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jengbou |
1.1 |
#include "ikstest.h"
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#include "TopStyle/CMSTopStyle.cc"
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//=================================
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// Program to run IKS test
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// * Input directories:
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// * Data: skimmed_Data_x.xxpb-1
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// => default selection : Data_<suffix>.root
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// => n-1 selection : Data_<suffix>_<invName>.root
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// * MC : skimmed_MC {QCD,WJets,TTbar...}
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// => default selection : QCD_<suffix>.root
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// => n-1 selection : Data_<suffix>_<invName>.root
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// * Upmost output dir specified by <desDir>
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// subdirectory created according to <useInv> and <realData>
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// => <desDir'><xyz><suffix>.pdf (.txt)
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// * e.g. to do KS test on data with MC QCD shape in signal region:
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// useInv=false; realData=true
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//=================================
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using namespace std;
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//define the constants: 2.88/pb
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const Double_t weight_[5] = {0.0524313, //QCD
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0.0089567, //WJets
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0.000306, //TTbar
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0.0080911, //ZJets
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0.000114 //STtch
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};
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const Double_t procQCD = 1.46;
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const Double_t procWJets = 1.03;
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const Double_t procTTbar = 1.;
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const Double_t procZJets = 1.;
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const Double_t procSTtch = 1.;
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// Output directory
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jengbou |
1.3 |
TString baseDir = "Results_2.88pb-1_";
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jengbou |
1.4 |
TString jbinNames[] = {"Incl0","Incl1","Incl2","Incl3","Incl4","Excl0","Excl1","Excl2","Excl3"};
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TString postDir = "/";
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jengbou |
1.1 |
// User defined parameters
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jengbou |
1.3 |
bool realData = true;
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bool useInv = true; // whether to use n-1 QCD template
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bool plotInvSelShape = false; // whether to use shape from inverse selection for dataKS plots. Available when useInv is true
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jengbou |
1.4 |
bool useIKSopt = false;
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jengbou |
1.1 |
double yLowBound = 1.e-10;
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// Ntuples to use
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jengbou |
1.4 |
TString selNames[] = {"Sel0","Sel1","Sel2","Sel3","Sel4","Sel5"}; // Suffix of selection
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//TString selNames[] = {"Sel0"}; // Suffix of selection
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TString invNames[] = {"RelIsogt0p1","D0gt0p02","METlt10RelIsogt0p1"};
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TString invLabels[] = {"RelIso > 0.1","d_{0} > 0.02","#slash{E}_{T} < 10, RelIso > 0.1"};
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jengbou |
1.3 |
bool debug_ = false;
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jengbou |
1.4 |
bool UseOverflow = true;
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bool exclusive_ = false;
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bool overwriteAll = true;
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jengbou |
1.1 |
//=================================
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// Main program
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//=================================
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void ikstest() {
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CMSTopStyle style;
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gROOT->SetStyle("CMS");
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TLatex *latex = new TLatex();
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latex->SetNDC();
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jengbou |
1.4 |
int n_sels = sizeof(selNames)/sizeof(selNames[0]);
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int njbins_ = sizeof(jbinNames)/sizeof(jbinNames[0]);
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int size_ninv = (useInv ? sizeof(invNames)/sizeof(invNames[0]) : 1);
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// if (debug_) {
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cout << "size of selNames = " << n_sels << endl;
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cout << "size of jbinNames = " << njbins_ << endl;
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cout << "size of invNames = " << size_ninv << endl;
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// }
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for (int i = 0; i < njbins_; ++i){
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jengbou |
1.3 |
struct stat stbDir;
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jengbou |
1.4 |
TString tmpDir = baseDir + jbinNames[i] + postDir;
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jengbou |
1.3 |
if (stat(tmpDir,&stbDir)){
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cout << "Creating folder : " << tmpDir << endl;
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if (mkdir(tmpDir,0755) == -1){
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std::cerr << "Error creating folder" << endl;
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return;
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}
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jengbou |
1.1 |
}
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}
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for (int ninv = 0; ninv < size_ninv; ++ninv) {
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TString invName = invNames[ninv];
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for (int nsel = 0; nsel < n_sels; ++nsel) {
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jengbou |
1.3 |
ostringstream ssel_;
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ssel_ << nsel;
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TString suffix0_ = selNames[nsel];
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jengbou |
1.4 |
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jengbou |
1.1 |
//open the files with histograms
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map<string,TFile*> mfile;
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jengbou |
1.3 |
map<TString,TCanvas*> cvs; // map of usual histogram
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jengbou |
1.1 |
mfile.clear();
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jengbou |
1.3 |
cvs.clear();
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mfile["Data"] = TFile::Open(TString("skimmed_Data_2.88pb-1_M3/Data_"+suffix0_+".root"));
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jengbou |
1.1 |
// n-1 cuts
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if (useInv) {
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if (realData)
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jengbou |
1.3 |
mfile["InvSel"] = TFile::Open(TString("skimmed_Data_2.88pb-1_M3/Data_"+suffix0_+"_"+invName+".root"));
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jengbou |
1.1 |
else
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jengbou |
1.3 |
mfile["InvSel"] = TFile::Open(TString("skimmed_MC_M3/v5/QCD_"+suffix0_+"_"+invName+".root"));
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jengbou |
1.1 |
}
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// RefSel MC
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jengbou |
1.3 |
mfile["0"] = TFile::Open(TString("skimmed_MC_M3/v5/QCD_"+suffix0_+".root"));
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mfile["1"] = TFile::Open(TString("skimmed_MC_M3/v5/WJets_"+suffix0_+".root"));
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mfile["2"] = TFile::Open(TString("skimmed_MC_M3/v5/TTbar_"+suffix0_+".root"));
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mfile["3"] = TFile::Open(TString("skimmed_MC_M3/v5/ZJets_"+suffix0_+".root"));
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mfile["4"] = TFile::Open(TString("skimmed_MC_M3/v5/STtch_"+suffix0_+".root"));
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jengbou |
1.4 |
for (int njbin = 0; njbin < njbins_; ++njbin) {
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exclusive_ = false;
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if (jbinNames[njbin].Contains("Excl")) exclusive_ = true;
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char nthjbin_ = jbinNames[njbin](jbinNames[njbin].Length()-1);
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jengbou |
1.3 |
TString desDir;
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jengbou |
1.4 |
TString tmpDir = baseDir + jbinNames[njbin] + postDir;
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jengbou |
1.3 |
// create output directory
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if (!useInv) {
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if (!realData) desDir = tmpDir + "MC/";
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else desDir = tmpDir + "Data_MC/";
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} else {
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if (!realData) desDir = tmpDir + "MC_"+invName+"/";
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else desDir = tmpDir + "Data_"+invName+"/";
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}
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if (nsel == 0) {
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struct stat stDir;
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if (!stat(desDir,&stDir)){
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cout << "\nOutput folder \"" << desDir
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<< "\" exists! Continue to overwrite it? (enter to continue; 'q' for quit)" << endl;
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char incmd;
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jengbou |
1.4 |
if (overwriteAll) incmd='a';
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else cin.get(incmd);
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jengbou |
1.3 |
if (incmd == 'q') return;
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} else {
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cout << "Creating folder : " << desDir << endl;
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if (mkdir(desDir,0755) == -1){
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std::cerr << "Error creating folder" << endl;
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return;
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}
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}
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jengbou |
1.1 |
}
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jengbou |
1.4 |
TString suffix1_ = jbinNames[njbin] + "_" + selNames[nsel];
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jengbou |
1.1 |
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jengbou |
1.3 |
ofstream outprint(TString(desDir+"Results_"+suffix1_+".txt"));
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jengbou |
1.1 |
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jengbou |
1.3 |
//define histograms and related parameters
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string histoName[3] = {"h_mu_pt","h_met","h_mt"};
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jengbou |
1.4 |
string histoLabelX[3] = {"p_{T}^{#mu} [GeV/c]", "#slash{E}_{T} [GeV/c]", "M_{T}^{W} [GeV/c^{2}]"};
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//Histo binning
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jengbou |
1.3 |
Int_t xbins[3] = {20,20,40};
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Double_t xlow[3] = {0.,0.,0.};
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Double_t xhigh[3] = {100.,100.,200.};
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string sample[5] = {"QCD","WJets","TTbar","ZJets","STtch"};
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TH1F* hMC_[5][3]; // MC histograms
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TH1F* hData_[3]; // Data or mix MC
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TH1F* hQCD_NEW[3]; // InvSel QCD shape
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TH1F* hKSres_[3];
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TH1F* hKSvalues_[4];
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TH1F* hQCD_KS[3];
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TH1F* hWJets_KS[3];
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jengbou |
1.4 |
if (useIKSopt) hKSvalues_[3] = new TH1F(TString("productKSvalues_"+suffix1_),"",2./stepsize, stepsize, 2.+stepsize);
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string suffixj_ = "_";
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if (exclusive_) suffixj_ += "excl";
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jengbou |
1.3 |
//load the histograms from the root files
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for (int vi = 0; vi < 3; ++vi) {// 3 variables
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//cout << "file[" << vi << "] : " << endl;
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jengbou |
1.4 |
string nameNewHisto = "mix_"+histoName[vi]+suffixj_+nthjbin_;
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string nameNewHistoSFKS = "finalSF_"+histoName[vi]+suffixj_+nthjbin_;
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string nameNewHistoKSvalues = "KSvalues_"+histoLabelX[vi]+suffixj_+nthjbin_;
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jengbou |
1.3 |
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hData_[vi] = new TH1F(nameNewHisto.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]);
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hKSres_[vi] = new TH1F(nameNewHistoSFKS.c_str(),"",xbins[vi],xlow[vi],xhigh[vi]);
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hKSvalues_[vi] = new TH1F(nameNewHistoKSvalues.c_str(),"",2./stepsize, stepsize, 2.+stepsize);
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ostringstream svi_;
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svi_ << vi;
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if (!useInv) {//use QCD MC sample
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jengbou |
1.4 |
hQCD_NEW[vi] = (TH1F*) mfile["0"]->Get(TString(histoName[vi]+suffixj_+nthjbin_))->Clone();
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jengbou |
1.3 |
hQCD_NEW[vi] -> Scale(weight_[0]);
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jengbou |
1.4 |
hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+suffixj_+svi_.str()+"_"+nthjbin_));
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jengbou |
1.3 |
}
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else {
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jengbou |
1.4 |
hQCD_NEW[vi] = (TH1F*) mfile["InvSel"]->Get(TString(histoName[vi]+suffixj_+nthjbin_))->Clone();
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jengbou |
1.3 |
if (!realData) hQCD_NEW[vi] -> Scale(weight_[0]);
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| 194 |
jengbou |
1.4 |
hQCD_NEW[vi] -> SetName(TString("InvSel_"+histoName[vi]+suffixj_+svi_.str()+"_"+nthjbin_));
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jengbou |
1.3 |
}
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if (debug_) cout << "hQCD_NEW[" << vi << "] @ " << hQCD_NEW[vi] << endl;
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jengbou |
1.4 |
if (UseOverflow)
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hQCD_NEW[vi]->SetBinContent(xbins[vi],
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hQCD_NEW[vi]->GetBinContent(xbins[vi]+1)+
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hQCD_NEW[vi]->GetBinContent(xbins[vi]));
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jengbou |
1.1 |
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jengbou |
1.4 |
hData_[vi]->Sumw2();
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hKSres_[vi]->Sumw2();
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hKSvalues_[vi]->Sumw2();
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jengbou |
1.3 |
}
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for (int n = 0; n < 5; ++n) {// MC samples
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for (int ihisto = 0; ihisto < 3; ihisto++) {// 3 variables
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//cout << "Variable[" << ihisto << "]" << endl;
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jengbou |
1.4 |
string histo_name = histoName[ihisto]+suffixj_+nthjbin_+"_"+sample[n];
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jengbou |
1.3 |
ostringstream ss_;
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ss_ << n;
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jengbou |
1.4 |
//cout << TString(histoName[ihisto]+suffixj_+nthjbin_) << endl;
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hMC_[n][ihisto] = (TH1F*) mfile[ss_.str()]->Get(TString(histoName[ihisto]+suffixj_+nthjbin_))->Clone();
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if (UseOverflow)
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hMC_[n][ihisto]->SetBinContent(xbins[ihisto],
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hMC_[n][ihisto]->GetBinContent(xbins[ihisto]+1)+
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hMC_[n][ihisto]->GetBinContent(xbins[ihisto]));
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| 220 |
jengbou |
1.3 |
if (debug_) {
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| 221 |
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cout << "File[" << n << "] @" << mfile[ss_.str()]
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| 222 |
jengbou |
1.4 |
<< "; histo[" << ihisto << "] @ " << mfile[ss_.str()]->Get(TString(histoName[ihisto]+suffixj_+nthjbin_))
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| 223 |
jengbou |
1.3 |
<<"; hMC_[" << n << "][" << ihisto << "] raw evts = "
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| 224 |
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<< setw(12) << hMC_[n][ihisto]->Integral();
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| 225 |
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}
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| 226 |
jengbou |
1.4 |
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| 227 |
jengbou |
1.3 |
hMC_[n][ihisto] -> Scale(weight_[n]);
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| 228 |
jengbou |
1.4 |
hMC_[n][ihisto] -> SetName(TString("MC_"+sample[n]+"_"+histoName[ihisto]+suffixj_+nthjbin_));
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| 229 |
jengbou |
1.3 |
if (debug_) cout << "; weighted num evts = " << setw(8) << hMC_[n][ihisto]->Integral() << endl;
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| 230 |
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}
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| 231 |
jengbou |
1.1 |
}
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| 232 |
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| 233 |
jengbou |
1.3 |
//create the mixed samples = "data"
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| 234 |
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TString cvsName0 = "Data";
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| 235 |
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if (useInv) {
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| 236 |
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cvsName0 += "_";
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| 237 |
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cvsName0 += invName;
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| 238 |
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}
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| 239 |
jengbou |
1.4 |
cvsName0 += TString("_" + ssel_.str() + nthjbin_);
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| 240 |
jengbou |
1.3 |
cvs[cvsName0] = new TCanvas(cvsName0,"Data distributions",600,700);
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| 241 |
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cvs[cvsName0]->Divide(3,1);
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| 242 |
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for (int i = 0; i < 3; i++) {
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| 243 |
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cvs[cvsName0]->cd(i+1);
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| 244 |
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if (!realData) {
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| 245 |
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hData_[i] -> Add(hMC_[0][i],hMC_[1][i], procQCD,procWJets);
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| 246 |
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hData_[i] -> Add(hMC_[2][i], procTTbar);
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| 247 |
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hData_[i] -> Add(hMC_[3][i], procZJets);
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| 248 |
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hData_[i] -> Add(hMC_[4][i], procSTtch);
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| 249 |
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}
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| 250 |
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else {
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| 251 |
jengbou |
1.4 |
TH1F *htmp = (TH1F*) mfile["Data"]->Get(TString(histoName[i]+suffixj_+nthjbin_));
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| 252 |
jengbou |
1.3 |
hData_[i] -> Add(htmp,1.);
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| 253 |
jengbou |
1.4 |
if (UseOverflow)
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| 254 |
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hData_[i]->SetBinContent(xbins[i],
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| 255 |
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hData_[i]->GetBinContent(xbins[i]+1)+
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| 256 |
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hData_[i]->GetBinContent(xbins[i]));
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| 257 |
jengbou |
1.3 |
}
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| 258 |
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hData_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
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| 259 |
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hData_[i]->GetYaxis()->SetTitle("Events");
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| 260 |
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if (i == 0) // mu pT plot
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| 261 |
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hData_[0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
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| 262 |
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hData_[i]->DrawClone("hist");
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| 263 |
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}
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| 264 |
jengbou |
1.4 |
cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions_"+selNames[nsel]+".pdf"));
|
| 265 |
|
|
cvs[cvsName0]->SaveAs(TString(desDir+"Data_distributions_"+selNames[nsel]+".png"));
|
| 266 |
jengbou |
1.3 |
|
| 267 |
|
|
//Calculate num of events for each sample
|
| 268 |
|
|
vector<double> vNev_;
|
| 269 |
jengbou |
1.4 |
double errNevt[8];
|
| 270 |
|
|
double NevData = hData_[2]->IntegralAndError(1,xbins[2],errNevt[0]);
|
| 271 |
|
|
double corr_NevQCD = hMC_[0][2]->IntegralAndError(1,xbins[2],errNevt[1]);
|
| 272 |
|
|
double corr_NevQCD_NEW = hQCD_NEW[2]->IntegralAndError(1,xbins[2],errNevt[2]);
|
| 273 |
|
|
double corr_NevWJets = hMC_[1][2]->IntegralAndError(1,xbins[2],errNevt[3]);
|
| 274 |
|
|
double corr_NevTTbar = hMC_[2][2]->IntegralAndError(1,xbins[2],errNevt[4]);
|
| 275 |
|
|
double corr_NevZJets = hMC_[3][2]->IntegralAndError(1,xbins[2],errNevt[5]);
|
| 276 |
|
|
double corr_NevSTtch = hMC_[4][2]->IntegralAndError(1,xbins[2],errNevt[6]);
|
| 277 |
|
|
cout << "corr_NevSTtch = " << corr_NevSTtch << endl;
|
| 278 |
|
|
double corr_Nevmix = corr_NevQCD + corr_NevWJets + corr_NevTTbar
|
| 279 |
|
|
+ corr_NevZJets + corr_NevSTtch;//should equal NevData for MC
|
| 280 |
|
|
errNevt[7] = sqrt(errNevt[1]*errNevt[1]+errNevt[3]*errNevt[3]+errNevt[4]*errNevt[4]+
|
| 281 |
|
|
errNevt[5]*errNevt[5]+errNevt[6]*errNevt[6]);
|
| 282 |
jengbou |
1.3 |
|
| 283 |
|
|
// store nev in a vector
|
| 284 |
|
|
vNev_.push_back(NevData);
|
| 285 |
|
|
vNev_.push_back((useInv ? corr_NevQCD_NEW : corr_NevQCD));
|
| 286 |
|
|
vNev_.push_back(corr_NevWJets);
|
| 287 |
|
|
|
| 288 |
|
|
// Non WJets (use MC expected values):
|
| 289 |
|
|
if (procTTbar > 0.) vNev_.push_back(corr_NevTTbar*procTTbar);
|
| 290 |
|
|
if (procZJets > 0.) vNev_.push_back(corr_NevZJets*procZJets);
|
| 291 |
|
|
if (procSTtch > 0.) vNev_.push_back(corr_NevSTtch*procSTtch);
|
| 292 |
|
|
|
| 293 |
jengbou |
1.4 |
outprint << "Events in Data = " << NevData << " +/- " << errNevt[0] << endl;
|
| 294 |
|
|
outprint << "Events QCD sample = " << corr_NevQCD << " +/- " << errNevt[1] << endl;
|
| 295 |
|
|
outprint << "Events InvSel sample = " << corr_NevQCD_NEW << " +/- " << errNevt[2] << endl;
|
| 296 |
jengbou |
1.3 |
outprint << "---------------------------" << endl;
|
| 297 |
jengbou |
1.4 |
outprint << "Events WJets sample = " << corr_NevWJets << " +/- " << errNevt[3] << endl;
|
| 298 |
|
|
outprint << "Events TTbar sample = " << corr_NevTTbar << " +/- " << errNevt[4] << endl;
|
| 299 |
|
|
outprint << "Events ZJets sample = " << corr_NevZJets << " +/- " << errNevt[5] << endl;
|
| 300 |
|
|
outprint << "Events STtch sample = " << corr_NevSTtch << " +/- " << errNevt[6] << endl;
|
| 301 |
|
|
outprint << "Total MC Events = " << corr_Nevmix << " +/- " << errNevt[7] << endl;
|
| 302 |
jengbou |
1.3 |
|
| 303 |
|
|
//define the containers for chosen numbers (coressponding to the max KStest result)
|
| 304 |
|
|
testMC maxProb[3];
|
| 305 |
|
|
|
| 306 |
|
|
//define the scale factors calculated using information obtained from all parameters
|
| 307 |
|
|
Double_t SFbackg = 0.0;
|
| 308 |
|
|
Double_t sumSFbackg = 0.0;
|
| 309 |
|
|
Double_t SFsample = 0.0;
|
| 310 |
|
|
Double_t sumSFsample = 0.0;
|
| 311 |
|
|
Double_t allKS = 0.0;
|
| 312 |
|
|
|
| 313 |
|
|
vector<testMC> resultsKS[3];
|
| 314 |
|
|
//do the KS test by varying the scale factors
|
| 315 |
|
|
for (int i = 0; i < 3; i++) { // 3 variables
|
| 316 |
|
|
TH1F *data = (TH1F*)hData_[i]->Clone("data");
|
| 317 |
|
|
data -> SetName("dataClone");
|
| 318 |
|
|
map<string,TH1F*> mHisto_;
|
| 319 |
|
|
mHisto_.clear();
|
| 320 |
|
|
mHisto_["Data"] = data;
|
| 321 |
|
|
mHisto_["QCD"] = (useInv ? (TH1F*)hQCD_NEW[i]->Clone() : (TH1F*)hMC_[0][i]->Clone());
|
| 322 |
|
|
mHisto_["WJets"] = (TH1F*)hMC_[1][i]->Clone();//WJets
|
| 323 |
|
|
if (procTTbar > 0.) {
|
| 324 |
|
|
mHisto_["TTbar"] = (TH1F*)hMC_[2][i]->Clone();
|
| 325 |
|
|
mHisto_["TTbar"]->Scale(procTTbar);
|
| 326 |
|
|
}
|
| 327 |
|
|
if (procZJets > 0.) {
|
| 328 |
|
|
mHisto_["ZJets"] = (TH1F*)hMC_[3][i]->Clone();
|
| 329 |
|
|
mHisto_["ZJets"]->Scale(procZJets);
|
| 330 |
|
|
}
|
| 331 |
|
|
if (procSTtch > 0.) {
|
| 332 |
|
|
mHisto_["STtch"] = (TH1F*)hMC_[4][i]->Clone();
|
| 333 |
|
|
mHisto_["STtch"]->Scale(procSTtch);
|
| 334 |
|
|
}
|
| 335 |
jengbou |
1.2 |
|
| 336 |
jengbou |
1.3 |
//data -> Scale(1./data->Integral());
|
| 337 |
|
|
resultsKS[i] = doKStest(vNev_,mHisto_);
|
| 338 |
|
|
testMC tksmax = getMax(resultsKS[i]);
|
| 339 |
|
|
maxProb[i] = tksmax;
|
| 340 |
|
|
outprint << "\nFor the plot " << histoLabelX[i] << " the results are:"<< endl;
|
| 341 |
|
|
outprint << "\tmax Probability = " << maxProb[i].prob << endl;
|
| 342 |
|
|
outprint << "\tproc_background = " << maxProb[i].scaleF_backg << endl;
|
| 343 |
|
|
outprint << "\tproc_sample = " << maxProb[i].scaleF_sample << endl;
|
| 344 |
|
|
|
| 345 |
|
|
outprint << "\n\tpercent_B of Data = "
|
| 346 |
|
|
<< maxProb[i].scaleF_backg*corr_NevQCD_NEW*100/NevData << endl;
|
| 347 |
|
|
outprint << "\tpercent_S of Data = "
|
| 348 |
|
|
<< maxProb[i].scaleF_sample*corr_NevWJets*100/NevData << endl;
|
| 349 |
|
|
outprint << "---------------------------" << endl;
|
| 350 |
|
|
|
| 351 |
|
|
//create the mixed samples with KS test results
|
| 352 |
|
|
sumSFbackg += maxProb[i].prob*maxProb[i].scaleF_backg;
|
| 353 |
|
|
sumSFsample += maxProb[i].prob*maxProb[i].scaleF_sample;
|
| 354 |
|
|
allKS += maxProb[i].prob;
|
| 355 |
|
|
|
| 356 |
|
|
//fill a histogram with the results from the KS test for each variable
|
| 357 |
|
|
for (unsigned int jiter = 0; jiter < resultsKS[i].size(); jiter++) {
|
| 358 |
|
|
if (resultsKS[i].at(jiter).prob == 1.)
|
| 359 |
|
|
cout << "variable [" << i << "]: prob[" << jiter << "]= " << resultsKS[i].at(jiter).prob << endl;
|
| 360 |
|
|
hKSvalues_[i]->SetBinContent(jiter,resultsKS[i].at(jiter).prob);
|
| 361 |
|
|
}
|
| 362 |
|
|
delete data;
|
| 363 |
jengbou |
1.2 |
}
|
| 364 |
jengbou |
1.1 |
|
| 365 |
jengbou |
1.3 |
double SF_QCD = 0.;
|
| 366 |
|
|
//calculate the final scale factors
|
| 367 |
|
|
if (!useIKSopt) {
|
| 368 |
|
|
SFbackg = sumSFbackg/allKS;
|
| 369 |
|
|
SFsample = sumSFsample/allKS;
|
| 370 |
|
|
SF_QCD = SFbackg*corr_NevQCD_NEW/corr_NevQCD;
|
| 371 |
|
|
outprint << "allKS = " << allKS << "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
|
| 372 |
|
|
outprint << "==> Scale Factor for QCD MC = " << SF_QCD << endl;
|
| 373 |
|
|
outprint << "\tcombined percent_B of Data = "
|
| 374 |
|
|
<< SFbackg*corr_NevQCD_NEW*100/NevData << endl;
|
| 375 |
|
|
outprint << "\tcombined percent_S of Data = "
|
| 376 |
|
|
<< SFsample*corr_NevWJets*100/NevData << endl;
|
| 377 |
|
|
outprint << "\n" << endl;
|
| 378 |
|
|
outprint << "=================================" << endl;
|
| 379 |
|
|
outprint << "\n" << endl;
|
| 380 |
|
|
} else {
|
| 381 |
|
|
testMC tksopt = getMaxL(resultsKS);
|
| 382 |
|
|
SFbackg = tksopt.scaleF_backg;
|
| 383 |
|
|
SFsample = tksopt.scaleF_sample;
|
| 384 |
|
|
SF_QCD = SFbackg*corr_NevQCD_NEW/corr_NevQCD;
|
| 385 |
|
|
outprint << "allKS (KSopt) = " << tksopt.prob
|
| 386 |
|
|
<< "\tbackground = " << SFbackg << "\tsample = " << SFsample << endl;
|
| 387 |
|
|
outprint << "==> Scale Factor for QCD MC = " << SF_QCD << endl;
|
| 388 |
|
|
outprint << "\tcombined percent_B of Data = "
|
| 389 |
|
|
<< SFbackg*corr_NevQCD_NEW*100/NevData << endl;
|
| 390 |
|
|
outprint << "\tcombined percent_S of Data = "
|
| 391 |
|
|
<< SFsample*corr_NevWJets*100/NevData << endl;
|
| 392 |
|
|
outprint << "\n" << endl;
|
| 393 |
|
|
outprint << "=================================" << endl;
|
| 394 |
|
|
outprint << "\n" << endl;
|
| 395 |
|
|
|
| 396 |
|
|
for (unsigned int jiter = 0; jiter < resultsKS[0].size(); jiter++) {
|
| 397 |
|
|
double val_ = resultsKS[0].at(jiter).prob*resultsKS[1].at(jiter).prob*resultsKS[2].at(jiter).prob;
|
| 398 |
|
|
hKSvalues_[3]->SetBinContent(jiter,val_);
|
| 399 |
|
|
}
|
| 400 |
|
|
}
|
| 401 |
jengbou |
1.1 |
|
| 402 |
jengbou |
1.3 |
//=================================
|
| 403 |
|
|
// Plots
|
| 404 |
|
|
//=================================
|
| 405 |
|
|
for (int i = 0; i < 3; i++) {// 3 variables
|
| 406 |
|
|
gStyle->SetErrorX(0.);
|
| 407 |
|
|
hKSres_[i] -> Add((TH1F*)hQCD_NEW[i]->Clone(),(TH1F*)hMC_[1][i]->Clone(),SFbackg,SFsample);
|
| 408 |
|
|
hKSres_[i] -> Add((TH1F*)hMC_[2][i]->Clone(),procTTbar);
|
| 409 |
|
|
hKSres_[i] -> Add((TH1F*)hMC_[3][i]->Clone(),procZJets);
|
| 410 |
|
|
hKSres_[i] -> Add((TH1F*)hMC_[4][i]->Clone(),procSTtch);
|
| 411 |
|
|
|
| 412 |
|
|
outprint << "hKSres->Integral() = " << hKSres_[i]->Integral() << endl;
|
| 413 |
|
|
outprint << "Data->Integral() = " << hData_[i]->Integral() << endl;
|
| 414 |
|
|
|
| 415 |
|
|
hData_[i]->Rebin(2);
|
| 416 |
|
|
hQCD_NEW[i]->Rebin(2);
|
| 417 |
|
|
hMC_[0][i]->Rebin(2);
|
| 418 |
|
|
hMC_[1][i]->Rebin(2);
|
| 419 |
|
|
hKSres_[i]->Rebin(2);
|
| 420 |
|
|
//hKSvalues_[i]->Rebin(2);
|
| 421 |
|
|
|
| 422 |
|
|
// Stack Wjets and QCD after scaled by KS factors
|
| 423 |
|
|
if (useInv && plotInvSelShape) {
|
| 424 |
|
|
hQCD_KS[i] = (TH1F*) hQCD_NEW[i]->Clone();
|
| 425 |
|
|
hQCD_KS[i]->Scale(SFbackg);
|
| 426 |
|
|
}
|
| 427 |
|
|
else {// Use MC QCD
|
| 428 |
|
|
hQCD_KS[i] = (TH1F*) hMC_[0][i]->Clone();
|
| 429 |
|
|
hQCD_KS[i]->Scale(SF_QCD);
|
| 430 |
|
|
}
|
| 431 |
|
|
hQCD_KS[i]->SetLineColor(style.QCDColor);
|
| 432 |
|
|
hQCD_KS[i]->SetFillColor(style.QCDColor);
|
| 433 |
|
|
hQCD_KS[i]->SetFillStyle(style.QCDFill);
|
| 434 |
|
|
|
| 435 |
|
|
hWJets_KS[i] = (TH1F*) hMC_[1][i]->Clone();
|
| 436 |
|
|
hWJets_KS[i]->Scale(SFsample);
|
| 437 |
|
|
hWJets_KS[i]->SetLineColor(style.WJetsColor);
|
| 438 |
|
|
hWJets_KS[i]->SetFillColor(style.WJetsColor);
|
| 439 |
|
|
hWJets_KS[i]->SetFillStyle(style.WJetsFill);
|
| 440 |
|
|
|
| 441 |
|
|
if (procTTbar > 0.) {
|
| 442 |
|
|
hMC_[2][i]->Rebin(2);
|
| 443 |
|
|
hMC_[2][i]->SetLineColor(style.TtbarColor);
|
| 444 |
|
|
hMC_[2][i]->SetFillColor(style.TtbarColor);
|
| 445 |
|
|
hMC_[2][i]->SetFillStyle(style.TtbarFill);
|
| 446 |
|
|
}
|
| 447 |
|
|
if (procZJets > 0.) {
|
| 448 |
|
|
hMC_[3][i]->Rebin(2);
|
| 449 |
|
|
hMC_[3][i]->SetLineColor(style.DYZJetsColor);
|
| 450 |
|
|
hMC_[3][i]->SetFillColor(style.DYZJetsColor);
|
| 451 |
|
|
hMC_[3][i]->SetFillStyle(style.DYZJetsFill);
|
| 452 |
|
|
}
|
| 453 |
|
|
if (procSTtch > 0.) {
|
| 454 |
|
|
hMC_[4][i]->Rebin(2);
|
| 455 |
|
|
hMC_[4][i]->SetLineColor(style.ST_tColor);
|
| 456 |
|
|
hMC_[4][i]->SetFillColor(style.ST_tColor);
|
| 457 |
|
|
hMC_[4][i]->SetFillStyle(style.ST_tFill);
|
| 458 |
|
|
}
|
| 459 |
jengbou |
1.1 |
|
| 460 |
jengbou |
1.3 |
THStack *hst = new THStack(invName,invName);
|
| 461 |
|
|
hst->Add((TH1F*)hQCD_KS[i]->Clone());
|
| 462 |
|
|
if (procSTtch > 0) {
|
| 463 |
|
|
TH1F *tmp = (TH1F*) hMC_[4][i]->Clone();
|
| 464 |
|
|
tmp->Scale(procSTtch);
|
| 465 |
|
|
hst->Add(tmp);
|
| 466 |
|
|
}
|
| 467 |
|
|
if (procZJets > 0) {
|
| 468 |
|
|
TH1F *tmp = (TH1F*) hMC_[3][i]->Clone();
|
| 469 |
|
|
tmp->Scale(procZJets);
|
| 470 |
|
|
hst->Add(tmp);
|
| 471 |
|
|
}
|
| 472 |
|
|
hst->Add((TH1F*)hWJets_KS[i]->Clone());
|
| 473 |
|
|
if (procTTbar > 0) {
|
| 474 |
|
|
TH1F *tmp = (TH1F*) hMC_[2][i]->Clone();
|
| 475 |
|
|
tmp->Scale(procTTbar);
|
| 476 |
|
|
hst->Add(tmp);
|
| 477 |
|
|
}
|
| 478 |
jengbou |
1.1 |
|
| 479 |
jengbou |
1.3 |
// Set plotting parameters
|
| 480 |
|
|
hData_[i] ->SetLineColor(1);
|
| 481 |
|
|
hQCD_NEW[i] ->SetLineColor(2);
|
| 482 |
|
|
hMC_[0][i] ->SetLineColor(4);
|
| 483 |
|
|
hMC_[1][i] ->SetLineColor(3);
|
| 484 |
|
|
hKSres_[i] ->SetLineColor(9);
|
| 485 |
|
|
hKSvalues_[i]->SetLineColor(i+1);
|
| 486 |
|
|
|
| 487 |
|
|
hData_[i] ->SetMarkerColor(1);
|
| 488 |
|
|
hQCD_NEW[i] ->SetMarkerColor(2);
|
| 489 |
|
|
hMC_[0][i] ->SetMarkerColor(4);
|
| 490 |
|
|
hMC_[1][i] ->SetMarkerColor(3);
|
| 491 |
|
|
hKSres_[i] ->SetMarkerColor(9);
|
| 492 |
|
|
hKSvalues_[i]->SetMarkerColor(i+1);
|
| 493 |
|
|
|
| 494 |
|
|
hData_[i] ->SetMarkerStyle((realData ? 20 : 24));
|
| 495 |
|
|
hQCD_NEW[i] ->SetMarkerStyle(20);
|
| 496 |
|
|
hMC_[0][i] ->SetMarkerStyle(20);
|
| 497 |
|
|
hMC_[1][i] ->SetMarkerStyle(20);
|
| 498 |
|
|
hKSres_[i] ->SetMarkerStyle(20);
|
| 499 |
|
|
hKSvalues_[i]->SetMarkerStyle(20);
|
| 500 |
|
|
|
| 501 |
|
|
hData_[i] ->SetMarkerSize((realData ? 1.2 : 1.4));
|
| 502 |
|
|
hQCD_NEW[i] ->SetMarkerSize(1.1);
|
| 503 |
|
|
hMC_[0][i] ->SetMarkerSize(1.1);
|
| 504 |
|
|
hMC_[1][i] ->SetMarkerSize(1.1);
|
| 505 |
|
|
hKSres_[i] ->SetMarkerSize(1.18);
|
| 506 |
|
|
hKSvalues_[i]->SetMarkerSize(1.1);
|
| 507 |
|
|
|
| 508 |
|
|
hData_[i] ->SetStats(0);
|
| 509 |
|
|
hQCD_NEW[i] ->SetStats(0);
|
| 510 |
|
|
hMC_[0][i] ->SetStats(0);
|
| 511 |
|
|
hMC_[1][i] ->SetStats(0);
|
| 512 |
|
|
hKSres_[i] ->SetStats(0);
|
| 513 |
|
|
hKSvalues_[i]->SetStats(0);
|
| 514 |
|
|
hQCD_KS[i] ->SetStats(0);
|
| 515 |
|
|
hWJets_KS[i] ->SetStats(0);
|
| 516 |
|
|
|
| 517 |
|
|
hKSres_[i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
| 518 |
|
|
hKSres_[i]->GetYaxis()->SetTitle("Events");
|
| 519 |
|
|
hKSvalues_[i]->GetXaxis()->SetTitle("#lambda_{wjets}");
|
| 520 |
|
|
hKSvalues_[i]->GetYaxis()->SetTitle("KS test values");
|
| 521 |
|
|
hMC_[0][i]->GetXaxis()->SetTitle(histoLabelX[i].c_str());
|
| 522 |
|
|
hMC_[0][i]->GetYaxis()->SetTitle("A.U.");
|
| 523 |
|
|
|
| 524 |
|
|
TLatex* text1 = new TLatex(1., 1., "2.88 pb^{-1} at #sqrt{s} = 7 TeV");
|
| 525 |
|
|
text1->SetNDC();
|
| 526 |
|
|
text1->SetTextAlign(13);
|
| 527 |
|
|
text1->SetX(0.63);
|
| 528 |
|
|
text1->SetY(0.91);
|
| 529 |
|
|
text1->SetTextFont(42);
|
| 530 |
|
|
text1->SetTextSize(0.03);
|
| 531 |
|
|
text1->SetTextSizePixels(20);// dflt=28
|
| 532 |
|
|
|
| 533 |
|
|
// QCD shape comparison
|
| 534 |
|
|
TString cvsName1 = histoName[i]+"_QCD";
|
| 535 |
|
|
double val_Max_ = 0.;
|
| 536 |
|
|
|
| 537 |
|
|
if(useInv) cvsName1 = cvsName1 + "_" + invName;
|
| 538 |
jengbou |
1.4 |
cvsName1 += TString("_" + ssel_.str() + nthjbin_);
|
| 539 |
jengbou |
1.3 |
cvs[cvsName1] = new TCanvas(cvsName1,"",600,700);
|
| 540 |
|
|
hQCD_NEW[i] -> Scale(1./hQCD_NEW[i]->Integral());
|
| 541 |
|
|
hMC_[0][i] -> Scale(1./hMC_[0][i]->Integral());
|
| 542 |
|
|
hMC_[1][i] -> Scale(1./hMC_[1][i]->Integral());
|
| 543 |
|
|
outprint << "For " << histoName[i] << " , the KStest result btw MC_QCD/InvSel is = "
|
| 544 |
|
|
<< hMC_[0][i] -> KolmogorovTest(hQCD_NEW[i],"") << endl;
|
| 545 |
|
|
|
| 546 |
|
|
hMC_[0][i]->GetXaxis()->SetLabelFont(42);
|
| 547 |
|
|
hMC_[0][i]->GetXaxis()->SetLabelSize(0.04);
|
| 548 |
|
|
hMC_[0][i]->GetXaxis()->SetTitleFont(42);
|
| 549 |
|
|
hMC_[0][i]->GetXaxis()->SetTitleSize(0.05);
|
| 550 |
|
|
hMC_[0][i]->GetXaxis()->SetTitleOffset(1.2);
|
| 551 |
|
|
hMC_[0][i]->GetYaxis()->SetLabelFont(42);
|
| 552 |
|
|
hMC_[0][i]->GetYaxis()->SetLabelSize(0.04);
|
| 553 |
|
|
hMC_[0][i]->GetYaxis()->SetTitleFont(42);
|
| 554 |
|
|
hMC_[0][i]->GetYaxis()->SetTitleSize(0.05);
|
| 555 |
|
|
hMC_[0][i]->GetYaxis()->SetTitleOffset(1.3);
|
| 556 |
|
|
// Get better Y range
|
| 557 |
|
|
Int_t nbMax = hMC_[0][i]->GetMaximumBin();
|
| 558 |
|
|
double tmpval = hMC_[0][i]->GetBinContent(nbMax) + hMC_[0][i]->GetBinError(nbMax);
|
| 559 |
|
|
val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
|
| 560 |
jengbou |
1.1 |
|
| 561 |
jengbou |
1.3 |
if (useInv) {
|
| 562 |
|
|
nbMax = hQCD_NEW[i]->GetMaximumBin();
|
| 563 |
|
|
tmpval = hQCD_NEW[i]->GetBinContent(nbMax) + hQCD_NEW[i]->GetBinError(nbMax);
|
| 564 |
|
|
val_Max_ = (val_Max_ > 1.2*tmpval ? val_Max_ : 1.2*tmpval);
|
| 565 |
|
|
}
|
| 566 |
|
|
hMC_[0][i]->GetYaxis()->SetRangeUser(0.,(val_Max_ > 1. ? 1. : val_Max_));
|
| 567 |
|
|
if (i == 0) // mu pT plot
|
| 568 |
|
|
hMC_[0][0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
|
| 569 |
|
|
hMC_[0][i]->DrawCopy("histe");
|
| 570 |
|
|
|
| 571 |
|
|
if (useInv)
|
| 572 |
|
|
hQCD_NEW[i]->DrawCopy("samehiste");
|
| 573 |
|
|
|
| 574 |
|
|
hMC_[1][i]->DrawCopy("samehiste");
|
| 575 |
|
|
TLegend *legend1 = new TLegend(0.6, 0.65, 0.92, 0.9);
|
| 576 |
|
|
legend1->SetFillColor(0);
|
| 577 |
|
|
legend1->SetFillStyle(0);
|
| 578 |
|
|
|
| 579 |
|
|
legend1->AddEntry(hMC_[0][i], "QCD");
|
| 580 |
|
|
if (useInv)
|
| 581 |
|
|
if (!realData) legend1->AddEntry(hQCD_NEW[i], TString("QCD (" + invLabels[ninv] + ")"));
|
| 582 |
|
|
else legend1->AddEntry(hQCD_NEW[i], TString("Data (" + invLabels[ninv]) + ")");
|
| 583 |
|
|
|
| 584 |
|
|
legend1->AddEntry(hMC_[1][i], style.WJetsText);
|
| 585 |
|
|
legend1->Draw();
|
| 586 |
|
|
legend1->SetFillColor(kWhite);
|
| 587 |
|
|
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
| 588 |
|
|
//cvs[cvsName1]->SetLogy();
|
| 589 |
|
|
TString nameCanvas1 = desDir+histoName[i]+"_QCD_"+suffix1_;
|
| 590 |
|
|
cvs[cvsName1]->SaveAs(nameCanvas1+".pdf");
|
| 591 |
|
|
cvs[cvsName1]->SaveAs(nameCanvas1+".png");
|
| 592 |
|
|
|
| 593 |
|
|
|
| 594 |
|
|
// KS results vs. (pseudo) Data
|
| 595 |
|
|
TString cvsName2 = histoName[i]+"_dataKS";
|
| 596 |
|
|
if(useInv) cvsName2 = cvsName2 + "_" + invName;
|
| 597 |
jengbou |
1.4 |
cvsName2 += TString("_" + ssel_.str() + nthjbin_);
|
| 598 |
jengbou |
1.3 |
cvs[cvsName2] = new TCanvas(cvsName2,"",600,700);
|
| 599 |
|
|
|
| 600 |
|
|
// Get better Y range
|
| 601 |
|
|
val_Max_ = 0.;
|
| 602 |
|
|
nbMax = hData_[i]->GetMaximumBin();
|
| 603 |
|
|
tmpval = hData_[i]->GetBinContent(nbMax) + hData_[i]->GetBinError(nbMax);
|
| 604 |
|
|
val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
|
| 605 |
|
|
nbMax = hKSres_[i]->GetMaximumBin();
|
| 606 |
|
|
tmpval = hKSres_[i]->GetBinContent(nbMax) + hKSres_[i]->GetBinError(nbMax);
|
| 607 |
|
|
val_Max_ = (val_Max_ > 1.05*tmpval ? val_Max_ : 1.05*tmpval);
|
| 608 |
|
|
|
| 609 |
|
|
hData_[i]->GetYaxis()->SetRangeUser(0.,val_Max_);
|
| 610 |
|
|
|
| 611 |
|
|
if (i == 0) // mu pT plot
|
| 612 |
|
|
hData_[0]->GetXaxis()->SetRangeUser(20.,xhigh[0]);
|
| 613 |
|
|
hData_[i]->Draw("P");
|
| 614 |
|
|
hst->Draw("samehist");
|
| 615 |
|
|
hKSres_[i]->Draw("samehiste");
|
| 616 |
|
|
hData_[i]->Draw("sameP");
|
| 617 |
|
|
TLegend *legend2 = new TLegend(0.7, 0.64, 0.9, 0.88);
|
| 618 |
|
|
legend2->AddEntry(hData_[i], (realData ? "Data" : "Pseudo Data"),"p");
|
| 619 |
|
|
legend2->AddEntry(hKSres_[i], "KS result");
|
| 620 |
|
|
if (procTTbar > 0.) legend2->AddEntry(hMC_[2][i], style.TtbarText);
|
| 621 |
|
|
legend2->AddEntry(hWJets_KS[i], style.WJetsText);
|
| 622 |
|
|
if (procZJets > 0.) legend2->AddEntry(hMC_[3][i], style.DYZJetsText);
|
| 623 |
|
|
if (procSTtch > 0.) legend2->AddEntry(hMC_[4][i], style.ST_tText);
|
| 624 |
|
|
if (realData)
|
| 625 |
|
|
legend2->AddEntry(hQCD_KS[i], ((!plotInvSelShape || !useInv) ? style.QCDText :
|
| 626 |
|
|
TString("#splitline{Data (" + invLabels[ninv] + ",}{Scaled by IKS)}")));
|
| 627 |
|
|
else
|
| 628 |
|
|
legend2->AddEntry(hQCD_KS[i], ((!plotInvSelShape || !useInv) ? style.QCDText :
|
| 629 |
|
|
TString("QCD (" + invLabels[ninv] + ")")));
|
| 630 |
|
|
legend2->SetFillColor(0);
|
| 631 |
|
|
legend2->SetFillStyle(0);
|
| 632 |
|
|
legend2->Draw();
|
| 633 |
|
|
legend2->SetFillColor(kWhite);
|
| 634 |
|
|
//latex->DrawLatex(0.22,0.91,histoName[i].c_str());
|
| 635 |
|
|
//cvs[cvsName2]->SetLogy();
|
| 636 |
|
|
text1->Draw();
|
| 637 |
|
|
TString nameCanvas2 = desDir+histoName[i]+"_dataKS_"+suffix1_;
|
| 638 |
|
|
cvs[cvsName2]->SaveAs(nameCanvas2+".pdf");
|
| 639 |
|
|
cvs[cvsName2]->SaveAs(nameCanvas2+".png");
|
| 640 |
|
|
|
| 641 |
|
|
}
|
| 642 |
|
|
|
| 643 |
|
|
// KS fit results
|
| 644 |
|
|
TString cvsName3 = "KStestValues";
|
| 645 |
|
|
if(useInv) cvsName3 = cvsName3 + "_" + invName;
|
| 646 |
jengbou |
1.4 |
cvsName3 += TString("_" + ssel_.str() + nthjbin_);
|
| 647 |
jengbou |
1.3 |
cvs[cvsName3] = new TCanvas(cvsName3,"",600,700);
|
| 648 |
jengbou |
1.2 |
// Zoom-in
|
| 649 |
jengbou |
1.3 |
Int_t nbins_ = hKSvalues_[0]->GetNbinsX();;
|
| 650 |
|
|
Int_t nbMax_ = 1;
|
| 651 |
|
|
Int_t nbMin_ = nbins_;
|
| 652 |
|
|
double val_Min_ = 1.;
|
| 653 |
|
|
for (int i = 0; i < 3; ++i) {
|
| 654 |
|
|
Int_t tmp = findFirstBinAbove(yLowBound, hKSvalues_[i]);
|
| 655 |
|
|
val_Min_ = (hKSvalues_[i]->GetBinContent(tmp) < 0.8*val_Min_ ?
|
| 656 |
|
|
hKSvalues_[i]->GetBinContent(tmp) : 0.8*val_Min_);
|
| 657 |
|
|
nbMin_ = (nbMin_ < tmp ? nbMin_ : tmp);
|
| 658 |
|
|
tmp = findLastBinAbove(0., hKSvalues_[i]);
|
| 659 |
|
|
nbMax_ = (nbMax_ > tmp ? nbMax_ : tmp);
|
| 660 |
|
|
}
|
| 661 |
jengbou |
1.2 |
nbMin_ -= (0.1/stepsize);
|
| 662 |
|
|
nbMax_ += (0.1/stepsize);
|
| 663 |
|
|
|
| 664 |
jengbou |
1.3 |
hKSvalues_[0]->GetXaxis()->SetRange(nbMin_,nbMax_);
|
| 665 |
|
|
hKSvalues_[0]->GetYaxis()->SetRangeUser((1e-36 < val_Min_ ? val_Min_ : 1e-36),1.1);
|
| 666 |
|
|
hKSvalues_[0]->Draw();
|
| 667 |
|
|
hKSvalues_[1]->Draw("same");
|
| 668 |
|
|
hKSvalues_[2]->Draw("same");
|
| 669 |
|
|
TLegend *legend3 = new TLegend(0.2, 0.75, 0.38, 0.93);
|
| 670 |
|
|
legend3->AddEntry(hKSvalues_[0], "muon_pT");
|
| 671 |
|
|
legend3->AddEntry(hKSvalues_[1], "MET");
|
| 672 |
jengbou |
1.4 |
// legend3->AddEntry(hKSvalues_[1], "HT");
|
| 673 |
jengbou |
1.3 |
legend3->AddEntry(hKSvalues_[2], "W_mT");
|
| 674 |
|
|
legend3->SetFillColor(0);
|
| 675 |
|
|
legend3->SetFillStyle(0);
|
| 676 |
|
|
legend3->Draw();
|
| 677 |
|
|
legend3->SetFillColor(kWhite);
|
| 678 |
|
|
//latex->DrawLatex(0.22,0.91,"KS test values");
|
| 679 |
|
|
cvs[cvsName3]->SetLogy();
|
| 680 |
|
|
TString nameCanvas3 = desDir+"KStestValues_newQCD_"+suffix1_;
|
| 681 |
|
|
cvs[cvsName3]->SaveAs(nameCanvas3+".pdf");
|
| 682 |
|
|
cvs[cvsName3]->SaveAs(nameCanvas3+".png");
|
| 683 |
|
|
|
| 684 |
|
|
// KSopt
|
| 685 |
|
|
if (useIKSopt) {
|
| 686 |
|
|
TString cvsName4 = "KStestValues";
|
| 687 |
|
|
if(useInv) cvsName4 = cvsName4 + "_" + invName;
|
| 688 |
jengbou |
1.4 |
cvsName4 += TString("_" + ssel_.str() + nthjbin_ + "_KSopt");
|
| 689 |
jengbou |
1.3 |
|
| 690 |
|
|
cvs[cvsName4] = new TCanvas(cvsName4,"",600,700);
|
| 691 |
|
|
// Zoom-in
|
| 692 |
|
|
nbins_ = hKSvalues_[3]->GetNbinsX();;
|
| 693 |
|
|
nbMax_ = 1;
|
| 694 |
|
|
nbMin_ = nbins_;
|
| 695 |
|
|
val_Min_ = 1.;
|
| 696 |
|
|
Int_t tmp = findFirstBinAbove(1.e-50, hKSvalues_[3]);
|
| 697 |
|
|
val_Min_ = (hKSvalues_[3]->GetBinContent(tmp) < 0.8*val_Min_ ?
|
| 698 |
|
|
hKSvalues_[3]->GetBinContent(tmp) : 0.8*val_Min_);
|
| 699 |
|
|
nbMin_ = (nbMin_ < tmp ? nbMin_ : tmp);
|
| 700 |
|
|
tmp = findLastBinAbove(0., hKSvalues_[3]);
|
| 701 |
|
|
nbMax_ = (nbMax_ > tmp ? nbMax_ : tmp);
|
| 702 |
|
|
nbMin_ -= (0.1/stepsize);
|
| 703 |
|
|
nbMax_ += (0.1/stepsize);
|
| 704 |
|
|
|
| 705 |
|
|
hKSvalues_[3]->GetXaxis()->SetRange(nbMin_,nbMax_);
|
| 706 |
|
|
hKSvalues_[3]->SetLineColor(4);
|
| 707 |
|
|
hKSvalues_[3]->SetMarkerColor(4);
|
| 708 |
|
|
hKSvalues_[3]->SetMarkerStyle(20);
|
| 709 |
|
|
hKSvalues_[3]->SetMarkerSize(1.1);
|
| 710 |
|
|
hKSvalues_[3]->SetStats(0);
|
| 711 |
|
|
hKSvalues_[3]->Draw();
|
| 712 |
|
|
|
| 713 |
|
|
TLegend *legend4 = new TLegend(0.2, 0.75, 0.6, 0.93);
|
| 714 |
|
|
legend4->AddEntry(hKSvalues_[3], "Product of KS test values");
|
| 715 |
|
|
legend4->SetFillColor(0);
|
| 716 |
|
|
legend4->SetFillStyle(0);
|
| 717 |
|
|
legend4->Draw();
|
| 718 |
|
|
legend4->SetFillColor(kWhite);
|
| 719 |
|
|
cvs[cvsName4]->SetLogy();
|
| 720 |
|
|
TString nameCanvas4 = desDir+"KStestValues_newQCD_"+suffix1_+"_KSopt";
|
| 721 |
|
|
cvs[cvsName4]->SaveAs(nameCanvas4+".pdf");
|
| 722 |
|
|
cvs[cvsName4]->SaveAs(nameCanvas4+".png");
|
| 723 |
|
|
}
|
| 724 |
|
|
} // End of njbin loop
|
| 725 |
|
|
} // End of nsel loop
|
| 726 |
jengbou |
1.1 |
} // End of ninv loop
|
| 727 |
|
|
}
|
