| 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: 2.88/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 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 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 |
|
| 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 |
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 |
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 |
|
| 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 |
}
|
