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buchmann |
1.1 |
#include <iostream>
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#include <vector>
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#include <sys/stat.h>
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#include <fstream>
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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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//#include "TTbar_stuff.C"
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using namespace std;
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using namespace PlottingSetup;
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void susy_scan_axis_labeling(TH2F *histo) {
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histo->GetXaxis()->SetTitle("#Chi_{2}^{0}-LSP");
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histo->GetXaxis()->CenterTitle();
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histo->GetYaxis()->SetTitle("m_{#tilde{q}}");
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histo->GetYaxis()->CenterTitle();
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}
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void scan_susy_space(string mcjzb, string datajzb) {
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TCanvas *c3 = new TCanvas("c3","c3");
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vector<float> binning;
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binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
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float arrbinning[binning.size()];
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for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i];
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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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allbgs->Add(allbgsc);
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int ndata=puredata->Integral();
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ofstream myfile;
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myfile.open ("susyscan_log.txt");
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TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root");
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TTree *suevents = (TTree*)susyscanfile->Get("events");
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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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TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000);
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TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000);
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susy_scan_axis_labeling(exclusionmap);
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susy_scan_axis_labeling(exclusionmap1s);
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susy_scan_axis_labeling(exclusionmap2s);
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susy_scan_axis_labeling(exclusionmap3s);
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Int_t MyPalette[100];
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Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
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Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
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Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
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Double_t stop[] = {0., .25, .50, .75, 1.0};
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Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100);
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for (int i=0;i<100;i++) MyPalette[i] = FI+i;
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gStyle->SetPalette(100, MyPalette);
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for(int m23=50;m23<500;m23+=25) {
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for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50)
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{
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c3->cd();
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stringstream drawcondition;
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drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2";
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TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning);
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TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning);
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stringstream drawvar,drawvar2;
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drawvar<<mcjzb<<">>puresignal";
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drawvar2<<"-"<<mcjzb<<">>puresignall";
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suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str());
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suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str());
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if(puresignal->Integral()<60) {
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delete puresignal;
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continue;
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}
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puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !!
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puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data
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stringstream saveas;
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saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23;
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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;
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// TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
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// TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
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// TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
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// signalpred->Add(signalpredlo,-1);
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// signalpred->Add(signalpredro);
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// puresignal->Add(signalpred,-1);//subtracting signal contamination
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//---------------------
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// dout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl;
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// TH1F *puresignal = allsamples.Draw("puresignal",mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
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vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile);
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if(results.size()==0) {
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delete puresignal;
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continue;
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}
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exclusionmap->Fill(m23,m0,results[0]);
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exclusionmap1s->Fill(m23,m0,results[1]);
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exclusionmap2s->Fill(m23,m0,results[2]);
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exclusionmap3s->Fill(m23,m0,results[3]);
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delete puresignal;
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dout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl;
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}
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}//end of model scan for loop
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dout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl;
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c3->cd();
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exclusionmap->Draw("CONTZ");
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CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values");
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exclusionmap->Draw("COLZ");
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CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values");
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exclusionmap1s->Draw("CONTZ");
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CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values");
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exclusionmap1s->Draw("COLZ");
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CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values");
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exclusionmap2s->Draw("CONTZ");
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CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values");
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exclusionmap2s->Draw("COLZ");
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CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values");
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exclusionmap3s->Draw("CONTZ");
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CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values");
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exclusionmap3s->Draw("COLZ");
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CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values");
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TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE");
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exclusionmap->Write();
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exclusionmap1s->Write();
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exclusionmap2s->Write();
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exclusionmap3s->Write();
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exclusion_limits->Close();
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susyscanfile->Close();
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myfile.close();
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}
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void efficiency_scan_in_susy_space(string mcjzb, string datajzb, bool requireZ) {
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cout << "Doing efficiency scan using " << (scansample.collection)[0].filename << endl;
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geqleq="geq";
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automatized=true;
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buchmann |
1.2 |
mcjzbexpression=mcjzb;
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buchmann |
1.1 |
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string massgluname="MassGlu";
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string massLSPname="MassLSP";
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Int_t MyPalette[100];
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Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
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Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
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Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
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Double_t stop[] = {0., .25, .50, .75, 1.0};
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buchmann |
1.2 |
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 110);
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buchmann |
1.1 |
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
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gStyle->SetPalette(100, MyPalette);
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buchmann |
1.3 |
float mglustart=25;float mgluend=1200;float mglustep=25; //guessed values for official file
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float mLSPstart=25;float mLSPend=1200;float mLSPstep=25; //guessed values for official file
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// float mglustart=950;float mgluend=970;float mglustep=10;
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// float mLSPstart=825;float mLSPend=900;float mLSPstep=10;
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buchmann |
1.1 |
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TH2F *efficiencymap = new TH2F("efficiencymap","",(mgluend-mglustart)/mglustep+1,mglustart-0.5*mglustep,mgluend+0.5*mglustep,(mLSPend-mLSPstart)/mLSPstep+1,mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);
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buchmann |
1.2 |
TH2F *Neventsmap = new TH2F("Neventsmap","",(mgluend-mglustart)/mglustep+1,mglustart-0.5*mglustep,mgluend+0.5*mglustep,(mLSPend-mLSPstart)/mLSPstep+1,mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);
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buchmann |
1.1 |
float rightmargin=gStyle->GetPadRightMargin();
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buchmann |
1.2 |
gStyle->SetPadRightMargin(0.14);
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buchmann |
1.1 |
TCanvas *effcanvas = new TCanvas("effcanvas","Efficiency canvas");
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buchmann |
1.2 |
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buchmann |
1.1 |
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
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for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep)
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{
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float result,resulterr;
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stringstream addcut;
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addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
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MCefficiency((scansample.collection)[0].events,result,resulterr,mcjzb,requireZ,addcut.str());
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if(result!=result||isanyinf(result)) {
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cout << "Watch out the result for mlsp=" << mlsp << " and mglu=" << mglu << " (" << result << ") has been detected as being not a number (nan) or infinity (inf) !" << endl;
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result=0; // kicking nan and inf errors
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}
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efficiencymap->Fill(mglu,mlsp,result);
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buchmann |
1.2 |
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(scansample.collection)[0].events->Draw(mcjzb.c_str(),addcut.str().c_str(),"goff");
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float nevents = (scansample.collection)[0].events->GetSelectedRows();
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Neventsmap->Fill(mglu,mlsp,nevents);
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buchmann |
1.1 |
}
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}
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efficiencymap->GetXaxis()->SetTitle("m_{glu}");
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efficiencymap->GetXaxis()->CenterTitle();
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efficiencymap->GetYaxis()->SetTitle("m_{LSP}");
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efficiencymap->GetYaxis()->CenterTitle();
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buchmann |
1.2 |
Neventsmap->GetXaxis()->SetTitle("m_{glu}");
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Neventsmap->GetXaxis()->CenterTitle();
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Neventsmap->GetYaxis()->SetTitle("m_{LSP}");
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Neventsmap->GetYaxis()->CenterTitle();
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buchmann |
1.1 |
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efficiencymap->Draw("COLZ");
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TText *title = write_title("Efficiency in LSP-Glu plane");
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title->Draw();
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CompleteSave(effcanvas,"SUSYScan/Efficency");
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buchmann |
1.2 |
Neventsmap->Draw("COLZ");
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TText *title2 = write_title("Number of events in LSP-Glu plane");
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title2->Draw();
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CompleteSave(effcanvas,"SUSYScan/Nevents");
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buchmann |
1.1 |
gStyle->SetPadRightMargin(rightmargin);
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}
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