| 1 |
buchmann |
1.1 |
#include <iostream>
|
| 2 |
|
|
#include <vector>
|
| 3 |
|
|
#include <sys/stat.h>
|
| 4 |
|
|
#include <fstream>
|
| 5 |
|
|
|
| 6 |
|
|
#include <TCut.h>
|
| 7 |
|
|
#include <TROOT.h>
|
| 8 |
|
|
#include <TCanvas.h>
|
| 9 |
|
|
#include <TMath.h>
|
| 10 |
|
|
#include <TColor.h>
|
| 11 |
|
|
#include <TPaveText.h>
|
| 12 |
|
|
#include <TRandom.h>
|
| 13 |
|
|
#include <TH1.h>
|
| 14 |
|
|
#include <TH2.h>
|
| 15 |
|
|
#include <TF1.h>
|
| 16 |
|
|
#include <TSQLResult.h>
|
| 17 |
|
|
#include <TProfile.h>
|
| 18 |
|
|
|
| 19 |
|
|
//#include "TTbar_stuff.C"
|
| 20 |
|
|
using namespace std;
|
| 21 |
|
|
|
| 22 |
|
|
using namespace PlottingSetup;
|
| 23 |
|
|
|
| 24 |
|
|
void susy_scan_axis_labeling(TH2F *histo) {
|
| 25 |
|
|
histo->GetXaxis()->SetTitle("#Chi_{2}^{0}-LSP");
|
| 26 |
|
|
histo->GetXaxis()->CenterTitle();
|
| 27 |
|
|
histo->GetYaxis()->SetTitle("m_{#tilde{q}}");
|
| 28 |
|
|
histo->GetYaxis()->CenterTitle();
|
| 29 |
|
|
}
|
| 30 |
|
|
|
| 31 |
|
|
void scan_susy_space(string mcjzb, string datajzb) {
|
| 32 |
|
|
TCanvas *c3 = new TCanvas("c3","c3");
|
| 33 |
|
|
vector<float> binning;
|
| 34 |
|
|
binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
|
| 35 |
|
|
float arrbinning[binning.size()];
|
| 36 |
|
|
for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i];
|
| 37 |
|
|
TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 38 |
|
|
puredata->SetMarkerSize(DataMarkerSize);
|
| 39 |
|
|
TH1F *allbgs = allsamples.Draw("allbgs", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 40 |
|
|
TH1F *allbgsb = allsamples.Draw("allbgsb", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
|
| 41 |
|
|
TH1F *allbgsc = allsamples.Draw("allbgsc", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
|
| 42 |
|
|
allbgs->Add(allbgsb,-1);
|
| 43 |
|
|
allbgs->Add(allbgsc);
|
| 44 |
|
|
int ndata=puredata->Integral();
|
| 45 |
|
|
ofstream myfile;
|
| 46 |
|
|
myfile.open ("susyscan_log.txt");
|
| 47 |
|
|
TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root");
|
| 48 |
|
|
TTree *suevents = (TTree*)susyscanfile->Get("events");
|
| 49 |
|
|
TH2F *exclusionmap = new TH2F("exclusionmap","",20,0,500,20,0,1000);
|
| 50 |
|
|
TH2F *exclusionmap1s = new TH2F("exclusionmap1s","",20,0,500,20,0,1000);
|
| 51 |
|
|
TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000);
|
| 52 |
|
|
TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000);
|
| 53 |
|
|
|
| 54 |
|
|
susy_scan_axis_labeling(exclusionmap);
|
| 55 |
|
|
susy_scan_axis_labeling(exclusionmap1s);
|
| 56 |
|
|
susy_scan_axis_labeling(exclusionmap2s);
|
| 57 |
|
|
susy_scan_axis_labeling(exclusionmap3s);
|
| 58 |
|
|
|
| 59 |
|
|
Int_t MyPalette[100];
|
| 60 |
|
|
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
|
| 61 |
|
|
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
|
| 62 |
|
|
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 63 |
|
|
Double_t stop[] = {0., .25, .50, .75, 1.0};
|
| 64 |
|
|
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100);
|
| 65 |
|
|
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
|
| 66 |
|
|
|
| 67 |
|
|
gStyle->SetPalette(100, MyPalette);
|
| 68 |
|
|
|
| 69 |
|
|
for(int m23=50;m23<500;m23+=25) {
|
| 70 |
|
|
for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50)
|
| 71 |
|
|
{
|
| 72 |
|
|
c3->cd();
|
| 73 |
|
|
stringstream drawcondition;
|
| 74 |
|
|
drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2";
|
| 75 |
|
|
TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning);
|
| 76 |
|
|
TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning);
|
| 77 |
|
|
stringstream drawvar,drawvar2;
|
| 78 |
|
|
drawvar<<mcjzb<<">>puresignal";
|
| 79 |
|
|
drawvar2<<"-"<<mcjzb<<">>puresignall";
|
| 80 |
|
|
suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str());
|
| 81 |
|
|
suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str());
|
| 82 |
|
|
if(puresignal->Integral()<60) {
|
| 83 |
|
|
delete puresignal;
|
| 84 |
|
|
continue;
|
| 85 |
|
|
}
|
| 86 |
|
|
puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !!
|
| 87 |
|
|
puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data
|
| 88 |
|
|
stringstream saveas;
|
| 89 |
|
|
saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23;
|
| 90 |
|
|
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;
|
| 91 |
|
|
// TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 92 |
|
|
// TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 93 |
|
|
// TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 94 |
|
|
// signalpred->Add(signalpredlo,-1);
|
| 95 |
|
|
// signalpred->Add(signalpredro);
|
| 96 |
|
|
// puresignal->Add(signalpred,-1);//subtracting signal contamination
|
| 97 |
|
|
//---------------------
|
| 98 |
|
|
// dout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl;
|
| 99 |
|
|
// TH1F *puresignal = allsamples.Draw("puresignal",mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 100 |
|
|
vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile);
|
| 101 |
|
|
if(results.size()==0) {
|
| 102 |
|
|
delete puresignal;
|
| 103 |
|
|
continue;
|
| 104 |
|
|
}
|
| 105 |
|
|
exclusionmap->Fill(m23,m0,results[0]);
|
| 106 |
|
|
exclusionmap1s->Fill(m23,m0,results[1]);
|
| 107 |
|
|
exclusionmap2s->Fill(m23,m0,results[2]);
|
| 108 |
|
|
exclusionmap3s->Fill(m23,m0,results[3]);
|
| 109 |
|
|
delete puresignal;
|
| 110 |
|
|
dout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl;
|
| 111 |
|
|
}
|
| 112 |
|
|
}//end of model scan for loop
|
| 113 |
|
|
|
| 114 |
|
|
dout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl;
|
| 115 |
|
|
c3->cd();
|
| 116 |
|
|
exclusionmap->Draw("CONTZ");
|
| 117 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values");
|
| 118 |
|
|
exclusionmap->Draw("COLZ");
|
| 119 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values");
|
| 120 |
|
|
|
| 121 |
|
|
exclusionmap1s->Draw("CONTZ");
|
| 122 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values");
|
| 123 |
|
|
exclusionmap1s->Draw("COLZ");
|
| 124 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values");
|
| 125 |
|
|
|
| 126 |
|
|
exclusionmap2s->Draw("CONTZ");
|
| 127 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values");
|
| 128 |
|
|
exclusionmap2s->Draw("COLZ");
|
| 129 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values");
|
| 130 |
|
|
|
| 131 |
|
|
exclusionmap3s->Draw("CONTZ");
|
| 132 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values");
|
| 133 |
|
|
exclusionmap3s->Draw("COLZ");
|
| 134 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values");
|
| 135 |
|
|
|
| 136 |
|
|
TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE");
|
| 137 |
|
|
exclusionmap->Write();
|
| 138 |
|
|
exclusionmap1s->Write();
|
| 139 |
|
|
exclusionmap2s->Write();
|
| 140 |
|
|
exclusionmap3s->Write();
|
| 141 |
|
|
exclusion_limits->Close();
|
| 142 |
|
|
susyscanfile->Close();
|
| 143 |
|
|
|
| 144 |
|
|
myfile.close();
|
| 145 |
|
|
}
|
| 146 |
|
|
|
| 147 |
buchmann |
1.4 |
void efficiency_scan_in_susy_space(string mcjzb, string datajzb, bool requireZ, float peakerror) {
|
| 148 |
|
|
dout << "Doing efficiency scan using " << (scansample.collection)[0].filename << endl;
|
| 149 |
|
|
geqleq="geq";/*
|
| 150 |
buchmann |
1.1 |
automatized=true;
|
| 151 |
buchmann |
1.2 |
mcjzbexpression=mcjzb;
|
| 152 |
buchmann |
1.1 |
|
| 153 |
|
|
string massgluname="MassGlu";
|
| 154 |
|
|
string massLSPname="MassLSP";
|
| 155 |
|
|
|
| 156 |
|
|
Int_t MyPalette[100];
|
| 157 |
|
|
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
|
| 158 |
|
|
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
|
| 159 |
|
|
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 160 |
|
|
Double_t stop[] = {0., .25, .50, .75, 1.0};
|
| 161 |
buchmann |
1.2 |
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 110);
|
| 162 |
buchmann |
1.1 |
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
|
| 163 |
|
|
|
| 164 |
|
|
gStyle->SetPalette(100, MyPalette);
|
| 165 |
|
|
|
| 166 |
|
|
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);
|
| 167 |
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);
|
| 168 |
buchmann |
1.2 |
|
| 169 |
buchmann |
1.1 |
float rightmargin=gStyle->GetPadRightMargin();
|
| 170 |
buchmann |
1.2 |
gStyle->SetPadRightMargin(0.14);
|
| 171 |
|
|
|
| 172 |
buchmann |
1.1 |
TCanvas *effcanvas = new TCanvas("effcanvas","Efficiency canvas");
|
| 173 |
buchmann |
1.2 |
|
| 174 |
buchmann |
1.1 |
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
|
| 175 |
|
|
for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep)
|
| 176 |
|
|
{
|
| 177 |
|
|
float result,resulterr;
|
| 178 |
|
|
stringstream addcut;
|
| 179 |
|
|
addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
|
| 180 |
|
|
MCefficiency((scansample.collection)[0].events,result,resulterr,mcjzb,requireZ,addcut.str());
|
| 181 |
|
|
if(result!=result||isanyinf(result)) {
|
| 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;
|
| 183 |
buchmann |
1.1 |
result=0; // kicking nan and inf errors
|
| 184 |
|
|
}
|
| 185 |
|
|
efficiencymap->Fill(mglu,mlsp,result);
|
| 186 |
buchmann |
1.2 |
|
| 187 |
|
|
(scansample.collection)[0].events->Draw(mcjzb.c_str(),addcut.str().c_str(),"goff");
|
| 188 |
|
|
float nevents = (scansample.collection)[0].events->GetSelectedRows();
|
| 189 |
|
|
Neventsmap->Fill(mglu,mlsp,nevents);
|
| 190 |
buchmann |
1.1 |
}
|
| 191 |
|
|
}
|
| 192 |
|
|
|
| 193 |
|
|
efficiencymap->GetXaxis()->SetTitle("m_{glu}");
|
| 194 |
|
|
efficiencymap->GetXaxis()->CenterTitle();
|
| 195 |
|
|
efficiencymap->GetYaxis()->SetTitle("m_{LSP}");
|
| 196 |
|
|
efficiencymap->GetYaxis()->CenterTitle();
|
| 197 |
|
|
|
| 198 |
buchmann |
1.2 |
Neventsmap->GetXaxis()->SetTitle("m_{glu}");
|
| 199 |
|
|
Neventsmap->GetXaxis()->CenterTitle();
|
| 200 |
|
|
Neventsmap->GetYaxis()->SetTitle("m_{LSP}");
|
| 201 |
|
|
Neventsmap->GetYaxis()->CenterTitle();
|
| 202 |
buchmann |
1.4 |
|
| 203 |
buchmann |
1.1 |
efficiencymap->Draw("COLZ");
|
| 204 |
|
|
TText *title = write_title("Efficiency in LSP-Glu plane");
|
| 205 |
|
|
title->Draw();
|
| 206 |
|
|
CompleteSave(effcanvas,"SUSYScan/Efficency");
|
| 207 |
buchmann |
1.4 |
|
| 208 |
buchmann |
1.2 |
Neventsmap->Draw("COLZ");
|
| 209 |
|
|
TText *title2 = write_title("Number of events in LSP-Glu plane");
|
| 210 |
|
|
title2->Draw();
|
| 211 |
buchmann |
1.4 |
CompleteSave(effcanvas,"SUSYScan/Nevents");*/
|
| 212 |
|
|
}
|
| 213 |
|
|
|
| 214 |
|
|
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, int ibin) {
|
| 215 |
|
|
|
| 216 |
|
|
jzbSel=jzb_cut[ibin];
|
| 217 |
|
|
geqleq="geq";
|
| 218 |
|
|
automatized=true;
|
| 219 |
|
|
mcjzbexpression=mcjzb;
|
| 220 |
|
|
|
| 221 |
|
|
string massgluname="MassGlu";
|
| 222 |
|
|
string massLSPname="MassLSP";
|
| 223 |
|
|
|
| 224 |
|
|
Int_t MyPalette[100];
|
| 225 |
|
|
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
|
| 226 |
|
|
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
|
| 227 |
|
|
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 228 |
|
|
Double_t stop[] = {0., .25, .50, .75, 1.0};
|
| 229 |
|
|
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 110);
|
| 230 |
|
|
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
|
| 231 |
|
|
|
| 232 |
|
|
gStyle->SetPalette(100, MyPalette);
|
| 233 |
|
|
|
| 234 |
|
|
TH2F *limitmap = new TH2F("limitmap","",(mgluend-mglustart)/mglustep+1,mglustart-0.5*mglustep,mgluend+0.5*mglustep,(mLSPend-mLSPstart)/mLSPstep+1,mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);
|
| 235 |
|
|
|
| 236 |
|
|
float rightmargin=gStyle->GetPadRightMargin();
|
| 237 |
|
|
gStyle->SetPadRightMargin(0.15);
|
| 238 |
|
|
|
| 239 |
|
|
TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas");
|
| 240 |
|
|
|
| 241 |
|
|
for(int mglu=mglustart;mglu<=mgluend;mglu+=mglustep) {
|
| 242 |
|
|
for (int mlsp=mLSPstart;mlsp<=mLSPend&&mlsp<=mglu;mlsp+=mLSPstep)
|
| 243 |
|
|
{
|
| 244 |
|
|
float result,resulterr;
|
| 245 |
|
|
stringstream addcut;
|
| 246 |
|
|
addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)";
|
| 247 |
|
|
vector<vector<float> > systematics;
|
| 248 |
|
|
do_systematics_for_one_file((scansample.collection)[0].events,"SUSY SCAN", systematics,mcjzb,datajzb,peakerror,requireZ, addcut.str());
|
| 249 |
|
|
float JZBcutat=systematics[0][0];
|
| 250 |
|
|
float mceff=systematics[0][1];
|
| 251 |
|
|
float toterr =systematics[0][4];
|
| 252 |
|
|
if(mceff!=mceff||toterr!=toterr) {
|
| 253 |
|
|
dout << "Limits can't be calculated in this configuration as either the efficiency or its error are not numbers! (mceff="<<mceff<<" and toterr="<<toterr<<")"<< endl;
|
| 254 |
|
|
continue;
|
| 255 |
|
|
}
|
| 256 |
|
|
vector<float> sigmas = compute_one_upper_limit(mceff,toterr,ibin,mcjzb);
|
| 257 |
|
|
limitmap->Fill(mglu,mlsp,sigmas[0]);
|
| 258 |
|
|
dout << "A limit has been added at " << sigmas[0] << " for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl;
|
| 259 |
|
|
}
|
| 260 |
|
|
}
|
| 261 |
|
|
|
| 262 |
|
|
limitmap->GetXaxis()->SetTitle("m_{glu}");
|
| 263 |
|
|
limitmap->GetXaxis()->CenterTitle();
|
| 264 |
|
|
limitmap->GetYaxis()->SetTitle("m_{LSP}");
|
| 265 |
|
|
limitmap->GetYaxis()->CenterTitle();
|
| 266 |
|
|
|
| 267 |
|
|
limitmap->GetXaxis()->SetTitle("m_{glu}");
|
| 268 |
|
|
limitmap->GetXaxis()->CenterTitle();
|
| 269 |
|
|
limitmap->GetYaxis()->SetTitle("m_{LSP}");
|
| 270 |
|
|
limitmap->GetYaxis()->CenterTitle();
|
| 271 |
|
|
|
| 272 |
|
|
limcanvas->cd();
|
| 273 |
|
|
limitmap->Draw("COLZ");
|
| 274 |
|
|
TText *title = write_title("Limits in LSP-Glu plane");
|
| 275 |
|
|
title->Draw();
|
| 276 |
|
|
CompleteSave(limcanvas,"SUSYScan/Limits_JZB_geq"+any2string(jzb_cut[ibin]));
|
| 277 |
buchmann |
1.1 |
}
|
| 278 |
buchmann |
1.4 |
|
| 279 |
|
|
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror) {
|
| 280 |
|
|
for(int ibin=0;ibin<jzb_cut.size();ibin++) {
|
| 281 |
|
|
scan_SUSY_parameter_space(mcjzb,datajzb,jzb_cut,requireZ, peakerror, ibin);
|
| 282 |
|
|
}
|
| 283 |
|
|
} |
