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/*
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Contains functions that were used in the past but are out now ...
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*/
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#include <iostream>
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#include <vector>
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#include <sys/stat.h>
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#include <TCut.h>
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#include <TROOT.h>
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#include <TCanvas.h>
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#include <TMath.h>
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#include <TColor.h>
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#include <TPaveText.h>
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#include <TRandom.h>
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#include <TH1.h>
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#include <TH2.h>
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#include <TF1.h>
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#include <TSQLResult.h>
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#include <TProfile.h>
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string centralupdownname(int num) {
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if (num==0) return "central";
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if (num==1) return "down";
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if (num==2) return "up";
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return "centralupdownnameERROR";
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}
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string dataormc(int isdata) {
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if(isdata) return "Data";
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else return "MC";
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}
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int histocounter=0;
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string give_histo_number(string basename="", int isdata=-1, int centralcounter=-1) {
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histocounter++;
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stringstream histocounternum;
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if(isdata==-1) {
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if(basename=="") histocounternum << histocounter;
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else histocounternum << basename << "_" << histocounter;
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}
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else {
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histocounternum << basename << "_" << dataormc(isdata) << "_" << centralupdownname(centralcounter);
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}
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return histocounternum.str();
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}
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int central=0;
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int down=1;
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int up=2;
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void crunch_the_numbers(TH1F *RcorrJZBeemmop[3][2],TH1F *RcorrJZBeeop[3][2],TH1F *RcorrJZBmmop[3][2],TH1F *LcorrJZBeemmop[3][2],TH1F *LcorrJZBeeop[3][2],TH1F *LcorrJZBmmop[3][2],TH1F *RcorrJZBemop[3][2],TH1F *LcorrJZBemop[3][2],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],float predicted[3][2][20],float observed[3][2][20],int isdata,vector<float> jzbcuts,float eemmmumu[2][3][20]) {
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// dout << "Crunching the numbers for is_data=" << isdata << endl;
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for(int k=0;k<20;k++) {for(int i=0;i<2;i++){for(int j=0;j<3;j++) {eemmmumu[i][j][k]=0;}}}
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for(int icut=0;icut<jzbcuts.size()-1;icut++) {//do calculation for each JZB cut
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for(int ibin=1;ibin<jzbcuts.size();ibin++) {//and to do that, we need to consider each bin.
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if(RcorrJZBeemmop[0][isdata]->GetBinLowEdge(ibin)<jzbcuts[icut]) continue;
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// if(icut==0) dout << "Predicted+=" << LcorrJZBeemmop[central][isdata]->GetBinContent(ibin) << " eemm,L" << endl;
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predicted[central][isdata][icut]+=LcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
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predicted[up][isdata][icut]+=LcorrJZBeemmop[up][isdata]->GetBinContent(ibin);
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predicted[down][isdata][icut]+=LcorrJZBeemmop[down][isdata]->GetBinContent(ibin);
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// if(icut==0) dout << "Predicted+=" << RcorrJZBemop[central][isdata]->GetBinContent(ibin) << " em, R" << endl;
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predicted[central][isdata][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
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predicted[up][isdata][icut]+=RcorrJZBemop[up][isdata]->GetBinContent(ibin);
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predicted[down][isdata][icut]+=RcorrJZBemop[down][isdata]->GetBinContent(ibin);
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// if(icut==0) dout << "Predicted-=" << LcorrJZBemop[central][isdata]->GetBinContent(ibin) <<" em, L" << endl;
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predicted[central][isdata][icut]-=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
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predicted[up][isdata][icut]-=LcorrJZBemop[up][isdata]->GetBinContent(ibin);
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predicted[down][isdata][icut]-=LcorrJZBemop[down][isdata]->GetBinContent(ibin);
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// if(icut==0) dout << "Observed=" << RcorrJZBeemmop[central][isdata]->GetBinContent(ibin) << "eemm, R" << endl;
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observed[central][isdata][icut]+=RcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
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observed[up][isdata][icut]+=RcorrJZBeemmop[up][isdata]->GetBinContent(ibin);
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observed[down][isdata][icut]+=RcorrJZBeemmop[down][isdata]->GetBinContent(ibin);
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zjetsestimate[central][isdata][icut]+=LcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
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ttbarestimate[central][isdata][0][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
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ttbarestimate[central][isdata][1][icut]+=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
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eemmmumu[0][0][icut]+=LcorrJZBeeop[central][isdata]->GetBinContent(ibin);
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eemmmumu[0][1][icut]+=LcorrJZBmmop[central][isdata]->GetBinContent(ibin);
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eemmmumu[0][2][icut]+=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
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eemmmumu[1][0][icut]+=RcorrJZBeeop[central][isdata]->GetBinContent(ibin);
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eemmmumu[1][1][icut]+=RcorrJZBmmop[central][isdata]->GetBinContent(ibin);
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eemmmumu[1][2][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
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}//end of ibin loop
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}//end of icut loop
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}
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void make_table(float eemmmumu[2][3][20],int icut,float JZBcut) {
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vector< vector <string> > entries;
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vector <string> line;
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line.push_back("");
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line.push_back("eemm (ee/mm)");
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line.push_back("em");
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entries.push_back(line);
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line.clear();
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line.push_back("JZB>"+any2string(JZBcut));
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line.push_back(any2string(eemmmumu[1][0][icut]+eemmmumu[1][1][icut])+"("+any2string(eemmmumu[1][0][icut])+"/"+any2string(eemmmumu[1][1][icut])+")");
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line.push_back(any2string(eemmmumu[1][2][icut]));
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entries.push_back(line);
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line.clear();
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line.push_back("JZB<-"+any2string(JZBcut));
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line.push_back(any2string(eemmmumu[0][0][icut]+eemmmumu[0][1][icut])+"("+any2string(eemmmumu[0][0][icut])+"/"+any2string(eemmmumu[0][1][icut])+")");
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line.push_back(any2string(eemmmumu[0][2][icut]));
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entries.push_back(line);
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make_nice_jzb_table(entries);
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/*
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dout << " \t\t | \t eemm (ee/mm) \t | \t em" << endl;
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dout << "JZB>peak\t | \t " << eemmmumu[1][0]+eemmmumu[1][1] << "(" << eemmmumu[1][0] << "/" << eemmmumu[1][1] << ")\t | \t" << eemmmumu[1][2] << endl;
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dout << "JZB<peak\t | \t " << eemmmumu[0][0]+eemmmumu[0][1] << "(" << eemmmumu[0][0] << "/" << eemmmumu[0][1] << ")\t | \t" << eemmmumu[0][2] << endl;
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dout << endl;
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*/
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}
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void present_result(vector<float> &jzbcuts,float predicted[3][2][20],float observed[3][2][20],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],int icut, float eemmmumu[2][3][20]) {
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//blublu
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dout << endl << endl;
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dout << "--------------------------------------------------------------------------------------" << endl;
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dout << "DATA: " << endl;
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dout << " For JZB>" << jzbcuts[icut];
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float max,downvar,upvar;
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stringstream printtitle;
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printtitle << "JZB>" << jzbcuts[icut] << " (data)";
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ComputePoissonError(zjetsestimate[central][data][icut],ttbarestimate[central][data][0][icut],ttbarestimate[central][data][1][icut],max,downvar,upvar,printtitle.str());
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//dout << " Predicted: " << print_range(predicted[central][data][icut],predicted[up][data][icut],predicted[down][data][icut]) << " (stat) +" << 0.2*zjetsestimate[central][data][icut] << "-" << 0.4*zjetsestimate[central][data][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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float pred=predicted[central][data][icut];
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float sysP=abs(predicted[up][data][icut]-pred);
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float sysN=abs(pred-predicted[down][data][icut]);
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sysN = sysN + pred*(1-fitresultconstdata);//fitresultconst comes from the fit in the 0-30 GeV range!
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dout << " Predicted: " << pred << "+" << statErrorP(pred) << "-" << statErrorN(pred) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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//0.2*zjetsestimate[central][data][icut] << "-" << 0.4*zjetsestimate[central][data][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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dout << " Details: ZJetsEstimate= " << zjetsestimate[central][data][icut] << ", TTbar estimate=" << ttbarestimate[central][data][0][icut]-ttbarestimate[central][data][1][icut] << " [" << ttbarestimate[central][data][0][icut] << " R -" << ttbarestimate[central][data][1][icut] << " L ]" << endl;
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dout << " For JZB>" << jzbcuts[icut] << " Observed: " << observed[central][data][icut] << endl;
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dout << "TABLE:" << endl;
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make_table(eemmmumu,icut,jzbcuts[icut]);
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dout << "MC: " << endl;
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printtitle.str("");
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printtitle<<"JZB>"<<jzbcuts[icut]<<" (MC)";
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ComputePoissonError(zjetsestimate[central][mc][icut],ttbarestimate[central][mc][0][icut],ttbarestimate[central][mc][1][icut],max,downvar,upvar,printtitle.str());
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pred=predicted[central][mc][icut];
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sysP=abs(predicted[up][mc][icut]-pred);
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sysN=abs(pred-predicted[down][mc][icut]);
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sysN = sysN + pred*(1-fitresultconstmc);//fitresultconst comes from the fit in the 0-30 GeV range!
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dout << " Predicted: " << pred << "+" << statErrorP(pred) << "-" << statErrorN(pred) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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// dout << " Predicted: " << print_range(pred,statErrorP(pred),statErrorN(pred)) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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//dout << " Predicted: " << print_range(predicted[central][mc][icut],predicted[down][mc][icut],predicted[up][mc][icut]) << " (stat) +" << 0.2*zjetsestimate[central][mc][icut] << "-" << 0.4*zjetsestimate[central][mc][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
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//print_range(predicted[central][mc][icut],predicted[central][mc][icut]+upvar,predicted[central][mc][icut]-downvar) << ")" << endl;
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dout << " Details: ZJetsEstimate= " << zjetsestimate[central][mc][icut] << ", TTbar estimate=" << ttbarestimate[central][mc][0][icut]-ttbarestimate[central][mc][1][icut] << " [" << ttbarestimate[central][mc][0][icut] << " R -" << ttbarestimate[central][mc][1][icut] << " L ] )" << endl;
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dout << " For JZB>" << jzbcuts[icut] << " Observed: " << observed[central][mc][icut] << endl;
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dout << endl << endl;
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}
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void calculate_predicted_and_observed_eemm(float MCPeak,float MCPeakError,float DataPeak,float DataPeakError,vector<float> jzbcuts) { // DO NOT CHANGE THIS TO ... &jzbcuts !!! we add one!
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jzbcuts.push_back(14000);
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/*
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* We want the following numbers: For all JZB cuts, we want: ee,mm,em; observed, predicted. we want final results with errors from the peak and statistical error.
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* How to accomplish this; we draw histos for MC&data, once with the peak (to extract obs/pred), once with peak+sigma, once with peak-sigma. this gives us the peak error.
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* Statistical error: Comes from Poissonian errors ... for this we have a special little macro that will give us the value for three given parameters (cool, right?)
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*/
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string jzbpeak[3][2];
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jzbpeak[central][data]=give_jzb_expression(DataPeak,data);
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jzbpeak[up][data]=give_jzb_expression(DataPeak+DataPeakError,data);
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jzbpeak[down][data]=give_jzb_expression(DataPeak-DataPeakError,data);
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jzbpeak[central][mc]=give_jzb_expression(MCPeak,mc);
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jzbpeak[up][mc]=give_jzb_expression(MCPeak+MCPeakError,mc);
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jzbpeak[down][mc]=give_jzb_expression(MCPeak-MCPeakError,mc);
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TH1F *RcorrJZBeemmop[3][2];
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TH1F *LcorrJZBeemmop[3][2];
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TH1F *RcorrJZBeeop[3][2];
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TH1F *LcorrJZBeeop[3][2];
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TH1F *RcorrJZBmmop[3][2];
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TH1F *LcorrJZBmmop[3][2];
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TH1F *RcorrJZBemop[3][2];
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TH1F *LcorrJZBemop[3][2];
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float zjetsestimate[3][2][20];
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float predicted[3][2][20];
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float observed[3][2][20];
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float ttbarestimate[3][2][2][20];
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float eemmmumu[2][3][20];
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for(int isdata=0;isdata<=1;isdata++) {
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for(int centraldownup=0;centraldownup<=2;centraldownup++) {
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RcorrJZBeemmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBeemmop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,isdata, luminosity);
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LcorrJZBeemmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBeemmop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,isdata, luminosity);
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RcorrJZBemop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBemop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,isdata, luminosity);
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LcorrJZBemop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBemop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,isdata,luminosity);
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RcorrJZBemop[centraldownup][isdata]->Add(allsamples.Draw(give_histo_number("RcorrJZBemopSB",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,isdata, luminosity));
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LcorrJZBemop[centraldownup][isdata]->Add(allsamples.Draw(give_histo_number("LcorrJZBemopSB",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,isdata,luminosity));
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RcorrJZBemop[centraldownup][isdata]->Add(allsamples.Draw(give_histo_number("RcorrJZBeemmopSB",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,isdata, luminosity));
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LcorrJZBemop[centraldownup][isdata]->Add(allsamples.Draw(give_histo_number("LcorrJZBeemmopSB",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,isdata,luminosity));
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LcorrJZBemop[centraldownup][isdata]->Scale(1.0/3);
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RcorrJZBemop[centraldownup][isdata]->Scale(1.0/3);
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RcorrJZBeeop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBeeop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"id1==0",isdata, luminosity);
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LcorrJZBeeop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBeeop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"id1==0",isdata, luminosity);
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RcorrJZBmmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBmmop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"id1==1",isdata, luminosity);
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LcorrJZBmmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBmmop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"id1==1",isdata, luminosity);
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for(int icut=0;icut<=jzbcuts.size();icut++) {
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zjetsestimate[centraldownup][isdata][icut]=0;
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predicted[centraldownup][isdata][icut]=0;
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observed[centraldownup][isdata][icut]=0;
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ttbarestimate[centraldownup][isdata][0][icut]=0;
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ttbarestimate[centraldownup][isdata][1][icut]=0;
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}
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}//end of for central,up,down loop
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crunch_the_numbers(RcorrJZBeemmop,RcorrJZBeeop,RcorrJZBmmop,LcorrJZBeemmop,LcorrJZBeeop,LcorrJZBmmop,RcorrJZBemop,LcorrJZBemop,zjetsestimate,ttbarestimate,predicted,observed,isdata,jzbcuts,eemmmumu);
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// void crunch_the_numbers(TH1F *RcorrJZBeemmop[3][2],TH1F *RcorrJZBeeop[3][2],TH1F *RcorrJZBmmop[3][2],TH1F *LcorrJZBeemmop[3][2],TH1F *LcorrJZBeeop[3][2],TH1F *LcorrJZBmmop[3][2],TH1F *RcorrJZBemop[3][2],TH1F *LcorrJZBemop[3][2],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],float predicted[3][2][20],float observed[3][2][20],int isdata,vector<float> jzbcuts,float eemmmumu[2][3]) {
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}//end of is data loop
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dout << "We obtain the following results: " << endl;
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for(int icut=0;icut<jzbcuts.size()-1;icut++) {
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present_result(jzbcuts,predicted,observed,zjetsestimate,ttbarestimate,icut,eemmmumu);
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}
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}
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| 244 |
void alpha_scan_susy_space(string mcjzb, string datajzb) {
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| 245 |
TCanvas *c3 = new TCanvas("c3","c3");
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| 246 |
vector<float> binning;
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| 247 |
binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
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| 248 |
float arrbinning[binning.size()];
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for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i];
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| 250 |
TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
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puredata->SetMarkerSize(DataMarkerSize);
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TH1F *allbgs = allsamples.Draw("allbgs", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
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TH1F *allbgsb = allsamples.Draw("allbgsb", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
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TH1F *allbgsc = allsamples.Draw("allbgsc", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
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allbgs->Add(allbgsb,-1);
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| 256 |
allbgs->Add(allbgsc);
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| 257 |
int ndata=puredata->Integral();
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| 258 |
ofstream myfile;
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| 259 |
myfile.open ("susyscan_log.txt");
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TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root");
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| 261 |
TTree *suevents = (TTree*)susyscanfile->Get("events");
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| 262 |
TH2F *exclusionmap = new TH2F("exclusionmap","",20,0,500,20,0,1000);
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TH2F *exclusionmap1s = new TH2F("exclusionmap1s","",20,0,500,20,0,1000);
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| 264 |
TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000);
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| 265 |
TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000);
|
| 266 |
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| 267 |
susy_scan_axis_labeling(exclusionmap);
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| 268 |
susy_scan_axis_labeling(exclusionmap1s);
|
| 269 |
susy_scan_axis_labeling(exclusionmap2s);
|
| 270 |
susy_scan_axis_labeling(exclusionmap3s);
|
| 271 |
|
| 272 |
Int_t MyPalette[100];
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| 273 |
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
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| 274 |
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
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| 275 |
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 276 |
Double_t stop[] = {0., .25, .50, .75, 1.0};
|
| 277 |
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100);
|
| 278 |
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
|
| 279 |
|
| 280 |
gStyle->SetPalette(100, MyPalette);
|
| 281 |
|
| 282 |
for(int m23=50;m23<500;m23+=25) {
|
| 283 |
for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50)
|
| 284 |
{
|
| 285 |
c3->cd();
|
| 286 |
stringstream drawcondition;
|
| 287 |
drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2";
|
| 288 |
TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning);
|
| 289 |
TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning);
|
| 290 |
stringstream drawvar,drawvar2;
|
| 291 |
drawvar<<mcjzb<<">>puresignal";
|
| 292 |
drawvar2<<"-"<<mcjzb<<">>puresignall";
|
| 293 |
suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str());
|
| 294 |
suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str());
|
| 295 |
if(puresignal->Integral()<60) {
|
| 296 |
delete puresignal;
|
| 297 |
continue;
|
| 298 |
}
|
| 299 |
puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !!
|
| 300 |
puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data
|
| 301 |
stringstream saveas;
|
| 302 |
saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23;
|
| 303 |
dout << "PLEASE KEEP IN MIND THAT SIGNAL CONTAMINATION IS NOT REALLY TAKEN CARE OF YET DUE TO LOW STATISTICS! SHOULD BE SOMETHING LIKE THIS : "<< endl;
|
| 304 |
// TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 305 |
// TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 306 |
// TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 307 |
// signalpred->Add(signalpredlo,-1);
|
| 308 |
// signalpred->Add(signalpredro);
|
| 309 |
// puresignal->Add(signalpred,-1);//subtracting signal contamination
|
| 310 |
//---------------------
|
| 311 |
// dout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl;
|
| 312 |
// TH1F *puresignal = allsamples.Draw("puresignal",mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 313 |
vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile);
|
| 314 |
if(results.size()==0) {
|
| 315 |
delete puresignal;
|
| 316 |
continue;
|
| 317 |
}
|
| 318 |
exclusionmap->Fill(m23,m0,results[0]);
|
| 319 |
exclusionmap1s->Fill(m23,m0,results[1]);
|
| 320 |
exclusionmap2s->Fill(m23,m0,results[2]);
|
| 321 |
exclusionmap3s->Fill(m23,m0,results[3]);
|
| 322 |
delete puresignal;
|
| 323 |
dout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl;
|
| 324 |
}
|
| 325 |
}//end of model scan for loop
|
| 326 |
|
| 327 |
dout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl;
|
| 328 |
c3->cd();
|
| 329 |
exclusionmap->Draw("CONTZ");
|
| 330 |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values");
|
| 331 |
exclusionmap->Draw("COLZ");
|
| 332 |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values");
|
| 333 |
|
| 334 |
exclusionmap1s->Draw("CONTZ");
|
| 335 |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values");
|
| 336 |
exclusionmap1s->Draw("COLZ");
|
| 337 |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values");
|
| 338 |
|
| 339 |
exclusionmap2s->Draw("CONTZ");
|
| 340 |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values");
|
| 341 |
exclusionmap2s->Draw("COLZ");
|
| 342 |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values");
|
| 343 |
|
| 344 |
exclusionmap3s->Draw("CONTZ");
|
| 345 |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values");
|
| 346 |
exclusionmap3s->Draw("COLZ");
|
| 347 |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values");
|
| 348 |
|
| 349 |
TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE");
|
| 350 |
exclusionmap->Write();
|
| 351 |
exclusionmap1s->Write();
|
| 352 |
exclusionmap2s->Write();
|
| 353 |
exclusionmap3s->Write();
|
| 354 |
exclusion_limits->Close();
|
| 355 |
susyscanfile->Close();
|
| 356 |
|
| 357 |
myfile.close();
|
| 358 |
}
|
