| 1 |
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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| 147 |
buchmann |
1.4 |
void efficiency_scan_in_susy_space(string mcjzb, string datajzb, bool requireZ, float peakerror) {
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dout << "Doing efficiency scan using " << (scansample.collection)[0].filename << endl;
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buchmann |
1.5 |
geqleq="geq";
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buchmann |
1.1 |
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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| 159 |
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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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| 162 |
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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| 166 |
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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 |
1.4 |
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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| 168 |
buchmann |
1.2 |
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| 169 |
buchmann |
1.1 |
float rightmargin=gStyle->GetPadRightMargin();
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| 170 |
buchmann |
1.2 |
gStyle->SetPadRightMargin(0.14);
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| 172 |
buchmann |
1.1 |
TCanvas *effcanvas = new TCanvas("effcanvas","Efficiency canvas");
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| 173 |
buchmann |
1.2 |
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| 174 |
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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| 176 |
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{
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| 177 |
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float result,resulterr;
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| 178 |
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stringstream addcut;
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| 179 |
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addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
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| 180 |
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MCefficiency((scansample.collection)[0].events,result,resulterr,mcjzb,requireZ,addcut.str());
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| 181 |
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if(result!=result||isanyinf(result)) {
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| 182 |
buchmann |
1.4 |
dout << "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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buchmann |
1.1 |
result=0; // kicking nan and inf errors
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}
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| 185 |
buchmann |
1.5 |
else {
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| 186 |
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efficiencymap->Fill(mglu,mlsp,result);
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| 187 |
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dout << " ok! Added efficiency " << result << " for mlsp=" << mlsp << " and mglu=" << mglu << endl;
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| 188 |
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}
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| 189 |
buchmann |
1.2 |
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| 190 |
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(scansample.collection)[0].events->Draw(mcjzb.c_str(),addcut.str().c_str(),"goff");
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| 191 |
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float nevents = (scansample.collection)[0].events->GetSelectedRows();
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| 192 |
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Neventsmap->Fill(mglu,mlsp,nevents);
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| 193 |
buchmann |
1.1 |
}
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| 194 |
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}
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| 195 |
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| 196 |
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efficiencymap->GetXaxis()->SetTitle("m_{glu}");
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| 197 |
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efficiencymap->GetXaxis()->CenterTitle();
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| 198 |
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efficiencymap->GetYaxis()->SetTitle("m_{LSP}");
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| 199 |
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efficiencymap->GetYaxis()->CenterTitle();
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| 200 |
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| 201 |
buchmann |
1.2 |
Neventsmap->GetXaxis()->SetTitle("m_{glu}");
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| 202 |
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Neventsmap->GetXaxis()->CenterTitle();
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| 203 |
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Neventsmap->GetYaxis()->SetTitle("m_{LSP}");
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| 204 |
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Neventsmap->GetYaxis()->CenterTitle();
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| 205 |
buchmann |
1.4 |
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| 206 |
buchmann |
1.1 |
efficiencymap->Draw("COLZ");
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| 207 |
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TText *title = write_title("Efficiency in LSP-Glu plane");
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| 208 |
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title->Draw();
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| 209 |
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CompleteSave(effcanvas,"SUSYScan/Efficency");
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| 210 |
buchmann |
1.4 |
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| 211 |
buchmann |
1.2 |
Neventsmap->Draw("COLZ");
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| 212 |
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TText *title2 = write_title("Number of events in LSP-Glu plane");
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| 213 |
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title2->Draw();
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| 214 |
buchmann |
1.5 |
CompleteSave(effcanvas,"SUSYScan/Nevents");
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| 215 |
buchmann |
1.4 |
}
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| 216 |
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| 217 |
buchmann |
1.6 |
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) {
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| 218 |
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| 219 |
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bool runninglocally=true;
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| 220 |
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if(njobs>-1&&jobnumber>-1) {
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| 221 |
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runninglocally=false;
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| 222 |
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cout << "Running on the GRID (this is job " << jobnumber << "/" << njobs << ")" << endl;
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| 223 |
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} else {
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| 224 |
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cout << "Running locally " << endl;
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| 225 |
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}
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| 226 |
buchmann |
1.4 |
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| 227 |
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jzbSel=jzb_cut[ibin];
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| 228 |
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geqleq="geq";
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| 229 |
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automatized=true;
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| 230 |
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mcjzbexpression=mcjzb;
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| 231 |
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| 232 |
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string massgluname="MassGlu";
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| 233 |
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string massLSPname="MassLSP";
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| 234 |
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|
| 235 |
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Int_t MyPalette[100];
|
| 236 |
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Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
|
| 237 |
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Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
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| 238 |
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Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 239 |
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Double_t stop[] = {0., .25, .50, .75, 1.0};
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| 240 |
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Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 110);
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| 241 |
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for (int i=0;i<100;i++) MyPalette[i] = FI+i;
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| 242 |
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| 243 |
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gStyle->SetPalette(100, MyPalette);
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| 244 |
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| 245 |
buchmann |
1.6 |
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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| 246 |
buchmann |
1.4 |
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| 247 |
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float rightmargin=gStyle->GetPadRightMargin();
|
| 248 |
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gStyle->SetPadRightMargin(0.15);
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| 249 |
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| 250 |
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TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas");
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| 251 |
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| 252 |
buchmann |
1.6 |
|
| 253 |
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int Npoints=0;
|
| 254 |
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for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
|
| 255 |
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for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep) Npoints++;
|
| 256 |
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|
}
|
| 257 |
|
|
|
| 258 |
|
|
int ipoint=-1;
|
| 259 |
buchmann |
1.4 |
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
|
| 260 |
|
|
for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep)
|
| 261 |
|
|
{
|
| 262 |
buchmann |
1.6 |
ipoint++;
|
| 263 |
|
|
if(!runninglocally&&!do_this_point(ipoint,Npoints,jobnumber,njobs)) continue;
|
| 264 |
buchmann |
1.4 |
float result,resulterr;
|
| 265 |
|
|
stringstream addcut;
|
| 266 |
|
|
addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
|
| 267 |
|
|
vector<vector<float> > systematics;
|
| 268 |
buchmann |
1.6 |
MCefficiency((scansample.collection)[0].events,result,resulterr,mcjzb,requireZ,addcut.str());
|
| 269 |
|
|
if(result!=result||resulterr!=resulterr) {
|
| 270 |
|
|
dout << "Limits can't be calculated for this configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") as either the efficiency or its error are not numbers! (result="<<result<<" and resulterr="<<resulterr<<")"<< endl;
|
| 271 |
|
|
continue;
|
| 272 |
|
|
} else {
|
| 273 |
|
|
dout << "Configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") passed the mcefficiency test; will establish limits now." << endl;
|
| 274 |
|
|
}
|
| 275 |
buchmann |
1.4 |
do_systematics_for_one_file((scansample.collection)[0].events,"SUSY SCAN", systematics,mcjzb,datajzb,peakerror,requireZ, addcut.str());
|
| 276 |
|
|
float JZBcutat=systematics[0][0];
|
| 277 |
|
|
float mceff=systematics[0][1];
|
| 278 |
|
|
float toterr =systematics[0][4];
|
| 279 |
|
|
if(mceff!=mceff||toterr!=toterr) {
|
| 280 |
buchmann |
1.6 |
dout << "Limits can't be calculated for this configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") as either the efficiency or its error are not numbers! (mceff="<<mceff<<" and toterr="<<toterr<<")"<< endl;
|
| 281 |
buchmann |
1.4 |
continue;
|
| 282 |
buchmann |
1.5 |
} else {
|
| 283 |
buchmann |
1.6 |
dout << "Calculating limit now for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl;
|
| 284 |
buchmann |
1.5 |
vector<float> sigmas = compute_one_upper_limit(mceff,toterr,ibin,mcjzb);
|
| 285 |
|
|
limitmap->Fill(mglu,mlsp,sigmas[0]);
|
| 286 |
|
|
dout << "A limit has been added at " << sigmas[0] << " for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl;
|
| 287 |
buchmann |
1.4 |
}
|
| 288 |
|
|
}
|
| 289 |
|
|
}
|
| 290 |
|
|
|
| 291 |
|
|
limitmap->GetXaxis()->SetTitle("m_{glu}");
|
| 292 |
|
|
limitmap->GetXaxis()->CenterTitle();
|
| 293 |
|
|
limitmap->GetYaxis()->SetTitle("m_{LSP}");
|
| 294 |
|
|
limitmap->GetYaxis()->CenterTitle();
|
| 295 |
|
|
|
| 296 |
|
|
limitmap->GetXaxis()->SetTitle("m_{glu}");
|
| 297 |
|
|
limitmap->GetXaxis()->CenterTitle();
|
| 298 |
|
|
limitmap->GetYaxis()->SetTitle("m_{LSP}");
|
| 299 |
|
|
limitmap->GetYaxis()->CenterTitle();
|
| 300 |
|
|
|
| 301 |
|
|
limcanvas->cd();
|
| 302 |
|
|
limitmap->Draw("COLZ");
|
| 303 |
|
|
TText *title = write_title("Limits in LSP-Glu plane");
|
| 304 |
|
|
title->Draw();
|
| 305 |
buchmann |
1.6 |
if(runninglocally) {
|
| 306 |
|
|
CompleteSave(limcanvas,"SUSYScan/Limits_JZB_geq"+any2string(jzb_cut[ibin]));
|
| 307 |
|
|
} else {
|
| 308 |
|
|
TFile *outputfile=new TFile(("output/DistributedLimits_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");
|
| 309 |
|
|
limitmap->Write();
|
| 310 |
|
|
outputfile->Close();
|
| 311 |
|
|
}
|
| 312 |
buchmann |
1.1 |
}
|
| 313 |
buchmann |
1.4 |
|
| 314 |
buchmann |
1.6 |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float njobs=-1, float jobnumber=-1) {
|
| 315 |
buchmann |
1.4 |
for(int ibin=0;ibin<jzb_cut.size();ibin++) {
|
| 316 |
buchmann |
1.6 |
scan_SUSY_parameter_space(mcjzb,datajzb,jzb_cut,requireZ, peakerror, ibin, njobs, jobnumber);
|
| 317 |
buchmann |
1.4 |
}
|
| 318 |
buchmann |
1.6 |
}
|
