| 1 |
#include "ikstest.h"
|
| 2 |
#include "TopStyle/tdrstyle.C"
|
| 3 |
#include "TopStyle/CMSTopStyle.cc"
|
| 4 |
|
| 5 |
//=================================
|
| 6 |
// Program to run IKS test
|
| 7 |
// * Input directories:
|
| 8 |
// * Data: skimmed_Data_x.xxpb-1
|
| 9 |
// => default selection : Data_<suffix>.root
|
| 10 |
// => n-1 selection : Data_<suffix>_<invName>.root
|
| 11 |
// * MC : skimmed_MC {QCD,WJets,TTbar...}
|
| 12 |
// => default selection : QCD_<suffix>.root
|
| 13 |
// => n-1 selection : Data_<suffix>_<invName>.root
|
| 14 |
// * Upmost output dir specified by <desDir>
|
| 15 |
// subdirectory created according to <useInv> and <realData>
|
| 16 |
// => <desDir'><xyz><suffix>.pdf (.txt)
|
| 17 |
// * e.g. to do KS test on data with MC QCD shape in signal region:
|
| 18 |
// useInv=false; realData=true
|
| 19 |
//=================================
|
| 20 |
|
| 21 |
using namespace std;
|
| 22 |
|
| 23 |
//define the constants: 35./pb
|
| 24 |
double Lint_ = 35.;
|
| 25 |
TString sNames[] = {"QCD","WJets","TTbar","ZJets","STtch"};
|
| 26 |
const Double_t procQCD = 2.5;
|
| 27 |
const Double_t procWJets = 1.3;
|
| 28 |
const Double_t procTTbar = 1.;
|
| 29 |
const Double_t procZJets = 1.;
|
| 30 |
const Double_t procSTtch = 1.;
|
| 31 |
|
| 32 |
// Output directory
|
| 33 |
TString baseDir = "Results_34.72pb-1_";
|
| 34 |
TString jbinNames[] = {"Incl1","Incl2","Incl3","Incl4","Excl1","Excl2","Excl3"};
|
| 35 |
//TString jbinNames[] = {"Incl3"};
|
| 36 |
TString postDir = "_KSopt/";
|
| 37 |
// User defined parameters
|
| 38 |
bool realData = true;
|
| 39 |
bool useInv = true; // whether to use n-1 QCD template
|
| 40 |
bool plotInvSelShape = true; // whether to use shape from inverse selection for dataKS plots. Available when useInv is true
|
| 41 |
bool useIKSopt = true;
|
| 42 |
double yLowBound = 1.e-36;
|
| 43 |
// Ntuples to use
|
| 44 |
TString selNames[] = {"Sel51"}; // Suffix of selection
|
| 45 |
TString jetName = "PF";// Calo, JPT, PF
|
| 46 |
TString invNames[] = {"RelIsogt0p1ORD0gt0p02","RelIsogt0p15lt0p7ORD0gt0p025"};
|
| 47 |
TString invLabels[] = {"RelIso > 0.1 or d_{0} > 0.02","#splitline{0.1< RelIso <0.7 or}{d_{0} > 0.025 cm}"};
|
| 48 |
bool debug_ = false;
|
| 49 |
bool UseOverflow = true;
|
| 50 |
bool overwriteAll = true;
|
| 51 |
|
| 52 |
//=================================
|
| 53 |
// Main program
|
| 54 |
//=================================
|
| 55 |
void ikstest() {
|
| 56 |
map<TString,double> weight_;
|
| 57 |
weight_["QCD"] = 79688.0/4377187*Lint_; //QCD
|
| 58 |
weight_["WJets"] = 31314.0/10068895*Lint_*procWJets; //WJets
|
| 59 |
weight_["TTbar"] = 157.5/1483404*Lint_*procTTbar; //TTbar
|
| 60 |
weight_["ZJets"] = 3048.0/1084921*Lint_*procZJets; //ZJets
|
| 61 |
weight_["STtch"] = 20.93/528593*Lint_*procSTtch; //STtch
|
| 62 |
|
| 63 |
CMSTopStyle style;
|
| 64 |
setTDRStyle();
|
| 65 |
style.setupICHEPv1();
|
| 66 |
TLatex *latex = new TLatex();
|
| 67 |
latex->SetNDC();
|
| 68 |
|
| 69 |
int n_Invs_ = (useInv ? sizeof(invNames)/sizeof(invNames[0]) : 1);
|
| 70 |
int n_Sels_ = sizeof(selNames)/sizeof(selNames[0]);
|
| 71 |
int n_jbins_ = sizeof(jbinNames)/sizeof(jbinNames[0]);
|
| 72 |
|
| 73 |
cout << "size of selNames = " << n_Sels_ << endl;
|
| 74 |
cout << "size of jbinNames = " << n_jbins_ << endl;
|
| 75 |
cout << "size of invNames = " << n_Invs_ << endl;
|
| 76 |
|
| 77 |
for (int i = 0; i < n_jbins_; ++i){
|
| 78 |
struct stat stbDir;
|
| 79 |
TString tmpDir = baseDir + jbinNames[i] + postDir;
|
| 80 |
if (stat(tmpDir,&stbDir)){
|
| 81 |
cout << "Creating folder : " << tmpDir << endl;
|
| 82 |
if (mkdir(tmpDir,0755) == -1){
|
| 83 |
std::cerr << "Error creating folder" << endl;
|
| 84 |
return;
|
| 85 |
}
|
| 86 |
}
|
| 87 |
}
|
| 88 |
|
| 89 |
bool exclusive_ = false;
|
| 90 |
for (int ninv = 0; ninv < n_Invs_; ++ninv) {
|
| 91 |
TString invName = invNames[ninv];
|
| 92 |
for (int nsel = 0; nsel < n_Sels_; ++nsel) {
|
| 93 |
ostringstream ssel_;
|
| 94 |
ssel_ << nsel;
|
| 95 |
TString suffix0_ = selNames[nsel];
|
| 96 |
|
| 97 |
//open the files with histograms
|
| 98 |
map<string,TFile*> mfile;
|
| 99 |
map<TString,TCanvas*> cvs; // map of usual histogram
|
| 100 |
mfile.clear();
|
| 101 |
cvs.clear();
|
| 102 |
mfile["Data"] = TFile::Open(TString("merged_Data/34.72pb-1_v2/Data_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 103 |
// n-1 cuts
|
| 104 |
if (useInv) {
|
| 105 |
if (realData)
|
| 106 |
mfile["InvSel"] = TFile::Open(TString("merged_Data/34.72pb-1_v2/Data_"+suffix0_+"_"+invName+"_"+jetName+"_TCHEM.root"));
|
| 107 |
else
|
| 108 |
mfile["InvSel"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/QCD_"+suffix0_+"_"+invName+"_"+jetName+"_TCHEM.root"));
|
| 109 |
}
|
| 110 |
// RefSel MC
|
| 111 |
mfile["0"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/QCD_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 112 |
mfile["1"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/WJets_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 113 |
mfile["2"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/TTbar_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 114 |
mfile["3"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/ZJets_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 115 |
mfile["4"] = TFile::Open(TString("skimmed_MC/V00-01-04-07_v2_PF/STtch_"+suffix0_+"_"+jetName+"_TCHEM.root"));
|
| 116 |
|
| 117 |
for (int njbin = 0; njbin < n_jbins_; ++njbin) {
|
| 118 |
exclusive_ = false;
|
| 119 |
if (jbinNames[njbin].Contains("Excl")) exclusive_ = true;
|
| 120 |
char nthjbin_ = jbinNames[njbin](jbinNames[njbin].Length()-1);
|
| 121 |
|
| 122 |
TString desDir;
|
| 123 |
TString tmpDir = baseDir + jbinNames[njbin] + postDir;
|
| 124 |
// create output directory
|
| 125 |
if (!useInv) {
|
| 126 |
if (!realData) desDir = tmpDir + "MC/";
|
| 127 |
else desDir = tmpDir + "Data_MC/";
|
| 128 |
} else {
|
| 129 |
if (!realData) desDir = tmpDir + "MC_"+invName+"/";
|
| 130 |
else desDir = tmpDir + "Data_"+invName+"/";
|
| 131 |
}
|
| 132 |
|
| 133 |
if (nsel == 0) {
|
| 134 |
struct stat stDir;
|
| 135 |
if (!stat(desDir,&stDir)){
|
| 136 |
cout << "\nOutput folder \"" << desDir
|
| 137 |
<< "\" exists! Continue to overwrite it? (enter to continue; 'q' for quit)" << endl;
|
| 138 |
char incmd;
|
| 139 |
if (overwriteAll) incmd='a';
|
| 140 |
else cin.get(incmd);
|
| 141 |
if (incmd == 'q') return;
|
| 142 |
} else {
|
| 143 |
cout << "Creating folder : " << desDir << endl;
|
| 144 |
if (mkdir(desDir,0755) == -1){
|
| 145 |
std::cerr << "Error creating folder" << endl;
|
| 146 |
return;
|
| 147 |
}
|
| 148 |
}
|
| 149 |
}
|
| 150 |
|
| 151 |
TString suffix1_ = jbinNames[njbin] + "_" + selNames[nsel] + "_" + jetName;
|
| 152 |
|
| 153 |
ofstream outprint(TString(desDir+"Results_"+suffix1_+".txt"));
|
| 154 |
|
| 155 |
//define histograms and related parameters
|
| 156 |
TString histoName[] = {"h_mu_pt","h_met","h_mt"}; // h_mu_eta, h_Ht
|
| 157 |
const size_t nvars_ = sizeof(histoName)/sizeof(histoName[0]);
|
| 158 |
if (nvars_ == 1) useIKSopt = false;
|
| 159 |
cout << "===> Fit " << nvars_ << " variable(s): " << endl;
|
| 160 |
|
| 161 |
string histoTitle[nvars_];
|
| 162 |
string histoLabelX[nvars_];
|
| 163 |
|
| 164 |
//Histo binning
|
| 165 |
Int_t xbins[nvars_];
|
| 166 |
Double_t xlow[nvars_];
|
| 167 |
Double_t xhigh[nvars_];
|
| 168 |
string sample[5] = {"QCD","WJets","TTbar","ZJets","STtch"};
|
| 169 |
|
| 170 |
TH1F* hMC_[5][nvars_]; // MC histograms
|
| 171 |
TH1F* hData_[nvars_]; // Data or mix MC
|
| 172 |
TH1F* hQCD_NEW[nvars_]; // InvSel QCD shape
|
| 173 |
TH1F* hKSres_[nvars_];
|
| 174 |
TH1F* hKSvalues_[(nvars_ == 1 ? 1 : nvars_+1)];
|
| 175 |
TH1F* hQCD_KS[nvars_];
|
| 176 |
TH1F* hWJets_KS[nvars_];
|
| 177 |
|
| 178 |
if (useIKSopt) hKSvalues_[nvars_] = new TH1F(TString("productKSvalues_"+suffix1_),"",2./stepsize, stepsize, 2.+stepsize);
|
| 179 |
|
| 180 |
string suffixj_ = "_";
|
| 181 |
if (exclusive_) suffixj_ += "excl";
|
| 182 |
|
| 183 |
//load the histograms from the root files
|
| 184 |
for (size_t vi = 0; vi < nvars_; ++vi) {// nvars_ variables
|
| 185 |
ostringstream svi_;
|
| 186 |
svi_ << vi;
|
| 187 |
|
| 188 |
if (!useInv) {//use QCD MC sample
|
| 189 |
hQCD_NEW[vi] = (TH1F*) mfile["0"]->Get(TString(histoName[vi]+suffixj_+nthjbin_))->Clone();
|
| 190 |
hQCD_NEW[vi] -> Scale(weight_["QCD"]);
|
| 191 |
hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+suffixj_+svi_.str()+"_"+nthjbin_));
|
| 192 |
}
|
| 193 |
else {
|
| 194 |
hQCD_NEW[vi] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[vi]+suffixj_+nthjbin_))->Clone();
|
| 195 |
if (!realData) hQCD_NEW[vi] -> Scale(weight_["QCD"]);
|
| 196 |
hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+suffixj_+svi_.str()+"_"+nthjbin_));
|
| 197 |
}
|
| 198 |
|
| 199 |
xbins[vi] = hQCD_NEW[vi]->GetNbinsX();
|
| 200 |
xlow[vi] = hQCD_NEW[vi]->GetXaxis()->GetXmin();
|
| 201 |
xhigh[vi] = hQCD_NEW[vi]->GetXaxis()->GetXmax();
|
| 202 |
histoTitle[vi] = hQCD_NEW[vi]->GetTitle();
|
| 203 |
histoLabelX[vi] = hQCD_NEW[vi]->GetXaxis()->GetTitle();
|
| 204 |
cout << histoTitle[vi] << ": nbins = " << xbins[vi] << "; x = (" << xlow[vi] << ", " << xhigh[vi] << ")" << endl;
|
| 205 |
|
| 206 |
if (debug_) cout << "hQCD_NEW[" << vi << "] @ " << hQCD_NEW[vi] << endl;
|
| 207 |
if (UseOverflow) {
|
| 208 |
hQCD_NEW[vi]->SetBinContent(xbins[vi],
|
| 209 |
hQCD_NEW[vi]->GetBinContent(xbins[vi]+1)+
|
| 210 |
hQCD_NEW[vi]->GetBinContent(xbins[vi]));
|
| 211 |
double err_ = sqrt(hQCD_NEW[vi]->GetBinError(xbins[vi]+1)*hQCD_NEW[vi]->GetBinError(xbins[vi]+1)+
|
| 212 |
hQCD_NEW[vi]->GetBinError(xbins[vi])*hQCD_NEW[vi]->GetBinError(xbins[vi]));
|
| 213 |
hQCD_NEW[vi]->SetBinError(xbins[vi],err_);
|
| 214 |
}
|
| 215 |
TString nameNewHisto = "mix_"+histoName[vi]+suffixj_+nthjbin_;
|
| 216 |
TString nameNewHistoSFKS = "finalSF_"+histoName[vi]+suffixj_+nthjbin_;
|
| 217 |
TString nameNewHistoKSvalues = "KSvalues_"+histoLabelX[vi]+suffixj_+nthjbin_;
|
| 218 |
hData_[vi] = new TH1F(nameNewHisto,"",xbins[vi],xlow[vi],xhigh[vi]);
|
| 219 |
hKSres_[vi] = new TH1F(nameNewHistoSFKS,"",xbins[vi],xlow[vi],xhigh[vi]);
|
| 220 |
hKSvalues_[vi] = new TH1F(nameNewHistoKSvalues,"",2./stepsize, stepsize, 2.+stepsize);
|
| 221 |
hData_[vi]->Sumw2();
|
| 222 |
hKSres_[vi]->Sumw2();
|
| 223 |
hKSvalues_[vi]->Sumw2();
|
| 224 |
}
|
| 225 |
|
| 226 |
for (size_t n = 0; n < 5; ++n) {// MC samples
|
| 227 |
for (size_t ihisto = 0; ihisto < nvars_; ihisto++) {// nvars_ variables
|
| 228 |
//TString histo_name = histoName[ihisto]+suffixj_+nthjbin_+"_"+sample[n];
|
| 229 |
//cout << "[histo] " << histo_name << endl;
|
| 230 |
ostringstream ss_;
|
| 231 |
ss_ << n;
|
| 232 |
|
| 233 |
hMC_[n][ihisto] = (TH1F*) mfile[ss_.str()]->Get(TString(histoName[ihisto]+suffixj_+nthjbin_))->Clone();
|
| 234 |
if (UseOverflow) {
|
| 235 |
hMC_[n][ihisto]->SetBinContent(xbins[ihisto],
|
| 236 |
hMC_[n][ihisto]->GetBinContent(xbins[ihisto]+1)+
|
| 237 |
hMC_[n][ihisto]->GetBinContent(xbins[ihisto]));
|
| 238 |
double err_ = sqrt(hMC_[n][ihisto]->GetBinError(xbins[ihisto]+1)*hMC_[n][ihisto]->GetBinError(xbins[ihisto]+1)+
|
| 239 |
hMC_[n][ihisto]->GetBinError(xbins[ihisto])*hMC_[n][ihisto]->GetBinError(xbins[ihisto]));
|
| 240 |
hMC_[n][ihisto]->SetBinError(xbins[ihisto],err_);
|
| 241 |
}
|
| 242 |
if (debug_) {
|
| 243 |
cout << "File[" << n << "] @" << mfile[ss_.str()]
|
| 244 |
<< "; histo[" << ihisto << "] @ " << mfile[ss_.str()]->Get(TString(histoName[ihisto]+suffixj_+nthjbin_))
|
| 245 |
<<"; hMC_[" << n << "][" << ihisto << "] raw evts = "
|
| 246 |
<< setw(12) << hMC_[n][ihisto]->Integral();
|
| 247 |
}
|
| 248 |
|
| 249 |
hMC_[n][ihisto] -> Scale(weight_[sNames[n]]);
|
| 250 |
hMC_[n][ihisto] -> SetName(TString("MC_"+sample[n]+"_"+histoName[ihisto]+suffixj_+nthjbin_));
|
| 251 |
if (debug_) cout << "; weighted num evts = " << setw(8) << hMC_[n][ihisto]->Integral() << endl;
|
| 252 |
}
|
| 253 |
}
|
| 254 |
|
| 255 |
//create the mixed samples = "data"
|
| 256 |
TString cvsName0 = "Data";
|
| 257 |
if (useInv) {
|
| 258 |
cvsName0 += "_";
|
| 259 |
cvsName0 += invName;
|
| 260 |
}
|
| 261 |
cvsName0 += TString("_" + ssel_.str() + jbinNames[njbin] + "_" + jetName);
|
| 262 |
cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",300*nvars_,600);
|
| 263 |
cvs[cvsName0]->Divide(nvars_,1);
|
| 264 |
for (size_t i = 0; i < nvars_; i++) {
|
| 265 |
cvs[cvsName0]->cd(i+1);
|
| 266 |
if (!realData) {
|
| 267 |
hData_[i] -> Add(hMC_[0][i],hMC_[1][i], procQCD,procWJets);
|
| 268 |
hData_[i] -> Add(hMC_[2][i], procTTbar);
|
| 269 |
hData_[i] -> Add(hMC_[3][i], procZJets);
|
| 270 |
hData_[i] -> Add(hMC_[4][i], procSTtch);
|
| 271 |
}
|
| 272 |
else {
|
| 273 |
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]+suffixj_+nthjbin_));
|
| 274 |
hData_[i] -> Add(htmp,1.);
|
| 275 |
if (UseOverflow) {
|
| 276 |
hData_[i]->SetBinContent(xbins[i],
|
| 277 |
hData_[i]->GetBinContent(xbins[i]+1)+
|
| 278 |
hData_[i]->GetBinContent(xbins[i]));
|
| 279 |
double err_ = sqrt(hData_[i]->GetBinError(xbins[i]+1)*hData_[i]->GetBinError(xbins[i]+1)+
|
| 280 |
hData_[i]->GetBinError(xbins[i])*hData_[i]->GetBinError(xbins[i]));
|
| 281 |
hData_[i]->SetBinError(xbins[i],err_);
|
| 282 |
}
|
| 283 |
}
|
| 284 |
hData_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
| 285 |
hData_[i]->GetYaxis()->SetTitle("Events");
|
| 286 |
if (histoName[i].Contains("mu_pt")) hData_[i]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
|
| 287 |
if (histoName[i].Contains("met")) hData_[i]->GetXaxis()->SetRange((size_t)findFirstBinAbove(0.,hData_[i]),xbins[i]);
|
| 288 |
hData_[i]->DrawClone("hist");
|
| 289 |
}
|
| 290 |
//cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions_"+selNames[nsel]+".pdf"));
|
| 291 |
//cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions_"+selNames[nsel]+".png"));
|
| 292 |
|
| 293 |
//Calculate num of events for each sample
|
| 294 |
vector<double> vNev_;
|
| 295 |
double errNevt[8];
|
| 296 |
double NevData = hData_[nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[0]);
|
| 297 |
double corr_NevQCD = hMC_[0][nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[1]);
|
| 298 |
double corr_NevQCD_NEW = hQCD_NEW[nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[2]);
|
| 299 |
double corr_NevWJets = hMC_[1][nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[3]);
|
| 300 |
double corr_NevTTbar = hMC_[2][nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[4]);
|
| 301 |
double corr_NevZJets = hMC_[3][nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[5]);
|
| 302 |
double corr_NevSTtch = hMC_[4][nvars_-1]->IntegralAndError(1,xbins[nvars_-1],errNevt[6]);
|
| 303 |
cout << "corr_NevSTtch = " << corr_NevSTtch << endl;
|
| 304 |
double corr_Nevmix = corr_NevQCD + corr_NevWJets + corr_NevTTbar
|
| 305 |
+ corr_NevZJets + corr_NevSTtch;//should equal NevData for MC
|
| 306 |
errNevt[7] = sqrt(errNevt[1]*errNevt[1]+errNevt[3]*errNevt[3]+errNevt[4]*errNevt[4]+
|
| 307 |
errNevt[5]*errNevt[5]+errNevt[6]*errNevt[6]);
|
| 308 |
|
| 309 |
// store nev in a vector
|
| 310 |
vNev_.push_back(NevData);
|
| 311 |
vNev_.push_back((useInv ? corr_NevQCD_NEW : corr_NevQCD));
|
| 312 |
vNev_.push_back(corr_NevWJets);
|
| 313 |
|
| 314 |
// Non WJets (use MC expected values):
|
| 315 |
if (procTTbar > 0.) vNev_.push_back(corr_NevTTbar*procTTbar);
|
| 316 |
if (procZJets > 0.) vNev_.push_back(corr_NevZJets*procZJets);
|
| 317 |
if (procSTtch > 0.) vNev_.push_back(corr_NevSTtch*procSTtch);
|
| 318 |
|
| 319 |
outprint << "Events in Data = " << NevData << " +/- " << errNevt[0] << endl;
|
| 320 |
outprint << "Events QCD sample = " << corr_NevQCD << " +/- " << errNevt[1] << endl;
|
| 321 |
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << " +/- " << errNevt[2] << endl;
|
| 322 |
outprint << "---------------------------" << endl;
|
| 323 |
outprint << "Events WJets sample = " << corr_NevWJets << " +/- " << errNevt[3] << endl;
|
| 324 |
outprint << "Events TTbar sample = " << corr_NevTTbar << " +/- " << errNevt[4] << endl;
|
| 325 |
outprint << "Events ZJets sample = " << corr_NevZJets << " +/- " << errNevt[5] << endl;
|
| 326 |
outprint << "Events STtch sample = " << corr_NevSTtch << " +/- " << errNevt[6] << endl;
|
| 327 |
outprint << "Total MC Events = " << corr_Nevmix << " +/- " << errNevt[7] << endl;
|
| 328 |
|
| 329 |
//define the containers for chosen numbers (coressponding to the max KStest result)
|
| 330 |
testMC maxProb[nvars_];
|
| 331 |
|
| 332 |
//define the scale factors calculated using information obtained from all parameters
|
| 333 |
Double_t SFbackg = 0.0;
|
| 334 |
Double_t sumSFbackg = 0.0;
|
| 335 |
Double_t SFsample = 0.0;
|
| 336 |
Double_t sumSFsample = 0.0;
|
| 337 |
Double_t allKS = 0.0;
|
| 338 |
|
| 339 |
vector<testMC> resultsKS[nvars_];
|
| 340 |
//do the KS test by varying the scale factors
|
| 341 |
for (size_t i = 0; i < nvars_; i++) { // nvars_ variables
|
| 342 |
TH1F *data = (TH1F*)hData_[i]->Clone("data");
|
| 343 |
data -> SetName("dataClone");
|
| 344 |
map<string,TH1F*> mHisto_;
|
| 345 |
mHisto_.clear();
|
| 346 |
mHisto_["Data"] = data;
|
| 347 |
mHisto_["QCD"] = (useInv ? (TH1F*)hQCD_NEW[i]->Clone() : (TH1F*)hMC_[0][i]->Clone());
|
| 348 |
mHisto_["WJets"] = (TH1F*)hMC_[1][i]->Clone();//WJets
|
| 349 |
if (procTTbar > 0.) {
|
| 350 |
mHisto_["TTbar"] = (TH1F*)hMC_[2][i]->Clone();
|
| 351 |
mHisto_["TTbar"]->Scale(procTTbar);
|
| 352 |
}
|
| 353 |
if (procZJets > 0.) {
|
| 354 |
mHisto_["ZJets"] = (TH1F*)hMC_[3][i]->Clone();
|
| 355 |
mHisto_["ZJets"]->Scale(procZJets);
|
| 356 |
}
|
| 357 |
if (procSTtch > 0.) {
|
| 358 |
mHisto_["STtch"] = (TH1F*)hMC_[4][i]->Clone();
|
| 359 |
mHisto_["STtch"]->Scale(procSTtch);
|
| 360 |
}
|
| 361 |
|
| 362 |
//data -> Scale(1./data->Integral());
|
| 363 |
resultsKS[i] = doKStest(vNev_,mHisto_);
|
| 364 |
testMC tksmax = getMax(resultsKS[i]);
|
| 365 |
maxProb[i] = tksmax;
|
| 366 |
outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
|
| 367 |
outprint << "\tmax Probability = " << maxProb[i].prob << endl;
|
| 368 |
outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
|
| 369 |
outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl;
|
| 370 |
|
| 371 |
outprint << "\n\tpercent_B of Data = "
|
| 372 |
<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/NevData << endl;
|
| 373 |
outprint << "\tpercent_S of Data = "
|
| 374 |
<< maxProb[i].scaleF_sample*corr_NevWJets*100/NevData << endl;
|
| 375 |
outprint << "---------------------------" << endl;
|
| 376 |
|
| 377 |
//create the mixed samples with KS test results
|
| 378 |
sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
|
| 379 |
sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
|
| 380 |
allKS += maxProb[i].prob;
|
| 381 |
|
| 382 |
//fill a histogram with the results from the KS test for each variable
|
| 383 |
for (size_t jiter = 0; jiter < resultsKS[i].size(); jiter++) {
|
| 384 |
if (resultsKS[i].at(jiter).prob == 1.)
|
| 385 |
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS[i].at(jiter).prob << endl;
|
| 386 |
hKSvalues_[i]->SetBinContent(jiter,resultsKS[i].at(jiter).prob);
|
| 387 |
}
|
| 388 |
delete data;
|
| 389 |
}
|
| 390 |
double SF_QCD = 0.;
|
| 391 |
//calculate the final scale factors
|
| 392 |
if (!useIKSopt) {
|
| 393 |
SFbackg = sumSFbackg/allKS;
|
| 394 |
SFsample = sumSFsample/allKS;
|
| 395 |
SF_QCD = SFbackg*corr_NevQCD_NEW/corr_NevQCD;
|
| 396 |
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
|
| 397 |
outprint << "==> Scale Factor for QCD MC = " << SF_QCD << endl;
|
| 398 |
outprint << "\tcombined percent_B of Data = "
|
| 399 |
<< SFbackg*corr_NevQCD_NEW*100/NevData << endl;
|
| 400 |
outprint << "\tcombined percent_S of Data = "
|
| 401 |
<< SFsample*corr_NevWJets*100/NevData << endl;
|
| 402 |
outprint << "\n" << endl;
|
| 403 |
outprint << "=================================" << endl;
|
| 404 |
outprint << "\n" << endl;
|
| 405 |
} else {
|
| 406 |
testMC tksopt = getMaxL(resultsKS);
|
| 407 |
SFbackg = tksopt.scaleF_backg;
|
| 408 |
SFsample = tksopt.scaleF_sample;
|
| 409 |
SF_QCD = SFbackg*corr_NevQCD_NEW/corr_NevQCD;
|
| 410 |
outprint << "allKS (KSopt) = " << tksopt.prob
|
| 411 |
<< "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
|
| 412 |
outprint << "==> Scale Factor for QCD MC = " << SF_QCD << endl;
|
| 413 |
outprint << "\tcombined percent_B of Data = "
|
| 414 |
<< SFbackg*corr_NevQCD_NEW*100/NevData << endl;
|
| 415 |
outprint << "\tcombined percent_S of Data = "
|
| 416 |
<< SFsample*corr_NevWJets*100/NevData << endl;
|
| 417 |
outprint << "\n" << endl;
|
| 418 |
outprint << "=================================" << endl;
|
| 419 |
outprint << "\n" << endl;
|
| 420 |
|
| 421 |
for (size_t jiter = 0; jiter < resultsKS[0].size(); jiter++) {
|
| 422 |
double val_ = 1.;
|
| 423 |
for (size_t nvi = 0; nvi < nvars_; nvi++) {
|
| 424 |
val_ *= resultsKS[nvi].at(jiter).prob;
|
| 425 |
}
|
| 426 |
hKSvalues_[nvars_]->SetBinContent(jiter,val_);
|
| 427 |
//cout << "prod of IKS prob = " << val_ << endl;
|
| 428 |
}
|
| 429 |
}
|
| 430 |
|
| 431 |
//=================================
|
| 432 |
// Plots
|
| 433 |
//=================================
|
| 434 |
for (size_t i = 0; i < nvars_; i++) {// nvars_ variables
|
| 435 |
gStyle->SetErrorX(0.);
|
| 436 |
hKSres_[i] -> Add((TH1F*)hQCD_NEW[i]->Clone(),(TH1F*)hMC_[1][i]->Clone(),SFbackg,SFsample);
|
| 437 |
hKSres_[i] -> Add((TH1F*)hMC_[2][i]->Clone(),procTTbar);
|
| 438 |
hKSres_[i] -> Add((TH1F*)hMC_[3][i]->Clone(),procZJets);
|
| 439 |
hKSres_[i] -> Add((TH1F*)hMC_[4][i]->Clone(),procSTtch);
|
| 440 |
|
| 441 |
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
|
| 442 |
outprint << "Data->Integral() = " << hData_[i]->Integral() << endl;
|
| 443 |
|
| 444 |
hData_[i]->Rebin(2);
|
| 445 |
hQCD_NEW[i]->Rebin(2);
|
| 446 |
hMC_[0][i]->Rebin(2);
|
| 447 |
hMC_[1][i]->Rebin(2);
|
| 448 |
hKSres_[i]->Rebin(2);
|
| 449 |
//hKSvalues_[i]->Rebin(2);
|
| 450 |
|
| 451 |
// Stack Wjets and QCD after scaled by KS factors
|
| 452 |
if (useInv && plotInvSelShape) {
|
| 453 |
hQCD_KS[i] = (TH1F*) hQCD_NEW[i]->Clone();
|
| 454 |
hQCD_KS[i]->Scale(SFbackg);
|
| 455 |
}
|
| 456 |
else {// Use MC QCD
|
| 457 |
hQCD_KS[i] = (TH1F*) hMC_[0][i]->Clone();
|
| 458 |
hQCD_KS[i]->Scale(SF_QCD);
|
| 459 |
}
|
| 460 |
hQCD_KS[i]->SetLineColor(style.QCDColor);
|
| 461 |
hQCD_KS[i]->SetFillColor(style.QCDColor);
|
| 462 |
hQCD_KS[i]->SetFillStyle(style.QCDFill);
|
| 463 |
|
| 464 |
hWJets_KS[i] = (TH1F*) hMC_[1][i]->Clone();
|
| 465 |
hWJets_KS[i]->Scale(SFsample);
|
| 466 |
hWJets_KS[i]->SetLineColor(style.WJetsColor);
|
| 467 |
hWJets_KS[i]->SetFillColor(style.WJetsColor);
|
| 468 |
hWJets_KS[i]->SetFillStyle(style.WJetsFill);
|
| 469 |
|
| 470 |
if (procTTbar > 0.) {
|
| 471 |
hMC_[2][i]->Rebin(2);
|
| 472 |
hMC_[2][i]->SetLineColor(style.TtbarColor);
|
| 473 |
hMC_[2][i]->SetFillColor(style.TtbarColor);
|
| 474 |
hMC_[2][i]->SetFillStyle(style.TtbarFill);
|
| 475 |
}
|
| 476 |
if (procZJets > 0.) {
|
| 477 |
hMC_[3][i]->Rebin(2);
|
| 478 |
hMC_[3][i]->SetLineColor(style.DYZJetsColor);
|
| 479 |
hMC_[3][i]->SetFillColor(style.DYZJetsColor);
|
| 480 |
hMC_[3][i]->SetFillStyle(style.DYZJetsFill);
|
| 481 |
}
|
| 482 |
if (procSTtch > 0.) {
|
| 483 |
hMC_[4][i]->Rebin(2);
|
| 484 |
hMC_[4][i]->SetLineColor(style.ST_tColor);
|
| 485 |
hMC_[4][i]->SetFillColor(style.ST_tColor);
|
| 486 |
hMC_[4][i]->SetFillStyle(style.ST_tFill);
|
| 487 |
}
|
| 488 |
|
| 489 |
THStack *hst = new THStack(invName,invName);
|
| 490 |
hst->Add((TH1F*)hQCD_KS[i]->Clone());
|
| 491 |
if (procSTtch > 0) {
|
| 492 |
TH1F *tmp = (TH1F*) hMC_[4][i]->Clone();
|
| 493 |
tmp->Scale(procSTtch);
|
| 494 |
hst->Add(tmp);
|
| 495 |
}
|
| 496 |
if (procZJets > 0) {
|
| 497 |
TH1F *tmp = (TH1F*) hMC_[3][i]->Clone();
|
| 498 |
tmp->Scale(procZJets);
|
| 499 |
hst->Add(tmp);
|
| 500 |
}
|
| 501 |
hst->Add((TH1F*)hWJets_KS[i]->Clone());
|
| 502 |
if (procTTbar > 0) {
|
| 503 |
TH1F *tmp = (TH1F*) hMC_[2][i]->Clone();
|
| 504 |
tmp->Scale(procTTbar);
|
| 505 |
hst->Add(tmp);
|
| 506 |
}
|
| 507 |
|
| 508 |
// Set plotting parameters
|
| 509 |
hData_[i] ->SetLineColor(1);
|
| 510 |
hQCD_NEW[i] ->SetLineColor(2);
|
| 511 |
hMC_[0][i] ->SetLineColor(4);
|
| 512 |
hMC_[1][i] ->SetLineColor(3);
|
| 513 |
hKSres_[i] ->SetLineColor(9);
|
| 514 |
hKSvalues_[i]->SetLineColor(i+1);
|
| 515 |
|
| 516 |
hData_[i] ->SetMarkerColor(1);
|
| 517 |
hQCD_NEW[i] ->SetMarkerColor(2);
|
| 518 |
hMC_[0][i] ->SetMarkerColor(4);
|
| 519 |
hMC_[1][i] ->SetMarkerColor(3);
|
| 520 |
hKSres_[i] ->SetMarkerColor(9);
|
| 521 |
hKSvalues_[i]->SetMarkerColor(i+1);
|
| 522 |
|
| 523 |
hData_[i] ->SetMarkerStyle((realData ? 20 : 24));
|
| 524 |
hQCD_NEW[i] ->SetMarkerStyle(20);
|
| 525 |
hMC_[0][i] ->SetMarkerStyle(20);
|
| 526 |
hMC_[1][i] ->SetMarkerStyle(20);
|
| 527 |
hKSres_[i] ->SetMarkerStyle(20);
|
| 528 |
hKSvalues_[i]->SetMarkerStyle(20);
|
| 529 |
|
| 530 |
hData_[i] ->SetMarkerSize((realData ? 1.2 : 1.4));
|
| 531 |
hQCD_NEW[i] ->SetMarkerSize(1.1);
|
| 532 |
hMC_[0][i] ->SetMarkerSize(1.1);
|
| 533 |
hMC_[1][i] ->SetMarkerSize(1.1);
|
| 534 |
hKSres_[i] ->SetMarkerSize(1.18);
|
| 535 |
hKSvalues_[i]->SetMarkerSize(1.1);
|
| 536 |
|
| 537 |
hData_[i] ->SetStats(0);
|
| 538 |
hQCD_NEW[i] ->SetStats(0);
|
| 539 |
hMC_[0][i] ->SetStats(0);
|
| 540 |
hMC_[1][i] ->SetStats(0);
|
| 541 |
hKSres_[i] ->SetStats(0);
|
| 542 |
hKSvalues_[i]->SetStats(0);
|
| 543 |
hQCD_KS[i] ->SetStats(0);
|
| 544 |
hWJets_KS[i] ->SetStats(0);
|
| 545 |
|
| 546 |
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
| 547 |
hKSres_[i]->GetYaxis()->SetTitle("Events");
|
| 548 |
hKSvalues_[i]->GetXaxis()->SetTitle("#lambda_{wjets}");
|
| 549 |
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
|
| 550 |
hMC_[0][i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
| 551 |
hMC_[0][i]->GetYaxis()->SetTitle("A.U.");
|
| 552 |
|
| 553 |
TLatex* text1 = new TLatex(1., 1., "35 pb^{-1} at #sqrt{s} = 7 TeV");
|
| 554 |
text1->SetNDC();
|
| 555 |
text1->SetTextAlign(13);
|
| 556 |
text1->SetX(0.58);
|
| 557 |
text1->SetY(0.91);
|
| 558 |
text1->SetTextFont(42);
|
| 559 |
text1->SetTextSize(0.032);
|
| 560 |
text1->SetTextSizePixels(20);// dflt=28
|
| 561 |
|
| 562 |
// QCD shape comparison
|
| 563 |
TString cvsName1 = histoName[i]+"_QCD";
|
| 564 |
double val_Max_ = 0.;
|
| 565 |
|
| 566 |
if(useInv) cvsName1 = cvsName1 + "_" + invName;
|
| 567 |
cvsName1 += TString("_" + ssel_.str() + jbinNames[njbin] + "_" + jetName);
|
| 568 |
cvs[cvsName1] = new TCanvas(cvsName1,"");
|
| 569 |
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
|
| 570 |
hMC_[0][i] -> Scale(1./hMC_[0][i]->Integral());
|
| 571 |
hMC_[1][i] -> Scale(1./hMC_[1][i]->Integral());
|
| 572 |
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
|
| 573 |
<< hMC_[0][i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
|
| 574 |
|
| 575 |
hMC_[0][i]->GetXaxis()->SetLabelFont(42);
|
| 576 |
hMC_[0][i]->GetXaxis()->SetLabelSize(0.04);
|
| 577 |
hMC_[0][i]->GetXaxis()->SetTitleFont(42);
|
| 578 |
hMC_[0][i]->GetXaxis()->SetTitleSize(0.05);
|
| 579 |
hMC_[0][i]->GetXaxis()->SetTitleOffset(1.2);
|
| 580 |
hMC_[0][i]->GetYaxis()->SetLabelFont(42);
|
| 581 |
hMC_[0][i]->GetYaxis()->SetLabelSize(0.04);
|
| 582 |
hMC_[0][i]->GetYaxis()->SetTitleFont(42);
|
| 583 |
hMC_[0][i]->GetYaxis()->SetTitleSize(0.05);
|
| 584 |
hMC_[0][i]->GetYaxis()->SetTitleOffset(1.3);
|
| 585 |
// Get better Y range
|
| 586 |
Int_t nbMax = hMC_[0][i]->GetMaximumBin();
|
| 587 |
double tmpval = hMC_[0][i]->GetBinContent(nbMax) + hMC_[0][i]->GetBinError(nbMax);
|
| 588 |
val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
|
| 589 |
|
| 590 |
if (useInv) {
|
| 591 |
nbMax = hQCD_NEW[i]->GetMaximumBin();
|
| 592 |
tmpval = hQCD_NEW[i]->GetBinContent(nbMax) + hQCD_NEW[i]->GetBinError(nbMax);
|
| 593 |
val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
|
| 594 |
}
|
| 595 |
hMC_[0][i]->GetYaxis()->SetRangeUser(0.,(val_Max_ > 1. ? 1. : val_Max_));
|
| 596 |
if (histoName[i].Contains("mu_pt")) hMC_[0][i]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
|
| 597 |
if (histoName[i].Contains("met")) hMC_[0][i]->GetXaxis()->SetRange((size_t)findFirstBinAbove(0.,hData_[i]),xbins[i]);
|
| 598 |
hMC_[0][i]->DrawCopy("histe");
|
| 599 |
|
| 600 |
if (useInv)
|
| 601 |
hQCD_NEW[i]->DrawCopy("samehiste");
|
| 602 |
|
| 603 |
hMC_[1][i]->DrawCopy("samehiste");
|
| 604 |
TLegend *legend1 = new TLegend(0.58, 0.65, 0.92, 0.9);
|
| 605 |
legend1->SetFillColor(0);
|
| 606 |
legend1->SetFillStyle(0);
|
| 607 |
|
| 608 |
legend1->AddEntry(hMC_[0][i], "QCD");
|
| 609 |
if (useInv)
|
| 610 |
if (!realData) legend1->AddEntry(hQCD_NEW[i], TString("QCD (" + invLabels[ninv] + ")"));
|
| 611 |
else legend1->AddEntry(hQCD_NEW[i], TString("Data (" + invLabels[ninv]) + ")");
|
| 612 |
|
| 613 |
legend1->AddEntry(hMC_[1][i], style.WJetsText);
|
| 614 |
legend1->Draw();
|
| 615 |
legend1->SetFillColor(kWhite);
|
| 616 |
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
| 617 |
//cvs[cvsName1]->SetLogy();
|
| 618 |
TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix1_;
|
| 619 |
cvs[cvsName1]->SaveAs(nameCanvas1+".pdf");
|
| 620 |
cvs[cvsName1]->SaveAs(nameCanvas1+".png");
|
| 621 |
|
| 622 |
|
| 623 |
// KS results vs. (pseudo) Data
|
| 624 |
TString cvsName2 = histoName[i]+"_dataKS";
|
| 625 |
if(useInv) cvsName2 = cvsName2 + "_" + invName;
|
| 626 |
cvsName2 += TString("_" + ssel_.str() + jbinNames[njbin] + "_" + jetName);
|
| 627 |
cvs[cvsName2] = new TCanvas(cvsName2,"");
|
| 628 |
|
| 629 |
// Get better Y range
|
| 630 |
val_Max_ = 0.;
|
| 631 |
nbMax = hData_[i]->GetMaximumBin();
|
| 632 |
tmpval = hData_[i]->GetBinContent(nbMax) + hData_[i]->GetBinError(nbMax);
|
| 633 |
val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
|
| 634 |
nbMax = hKSres_[i]->GetMaximumBin();
|
| 635 |
tmpval = hKSres_[i]->GetBinContent(nbMax) + hKSres_[i]->GetBinError(nbMax);
|
| 636 |
val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
|
| 637 |
|
| 638 |
hData_[i]->GetYaxis()->SetRangeUser(0.,val_Max_);
|
| 639 |
|
| 640 |
if (histoName[i].Contains("mu_pt")) hData_[i]->GetXaxis()->SetRangeUser(20.,xhigh[i]);
|
| 641 |
if (histoName[i].Contains("met")) hData_[i]->GetXaxis()->SetRange((size_t)findFirstBinAbove(0.,hData_[i]),xbins[i]);
|
| 642 |
|
| 643 |
hData_[i]->Draw("P");
|
| 644 |
hst->Draw("samehist");
|
| 645 |
hKSres_[i]->Draw("samehiste");
|
| 646 |
hData_[i]->Draw("sameP");
|
| 647 |
TLegend *legend2 = new TLegend(0.56, 0.45, 0.9, 0.88);
|
| 648 |
legend2->AddEntry(hData_[i], (realData ? "Data" : "Pseudo Data"),"p");
|
| 649 |
legend2->AddEntry(hKSres_[i], "KS result");
|
| 650 |
if (procTTbar > 0.) legend2->AddEntry(hMC_[2][i], style.TtbarText);
|
| 651 |
legend2->AddEntry(hWJets_KS[i], style.WJetsText);
|
| 652 |
if (procZJets > 0.) legend2->AddEntry(hMC_[3][i], style.DYZJetsText);
|
| 653 |
if (procSTtch > 0.) legend2->AddEntry(hMC_[4][i], style.ST_tText);
|
| 654 |
if (realData)
|
| 655 |
legend2->AddEntry(hQCD_KS[i], ((!plotInvSelShape || !useInv) ? style.QCDText :
|
| 656 |
TString("#splitline{Data (" + invLabels[ninv] + ")}{Scaled by IKS}")));
|
| 657 |
else
|
| 658 |
legend2->AddEntry(hQCD_KS[i], ((!plotInvSelShape || !useInv) ? style.QCDText :
|
| 659 |
TString("QCD (" + invLabels[ninv] + ")")));
|
| 660 |
legend2->SetFillColor(0);
|
| 661 |
legend2->SetFillStyle(0);
|
| 662 |
legend2->Draw();
|
| 663 |
legend2->SetFillColor(kWhite);
|
| 664 |
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
| 665 |
//cvs[cvsName2]->SetLogy();
|
| 666 |
text1->Draw();
|
| 667 |
gPad->RedrawAxis();
|
| 668 |
TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix1_;
|
| 669 |
cvs[cvsName2]->SaveAs(nameCanvas2+".pdf");
|
| 670 |
cvs[cvsName2]->SaveAs(nameCanvas2+".png");
|
| 671 |
|
| 672 |
}
|
| 673 |
|
| 674 |
// KS fit results
|
| 675 |
TString cvsName3 = "KStestValues";
|
| 676 |
if(useInv) cvsName3 = cvsName3 + "_" + invName;
|
| 677 |
cvsName3 += TString("_" + ssel_.str() + jbinNames[njbin] + "_" + jetName);
|
| 678 |
cvs[cvsName3] = new TCanvas(cvsName3,"");
|
| 679 |
// Zoom-in
|
| 680 |
Int_t nbins_ = hKSvalues_[0]->GetNbinsX();;
|
| 681 |
Int_t nbMax_ = 1;
|
| 682 |
Int_t nbMin_ = nbins_;
|
| 683 |
double val_Min_ = 1.;
|
| 684 |
for (size_t i = 0; i < nvars_; ++i) {
|
| 685 |
Int_t tmp = findFirstBinAbove(yLowBound, hKSvalues_[i]);
|
| 686 |
val_Min_ = (hKSvalues_[i]->GetBinContent(tmp) < 0.8*val_Min_ ?
|
| 687 |
hKSvalues_[i]->GetBinContent(tmp) : 0.8*val_Min_);
|
| 688 |
nbMin_ = (nbMin_ < tmp ? nbMin_ : tmp);
|
| 689 |
tmp = findLastBinAbove(0., hKSvalues_[i]);
|
| 690 |
nbMax_ = (nbMax_ > tmp ? nbMax_ : tmp);
|
| 691 |
}
|
| 692 |
nbMin_ -= (0.1/stepsize);
|
| 693 |
nbMax_ += (0.1/stepsize);
|
| 694 |
|
| 695 |
hKSvalues_[0]->GetXaxis()->SetRange(nbMin_,nbMax_);
|
| 696 |
hKSvalues_[0]->GetYaxis()->SetRangeUser((1e-36 < val_Min_ ? val_Min_ : 1e-36),1.1);
|
| 697 |
hKSvalues_[0]->Draw();
|
| 698 |
if (nvars_ > 1)
|
| 699 |
for (size_t i = 1; i < nvars_; i++) {
|
| 700 |
hKSvalues_[i]->Draw("same");
|
| 701 |
}
|
| 702 |
|
| 703 |
TLegend *legend3 = new TLegend(0.2, (0.92-nvars_*0.07), 0.38, 0.92);
|
| 704 |
for (size_t i = 0; i < nvars_; i++)
|
| 705 |
legend3->AddEntry(hKSvalues_[i], TString(histoTitle[i]));
|
| 706 |
|
| 707 |
legend3->SetFillColor(0);
|
| 708 |
legend3->SetFillStyle(0);
|
| 709 |
legend3->Draw();
|
| 710 |
legend3->SetFillColor(kWhite);
|
| 711 |
//latex->DrawLatex(0.22,0.91,"KS test values");
|
| 712 |
cvs[cvsName3]->SetLogy();
|
| 713 |
TString nameCanvas3 = desDir+"KStestValues_newQCD_"+suffix1_;
|
| 714 |
cvs[cvsName3]->SaveAs(nameCanvas3+".pdf");
|
| 715 |
cvs[cvsName3]->SaveAs(nameCanvas3+".png");
|
| 716 |
|
| 717 |
// KSopt
|
| 718 |
if (useIKSopt) {
|
| 719 |
TString cvsName4 = "KStestValues";
|
| 720 |
if(useInv) cvsName4 = cvsName4 + "_" + invName;
|
| 721 |
cvsName4 += TString("_" + ssel_.str() + jbinNames[njbin] + "_" + jetName + "_KSopt");
|
| 722 |
|
| 723 |
cvs[cvsName4] = new TCanvas(cvsName4,"");
|
| 724 |
// Zoom-in
|
| 725 |
nbins_ = hKSvalues_[nvars_]->GetNbinsX();;
|
| 726 |
nbMax_ = 1;
|
| 727 |
nbMin_ = nbins_;
|
| 728 |
val_Min_ = 1.;
|
| 729 |
Int_t tmp = findFirstBinAbove(1.e-50, hKSvalues_[nvars_]);
|
| 730 |
val_Min_ = (hKSvalues_[nvars_]->GetBinContent(tmp) < 0.8*val_Min_ ?
|
| 731 |
hKSvalues_[nvars_]->GetBinContent(tmp) : 0.8*val_Min_);
|
| 732 |
nbMin_ = (nbMin_ < tmp ? nbMin_ : tmp);
|
| 733 |
tmp = findLastBinAbove(0., hKSvalues_[nvars_]);
|
| 734 |
nbMax_ = (nbMax_ > tmp ? nbMax_ : tmp);
|
| 735 |
nbMin_ -= (0.1/stepsize);
|
| 736 |
nbMax_ += (0.1/stepsize);
|
| 737 |
|
| 738 |
hKSvalues_[nvars_]->GetXaxis()->SetRange(nbMin_,nbMax_);
|
| 739 |
//hKSvalues_[nvars_]->GetYaxis()->SetRangeUser(1.e-100,1.e-50);
|
| 740 |
hKSvalues_[nvars_]->GetXaxis()->SetTitle("#lambda_{wjets}");
|
| 741 |
hKSvalues_[nvars_]->SetLineColor(4);
|
| 742 |
hKSvalues_[nvars_]->SetMarkerColor(4);
|
| 743 |
hKSvalues_[nvars_]->SetMarkerStyle(20);
|
| 744 |
hKSvalues_[nvars_]->SetMarkerSize(1.1);
|
| 745 |
hKSvalues_[nvars_]->SetStats(0);
|
| 746 |
hKSvalues_[nvars_]->Draw();
|
| 747 |
|
| 748 |
TLegend *legend4 = new TLegend(0.2, 0.75, 0.6, 0.93);
|
| 749 |
legend4->AddEntry(hKSvalues_[nvars_], "Product of KS test values");
|
| 750 |
legend4->SetFillColor(0);
|
| 751 |
legend4->SetFillStyle(0);
|
| 752 |
legend4->Draw();
|
| 753 |
legend4->SetFillColor(kWhite);
|
| 754 |
cvs[cvsName4]->SetLogy();
|
| 755 |
TString nameCanvas4 = desDir+"KStestValues_newQCD_"+suffix1_+"_KSopt";
|
| 756 |
cvs[cvsName4]->SaveAs(nameCanvas4+".pdf");
|
| 757 |
cvs[cvsName4]->SaveAs(nameCanvas4+".png");
|
| 758 |
}
|
| 759 |
} // End of njbin loop
|
| 760 |
} // End of nsel loop
|
| 761 |
} // End of ninv loop
|
| 762 |
}
|
