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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 <fstream>
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#include <pthread.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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//#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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bool isThreadActive=false;
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struct limit_args {
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float mceff;
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float toterr;
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int ibin;
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string mcjzb;
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vector<float> sigmas;
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};
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void* compute_one_upper_limit_wrapper(void* data) {
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isThreadActive=true;
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limit_args* args = (limit_args*) data;
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std::cout << "Thread to compute limits has been started" << std::endl;
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args->sigmas=compute_one_upper_limit(args->mceff,args->toterr,args->ibin,args->mcjzb);
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std::cout << "Thread to compute limits has finished" << std::endl;
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isThreadActive=false;
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return NULL; // oder in C++: return 0;// Damit kann man Werte zurückgeben
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}
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void do_limit_wrapper(float mceff,float toterr,int ibin,string mcjzb,vector<float> &sigmas) {
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pthread_t limitthread;
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limit_args limargs={mceff,toterr,ibin,mcjzb,sigmas};
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pthread_create( &limitthread, NULL, compute_one_upper_limit_wrapper, (void*) &limargs);
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int counter=0;
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sleep(1); //waiting a second for the process to become active
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while(counter<limitpatience*60 && isThreadActive) {
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std::cout << "Limits are being calculated; Checking round " << counter << " ( corresponds to " << seconds_to_time(counter) << " ) , patience will end in " << seconds_to_time(60*60*limitpatience-counter) << std::endl;
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counter++;
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sleep(1);
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}
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if(!isThreadActive) {
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cout << "Thread finished sucessfully" << endl;
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pthread_join( limitthread, NULL );
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std::cout<< __FUNCTION__ << " : going to save sigmas " << std::endl;
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sigmas=limargs.sigmas;
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} else {
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pthread_cancel(limitthread);
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std::cout << "DID NOT TERMINATE IN TIME - ABORTED!" << std::endl;
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sigmas.push_back(-1);sigmas.push_back(-1);sigmas.push_back(-1);
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}
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}
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void prepare_scan_axis(TH2 *variablemap) {
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variablemap->GetXaxis()->SetTitle("m_{glu}");
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variablemap->GetXaxis()->CenterTitle();
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variablemap->GetYaxis()->SetTitle("m_{LSP}");
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variablemap->GetYaxis()->CenterTitle();
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variablemap->GetXaxis()->SetTitle("m_{glu}");
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variablemap->GetXaxis()->CenterTitle();
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variablemap->GetYaxis()->SetTitle("m_{LSP}");
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variablemap->GetYaxis()->CenterTitle();
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}
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void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, int ibin,float njobs=-1, float jobnumber=-1, bool systematicsonly=false,bool efficiencyonly=false) {
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bool runninglocally=true;
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if(njobs>-1&&jobnumber>-1) {
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runninglocally=false;
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dout << "Running on the GRID (this is job " << jobnumber << "/" << njobs << ") for a jzb cut at " << jzb_cut[ibin] << endl;
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} else {
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dout << "Running locally " << endl;
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dout << "This will take a really, really long time - if you want to see the results THIS week try running the LimitWorkerScript on the grid (DistributedModelCalculation/Limits/)" << endl;
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}
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jzbSel=jzb_cut[ibin];
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geqleq="geq";
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automatized=true;
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mcjzbexpression=mcjzb;
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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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Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 110);
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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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TH2F *limitmap = new TH2F(("limitmap"+any2string(jzbSel)).c_str(), "",(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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TH2F *sysjesmap = new TH2F(("sysjes"+any2string(jzbSel)).c_str(), "",(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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TH2F *sysjsumap = new TH2F(("sysjsu"+any2string(jzbSel)).c_str(), "",(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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TH2F *sysresmap = new TH2F(("sysresmap"+any2string(jzbSel)).c_str(),"",(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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| 236 |
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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| 237 |
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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float rightmargin=gStyle->GetPadRightMargin();
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| 239 |
gStyle->SetPadRightMargin(0.15);
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| 240 |
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| 241 |
TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas");
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| 242 |
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| 243 |
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| 244 |
int Npoints=0;
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| 245 |
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
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| 246 |
for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep) Npoints++;
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| 247 |
}
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| 248 |
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| 249 |
int ipoint=-1;
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| 250 |
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
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| 251 |
for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep)
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| 252 |
{
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| 253 |
ipoint++;
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| 254 |
if(!runninglocally&&!do_this_point(ipoint,Npoints,jobnumber,njobs)) continue;
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| 255 |
float result,resulterr;
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| 256 |
stringstream addcut;
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| 257 |
addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
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| 258 |
(scansample.collection)[0].events->Draw("eventNum",addcut.str().c_str(),"goff");
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| 259 |
float nevents = (scansample.collection)[0].events->GetSelectedRows();
|
| 260 |
vector<vector<float> > systematics;
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| 261 |
if(nevents!=0) MCefficiency((scansample.collection)[0].events,result,resulterr,mcjzb,requireZ,nevents,addcut.str());
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| 262 |
if(nevents==0||result!=result||resulterr!=resulterr) {
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| 263 |
dout << "Limits can't be calculated for this configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") as either the efficiency or its error are not numbers or the number of events is zero! (result="<<result<<" and resulterr="<<resulterr<<"; Nevents=" << nevents << ")"<< endl;
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| 264 |
continue;
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| 265 |
} else {
|
| 266 |
dout << "Configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") passed the mcefficiency test." << endl;
|
| 267 |
}
|
| 268 |
efficiencymap->Fill(mglu,mlsp,result);
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| 269 |
Neventsmap->Fill(mglu,mlsp,nevents);
|
| 270 |
if(efficiencyonly) continue;
|
| 271 |
|
| 272 |
do_systematics_for_one_file((scansample.collection)[0].events,nevents,"SUSY SCAN", systematics,mcjzb,datajzb,peakerror,requireZ, addcut.str());
|
| 273 |
float JZBcutat = systematics[0][0];
|
| 274 |
float mceff = systematics[0][1];
|
| 275 |
float toterr = systematics[0][4];
|
| 276 |
float sys_jes = systematics[0][5]; // Jet Energy Scale
|
| 277 |
float sys_jsu = systematics[0][6]; // JZB scale uncertainty
|
| 278 |
float sys_res = systematics[0][7]; // resolution
|
| 279 |
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| 280 |
// cout << "EXTRACTED THE FOLLOWING INFORMATION: mceff=" << mceff << " , toterr=" << toterr << " , sys_jes=" << sys_jes << " , sys_jsu=" << sys_jsu << " , sys_res = " << sys_res << endl;
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| 281 |
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| 282 |
if(mceff!=mceff||toterr!=toterr||mceff<0) {
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| 283 |
dout << "Limits can't be calculated for this configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") as either the efficiency or its error are not positive numbers! (mceff="<<mceff<<" and toterr="<<toterr<<")"<< endl;
|
| 284 |
continue;
|
| 285 |
} else {
|
| 286 |
if(!systematicsonly&&!efficiencyonly) {
|
| 287 |
dout << "Calculating limit now for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl;
|
| 288 |
vector<float> sigmas;
|
| 289 |
do_limit_wrapper(mceff,toterr,ibin,mcjzb,sigmas);
|
| 290 |
cout << "back in " << __FUNCTION__ << endl;
|
| 291 |
if(sigmas[0]>-0.5) { // negative sigmas are the error signature of do_limit_wrapper, so we want to exclude them.
|
| 292 |
limitmap->Fill(mglu,mlsp,sigmas[0]);
|
| 293 |
sysjesmap->Fill(mglu,mlsp,sys_jes);
|
| 294 |
sysjsumap->Fill(mglu,mlsp,sys_jsu);
|
| 295 |
sysresmap->Fill(mglu,mlsp,sys_res);
|
| 296 |
efficiencymap->Fill(mglu,mlsp,result);
|
| 297 |
Neventsmap->Fill(mglu,mlsp,nevents);
|
| 298 |
dout << "A limit has been added at " << sigmas[0] << " for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl;
|
| 299 |
} //end of if sigma is positive
|
| 300 |
//end of not systematics only condition
|
| 301 |
}
|
| 302 |
if(systematicsonly) {
|
| 303 |
sysjesmap->Fill(mglu,mlsp,sys_jes);
|
| 304 |
sysjsumap->Fill(mglu,mlsp,sys_jsu);
|
| 305 |
sysresmap->Fill(mglu,mlsp,sys_res);
|
| 306 |
efficiencymap->Fill(mglu,mlsp,result);
|
| 307 |
Neventsmap->Fill(mglu,mlsp,nevents);
|
| 308 |
}
|
| 309 |
}//efficiency is valid
|
| 310 |
}
|
| 311 |
}
|
| 312 |
|
| 313 |
prepare_scan_axis(limitmap);
|
| 314 |
prepare_scan_axis(sysjesmap);
|
| 315 |
prepare_scan_axis(sysjsumap);
|
| 316 |
prepare_scan_axis(sysresmap);
|
| 317 |
|
| 318 |
if(!systematicsonly&&!efficiencyonly) {
|
| 319 |
limcanvas->cd();
|
| 320 |
limitmap->Draw("COLZ");
|
| 321 |
TText *title = write_title("Limits in LSP-Glu plane");
|
| 322 |
title->Draw();
|
| 323 |
if(runninglocally) {
|
| 324 |
CompleteSave(limcanvas,"SUSYScan/Limits_JZB_geq"+any2string(jzb_cut[ibin]));
|
| 325 |
} else {
|
| 326 |
TFile *outputfile;
|
| 327 |
if(systematicsonly) outputfile=new TFile(("output/DistributedSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");//needs to be "UPDATE" as we can get to this point for different JZB cuts and don't want to erase the previous data :-)
|
| 328 |
else outputfile=new TFile(("output/DistributedLimits_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");//needs to be "UPDATE" as we can get to this point for
|
| 329 |
limitmap->Write();
|
| 330 |
outputfile->Close();
|
| 331 |
}
|
| 332 |
}
|
| 333 |
if(systematicsonly) { // systematics only :
|
| 334 |
limcanvas->cd();
|
| 335 |
sysjesmap->Draw("COLZ");
|
| 336 |
TText *title = write_title("Jet Energy scale in LSP-Glu plane");
|
| 337 |
title->Draw();
|
| 338 |
if(runninglocally) {
|
| 339 |
CompleteSave(limcanvas,"SUSYScan/JES_geq"+any2string(jzb_cut[ibin]));
|
| 340 |
}
|
| 341 |
sysjsumap->Draw("COLZ");
|
| 342 |
TText *title2 = write_title("JZB Scale Uncertainty in LSP-Glu plane");
|
| 343 |
title2->Draw();
|
| 344 |
if(runninglocally) {
|
| 345 |
CompleteSave(limcanvas,"SUSYScan/JSU_geq"+any2string(jzb_cut[ibin]));
|
| 346 |
}
|
| 347 |
sysresmap->Draw("COLZ");
|
| 348 |
TText *title3 = write_title("Resolution in LSP-Glu plane");
|
| 349 |
title3->Draw();
|
| 350 |
if(runninglocally) {
|
| 351 |
CompleteSave(limcanvas,"SUSYScan/Resolution_geq"+any2string(jzb_cut[ibin]));
|
| 352 |
}
|
| 353 |
|
| 354 |
if(!runninglocally) {
|
| 355 |
TFile *outputfile=new TFile(("output/DistributedSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");
|
| 356 |
sysjesmap->Write();
|
| 357 |
sysjsumap->Write();
|
| 358 |
sysresmap->Write();
|
| 359 |
outputfile->Close();
|
| 360 |
}
|
| 361 |
}//end of systematics only
|
| 362 |
if(efficiencyonly) {
|
| 363 |
limcanvas->cd();
|
| 364 |
efficiencymap->Draw("COLZ");
|
| 365 |
TText *title = write_title("Efficiencies in LSP-Glu plane");
|
| 366 |
title->Draw();
|
| 367 |
if(runninglocally) {
|
| 368 |
CompleteSave(limcanvas,"SUSYScan/Efficiency_geq"+any2string(jzb_cut[ibin]));
|
| 369 |
}
|
| 370 |
limcanvas->cd();
|
| 371 |
sysjesmap->Draw("COLZ");
|
| 372 |
TText *title2 = write_title("N(events) in LSP-Glu plane");
|
| 373 |
title2->Draw();
|
| 374 |
if(runninglocally) {
|
| 375 |
CompleteSave(limcanvas,"SUSYScan/Nevents_geq"+any2string(jzb_cut[ibin]));
|
| 376 |
}
|
| 377 |
if(!runninglocally) {
|
| 378 |
TFile *outputfile=new TFile(("output/DistributedSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");
|
| 379 |
Neventsmap->Write();
|
| 380 |
efficiencymap->Write();
|
| 381 |
outputfile->Close();
|
| 382 |
}
|
| 383 |
}//end of efficiencies only
|
| 384 |
delete limcanvas;
|
| 385 |
}
|
| 386 |
|
| 387 |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float njobs=-1, float jobnumber=-1, bool systonly=false, bool effonly=false) {
|
| 388 |
dout << "Starting the SUSY scan now with all " << jzb_cut.size() << " bin(s)" << endl;
|
| 389 |
for(int ibin=0;ibin<jzb_cut.size();ibin++) {
|
| 390 |
scan_SUSY_parameter_space(mcjzb,datajzb,jzb_cut,requireZ, peakerror, ibin, njobs, jobnumber,systonly,effonly);
|
| 391 |
}
|
| 392 |
}
|
