	if (!realData)
150	<	outprint << "Events mix sample    = " << corr_Nevmix << endl;
151	<	else
152	<	outprint << "Events in Data       = " << NevData << endl;
153	<	outprint << "Events QCD sample    = " << corr_NevQCD << endl;
154	<	outprint << "Events Wjets sample  = " << corr_NevWjets << endl;
155	<	outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl;
156	<
157	<	//define the containers for chosen numbers (coressponding to the max KStest result)
158	<	testMC maxProb[3];
159	<
160	<	//define the scale factors calculated using information obtained from all parameters
161	<	Double_t SFbackg = 0.0;
162	<	Double_t sumSFbackg = 0.0;
163	<	Double_t SFsample = 0.0;
164	<	Double_t sumSFsample = 0.0;
165	<	Double_t allKS = 0.0;
166	<
167	<	//do the KS test by varying the scale factors
168	<	for (int i = 0; i < 3; i++) { // 3 variables
169	<	TH1F *data = (TH1F*)mixh_[i]->Clone();
170	<	data -> SetName("dataClone");
171	<	//data -> Scale(1./data->Integral());
172	<	vector<testMC> resultsKS = doKStest((realData ? NevData : corr_Nevmix),
173	<	(useInv ? corr_NevQCD_NEW : corr_NevQCD),
174	<	corr_NevWjets,
175	<	data, hQCD_NEW[i], h_[i+3]);
176	<	testMC tksmax = getMax(resultsKS);
177	<	maxProb[i] = tksmax;
178	<	outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
179	<	outprint << "\tmax Probability = " << maxProb[i].prob << endl;
180	<	outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
181	<	outprint << "\tproc_sample     = " << maxProb[i].scaleF_sample << endl;
182	<
183	<	outprint << "\n\tpercent_B of Data = "
184	<	<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
185	<	outprint << "\tpercent_S of Data = "
186	<	<< maxProb[i].scaleF_sample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
187	<	outprint << "---------------------------" << endl;
188	<
189	<	//create the mixed samples with KS test results
190	<	sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
191	<	sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
192	<	allKS += maxProb[i].prob;
193	<
194	<	//fill a histogram with the results from the KS test for each variable
195	<	for (int jiter = 0; jiter < resultsKS.size(); jiter++) {
196	<	if (resultsKS.at(jiter).prob == 1.)
197	<	cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl;
198	<	hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob);
80	>	struct stat stDir;
81	>	if (!stat(desDir,&stDir)){
82	>	cout << "Output folder exists! Continue to overwrite it? (enter to continue; 'q' for quit)" << endl;
83	>	char incmd;
84	>	cin.get(incmd);
85	>	if (incmd == 'q') return;
86	>	} else {
87	>	cout << "Creating folder : " << desDir << endl;
88	>	if (mkdir(desDir,0755) == -1){
89	>	std::cerr << "Error creating folder" << endl;
90	>	return;
91	>	}
92		}
93	<	delete data;
94	<	}
95	<
96	<	//calculate the final scale factors
97	<	SFbackg = sumSFbackg/allKS;
98	<	SFsample = sumSFsample/allKS;
99	<	outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
100	<	outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl;
101	<	outprint << "\tcombined percent_B of Data = "
102	<	<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
103	<	outprint << "\tcombined percent_S of Data = "
104	<	<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
105	<	outprint << "\n" << endl;
106	<	outprint << "=================================" << endl;
107	<	outprint << "\n" << endl;
108	<
109	<
110	<	//=================================
111	<	// Plots
112	<	//=================================
113	<	for (int i = 0; i < 3; i++) {// 3 variables
114	<	hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample);
115	<	outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
116	<	outprint << "Data->Integral()   = " << mixh_[i]->Integral() << endl;
117	<
118	<	mixh_[i]->Rebin(2);
119	<	hQCD_NEW[i]->Rebin(2);
120	<	h_[i]->Rebin(2);
121	<	h_[i+3]->Rebin(2);
122	<	hKSres_[i]->Rebin(2);
123	<	//hKSvalues_[i]->Rebin(2);
124	<
125	<	mixh_[i]     ->SetLineColor(1);
126	<	hQCD_NEW[i]  ->SetLineColor(2);
127	<	h_[i]        ->SetLineColor(4);
128	<	h_[i+3]      ->SetLineColor(3);
129	<	hKSres_[i]   ->SetLineColor(2);
130	<	hKSvalues_[i]->SetLineColor(i+1);
131	<
132	<	mixh_[i]     ->SetMarkerColor(1);
133	<	hQCD_NEW[i]  ->SetMarkerColor(2);
134	<	h_[i]        ->SetMarkerColor(4);
135	<	h_[i+3]      ->SetMarkerColor(3);
136	<	hKSres_[i]   ->SetMarkerColor(2);
137	<	hKSvalues_[i]->SetMarkerColor(i+1);
138	<
139	<	mixh_[i]     ->SetMarkerStyle(24);
140	<	hQCD_NEW[i]  ->SetMarkerStyle(20);
141	<	h_[i]        ->SetMarkerStyle(20);
142	<	h_[i+3]      ->SetMarkerStyle(20);
143	<	hKSres_[i]   ->SetMarkerStyle(20);
144	<	hKSvalues_[i]->SetMarkerStyle(20);
145	<
146	<	mixh_[i]     ->SetMarkerSize(1.4);
147	<	hQCD_NEW[i]  ->SetMarkerSize(1.1);
148	<	h_[i]        ->SetMarkerSize(1.1);
149	<	h_[i+3]      ->SetMarkerSize(1.1);
150	<	hKSres_[i]   ->SetMarkerSize(0.9);
151	<	hKSvalues_[i]->SetMarkerSize(1.1);
152	<
153	<	mixh_[i]     ->SetStats(0);
154	<	hQCD_NEW[i]  ->SetStats(0);
155	<	h_[i]        ->SetStats(0);
156	<	h_[i+3]      ->SetStats(0);
157	<	hKSres_[i]   ->SetStats(0);
158	<	hKSvalues_[i]->SetStats(0);
159	<
160	<	hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
161	<	hKSres_[i]->GetYaxis()->SetTitle("Entries");
162	<	hKSvalues_[i]->GetXaxis()->SetTitle("iteration #");
163	<	hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
164	<	h_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
165	<	h_[i]->GetYaxis()->SetTitle("A.U.");
166	<
167	<	TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix+".pdf";
168	<	TCanvas *canvas1 = new TCanvas(TString(histoName[i]+"_QCD"),"");
169	<	hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
170	<	h_[i] -> Scale(1./h_[i]->Integral());
171	<	h_[i+3] -> Scale(1./h_[i+3]->Integral());
172	<	outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
173	<	<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
174	<	h_[i]->Draw("P");
175	<	if (useInv)
176	<	hQCD_NEW[i]->Draw("sameP");
177	<	h_[i+3]->Draw("sameP");
178	<	TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85);
179	<	legend1->AddEntry(h_[i], "QCD");
180	<	if (useInv)
181	<	legend1->AddEntry(hQCD_NEW[i], "QCD - InvSel");
182	<	legend1->AddEntry(h_[i+3], "W+jets");
183	<	legend1->Draw();
184	<	legend1->SetFillColor(kWhite);
185	<	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
186	<	canvas1->SetLogy();
187	<	canvas1->SaveAs(nameCanvas1);
188	<
189	<	TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix+".pdf";
190	<	TCanvas *canvas2 = new TCanvas(TString(histoName[i]+"_dataKS"),"");
191	<	hKSres_[i]->Draw("P");
192	<	mixh_[i]->Draw("sameP");
193	<	TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85);
194	<	legend2->AddEntry(mixh_[i], "Data");
195	<	legend2->AddEntry(hKSres_[i], "KS result");
196	<	legend2->Draw();
197	<	legend2->SetFillColor(kWhite);
198	<	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
199	<	canvas2->SetLogy();
200	<	canvas2->SaveAs(nameCanvas2);
201	<
202	<	}
203	<
204	<
205	<	TCanvas *canvas3 = new TCanvas("KStestValues","");
206	<	//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.2);
207	<	hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-36,1.2);
208	<	hKSvalues_[0]->Draw();
209	<	hKSvalues_[1]->Draw("same");
210	<	hKSvalues_[2]->Draw("same");
211	<	TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85);
212	<	legend3->AddEntry(hKSvalues_[0], "muon_pT");
213	<	legend3->AddEntry(hKSvalues_[1], "MET");
214	<	legend3->AddEntry(hKSvalues_[2], "W_mT");
215	<	legend3->Draw();
216	<	legend3->SetFillColor(kWhite);
217	<	//latex->DrawLatex(0.22,0.91,"KS test values");
218	<	canvas3->SetLogy();
219	<	TString nameCanvas3 = desDir+"KStestValues_newQCD"+suffix+".pdf";
220	<	canvas3->SaveAs(nameCanvas3);
93	>
94	>	for (int nsel = 0; nsel < n_sels; ++nsel) {
95	>	TString suffix = suffixs[nsel];
96	>
97	>	ofstream outprint(TString(desDir+"Results_"+suffix+".txt"));
98	>	//open the files with histograms
99	>	map<string,TFile*> mfile;
100	>	mfile.clear();
101	>	mfile["Data"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+".root"));
102	>	// n-1 cuts
103	>	if (useInv) {
104	>	if (realData)
105	>	mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+"_"+invName+".root"));
106	>	else
107	>	mfile["InvSel"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+"_"+invName+".root"));
108	>	}
109	>	// RefSel MC
110	>	mfile["0"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+".root"));
111	>	mfile["1"] = TFile::Open(TString("skimmed_MC/v5/WJets_"+suffix+".root"));
112	>	mfile["2"] = TFile::Open(TString("skimmed_MC/v5/TTbar_"+suffix+".root"));
113	>	mfile["3"] = TFile::Open(TString("skimmed_MC/v5/ZJets_"+suffix+".root"));
114	>	mfile["4"] = TFile::Open(TString("skimmed_MC/v5/STtch_"+suffix+".root"));
115	>
116	>	//define histograms and related parameters
117	>	string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"};
118	>	string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"};
119	>	Int_t xbins[3] = {20,20,40};
120	>	Double_t xlow[3] = {0.,0.,0.};
121	>	Double_t xhigh[3] = {100.,100.,200.};
122	>	string sample[5] = {"QCD","WJets","TTbar","ZJets","STtch"};
123	>
124	>	TH1F* hMC_[5][3];   // MC histograms
125	>	TH1F* hData_[3];    // Data or mix MC
126	>	TH1F* hQCD_NEW[3];  // InvSel QCD shape
127	>	TH1F* hKSres_[3];
128	>	TH1F* hKSvalues_[3];
129	>	TH1F* hQCD_KS[3];
130	>	TH1F* hWJets_KS[3];
131	>
132	>	//load the histograms from the root files
133	>	for (int vi = 0; vi < 3; ++vi) {// 3 variables
134	>	//cout << "file[" << vi << "] : " << endl;
135	>	string nameNewHisto = "mix_"+histoName[vi];
136	>	string nameNewHistoSFKS = "finalSF_"+histoName[vi];
137	>	string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[vi];
138	>
139	>	hData_[vi] = new TH1F(nameNewHisto.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]);
140	>	hKSres_[vi] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]);
141	>	hKSvalues_[vi] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
142	>
143	>	ostringstream ssc;
144	>	ssc << vi;
145	>
146	>	if (!useInv) {//use QCD MC sample
147	>	hQCD_NEW[vi] = (TH1F*) mfile["0"]->Get(TString(histoName[vi]))->Clone();
148	>	hQCD_NEW[vi] -> Scale(weight_[0]);
149	>	hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+"_"+ssc.str()));
150	>	}
151	>	else {
152	>	hQCD_NEW[vi] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[vi]))->Clone();
153	>	if (!realData) hQCD_NEW[vi] -> Scale(weight_[0]);
154	>	hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+"_"+ssc.str()));
155	>	}
156	>	if (debug_) cout << "hQCD_NEW[" << vi << "] @ " << hQCD_NEW[vi] << endl;
157	>
158	>	hData_[vi] -> Sumw2();
159	>	hKSres_[vi] -> Sumw2();
160	>	hKSvalues_[vi] -> Sumw2();
161	>	}
162	>
163	>	for (int n = 0; n < 5; ++n) {// 3 MC samples
164	>	for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
165	>	//cout << "Variable[" << ihisto << "]" << endl;
166	>	string histo_name = histoName[ihisto]+sample[n];
167	>	ostringstream ss;
168	>	ss << n;
169	>	hMC_[n][ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone();
170	>	if (debug_) {
171	>	cout << "File[" << n << "] @" << mfile[ss.str()]
172	>	<< "; histo[" << ihisto << "] @ " <<  mfile[ss.str()]->Get(TString(histoName[ihisto]))
173	>	<<"; hMC_[" << n << "][" << ihisto << "] raw evts = "
174	>	<< setw(12) << hMC_[n][ihisto]->Integral();
175	>	}
176	>	hMC_[n][ihisto] -> Scale(weight_[n]);
177	>	hMC_[n][ihisto] -> SetName(TString("MC_"+sample[n]+"_"+histoName[ihisto]));
178	>	if (debug_) cout << "; weighted num evts = " << setw(8) << hMC_[n][ihisto]->Integral() << endl;
179	>	}
180	>	}
181	>
182	>	//create the mixed samples = "data"
183	>	TString cvsName0 = "Data";
184	>	if (useInv) {
185	>	cvsName0 += "_";
186	>	cvsName0 += invName;
187	>	}
188	>	cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",600,700);
189	>	cvs[cvsName0]->Divide(3,1);
190	>	for (int i = 0; i < 3; i++) {
191	>	cvs[cvsName0]->cd(i+1);
192	>	if (!realData) {
193	>	hData_[i] -> Add(hMC_[0][i],hMC_[1][i], procQCD,procWJets);
194	>	hData_[i] -> Add(hMC_[2][i], procTTbar);
195	>	hData_[i] -> Add(hMC_[3][i], procZJets);
196	>	hData_[i] -> Add(hMC_[4][i], procSTtch);
197	>	}
198	>	else {
199	>	TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]));
200	>	hData_[i] -> Add(htmp,1.);
201	>	}
202	>	hData_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
203	>	hData_[i]->GetYaxis()->SetTitle("Events");
204	>	if (i == 0) // mu pT plot
205	>	hData_[0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
206	>	hData_[i]->DrawClone("hist");
207	>	}
208	>	cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions.pdf"));
209	>	cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions.png"));
210	>
211	>	//Calculate num of events for each sample
212	>	vector<double> vNev_;
213	>
214	>	double NevData                = hData_[2]->Integral();
215	>	double corr_NevQCD          = hMC_[0][2]->Integral();
216	>	double corr_NevQCD_NEW        = hQCD_NEW[2]->Integral();
217	>	double corr_NevWJets        = hMC_[1][2]->Integral();
218	>	double corr_NevTTbar        = hMC_[2][2]->Integral();
219	>	double corr_NevZJets        = hMC_[3][2]->Integral();
220	>	double corr_NevSTtch        = hMC_[4][2]->Integral();
221	>	cout << "corr_NevSTtch = " << corr_NevSTtch << endl;
222	>	//     double corr_Nevmix            = procQCD*corr_NevQCD + procWJets*corr_NevWJets
223	>	//       + procTTbar*corr_NevTTbar+procZJets*corr_NevZJets + procSTtch*corr_NevSTtch;//should equal NevData for MC
224	>	// store nev in a vector
225	>	vNev_.push_back(NevData);
226	>	vNev_.push_back((useInv ? corr_NevQCD_NEW : corr_NevQCD));
227	>	vNev_.push_back(corr_NevWJets);
228	>
229	>	// Non WJets (use MC expected values):
230	>	if (procTTbar > 0.) vNev_.push_back(corr_NevTTbar*procTTbar);
231	>	if (procZJets > 0.) vNev_.push_back(corr_NevZJets*procZJets);
232	>	if (procSTtch > 0.) vNev_.push_back(corr_NevSTtch*procSTtch);
233	>
234	>	outprint << "Events in Data       = " << NevData << endl;
235	>	outprint << "Events QCD sample    = " << corr_NevQCD << endl;
236	>	outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl;
237	>	outprint << "---------------------------" << endl;
238	>	outprint << "Events WJets sample  = " << corr_NevWJets << endl;
239	>	outprint << "Events TTbar sample  = " << corr_NevTTbar << endl;
240	>	outprint << "Events ZJets sample  = " << corr_NevZJets << endl;
241	>	outprint << "Events STtch sample  = " << corr_NevSTtch << endl;
242	>
243	>	//define the containers for chosen numbers (coressponding to the max KStest result)
244	>	testMC maxProb[3];
245	>
246	>	//define the scale factors calculated using information obtained from all parameters
247	>	Double_t SFbackg = 0.0;
248	>	Double_t sumSFbackg = 0.0;
249	>	Double_t SFsample = 0.0;
250	>	Double_t sumSFsample = 0.0;
251	>	Double_t allKS = 0.0;
252	>
253	>	//do the KS test by varying the scale factors
254	>	for (int i = 0; i < 3; i++) { // 3 variables
255	>	TH1F *data = (TH1F*)hData_[i]->Clone("data");
256	>	data -> SetName("dataClone");
257	>	map<string,TH1F*> mHisto_;
258	>	mHisto_.clear();
259	>	mHisto_["Data"]  = data;
260	>	mHisto_["QCD"]   = (useInv ? (TH1F*)hQCD_NEW[i]->Clone() : (TH1F*)hMC_[0][i]->Clone());
261	>	mHisto_["WJets"] = (TH1F*)hMC_[1][i]->Clone();//WJets
262	>	if (procTTbar > 0.) mHisto_["TTbar"] = (TH1F*)hMC_[2][i]->Clone();//TTbar
263	>	if (procZJets > 0.) mHisto_["ZJets"] = (TH1F*)hMC_[3][i]->Clone();//ZJets
264	>	if (procSTtch > 0.) mHisto_["STtch"] = (TH1F*)hMC_[4][i]->Clone();//STtch
265	>
266	>	//data -> Scale(1./data->Integral());
267	>	vector<testMC> resultsKS = doKStest(vNev_,mHisto_);
268	>	testMC tksmax = getMax(resultsKS);
269	>	maxProb[i] = tksmax;
270	>	outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
271	>	outprint << "\tmax Probability = " << maxProb[i].prob << endl;
272	>	outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
273	>	outprint << "\tproc_sample     = " << maxProb[i].scaleF_sample << endl;
274	>
275	>	outprint << "\n\tpercent_B of Data = "
276	>	<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/NevData << endl;
277	>	outprint << "\tpercent_S of Data = "
278	>	<< maxProb[i].scaleF_sample*corr_NevWJets*100/NevData << endl;
279	>	outprint << "---------------------------" << endl;
280	>
281	>	//create the mixed samples with KS test results
282	>	sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
283	>	sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
284	>	allKS += maxProb[i].prob;
285	>
286	>	//fill a histogram with the results from the KS test for each variable
287	>	for (unsigned int jiter = 0; jiter < resultsKS.size(); jiter++) {
288	>	if (resultsKS.at(jiter).prob == 1.)
289	>	cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl;
290	>	hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob);
291	>	}
292	>	delete data;
293	>	}
294	>
295	>	//calculate the final scale factors
296	>	SFbackg = sumSFbackg/allKS;
297	>	SFsample = sumSFsample/allKS;
298	>	double SF_QCD = SFbackg*corr_NevQCD_NEW/corr_NevQCD;
299	>	outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
300	>	outprint << "==> Scale Factor for QCD MC = " << SF_QCD << endl;
301	>	outprint << "\tcombined percent_B of Data = "
302	>	<< SFbackg*corr_NevQCD_NEW*100/NevData << endl;
303	>	outprint << "\tcombined percent_S of Data = "
304	>	<< SFsample*corr_NevWJets*100/NevData << endl;
305	>	outprint << "\n" << endl;
306	>	outprint << "=================================" << endl;
307	>	outprint << "\n" << endl;
308	>
309	>
310	>	//=================================
311	>	// Plots
312	>	//=================================
313	>	for (int i = 0; i < 3; i++) {// 3 variables
314	>	gStyle->SetErrorX(0.);
315	>	hKSres_[i] -> Add((TH1F*)hQCD_NEW[i]->Clone(),(TH1F*)hMC_[1][i]->Clone(),SFbackg,SFsample);
316	>	hKSres_[i] -> Add((TH1F*)hMC_[2][i]->Clone(),procTTbar);
317	>	hKSres_[i] -> Add((TH1F*)hMC_[3][i]->Clone(),procZJets);
318	>	hKSres_[i] -> Add((TH1F*)hMC_[4][i]->Clone(),procSTtch);
319	>
320	>	outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
321	>	outprint << "Data->Integral()   = " << hData_[i]->Integral() << endl;
322	>
323	>	hData_[i]->Rebin(2);
324	>	hQCD_NEW[i]->Rebin(2);
325	>	hMC_[0][i]->Rebin(2);
326	>	hMC_[1][i]->Rebin(2);
327	>	hKSres_[i]->Rebin(2);
328	>	//hKSvalues_[i]->Rebin(2);
329	>
330	>	// Stack Wjets and QCD after scaled by KS factors
331	>	if (useInv && useInvSelShape) {
332	>	hQCD_KS[i] = (TH1F*) hQCD_NEW[i]->Clone();
333	>	hQCD_KS[i]->Scale(SFbackg);
334	>	}
335	>	else {// Use MC QCD
336	>	hQCD_KS[i] = (TH1F*) hMC_[0][i]->Clone();
337	>	hQCD_KS[i]->Scale(SF_QCD);
338	>	}
339	>	hQCD_KS[i]->SetLineColor(style.QCDColor);
340	>	hQCD_KS[i]->SetFillColor(style.QCDColor);
341	>	hQCD_KS[i]->SetFillStyle(style.QCDFill);
342	>
343	>	hWJets_KS[i] = (TH1F*) hMC_[1][i]->Clone();
344	>	hWJets_KS[i]->Scale(SFsample);
345	>	hWJets_KS[i]->SetLineColor(style.WJetsColor);
346	>	hWJets_KS[i]->SetFillColor(style.WJetsColor);
347	>	hWJets_KS[i]->SetFillStyle(style.WJetsFill);
348	>
349	>	if (procTTbar > 0.) {
350	>	hMC_[2][i]->Rebin(2);
351	>	hMC_[2][i]->SetLineColor(style.TtbarColor);
352	>	hMC_[2][i]->SetFillColor(style.TtbarColor);
353	>	hMC_[2][i]->SetFillStyle(style.TtbarFill);
354	>	}
355	>	if (procZJets > 0.) {
356	>	hMC_[3][i]->Rebin(2);
357	>	hMC_[3][i]->SetLineColor(style.DYZJetsColor);
358	>	hMC_[3][i]->SetFillColor(style.DYZJetsColor);
359	>	hMC_[3][i]->SetFillStyle(style.DYZJetsFill);
360	>	}
361	>	if (procSTtch > 0.) {
362	>	hMC_[4][i]->Rebin(2);
363	>	hMC_[4][i]->SetLineColor(style.ST_tColor);
364	>	hMC_[4][i]->SetFillColor(style.ST_tColor);
365	>	hMC_[4][i]->SetFillStyle(style.ST_tFill);
366	>	}
367	>
368	>	THStack *hst = new THStack(invName,invName);
369	>	hst->Add((TH1F*)hQCD_KS[i]->Clone());
370	>	if (procSTtch > 0) hst->Add((TH1F*)hMC_[4][i]->Clone());
371	>	if (procZJets > 0) hst->Add((TH1F*)hMC_[3][i]->Clone());
372	>	hst->Add((TH1F*)hWJets_KS[i]->Clone());
373	>	if (procTTbar > 0) hst->Add((TH1F*)hMC_[2][i]->Clone());
374	>
375	>	// Set plotting parameters
376	>	hData_[i]    ->SetLineColor(1);
377	>	hQCD_NEW[i]  ->SetLineColor(2);
378	>	hMC_[0][i]   ->SetLineColor(4);
379	>	hMC_[1][i]   ->SetLineColor(3);
380	>	hKSres_[i]   ->SetLineColor(9);
381	>	hKSvalues_[i]->SetLineColor(i+1);
382	>
383	>	hData_[i]    ->SetMarkerColor(1);
384	>	hQCD_NEW[i]  ->SetMarkerColor(2);
385	>	hMC_[0][i]   ->SetMarkerColor(4);
386	>	hMC_[1][i]   ->SetMarkerColor(3);
387	>	hKSres_[i]   ->SetMarkerColor(9);
388	>	hKSvalues_[i]->SetMarkerColor(i+1);
389	>
390	>	hData_[i]    ->SetMarkerStyle((realData ? 20 : 24));
391	>	hQCD_NEW[i]  ->SetMarkerStyle(20);
392	>	hMC_[0][i]   ->SetMarkerStyle(20);
393	>	hMC_[1][i]   ->SetMarkerStyle(20);
394	>	hKSres_[i]   ->SetMarkerStyle(20);
395	>	hKSvalues_[i]->SetMarkerStyle(20);
396	>
397	>	hData_[i]    ->SetMarkerSize((realData ? 1.2 : 1.4));
398	>	hQCD_NEW[i]  ->SetMarkerSize(1.1);
399	>	hMC_[0][i]   ->SetMarkerSize(1.1);
400	>	hMC_[1][i]   ->SetMarkerSize(1.1);
401	>	hKSres_[i]   ->SetMarkerSize(1.18);
402	>	hKSvalues_[i]->SetMarkerSize(1.1);
403	>
404	>	hData_[i]    ->SetStats(0);
405	>	hQCD_NEW[i]  ->SetStats(0);
406	>	hMC_[0][i]   ->SetStats(0);
407	>	hMC_[1][i]   ->SetStats(0);
408	>	hKSres_[i]   ->SetStats(0);
409	>	hKSvalues_[i]->SetStats(0);
410	>	hQCD_KS[i]   ->SetStats(0);
411	>	hWJets_KS[i] ->SetStats(0);
412	>
413	>	hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
414	>	hKSres_[i]->GetYaxis()->SetTitle("Events");
415	>	hKSvalues_[i]->GetXaxis()->SetTitle("#lambda_{wjets}");
416	>	hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
417	>	hMC_[0][i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
418	>	hMC_[0][i]->GetYaxis()->SetTitle("A.U.");
419	>
420	>	TLatex* text1 = new TLatex(1., 1., "2.88 pb^{-1} at #sqrt{s} = 7 TeV");
421	>	text1->SetNDC();
422	>	text1->SetTextAlign(13);
423	>	text1->SetX(0.63);
424	>	text1->SetY(0.91);
425	>	text1->SetTextFont(42);
426	>	text1->SetTextSize(0.03);
427	>	text1->SetTextSizePixels(20);// dflt=28
428	>
429	>	// QCD shape comparison
430	>	TString cvsName1 = histoName[i]+"_QCD";
431	>	double val_Max_ = 0.;
432	>
433	>	if(useInv) cvsName1 = cvsName1 + "_" + invName;
434	>	cvs[cvsName1] = new TCanvas(cvsName1,"",600,700);
435	>	hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
436	>	hMC_[0][i] -> Scale(1./hMC_[0][i]->Integral());
437	>	hMC_[1][i] -> Scale(1./hMC_[1][i]->Integral());
438	>	outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
439	>	<< hMC_[0][i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
440	>
441	>	hMC_[0][i]->GetXaxis()->SetLabelFont(42);
442	>	hMC_[0][i]->GetXaxis()->SetLabelSize(0.04);
443	>	hMC_[0][i]->GetXaxis()->SetTitleFont(42);
444	>	hMC_[0][i]->GetXaxis()->SetTitleSize(0.05);
445	>	hMC_[0][i]->GetXaxis()->SetTitleOffset(1.2);
446	>	hMC_[0][i]->GetYaxis()->SetLabelFont(42);
447	>	hMC_[0][i]->GetYaxis()->SetLabelSize(0.04);
448	>	hMC_[0][i]->GetYaxis()->SetTitleFont(42);
449	>	hMC_[0][i]->GetYaxis()->SetTitleSize(0.05);
450	>	hMC_[0][i]->GetYaxis()->SetTitleOffset(1.3);
451	>	// Get better Y range
452	>	Int_t nbMax = hMC_[0][i]->GetMaximumBin();
453	>	double tmpval = hMC_[0][i]->GetBinContent(nbMax) + hMC_[0][i]->GetBinError(nbMax);
454	>	val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
455	>
456	>	if (useInv) {
457	>	nbMax = hQCD_NEW[i]->GetMaximumBin();
458	>	tmpval = hQCD_NEW[i]->GetBinContent(nbMax) + hQCD_NEW[i]->GetBinError(nbMax);
459	>	val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
460	>	}
461	>	hMC_[0][i]->GetYaxis()->SetRangeUser(0.,(val_Max_ > 1. ? 1. : val_Max_));
462	>	if (i == 0) // mu pT plot
463	>	hMC_[0][0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
464	>	hMC_[0][i]->DrawCopy("histe");
465	>
466	>	if (useInv)
467	>	hQCD_NEW[i]->DrawCopy("samehiste");
468	>
469	>	hMC_[1][i]->DrawCopy("samehiste");
470	>	TLegend *legend1 = new TLegend(0.6, 0.65, 0.92, 0.9);
471	>	legend1->SetFillColor(0);
472	>	legend1->SetFillStyle(0);
473	>
474	>	legend1->AddEntry(hMC_[0][i], "QCD");
475	>	if (useInv)
476	>	if (!realData) legend1->AddEntry(hQCD_NEW[i], TString("QCD (" + invLabels[ninv] + ")"));
477	>	else legend1->AddEntry(hQCD_NEW[i], TString("Data (" + invLabels[ninv]) + ")");
478	>
479	>	legend1->AddEntry(hMC_[1][i], style.WJetsText);
480	>	legend1->Draw();
481	>	legend1->SetFillColor(kWhite);
482	>	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
483	>	//cvs[cvsName1]->SetLogy();
484	>	TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix;
485	>	cvs[cvsName1]->SaveAs(nameCanvas1+".pdf");
486	>	cvs[cvsName1]->SaveAs(nameCanvas1+".png");
487	>
488	>
489	>	// KS results vs. (pseudo) Data
490	>	TString cvsName2 = histoName[i]+"_dataKS";
491	>	if(useInv) cvsName2 = cvsName2 + "_" + invName;
492	>	cvs[cvsName2] = new TCanvas(cvsName2,"",600,700);
493	>
494	>	// Get better Y range
495	>	val_Max_ = 0.;
496	>	nbMax = hData_[i]->GetMaximumBin();
497	>	tmpval = hData_[i]->GetBinContent(nbMax) + hData_[i]->GetBinError(nbMax);
498	>	val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
499	>	nbMax = hKSres_[i]->GetMaximumBin();
500	>	tmpval = hKSres_[i]->GetBinContent(nbMax) + hKSres_[i]->GetBinError(nbMax);
501	>	val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
502	>
503	>	hData_[i]->GetYaxis()->SetRangeUser(0.,val_Max_);
504	>
505	>	if (i == 0) // mu pT plot
506	>	hData_[0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
507	>	hData_[i]->Draw("P");
508	>	hst->Draw("samehist");
509	>	hKSres_[i]->Draw("samehiste");
510	>	hData_[i]->Draw("sameP");
511	>	TLegend *legend2 = new TLegend(0.7, 0.64, 0.9, 0.88);
512	>	legend2->AddEntry(hData_[i], (realData ? "Data" : "Pseudo Data"),"p");
513	>	legend2->AddEntry(hKSres_[i], "KS result");
514	>	if (procTTbar > 0.) legend2->AddEntry(hMC_[2][i], style.TtbarText);
515	>	legend2->AddEntry(hWJets_KS[i], style.WJetsText);
516	>	if (procZJets > 0.) legend2->AddEntry(hMC_[3][i], style.DYZJetsText);
517	>	if (procSTtch > 0.) legend2->AddEntry(hMC_[4][i], style.ST_tText);
518	>	if (realData)
519	>	legend2->AddEntry(hQCD_KS[i], ((!useInvSelShape || !useInv) ? style.QCDText :
520	>	TString("#splitline{Data (" + invLabels[ninv] + ",}{Scaled by IKS)}")));
521	>	else
522	>	legend2->AddEntry(hQCD_KS[i], ((!useInvSelShape || !useInv) ? style.QCDText :
523	>	TString("QCD (" + invLabels[ninv] + ")")));
524	>	legend2->SetFillColor(0);
525	>	legend2->SetFillStyle(0);
526	>	legend2->Draw();
527	>	legend2->SetFillColor(kWhite);
528	>	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
529	>	//cvs[cvsName2]->SetLogy();
530	>	text1->Draw();
531	>	TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix;
532	>	cvs[cvsName2]->SaveAs(nameCanvas2+".pdf");
533	>	cvs[cvsName2]->SaveAs(nameCanvas2+".png");
534	>
535	>	}
536	>
537	>	// KS fit results
538	>	TString cvsName3 = "KStestValues";
539	>	if(useInv) cvsName3 = cvsName3 + "_" + invName;
540	>	cvs[cvsName3] = new TCanvas(cvsName3,"",600,700);
541	>	// Zoom-in
542	>	Int_t nbins_ = hKSvalues_[0]->GetNbinsX();;
543	>	Int_t nbMax_ = 1;
544	>	Int_t nbMin_ = nbins_;
545	>	double val_Min_ = 1.;
546	>	for (int i = 0; i < 3; ++i) {
547	>	Int_t tmp = findFirstBinAbove(yLowBound, hKSvalues_[i]);
548	>	val_Min_ = (hKSvalues_[i]->GetBinContent(tmp) < 0.8*val_Min_ ?
549	>	hKSvalues_[i]->GetBinContent(tmp) : 0.8*val_Min_);
550	>	nbMin_ = (nbMin_ < tmp ? nbMin_ : tmp);
551	>	tmp = findLastBinAbove(0., hKSvalues_[i]);
552	>	nbMax_ = (nbMax_ > tmp ? nbMax_ : tmp);
553	>	}
554	>	nbMin_ -= (0.1/stepsize);
555	>	nbMax_ += (0.1/stepsize);
556	>
557	>	hKSvalues_[0]->GetXaxis()->SetRange(nbMin_,nbMax_);
558	>	hKSvalues_[0]->GetYaxis()->SetRangeUser((1e-36 < val_Min_ ? val_Min_ : 1e-36),1.1);
559	>	hKSvalues_[0]->Draw();
560	>	hKSvalues_[1]->Draw("same");
561	>	hKSvalues_[2]->Draw("same");
562	>	TLegend *legend3 = new TLegend(0.2, 0.75, 0.38, 0.93);
563	>	legend3->AddEntry(hKSvalues_[0], "muon_pT");
564	>	legend3->AddEntry(hKSvalues_[1], "MET");
565	>	legend3->AddEntry(hKSvalues_[2], "W_mT");
566	>	legend3->SetFillColor(0);
567	>	legend3->SetFillStyle(0);
568	>	legend3->Draw();
569	>	legend3->SetFillColor(kWhite);
570	>	//latex->DrawLatex(0.22,0.91,"KS test values");
571	>	cvs[cvsName3]->SetLogy();
572	>	TString nameCanvas3 = desDir+"KStestValues_newQCD_"+suffix;
573	>	cvs[cvsName3]->SaveAs(nameCanvas3+".pdf");
574	>	cvs[cvsName3]->SaveAs(nameCanvas3+".png");
575
576	+	} //End of nsel loop
577	+	} // End of ninv loop
578		}

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