1 |
jengbou |
1.4 |
#include "ikstest.h"
|
2 |
jengbou |
1.1 |
|
3 |
jengbou |
1.5 |
//=================================
|
4 |
|
|
// Program to run IKS test
|
5 |
|
|
// * Input directories:
|
6 |
|
|
// * Data: skimmed_Data_x.xxpb-1
|
7 |
|
|
// => default selection : Data_<suffix>.root
|
8 |
|
|
// => n-1 selection : Data_<suffix>_<invName>.root
|
9 |
|
|
// * MC : skimmed_MC {QCD,WJets,TTbar...}
|
10 |
|
|
// => default selection : QCD_<suffix>.root
|
11 |
|
|
// => n-1 selection : Data_<suffix>_<invName>.root
|
12 |
|
|
// * Upmost output dir specified by <desDir>
|
13 |
|
|
// subdirectory created according to <useInv> and <realData>
|
14 |
|
|
// => <desDir'><xyz><suffix>.pdf (.txt)
|
15 |
|
|
// * e.g. to do KS test on data with MC QCD shape in signal region:
|
16 |
|
|
// useInv=false; realData=true
|
17 |
|
|
//=================================
|
18 |
|
|
|
19 |
jengbou |
1.1 |
using namespace std;
|
20 |
|
|
|
21 |
jengbou |
1.5 |
//define the constants: 2.88/pb
|
22 |
|
|
const double weight_[3] = {0.0524313, //QCD
|
23 |
|
|
0.0091395, //WJets
|
24 |
|
|
0.000306 //TTbar
|
25 |
jengbou |
1.2 |
};
|
26 |
|
|
const Double_t procQCD = 1.46;
|
27 |
|
|
const Double_t procWjets = 1.03;
|
28 |
|
|
const Double_t procttjets = 1.0;
|
29 |
jengbou |
1.1 |
|
30 |
jengbou |
1.5 |
// Output directory
|
31 |
|
|
TString desDir = "Results_2.88pb-1/";
|
32 |
jengbou |
1.4 |
// User defined parameters
|
33 |
jengbou |
1.5 |
bool useInv = false; // whether to use n-1 QCD template
|
34 |
|
|
bool realData = false;
|
35 |
|
|
// Ntuples to use
|
36 |
|
|
TString suffix = "Sel0"; // Suffix of selection
|
37 |
|
|
TString invNames[2] = {"RelIsogt0p1","D0gt0p02"};
|
38 |
|
|
map<TString,TCanvas*> cvs; // map of usual histogram
|
39 |
jengbou |
1.2 |
|
40 |
|
|
//=================================
|
41 |
|
|
// Main program
|
42 |
|
|
//=================================
|
43 |
jengbou |
1.1 |
void ikstest() {
|
44 |
jengbou |
1.4 |
gROOT->SetStyle("CMS");
|
45 |
jengbou |
1.1 |
TLatex *latex = new TLatex();
|
46 |
|
|
latex->SetNDC();
|
47 |
jengbou |
1.5 |
TString invName;
|
48 |
|
|
int size_ninv = (useInv ? 2 : 1);
|
49 |
|
|
for (int ninv = 0;ninv < size_ninv; ++ninv) {
|
50 |
|
|
invName = invNames[ninv];
|
51 |
|
|
if (!useInv) {
|
52 |
|
|
if (!realData) desDir += "MC/";
|
53 |
|
|
else desDir += "Data_MC/";
|
54 |
|
|
} else {
|
55 |
|
|
if (!realData) desDir += "MC_"+invName+"/";
|
56 |
|
|
else desDir += "Data_"+invName+"/";
|
57 |
|
|
}
|
58 |
|
|
struct stat stDir;
|
59 |
|
|
if (!stat(desDir,&stDir)){
|
60 |
|
|
cout << "Output folder exists! Continues? (enter to continue; 'q' for quit)" << endl;
|
61 |
|
|
char incmd;
|
62 |
|
|
cin.get(incmd);
|
63 |
|
|
if (incmd == 'q') return;
|
64 |
|
|
} else {
|
65 |
|
|
cout << "Creating folder : " << desDir << endl;
|
66 |
|
|
if (mkdir(desDir,0755) == -1){
|
67 |
|
|
std::cerr << "Error creating folder" << endl;
|
68 |
|
|
return;
|
69 |
|
|
}
|
70 |
jengbou |
1.4 |
}
|
71 |
jengbou |
1.1 |
|
72 |
jengbou |
1.5 |
ofstream outprint(TString(desDir+"Results_"+suffix+".txt"));
|
73 |
|
|
//open the files with histograms
|
74 |
|
|
map<string,TFile*> mfile;
|
75 |
|
|
mfile["Data"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+".root"));
|
76 |
|
|
// n-1 cuts
|
77 |
|
|
if (useInv) {
|
78 |
|
|
if (realData)
|
79 |
|
|
mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.88pb-1/Data_"+suffix+"_"+invName+".root"));
|
80 |
|
|
else
|
81 |
|
|
mfile["InvSel"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+"_"+invName+".root"));
|
82 |
jengbou |
1.2 |
}
|
83 |
jengbou |
1.5 |
// RefSel MC
|
84 |
|
|
mfile["0"] = TFile::Open(TString("skimmed_MC/v5/QCD_"+suffix+".root"));
|
85 |
|
|
mfile["1"] = TFile::Open(TString("skimmed_MC/v5/WJets_"+suffix+".root"));
|
86 |
|
|
mfile["2"] = TFile::Open(TString("skimmed_MC/v5/TTbar_"+suffix+".root"));
|
87 |
|
|
|
88 |
|
|
//define histograms and related parameters
|
89 |
|
|
string histoName[3] = {"h_mu_pt_calo","h_met_calo","h_mt_calo"};
|
90 |
|
|
string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"};
|
91 |
|
|
Int_t xbins[3] = {20,20,40};
|
92 |
|
|
Double_t xlow[3] = {0.,0.,0.};
|
93 |
|
|
Double_t xhigh[3] = {100.,100.,200.};
|
94 |
|
|
string sample[3] = {"QCD","Wjets","ttjets"};
|
95 |
|
|
|
96 |
|
|
TH1F* h_[9];
|
97 |
|
|
TH1F* mixh_[3];
|
98 |
|
|
TH1F* hQCD_NEW[3];
|
99 |
|
|
TH1F* hKSres_[3];
|
100 |
|
|
TH1F* hKSvalues_[3];
|
101 |
|
|
|
102 |
|
|
//load the histograms from the root files
|
103 |
|
|
for (int i = 0; i < 3; i++) {// 3 variables
|
104 |
|
|
//cout << "file[" << i << "] : " << endl;
|
105 |
|
|
string nameNewHisto = "mix_"+histoName[i];
|
106 |
|
|
string nameNewHistoSFKS = "finalSF_"+histoName[i];
|
107 |
|
|
string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[i];
|
108 |
|
|
|
109 |
|
|
mixh_[i] = new TH1F(nameNewHisto.c_str(),"",xbins[i],xlow[i],xhigh[i]);
|
110 |
|
|
hKSres_[i] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[i],xlow[i],xhigh[i]);
|
111 |
|
|
hKSvalues_[i] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
|
112 |
|
|
|
113 |
|
|
if (!useInv) {//use QCD MC sample
|
114 |
|
|
hQCD_NEW[i] = (TH1F*) mfile["0"]->Get(TString(histoName[i]))->Clone();
|
115 |
|
|
hQCD_NEW[i] -> Scale(weight_[0]);
|
116 |
|
|
hQCD_NEW[i] -> SetName((histoName[i]).c_str());
|
117 |
|
|
}
|
118 |
|
|
else {
|
119 |
|
|
hQCD_NEW[i] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[i]));
|
120 |
|
|
if (!realData) hQCD_NEW[i] -> Scale(weight_[0]);
|
121 |
|
|
hQCD_NEW[i] -> SetName((histoName[i]).c_str());
|
122 |
|
|
}
|
123 |
|
|
|
124 |
|
|
mixh_[i] -> Sumw2();
|
125 |
|
|
hKSres_[i] -> Sumw2();
|
126 |
|
|
hKSvalues_[i] -> Sumw2();
|
127 |
jengbou |
1.2 |
}
|
128 |
jengbou |
1.1 |
|
129 |
jengbou |
1.5 |
for (int n = 0; n < 3; ++n) {// 3 MC samples
|
130 |
|
|
for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
|
131 |
|
|
//cout << "Variable[" << ihisto << "]" << endl;
|
132 |
|
|
string histo_name = histoName[ihisto]+sample[n];
|
133 |
|
|
ostringstream ss;
|
134 |
|
|
ss << n;
|
135 |
|
|
h_[n*3+ihisto] = (TH1F*) mfile[ss.str()]->Get(TString(histoName[ihisto]))->Clone();
|
136 |
|
|
h_[n*3+ihisto] -> Scale(weight_[n]);
|
137 |
|
|
h_[n*3+ihisto] -> SetName(histo_name.c_str());
|
138 |
|
|
}
|
139 |
jengbou |
1.1 |
}
|
140 |
|
|
|
141 |
jengbou |
1.5 |
//create the mixed samples = "data"
|
142 |
|
|
TString cvsName0 = "Data";
|
143 |
|
|
if (useInv) {
|
144 |
|
|
cvsName0 += "_";
|
145 |
|
|
cvsName0 += invName;
|
146 |
jengbou |
1.2 |
}
|
147 |
jengbou |
1.5 |
cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",600,700);
|
148 |
|
|
cvs[cvsName0]->Divide(3,1);
|
149 |
|
|
for (int i = 0; i < 3; i++) {
|
150 |
|
|
cvs[cvsName0]->cd(i+1);
|
151 |
|
|
if (!realData) {
|
152 |
|
|
mixh_[i] -> Add(h_[i],h_[i+3], procQCD,procWjets);
|
153 |
|
|
//mixh_[i] -> Add(mixh_[i],h_[i+6], 1,procttjets);
|
154 |
|
|
//cout << "histo_name: " << mixh_[0]->GetNbinsX() << endl;
|
155 |
|
|
}
|
156 |
|
|
else {
|
157 |
|
|
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]));
|
158 |
|
|
mixh_[i] -> Add(htmp,1.);
|
159 |
|
|
}
|
160 |
|
|
mixh_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
161 |
|
|
mixh_[i]->GetYaxis()->SetTitle("Entries");
|
162 |
|
|
mixh_[i]->DrawClone();
|
163 |
jengbou |
1.2 |
}
|
164 |
jengbou |
1.5 |
cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions.pdf"));
|
165 |
jengbou |
1.1 |
|
166 |
jengbou |
1.5 |
//define the weight corrections for each sample
|
167 |
|
|
double NevData = mixh_[2]->Integral();
|
168 |
|
|
double corr_NevQCD = h_[2]->Integral();
|
169 |
|
|
double corr_NevQCD_NEW = hQCD_NEW[2]->Integral();
|
170 |
|
|
double corr_NevWjets = h_[5]->Integral();
|
171 |
|
|
double corr_Nevttjets = h_[8]->Integral();
|
172 |
|
|
double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets;
|
173 |
|
|
//double corr_Nevmix = procQCD*corr_NevQCD+procWjets*corr_NevWjets+procttjets*corr_Nevttjets;
|
174 |
|
|
if (!realData)
|
175 |
|
|
outprint << "Events mix sample = " << corr_Nevmix << endl;
|
176 |
|
|
else
|
177 |
|
|
outprint << "Events in Data = " << NevData << endl;
|
178 |
|
|
outprint << "Events QCD sample = " << corr_NevQCD << endl;
|
179 |
|
|
outprint << "Events Wjets sample = " << corr_NevWjets << endl;
|
180 |
|
|
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << endl;
|
181 |
|
|
|
182 |
|
|
//define the containers for chosen numbers (coressponding to the max KStest result)
|
183 |
|
|
testMC maxProb[3];
|
184 |
|
|
|
185 |
|
|
//define the scale factors calculated using information obtained from all parameters
|
186 |
|
|
Double_t SFbackg = 0.0;
|
187 |
|
|
Double_t sumSFbackg = 0.0;
|
188 |
|
|
Double_t SFsample = 0.0;
|
189 |
|
|
Double_t sumSFsample = 0.0;
|
190 |
|
|
Double_t allKS = 0.0;
|
191 |
|
|
|
192 |
|
|
//do the KS test by varying the scale factors
|
193 |
|
|
for (int i = 0; i < 3; i++) { // 3 variables
|
194 |
|
|
TH1F *data = (TH1F*)mixh_[i]->Clone();
|
195 |
|
|
data -> SetName("dataClone");
|
196 |
|
|
//data -> Scale(1./data->Integral());
|
197 |
|
|
vector<testMC> resultsKS = doKStest((realData ? NevData : corr_Nevmix),
|
198 |
|
|
(useInv ? corr_NevQCD_NEW : corr_NevQCD),
|
199 |
|
|
corr_NevWjets,
|
200 |
|
|
data, hQCD_NEW[i], h_[i+3]);
|
201 |
|
|
testMC tksmax = getMax(resultsKS);
|
202 |
|
|
maxProb[i] = tksmax;
|
203 |
|
|
outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
|
204 |
|
|
outprint << "\tmax Probability = " << maxProb[i].prob << endl;
|
205 |
|
|
outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
|
206 |
|
|
outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl;
|
207 |
|
|
|
208 |
|
|
outprint << "\n\tpercent_B of Data = "
|
209 |
|
|
<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
|
210 |
|
|
outprint << "\tpercent_S of Data = "
|
211 |
|
|
<< maxProb[i].scaleF_sample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
|
212 |
|
|
outprint << "---------------------------" << endl;
|
213 |
|
|
|
214 |
|
|
//create the mixed samples with KS test results
|
215 |
|
|
sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
|
216 |
|
|
sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
|
217 |
|
|
allKS += maxProb[i].prob;
|
218 |
|
|
|
219 |
|
|
//fill a histogram with the results from the KS test for each variable
|
220 |
|
|
for (int jiter = 0; jiter < resultsKS.size(); jiter++) {
|
221 |
|
|
if (resultsKS.at(jiter).prob == 1.)
|
222 |
|
|
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS.at(jiter).prob << endl;
|
223 |
|
|
hKSvalues_[i]->SetBinContent(jiter,resultsKS.at(jiter).prob);
|
224 |
|
|
}
|
225 |
|
|
delete data;
|
226 |
jengbou |
1.1 |
}
|
227 |
|
|
|
228 |
jengbou |
1.5 |
//calculate the final scale factors
|
229 |
|
|
SFbackg = sumSFbackg/allKS;
|
230 |
|
|
SFsample = sumSFsample/allKS;
|
231 |
|
|
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
|
232 |
|
|
outprint << "==> Scale Factor for QCD MC = " << SFbackg*corr_NevQCD_NEW/corr_NevQCD << endl;
|
233 |
|
|
outprint << "\tcombined percent_B of Data = "
|
234 |
|
|
<< SFbackg*corr_NevQCD_NEW*100/(realData ? NevData : corr_Nevmix) << endl;
|
235 |
|
|
outprint << "\tcombined percent_S of Data = "
|
236 |
|
|
<< SFsample*corr_NevWjets*100/(realData ? NevData : corr_Nevmix) << endl;
|
237 |
|
|
outprint << "\n" << endl;
|
238 |
|
|
outprint << "=================================" << endl;
|
239 |
|
|
outprint << "\n" << endl;
|
240 |
|
|
|
241 |
|
|
|
242 |
|
|
//=================================
|
243 |
|
|
// Plots
|
244 |
|
|
//=================================
|
245 |
|
|
for (int i = 0; i < 3; i++) {// 3 variables
|
246 |
|
|
hKSres_[i] -> Add(hQCD_NEW[i],h_[i+3],SFbackg,SFsample);
|
247 |
|
|
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
|
248 |
|
|
outprint << "Data->Integral() = " << mixh_[i]->Integral() << endl;
|
249 |
|
|
|
250 |
|
|
mixh_[i]->Rebin(2);
|
251 |
|
|
hQCD_NEW[i]->Rebin(2);
|
252 |
|
|
h_[i]->Rebin(2);
|
253 |
|
|
h_[i+3]->Rebin(2);
|
254 |
|
|
hKSres_[i]->Rebin(2);
|
255 |
|
|
//hKSvalues_[i]->Rebin(2);
|
256 |
|
|
|
257 |
|
|
mixh_[i] ->SetLineColor(1);
|
258 |
|
|
hQCD_NEW[i] ->SetLineColor(2);
|
259 |
|
|
h_[i] ->SetLineColor(4);
|
260 |
|
|
h_[i+3] ->SetLineColor(3);
|
261 |
|
|
hKSres_[i] ->SetLineColor(2);
|
262 |
|
|
hKSvalues_[i]->SetLineColor(i+1);
|
263 |
|
|
|
264 |
|
|
mixh_[i] ->SetMarkerColor(1);
|
265 |
|
|
hQCD_NEW[i] ->SetMarkerColor(2);
|
266 |
|
|
h_[i] ->SetMarkerColor(4);
|
267 |
|
|
h_[i+3] ->SetMarkerColor(3);
|
268 |
|
|
hKSres_[i] ->SetMarkerColor(2);
|
269 |
|
|
hKSvalues_[i]->SetMarkerColor(i+1);
|
270 |
|
|
|
271 |
|
|
mixh_[i] ->SetMarkerStyle(24);
|
272 |
|
|
hQCD_NEW[i] ->SetMarkerStyle(20);
|
273 |
|
|
h_[i] ->SetMarkerStyle(20);
|
274 |
|
|
h_[i+3] ->SetMarkerStyle(20);
|
275 |
|
|
hKSres_[i] ->SetMarkerStyle(20);
|
276 |
|
|
hKSvalues_[i]->SetMarkerStyle(20);
|
277 |
|
|
|
278 |
|
|
mixh_[i] ->SetMarkerSize(1.4);
|
279 |
|
|
hQCD_NEW[i] ->SetMarkerSize(1.1);
|
280 |
|
|
h_[i] ->SetMarkerSize(1.1);
|
281 |
|
|
h_[i+3] ->SetMarkerSize(1.1);
|
282 |
|
|
hKSres_[i] ->SetMarkerSize(0.9);
|
283 |
|
|
hKSvalues_[i]->SetMarkerSize(1.1);
|
284 |
|
|
|
285 |
|
|
mixh_[i] ->SetStats(0);
|
286 |
|
|
hQCD_NEW[i] ->SetStats(0);
|
287 |
|
|
h_[i] ->SetStats(0);
|
288 |
|
|
h_[i+3] ->SetStats(0);
|
289 |
|
|
hKSres_[i] ->SetStats(0);
|
290 |
|
|
hKSvalues_[i]->SetStats(0);
|
291 |
|
|
|
292 |
|
|
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
293 |
|
|
hKSres_[i]->GetYaxis()->SetTitle("Entries");
|
294 |
|
|
hKSvalues_[i]->GetXaxis()->SetTitle("iteration #");
|
295 |
|
|
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
|
296 |
|
|
h_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
297 |
|
|
h_[i]->GetYaxis()->SetTitle("A.U.");
|
298 |
|
|
|
299 |
|
|
TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix+".pdf";
|
300 |
|
|
TString cvsName1 = histoName[i]+"_QCD";
|
301 |
|
|
if(useInv) cvsName1 = cvsName1 + "_" + invName;
|
302 |
|
|
cvs[cvsName1] = new TCanvas(cvsName1,"",600,700);
|
303 |
|
|
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
|
304 |
|
|
h_[i] -> Scale(1./h_[i]->Integral());
|
305 |
|
|
h_[i+3] -> Scale(1./h_[i+3]->Integral());
|
306 |
|
|
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
|
307 |
|
|
<< h_[i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
|
308 |
|
|
h_[i]->Draw("P");
|
309 |
|
|
if (useInv)
|
310 |
|
|
hQCD_NEW[i]->Draw("sameP");
|
311 |
|
|
h_[i+3]->Draw("sameP");
|
312 |
|
|
TLegend *legend1 = new TLegend(0.7, 0.70, 0.9, 0.85);
|
313 |
|
|
legend1->AddEntry(h_[i], "QCD");
|
314 |
|
|
if (useInv)
|
315 |
|
|
legend1->AddEntry(hQCD_NEW[i], "QCD - InvSel");
|
316 |
|
|
legend1->AddEntry(h_[i+3], "W+jets");
|
317 |
|
|
legend1->Draw();
|
318 |
|
|
legend1->SetFillColor(kWhite);
|
319 |
|
|
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
320 |
|
|
//cvs[cvsName1]->SetLogy();
|
321 |
|
|
cvs[cvsName1]->SaveAs(nameCanvas1);
|
322 |
|
|
|
323 |
|
|
TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix+".pdf";
|
324 |
|
|
TString cvsName2 = histoName[i]+"_dataKS";
|
325 |
|
|
if(useInv) cvsName2 = cvsName2 + "_" + invName;
|
326 |
|
|
cvs[cvsName2] = new TCanvas(cvsName2,"",600,700);
|
327 |
|
|
hKSres_[i]->Draw("P");
|
328 |
|
|
mixh_[i]->Draw("sameP");
|
329 |
|
|
TLegend *legend2 = new TLegend(0.7, 0.70, 0.9, 0.85);
|
330 |
|
|
legend2->AddEntry(mixh_[i], "Data");
|
331 |
|
|
legend2->AddEntry(hKSres_[i], "KS result");
|
332 |
|
|
legend2->Draw();
|
333 |
|
|
legend2->SetFillColor(kWhite);
|
334 |
|
|
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
335 |
|
|
//cvs[cvsName2]->SetLogy();
|
336 |
|
|
cvs[cvsName2]->SaveAs(nameCanvas2);
|
337 |
jengbou |
1.2 |
|
338 |
jengbou |
1.5 |
}
|
339 |
jengbou |
1.2 |
|
340 |
|
|
|
341 |
jengbou |
1.5 |
TString cvsName3 = "KStestValues";
|
342 |
|
|
if(useInv) cvsName3 = cvsName3 + "_" + invName;
|
343 |
|
|
cvs[cvsName3] = new TCanvas(cvsName3,"",600,700);
|
344 |
|
|
//hKSvalues_[0]->GetXaxis()->SetRangeUser(0.9,1.2);
|
345 |
|
|
hKSvalues_[0]->GetYaxis()->SetRangeUser(1e-36,1.2);
|
346 |
|
|
hKSvalues_[0]->Draw();
|
347 |
|
|
hKSvalues_[1]->Draw("same");
|
348 |
|
|
hKSvalues_[2]->Draw("same");
|
349 |
|
|
TLegend *legend3 = new TLegend(0.7, 0.70, 0.9, 0.85);
|
350 |
|
|
legend3->AddEntry(hKSvalues_[0], "muon_pT");
|
351 |
|
|
legend3->AddEntry(hKSvalues_[1], "MET");
|
352 |
|
|
legend3->AddEntry(hKSvalues_[2], "W_mT");
|
353 |
|
|
legend3->Draw();
|
354 |
|
|
legend3->SetFillColor(kWhite);
|
355 |
|
|
//latex->DrawLatex(0.22,0.91,"KS test values");
|
356 |
|
|
cvs[cvsName3]->SetLogy();
|
357 |
|
|
TString nameCanvas3 = desDir+"KStestValues_newQCD"+suffix+".pdf";
|
358 |
|
|
cvs[cvsName3]->SaveAs(nameCanvas3);
|
359 |
|
|
}
|
360 |
jengbou |
1.1 |
}
|