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Comparing UserCode/Jeng/scripts/ikstest.cc (file contents):
Revision 1.1 by jengbou, Tue Aug 31 16:01:45 2010 UTC vs.
Revision 1.6 by jengbou, Tue Sep 7 05:18:46 2010 UTC

#	Line 1 | Line 1
1	<	#include <vector>
2	<	#include <TFile.h>
3	<	#include <TH1.h>
4	<	#include <TH2.h>
5	<	#include <TLatex.h>
6	<	#include <TCanvas.h>
7	<	#include <TMath.h>
8	<	#include <TLegend.h>
9	<	#include <TObject.h>
10	<	#include <iostream>
11	<	#include <fstream>
12	<	#include <iomanip>
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
23	<	double const weight_QCD = 0.015292368;
24	<	double const weight_Wjets = 0.002665824;
25	<	double const weight_ttjets = 0.00009072;
20	<	Double_t const procQCD = 1.51;
21	<	Double_t const procWjets = 1.05;
22	<	Double_t const procttjets = 1.0;
23	<
24	<	struct testMC {
25	<	testMC(Double_t p = 0., Double_t sb = 0., Double_t ss = 0.){prob=p; scaleF_backg = sb; scaleF_sample = ss;}
26	<	Double_t prob;
27	<	Double_t scaleF_backg;
28	<	Double_t scaleF_sample;
22	>	//define the constants: 2.88/pb
23	>	const double weight_[3]    = {0.0524313, //QCD
24	>	0.0091395, //WJets
25	>	0.000306   //TTbar
26		};
27	<
28	<	//function for doing KS test
29	<	vector<testMC> doKStest(Double_t NmixS, Double_t Ns1, Double_t Ns2, TH1F* mixS, TH1F* s1, TH1F* s2) {
30	<	vector<testMC> output;
31	<	//define the scale factors
32	<	Double_t sf1 = 0.0; // QCD
33	<	Double_t sf2 = 0.0; // Wjets
34	<	//KS test
35	<	do {
36	<	sf1 = (NmixS - Ns2*sf2)/Ns1;
37	<	if (sf1 < 0) break;
38	<	//cout << "..........sf1 = " << sf1 << endl;
39	<	int nbins = mixS->GetNbinsX();
40	<	double xmin = mixS->GetXaxis()->GetBinLowEdge(1);
41	<	double xmax = mixS->GetXaxis()->GetBinUpEdge(nbins);
42	<	TH1F *test = new TH1F("test", "", nbins, xmin, xmax);
43	<	test -> Sumw2();
47	<	test -> Add(s1,s2,sf1,sf2);
48	<	//test->Scale(1./(1.*test->Integral()));
49	<	Double_t probability = test -> KolmogorovTest(mixS,"N");
50	<	testMC temp = testMC(probability,sf1,sf2);
51	<	output.push_back(temp);
52	<	//     cout << "probability = " << setw(15) << temp.prob
53	<	//       << "; sfQCD = "     << setw(10) << temp.scaleF_backg
54	<	//       << "; sfWjets = "   << setw(6)  << temp.scaleF_sample << endl;
55	<	delete test;
56	<	sf2 = sf2 + 0.001;
57	<	} while(sf1 > 0 && sf2 <= 4.0);
58	<	return output;
59	<	}
60	<
61	<	//get the maximum KS test result
62	<	testMC getMax(vector<testMC> vec) {
63	<	testMC maxKSRes;
64	<	Double_t maximum = 0.0;
65	<	for (size_t i = 0; i < vec.size(); i++) {
66	<	if (maximum < vec.at(i).prob)  {
67	<	maximum = vec.at(i).prob;
68	<	maxKSRes = vec.at(i);
69	<	}
70	<	}
71	<	cout << "for maximum: " << maxKSRes.prob
72	<	<< "\tsb = " << maxKSRes.scaleF_backg
73	<	<< "\tss = " << maxKSRes.scaleF_sample << endl;
74	<	return maxKSRes;
75	<	}
76	<
27	>	const Double_t procQCD     = 1.46;
28	>	const Double_t procWjets   = 1.03;
29	>	const Double_t procttjets  = 1.0;
30	>
31	>	// Output directory
32	>	TString baseDir = "Results_2.88pb-1/";
33	>	// User defined parameters
34	>	bool useInv    = true; // whether to use n-1 QCD template
35	>	bool realData  = false;
36	>	// Ntuples to use
37	>	TString suffix = "Sel4"; // Suffix of selection
38	>	TString invNames[2] = {"RelIsogt0p1","D0gt0p02"};
39	>	map<TString,TCanvas*> cvs; // map of usual histogram
40	>
41	>	//=================================
42	>	// Main program
43	>	//=================================
44		void ikstest() {
45	<	//Style();
45	>	CMSTopStyle style;
46	>	gROOT->SetStyle("CMS");
47		TLatex *latex = new TLatex();
48		latex->SetNDC();
49
50	<	ofstream outprint( "ikstest_results.txt" );
50	>	int size_ninv = (useInv ? 2 : 1);
51	>	for (int ninv = 0;ninv < size_ninv; ++ninv) {
52	>	TString invName = invNames[ninv];
53	>	TString desDir;
54	>	if (!useInv) {
55	>	if (!realData) desDir = baseDir + "MC/";
56	>	else desDir = baseDir + "Data_MC/";
57	>	} else {
58	>	if (!realData) desDir = baseDir + "MC_"+invName+"/";
59	>	else desDir = baseDir + "Data_"+invName+"/";
60	>	}
61	>	struct stat stDir;
62	>	if (!stat(desDir,&stDir)){
63	>	cout << "Output folder exists! Continues? (enter to continue; 'q' for quit)" << endl;
64	>	char incmd;
65	>	cin.get(incmd);
66	>	if (incmd == 'q') return;
67	>	} else {
68	>	cout << "Creating folder : " << desDir << endl;
69	>	if (mkdir(desDir,0755) == -1){
70	>	std::cerr << "Error creating folder" << endl;
71	>	return;
72	>	}
73	>	}
74	>
75	>	ofstream outprint(TString(desDir+"Results_"+suffix+".txt"));
76	>	//open the files with histograms
77	>	map<string,TFile*> mfile;
78	>	mfile["Data"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+".root"));
79	>	// n-1 cuts
80	>	if (useInv) {
81	>	if (realData)
82	>	mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+"_"+invName+".root"));
83	>	else
84	>	mfile["InvSel"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+"_"+invName+".root"));
85	>	}
86	>	// RefSel MC
87	>	mfile["0"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+".root"));
88	>	mfile["1"] = TFile::Open(TString("skimmed_MC/v5/WJets_"+suffix+".root"));
89	>	mfile["2"] = TFile::Open(TString("skimmed_MC/v5/TTbar_"+suffix+".root"));
90	>
91	>	//define histograms and related parameters
92	>	string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"};
93	>	string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"};
94	>	Int_t xbins[3] = {20,20,40};
95	>	Double_t xlow[3] = {0.,0.,0.};
96	>	Double_t xhigh[3] = {100.,100.,200.};
97	>	string sample[3] = {"QCD","Wjets","ttjets"};
98	>
99	>	TH1F* h_[9];
100	>	TH1F* mixh_[3];
101	>	TH1F* hQCD_NEW[3];
102	>	TH1F* hKSres_[3];
103	>	TH1F* hKSvalues_[3];
104	>	TH1F* hQCD_KS[3];
105	>	TH1F* hWJets_KS[3];
106	>
107	>	//load the histograms from the root files
108	>	for (int i = 0; i < 3; i++) {// 3 variables
109	>	//cout << "file[" << i << "] : " << endl;
110	>	string nameNewHisto = "mix_"+histoName[i];
111	>	string nameNewHistoSFKS = "finalSF_"+histoName[i];
112	>	string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[i];
113	>
114	>	mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]);
115	>	hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]);
116	>	hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
117	>
118	>	if (!useInv) {//use QCD MC sample
119	>	hQCD_NEW[i] = (TH1F*) mfile["0"]->Get(TString(histoName[i]))->Clone();
120	>	hQCD_NEW[i] -> Scale(weight_[0]);
121	>	hQCD_NEW[i] -> SetName((histoName[i]).c_str());
122	>	}
123	>	else {
124	>	hQCD_NEW[i] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[i]));
125	>	if (!realData) hQCD_NEW[i] -> Scale(weight_[0]);
126	>	hQCD_NEW[i] -> SetName((histoName[i]).c_str());
127	>	}
128	>
129	>	mixh_[i] -> Sumw2();
130	>	hKSres_[i] -> Sumw2();
131	>	hKSvalues_[i] -> Sumw2();
132	>	}
133
134	<	//open the files with histograms
135	<	TFile *file[3];
136	<	file[0] = TFile::Open("InclusiveMu15_Spring10_all.root");
137	<	file[1] = TFile::Open("WJets_madgraph_Spring10_all.root");
138	<	file[2] = TFile::Open("TTbarJets_madgraph_Spring10_all.root");
139	<
140	<	//define histograms and related parameters
141	<	string histoN[3] = {"h_mu_pt","h_met0","h_mt0"};
142	<	string hQCD_new[3] = {"h_mu_pt","h_met0","h_mt0"};
143	<	string histoLabelX[3] = {"p_{T}^{good Muons}", "E_{T}^{#nu}", "m_{T}^{W}"};
94	<	Int_t xbins[3] = {10,30,30};
95	<	Double_t xlow[3] = {0.,0.,0.};
96	<	Double_t xhigh[3] = {100.,200.,200.};
97	<	string sample[3] = {"QCD","Wjets","ttjets"};
98	<
99	<	TH1F* h_[9];
100	<	TH1F* mixh_[3];
101	<	TH1F* hQCD_NEW[3];
102	<	TH1F* hKSres_[3];
103	<	TH1F* hKSvalues_[3];
104	<
105	<	//load the histograms from the root files
106	<	for (int i = 0; i < 3; i++) {// 3 variables
107	<	//cout << "file[" << i << "] : " << endl;
108	<	string nameNewHisto = "mix_"+histoN[i];
109	<	string nameNewHistoSFKS = "finalSF_"+histoN[i];
110	<	string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[i];
111	<
112	<	mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]);
113	<	hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]);
114	<	hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",300, 0.5, 300.5);
115	<	//cout << TString("demo/"+hQCD_new[i]) << endl;
116	<	hQCD_NEW[i] = (TH1F*)file[0]->Get(TString("demo/"+hQCD_new[i])); // corresponds to h_[i]; i=0..2 for now
117	<	hQCD_NEW[i] -> SetName((hQCD_new[i]).c_str());
118	<
119	<	mixh_[i] -> Sumw2();
120	<	hKSres_[i] -> Sumw2();
121	<	hKSvalues_[i] -> Sumw2();
122	<
123	<	for (int ihisto = 0; ihisto < 3; ihisto++) {
124	<	//cout << "Variable[" << ihisto << "]" << endl;
125	<	string histo_name = histoN[ihisto]+sample[i];
126	<	//cout << TString("demo/"+histoN[ihisto]) << endl;
127	<	h_[i*3+ihisto] = (TH1F*)file[i]->Get(TString("demo/"+histoN[ihisto]));
128	<	h_[i*3+ihisto] -> SetName(histo_name.c_str());
134	>	for (int n = 0; n < 3; ++n) {// 3 MC samples
135	>	for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
136	>	//cout << "Variable[" << ihisto << "]" << endl;
137	>	string histo_name = histoName[ihisto]+sample[n];
138	>	ostringstream ss;
139	>	ss << n;
140	>	h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone();
141	>	h_[n*3+ihisto] -> Scale(weight_[n]);
142	>	h_[n*3+ihisto] -> SetName(histo_name.c_str());
143	>	}
144		}
130	–	}
145
146	<	//create the mixed samples = "data"
147	<	for (int i = 0; i < 3; i++) {
148	<	mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets);
149	<	//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets);
150	<	//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl;
151	<	}
146	>	//create the mixed samples = "data"
147	>	TString cvsName0 = "Data";
148	>	if (useInv) {
149	>	cvsName0 += "_";
150	>	cvsName0 += invName;
151	>	}
152	>	cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",600,700);
153	>	cvs[cvsName0]->Divide(3,1);
154	>	for (int i = 0; i < 3; i++) {
155	>	cvs[cvsName0]->cd(i+1);
156	>	if (!realData) {
157	>	mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets);
158	>	//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets);
159	>	//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl;
160	>	}
161	>	else {
162	>	TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]));
163	>	mixh_[i] -> Add(htmp,1.);
164	>	}
165	>	mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
166	>	mixh_[i]->GetYaxis()->SetTitle("Entries");
167	>	mixh_[i]->DrawClone();
168	>	}
169	>	cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions.pdf"));
170
171	<	//define the weight corrections for each sample
172	<	double corr_NevQCD            = (h_[2]->GetEntries())*weight_QCD;
173	<	double corr_NevQCD_NEW        = (hQCD_NEW[2]->GetEntries())*weight_QCD;
174	<	double corr_NevWjets          = (h_[5]->GetEntries())*weight_Wjets;
175	<	double corr_Nevttjets         = (h_[8]->GetEntries())*weight_ttjets;
176	<	double corr_Nevmix            = procQCD*corr_NevQCD+procWjets*corr_NevWjets;
177	<	//double corr_Nevmix    = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets;
178	<	outprint << "Events mix sample = " << corr_Nevmix << endl;
179	<	outprint << "Events QCD sample = " << corr_NevQCD << endl;
180	<	outprint << "Events Wjets sample = " << corr_NevWjets << endl;
181	<	outprint << "Events Nev revIso QCD sample = " << corr_NevQCD_NEW << endl;
182	<
183	<	//define the containers for chosen numbers (coressponding to the max KStest result)
184	<	testMC maxProb[3];
185	<
186	<	//define the scale factors calculated using information obtained from all parameters
187	<	Double_t SFbackg = 0.0;
188	<	Double_t sumSFbackg = 0.0;
189	<	Double_t SFsample = 0.0;
190	<	Double_t sumSFsample = 0.0;
191	<	Double_t allKS = 0.0;
192	<
193	<	//do the KS test by varying the scale factors
194	<	for (int i = 0; i < 3; i++) { // 3 variables
195	<	TH1F *data = (TH1F*)mixh_[i]->Clone();
196	<	data -> SetName("dataClone");
197	<	//data -> Scale(1./data->Integral());
198	<	vector<testMC> resultsKS = doKStest(corr_Nevmix, corr_NevQCD_NEW, corr_NevWjets, data, hQCD_NEW[i], h_[i+3]);
199	<	testMC tksmax = getMax(resultsKS);
200	<	maxProb[i] = tksmax;
201	<	outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
202	<	outprint << "\tmax Probability = " << maxProb[i].prob << endl;
203	<	outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
204	<	outprint << "\tproc_sample     = " << maxProb[i].scaleF_sample << endl;
205	<
206	<	outprint << "\n\tpercent_B of Data = " << maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/corr_Nevmix << endl;
207	<	outprint << "\tpercent_S of Data = " << maxProb[i].scaleF_sample*corr_NevWjets*100/corr_Nevmix << endl;
208	<	outprint << "---------------------------" << endl;
209	<
210	<	//create the mixed samples with KS test results
211	<	sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
212	<	sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
213	<	allKS += maxProb[i].prob;
214	<
215	<	//fill a histogram with the results from the KS test for each variable
216	<	for (int jiter = 0; jiter < resultsKS.size(); jiter++) {
217	<	//cout << "prob = " << resultsKS.at(jiter).prob << endl;
218	<	hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob);
171	>	//define the weight corrections for each sample
172	>	double NevData                = mixh_[2]->Integral();
173	>	double corr_NevQCD            = h_[2]->Integral();
174	>	double corr_NevQCD_NEW        = hQCD_NEW[2]->Integral();
175	>	double corr_NevWjets          = h_[5]->Integral();
176	>	double corr_Nevttjets         = h_[8]->Integral();
177	>	double corr_Nevmix            = procQCD*corr_NevQCD+procWjets*corr_NevWjets;
178	>	//double corr_Nevmix            = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets;
179	>	if (!realData)
180	>	outprint << "Events mix sample    = " << corr_Nevmix << endl;
181	>	else
182	>	outprint << "Events in Data       = " << NevData << endl;
183	>	outprint << "Events QCD sample    = " << corr_NevQCD << endl;
184	>	outprint << "Events Wjets sample  = " << corr_NevWjets << endl;
185	>	outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl;
186	>
187	>	//define the containers for chosen numbers (coressponding to the max KStest result)
188	>	testMC maxProb[3];
189	>
190	>	//define the scale factors calculated using information obtained from all parameters
191	>	Double_t SFbackg = 0.0;
192	>	Double_t sumSFbackg = 0.0;
193	>	Double_t SFsample = 0.0;
194	>	Double_t sumSFsample = 0.0;
195	>	Double_t allKS = 0.0;
196	>
197	>	//do the KS test by varying the scale factors
198	>	for (int i = 0; i < 3; i++) { // 3 variables
199	>	TH1F *data = (TH1F*)mixh_[i]->Clone();
200	>	data -> SetName("dataClone");
201	>	//data -> Scale(1./data->Integral());
202	>	vector<testMC> resultsKS = doKStest((realData ? NevData : corr_Nevmix),
203	>	(useInv ? corr_NevQCD_NEW : corr_NevQCD),
204	>	corr_NevWjets,
205	>	data, hQCD_NEW[i], h_[i+3]);
206	>	testMC tksmax = getMax(resultsKS);
207	>	maxProb[i] = tksmax;
208	>	outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
209	>	outprint << "\tmax Probability = " << maxProb[i].prob << endl;
210	>	outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
211	>	outprint << "\tproc_sample     = " << maxProb[i].scaleF_sample << endl;
212	>
213	>	outprint << "\n\tpercent_B of Data = "
214	>	<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
215	>	outprint << "\tpercent_S of Data = "
216	>	<< maxProb[i].scaleF_sample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << 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);
229	>	}
230	>	delete data;
231		}
188	–	delete data;
189	–	}
232
233	<	//calculate the final scale factors
234	<	SFbackg = sumSFbackg/allKS;
235	<	SFsample = sumSFsample/allKS;
236	<	outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
237	<	outprint << "\tcombined percent_B of Data = " << SFbackg*corr_NevQCD_NEW*100/corr_Nevmix << endl;
238	<	outprint << "\tcombined percent_S of Data = " << SFsample*corr_NevWjets*100/corr_Nevmix << endl;
239	<	outprint << "\n" << endl;
240	<	outprint << "=================================" << endl;
241	<	outprint << "\n" << endl;
233	>	//calculate the final scale factors
234	>	SFbackg = sumSFbackg/allKS;
235	>	SFsample = sumSFsample/allKS;
236	>	outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
237	>	outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl;
238	>	outprint << "\tcombined percent_B of Data = "
239	>	<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
240	>	outprint << "\tcombined percent_S of Data = "
241	>	<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
242	>	outprint << "\n" << endl;
243	>	outprint << "=================================" << endl;
244	>	outprint << "\n" << endl;
245	>
246	>
247	>	//=================================
248	>	// Plots
249	>	//=================================
250	>	for (int i = 0; i < 3; i++) {// 3 variables
251	>	hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample);
252	>	outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
253	>	outprint << "Data->Integral()   = " << mixh_[i]->Integral() << endl;
254	>
255	>	mixh_[i]->Rebin(2);
256	>	hQCD_NEW[i]->Rebin(2);
257	>	h_[i]->Rebin(2);
258	>	h_[i+3]->Rebin(2);
259	>	hKSres_[i]->Rebin(2);
260	>	//hKSvalues_[i]->Rebin(2);
261	>
262	>	// Stack Wjets and QCD after scaled by KS factors
263	>	hQCD_KS[i] = (TH1F*) hQCD_NEW[i]->Clone();
264	>	hQCD_KS[i]->Scale(SFbackg);
265	>	hQCD_KS[i]->SetLineColor(style.QCDColor);
266	>	hQCD_KS[i]->SetFillColor(style.QCDColor);
267	>	hQCD_KS[i]->SetFillStyle(style.QCDFill);
268	>
269	>	hWJets_KS[i] = (TH1F*) h_[i+3]->Clone();
270	>	hWJets_KS[i]->Scale(SFsample);
271	>	hWJets_KS[i]->SetLineColor(style.WJetsColor);
272	>	hWJets_KS[i]->SetFillColor(style.WJetsColor);
273	>	hWJets_KS[i]->SetFillStyle(style.WJetsFill);
274	>
275	>	THStack *hst = new THStack(invName,invName);
276	>	hst->Add(hQCD_KS[i]);
277	>	hst->Add(hWJets_KS[i]);
278	>
279	>	// Set plotting parameters
280	>	mixh_[i]     ->SetLineColor(1);
281	>	hQCD_NEW[i]  ->SetLineColor(2);
282	>	h_[i]        ->SetLineColor(4);
283	>	h_[i+3]      ->SetLineColor(3);
284	>	hKSres_[i]   ->SetLineColor(2);
285	>	hKSvalues_[i]->SetLineColor(i+1);
286	>
287	>	mixh_[i]     ->SetMarkerColor(1);
288	>	hQCD_NEW[i]  ->SetMarkerColor(2);
289	>	h_[i]        ->SetMarkerColor(4);
290	>	h_[i+3]      ->SetMarkerColor(3);
291	>	hKSres_[i]   ->SetMarkerColor(2);
292	>	hKSvalues_[i]->SetMarkerColor(i+1);
293	>
294	>	mixh_[i]     ->SetMarkerStyle(24);
295	>	hQCD_NEW[i]  ->SetMarkerStyle(20);
296	>	h_[i]        ->SetMarkerStyle(20);
297	>	h_[i+3]      ->SetMarkerStyle(20);
298	>	hKSres_[i]   ->SetMarkerStyle(20);
299	>	hKSvalues_[i]->SetMarkerStyle(20);
300	>
301	>	mixh_[i]     ->SetMarkerSize(1.4);
302	>	hQCD_NEW[i]  ->SetMarkerSize(1.1);
303	>	h_[i]        ->SetMarkerSize(1.1);
304	>	h_[i+3]      ->SetMarkerSize(1.1);
305	>	hKSres_[i]   ->SetMarkerSize(0.9);
306	>	hKSvalues_[i]->SetMarkerSize(1.1);
307	>
308	>	mixh_[i]     ->SetStats(0);
309	>	hQCD_NEW[i]  ->SetStats(0);
310	>	h_[i]        ->SetStats(0);
311	>	h_[i+3]      ->SetStats(0);
312	>	hKSres_[i]   ->SetStats(0);
313	>	hKSvalues_[i]->SetStats(0);
314	>	hQCD_KS[i]   ->SetStats(0);
315	>	hWJets_KS[i] ->SetStats(0);
316	>
317	>	hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
318	>	hKSres_[i]->GetYaxis()->SetTitle("Entries");
319	>	hKSvalues_[i]->GetXaxis()->SetTitle("iteration #");
320	>	hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
321	>	h_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
322	>	h_[i]->GetYaxis()->SetTitle("A.U.");
323	>
324	>	TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix+".pdf";
325	>	TString cvsName1 = histoName[i]+"_QCD";
326	>	if(useInv) cvsName1 = cvsName1 + "_" + invName;
327	>	cvs[cvsName1] = new TCanvas(cvsName1,"",600,700);
328	>	hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
329	>	h_[i] -> Scale(1./h_[i]->Integral());
330	>	h_[i+3] -> Scale(1./h_[i+3]->Integral());
331	>	outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
332	>	<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
333	>	h_[i]->Draw("P");
334	>	if (useInv)
335	>	hQCD_NEW[i]->Draw("sameP");
336	>	h_[i+3]->Draw("sameP");
337	>	TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85);
338	>	legend1->AddEntry(h_[i], "QCD");
339	>	if (useInv)
340	>	legend1->AddEntry(hQCD_NEW[i], "QCD - InvSel");
341	>	legend1->AddEntry(h_[i+3], "W+jets");
342	>	legend1->Draw();
343	>	legend1->SetFillColor(kWhite);
344	>	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
345	>	//cvs[cvsName1]->SetLogy();
346	>	cvs[cvsName1]->SaveAs(nameCanvas1);
347	>
348	>	TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix+".pdf";
349	>	TString cvsName2 = histoName[i]+"_dataKS";
350	>	if(useInv) cvsName2 = cvsName2 + "_" + invName;
351	>	cvs[cvsName2] = new TCanvas(cvsName2,"",600,700);
352	>	hst->Draw("hist");
353	>	hKSres_[i]->Draw("sameP");
354	>	mixh_[i]->Draw("sameP");
355	>
356	>	TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85);
357	>	legend2->AddEntry(mixh_[i], "Data");
358	>	legend2->AddEntry(hKSres_[i], "KS result");
359	>	legend2->AddEntry(hWJets_KS[i], style.WJetsText);
360	>	legend2->AddEntry(hQCD_KS[i], style.QCDText);
361	>	legend2->Draw();
362	>	legend2->SetFillColor(kWhite);
363	>	//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
364	>	//cvs[cvsName2]->SetLogy();
365	>	cvs[cvsName2]->SaveAs(nameCanvas2);
366	>	}
367
368	+	TString cvsName3 = "KStestValues";
369	+	if(useInv) cvsName3 = cvsName3 + "_" + invName;
370	+	cvs[cvsName3] = new TCanvas(cvsName3,"",600,700);
371	+	//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.2);
372	+	hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-36,1.2);
373	+	hKSvalues_[0]->Draw();
374	+	hKSvalues_[1]->Draw("same");
375	+	hKSvalues_[2]->Draw("same");
376	+	TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85);
377	+	legend3->AddEntry(hKSvalues_[0], "muon_pT");
378	+	legend3->AddEntry(hKSvalues_[1], "MET");
379	+	legend3->AddEntry(hKSvalues_[2], "W_mT");
380	+	legend3->Draw();
381	+	legend3->SetFillColor(kWhite);
382	+	//latex->DrawLatex(0.22,0.91,"KS test values");
383	+	cvs[cvsName3]->SetLogy();
384	+	TString nameCanvas3 = desDir+"KStestValues_newQCD"+suffix+".pdf";
385	+	cvs[cvsName3]->SaveAs(nameCanvas3);
386	+	}
387		}

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