| 1 |
buchmann |
1.1 |
#include <iostream>
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| 2 |
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#include <vector>
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| 3 |
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#include <sys/stat.h>
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| 5 |
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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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| 17 |
buchmann |
1.9 |
//#include "TTbar_stuff.C"
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| 18 |
buchmann |
1.1 |
using namespace std;
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| 20 |
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using namespace PlottingSetup;
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void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result)
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{
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| 24 |
buchmann |
1.8 |
TH1F *rawJZBeemmMC = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
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TH1F *rawJZBeemmData = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
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TH1F *rawJZBemMC = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
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TH1F *rawJZBemData = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
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buchmann |
1.1 |
TH1F *rawttbarjzbeemmMC;
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if(method==doKM) {
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//we only need this histo for the KM fitting...
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buchmann |
1.8 |
rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB (GeV)", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
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| 33 |
buchmann |
1.1 |
MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
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DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
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}
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else {
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TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
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TH1F *reducedData = (TH1F*)rawJZBeemmData->Clone();
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reducedMC->Add(rawJZBemMC,-1);
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reducedData->Add(rawJZBemData,-1);
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//this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
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MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
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DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
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buchmann |
1.11 |
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buchmann |
1.1 |
}
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buchmann |
1.11 |
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buchmann |
1.1 |
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// MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
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// DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
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cout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
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result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
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cout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
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result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
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}
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void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
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TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
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TH1F *datahistoOSSF = allsamples.Draw("datahistoOSSF","mll",nbins,min,max, xlabel, "events",cutOSSF&&cutnJets&&basiccut,data,luminosity);
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THStack mcstackOSSF = allsamples.DrawStack("mcstackOSSF","mll",nbins,min,max, xlabel, "events",cutOSSF&&cutnJets&&basiccut,mc,luminosity);
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TH1F *datahistoOSOF = allsamples.Draw("datahistoOSSF","mll",nbins,min,max, xlabel, "events",cutOSOF&&cutnJets&&basiccut,data,luminosity);
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if(logscale) ckin->SetLogy(1);
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datahistoOSSF->GetXaxis()->SetTitle(xlabel.c_str());
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datahistoOSSF->GetXaxis()->CenterTitle();
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datahistoOSSF->GetYaxis()->SetTitle("events");
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datahistoOSSF->GetYaxis()->CenterTitle();
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datahistoOSSF->Draw();
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mcstackOSSF.Draw("same");
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datahistoOSSF->Draw("same");
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datahistoOSOF->SetMarkerColor(kOrange);
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datahistoOSOF->Draw("same");
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TLegend *kinleg = allsamples.allbglegend();
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kinleg->AddEntry(datahistoOSOF,"OSOF (data)","p");
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kinleg->Draw();
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CompleteSave(ckin,"kin/mll_ossf_osof_distribution");
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}
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void make_plot(string variable, int nbins, float min, float max, bool logscale,string xlabel, string filename,bool isPF=true) {
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// TCut basiccut("(pfJetGoodNum>=2&&pfJetGoodID[0])&&(pfJetGoodNum>=2&&pfJetGoodID[1])&&(passed_triggers||!is_data)");
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TCut ibasiccut=basiccut;
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if(isPF) ibasiccut=basiccut&&"pfjzb[0]>-998";
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//Step 1: Adapt the variable (if we're dealing with PF we need to adapt the variable!)
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if(isPF) {
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if(variable=="mll") variable="pfmll[0]";
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if(variable=="jetpt[0]") variable="pfJetGoodPt[0]";
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if(variable=="jeteta[0]") variable="pfJetGoodEta[0]";
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if(variable=="pt") variable="pfpt[0]";
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if(variable=="pt1") variable="pfpt1[0]";
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if(variable=="eta1") variable="pfeta1[0]";
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if(variable=="jzb[1]") variable="pfjzb[0]";
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//if(variable=="pfJetGoodNum") variable="pfJetGoodNum"; // pointless.
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}
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//Step 2: Refine the cut
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TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
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ckin->SetLogy(logscale);
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TCut cut;
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cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
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if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
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if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
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if(filename=="mll") cut=cutOSSF&&cutnJets&&ibasiccut;
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if(filename=="mll_inclusive") cut=cutOSSF;
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if(filename=="pfJetGoodEta_0") cut=cutOSSF&&cutmass&&ibasiccut;
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TH1F *datahisto = allsamples.Draw("datahisto",variable,nbins,min,max, xlabel, "events",cut,data,luminosity);
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THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
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if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
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if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
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if(filename=="mll_inclusive") datahisto->SetMinimum(1);
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// if(filename=="Zpt") datahisto->SetMaximum(300);
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datahisto->Draw("e1");
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mcstack.Draw("same");
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datahisto->Draw("same,e1");
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| 121 |
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TLegend *kinleg = allsamples.allbglegend();
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kinleg->Draw();
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TText* write_cut = write_title(decipher_cut(cut,basicqualitycut));
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// cout << "The file " << filename << " will have the cut " << (const char*)cut << " which is interpreted as " << decipher_cut(cut) << endl;
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write_cut->Draw();
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TText* write_variable = write_text(0.99,0.01,variable);
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write_variable->SetTextAlign(31);
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| 128 |
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write_variable->SetTextSize(0.02);
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write_variable->Draw();
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if(isPF) CompleteSave(ckin,"kin/"+filename+"__PF");
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else CompleteSave(ckin,"kin/"+filename);
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datahisto->Delete();
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}
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| 135 |
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void do_kinematic_plots(bool doPF=false)
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{
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bool dolog=true;
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bool nolog=false;
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make_plot("mll",50,50,150,dolog,"m_{ll} (GeV)","mll",doPF);
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make_plot("mll",100,50,150,dolog,"m_{ll} (GeV)","mll_inclusive",doPF);
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| 141 |
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make_plot("jetpt[0]",40,0,200,dolog,"leading jet p_{T} (GeV)","pfJetGoodPt_0",doPF);
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make_plot("jeteta[0]",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
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make_plot("pt",50,0,200,dolog,"Z p_{T} (GeV)","Zpt",doPF);
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make_plot("pt1",50,0,100,nolog,"p_{T} (GeV)","pt",doPF);
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make_plot("eta1",40,-5,5,nolog,"#eta_{l}","eta",doPF);
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make_plot("jzb[1]",100,-150,150,dolog,"JZB (GeV)","jzb_ossf",doPF);
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make_plot("pfJetGoodNum",8,0.5,8.5,dolog,"nJets","nJets",doPF);
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| 148 |
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make_plot("pfJetGoodNum",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
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make_special_mll_plot(30,50,150,dolog,"m_{ll} (GeV)");
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| 150 |
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}
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| 151 |
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| 152 |
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void do_kinematic_PF_plots()
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| 153 |
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{
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| 154 |
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do_kinematic_plots(true);
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| 155 |
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}
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| 156 |
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| 157 |
buchmann |
1.11 |
void signal_bg_comparison()
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| 158 |
buchmann |
1.1 |
{
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| 159 |
buchmann |
1.11 |
TCanvas *can = new TCanvas("can","Signal Background Comparison Canvas");
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| 160 |
buchmann |
1.1 |
int sbg_nbins=100;
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| 161 |
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float sbg_min=-200;
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float sbg_max=400;
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| 163 |
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can->SetLogy(1);
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| 164 |
buchmann |
1.8 |
TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB (GeV)", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("DYJetsToLL"));
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| 165 |
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TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB (GeV)", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("LM4"));
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| 166 |
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TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB (GeV)", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJets"));
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| 167 |
buchmann |
1.1 |
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| 168 |
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JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
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| 169 |
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JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
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| 170 |
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JZBplotTtbar->SetLineWidth(2);
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| 171 |
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JZBplotZJETs->SetFillColor(allsamples.GetColor("DY"));
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| 172 |
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JZBplotZJETs->SetLineColor(kBlack);
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| 173 |
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JZBplotLM4->SetLineWidth(2);
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| 174 |
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JZBplotLM4->SetLineStyle(2);
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| 175 |
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JZBplotZJETs->SetMinimum(0.05);
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| 176 |
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JZBplotLM4->Scale(20.0);
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| 177 |
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JZBplotZJETs->Draw("histo");
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| 178 |
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JZBplotLM4->Draw("histo,same");
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| 179 |
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JZBplotTtbar->Draw("histo,same");
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| 180 |
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TLegend *signal_bg_comparison_leg = make_legend("MC:");
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| 181 |
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signal_bg_comparison_leg->AddEntry(JZBplotZJETs,"Z+Jets","f");
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| 182 |
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signal_bg_comparison_leg->AddEntry(JZBplotTtbar,"t#bar{t}","f");
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| 183 |
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signal_bg_comparison_leg->AddEntry(JZBplotLM4,"20xLM4","f");
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| 184 |
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signal_bg_comparison_leg->Draw();
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| 185 |
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CompleteSave(can,"jzb_bg_vs_signal_distribution");
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| 186 |
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JZBplotLM4->Scale(1.0/20);
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| 187 |
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JZBplotZJETs->SetMinimum(0.004);
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| 188 |
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JZBplotZJETs->Draw("histo");
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| 189 |
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JZBplotLM4->Draw("histo,same");
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| 190 |
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JZBplotTtbar->Draw("histo,same");
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| 191 |
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TLegend *signal_bg_comparison_leg2 = make_legend("MC:");
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| 192 |
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signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
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| 193 |
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signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
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| 194 |
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signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
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| 195 |
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signal_bg_comparison_leg2->Draw();
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| 196 |
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CompleteSave(can,"jzb_bg_vs_signal_distribution_unscaled_LM4");
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| 197 |
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}
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| 198 |
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| 199 |
buchmann |
1.9 |
//TF1 *BpredFunc,*BpredFuncP,*BpredFuncN;
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| 200 |
buchmann |
1.1 |
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| 201 |
buchmann |
1.9 |
vector<TF1*> do_cb_fit_to_plot(TH1F *histo, float Sigma, float doingfitacrosstheboard=false) {
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| 202 |
buchmann |
1.1 |
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| 203 |
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// BpredFunc = new TF1("BpredFunc",InvCrystalBall,0,histo->GetBinLowEdge(histo->GetNbinsX())+histo->GetBinWidth(histo->GetNbinsX()),5);
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| 204 |
buchmann |
1.9 |
TF1 *BpredFunc = new TF1("BpredFunc",InvCrystalBall,0,1000,5);
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| 205 |
buchmann |
1.1 |
BpredFunc->SetParameter(0,histo->GetBinContent(1));
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| 206 |
buchmann |
1.6 |
if(doingfitacrosstheboard) BpredFunc->SetParameter(0,histo->GetMaximum());
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| 207 |
buchmann |
1.1 |
BpredFunc->SetParameter(1,0.);
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| 208 |
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if(method==1) BpredFunc->SetParameter(2,10*Sigma);//KM
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| 209 |
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else BpredFunc->SetParameter(2,Sigma);//Gaussian based methods
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| 210 |
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if(method==-99) BpredFunc->SetParameter(2,2.0*Sigma);//Kostas
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| 211 |
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BpredFunc->SetParameter(3,1.8);
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| 212 |
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BpredFunc->SetParameter(4,2.5);
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| 213 |
buchmann |
1.11 |
histo->Fit(BpredFunc,"QN0");
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| 214 |
buchmann |
1.1 |
BpredFunc->SetLineColor(kBlue);
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| 215 |
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BpredFunc->SetLineWidth(1);
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| 216 |
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| 217 |
buchmann |
1.9 |
TF1 *BpredFuncP = new TF1("BpredFuncP",InvCrystalBallP,-1000,histo->GetBinLowEdge(histo->GetNbinsX())+histo->GetBinWidth(histo->GetNbinsX()),5);
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| 218 |
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TF1 *BpredFuncN = new TF1("BpredFuncN",InvCrystalBallN,-1000,histo->GetBinLowEdge(histo->GetNbinsX())+histo->GetBinWidth(histo->GetNbinsX()),5);
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| 219 |
buchmann |
1.1 |
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| 220 |
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BpredFuncP->SetParameters(BpredFunc->GetParameters());
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| 221 |
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BpredFuncP->SetLineColor(kBlue);
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| 222 |
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BpredFuncP->SetLineWidth(1);
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| 223 |
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BpredFuncP->SetLineStyle(2);
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| 224 |
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| 225 |
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BpredFuncN->SetParameters(BpredFunc->GetParameters());
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| 226 |
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BpredFuncN->SetLineColor(kBlue);
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| 227 |
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BpredFuncN->SetLineWidth(1);
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| 228 |
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BpredFuncN->SetLineStyle(2);
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| 229 |
buchmann |
1.9 |
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| 230 |
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vector<TF1*> functions;
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| 231 |
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functions.push_back(BpredFuncN);
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| 232 |
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functions.push_back(BpredFunc);
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| 233 |
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functions.push_back(BpredFuncP);
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| 234 |
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return functions;
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| 235 |
buchmann |
1.1 |
}
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| 236 |
|
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void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, bool is_data, bool do_fit=true)
|
| 237 |
|
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{
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| 238 |
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int nbins=100;
|
| 239 |
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if(is_data) nbins=50;
|
| 240 |
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float low=0;
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| 241 |
|
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float hi=500;
|
| 242 |
|
|
|
| 243 |
|
|
TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity);
|
| 244 |
|
|
TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity);
|
| 245 |
|
|
TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity);
|
| 246 |
|
|
TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity);
|
| 247 |
|
|
|
| 248 |
|
|
TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone();
|
| 249 |
|
|
Bpred->Add(RcorrJZBem);
|
| 250 |
|
|
Bpred->Add(LcorrJZBem,-1);
|
| 251 |
|
|
globalcanvas->cd();
|
| 252 |
|
|
globalcanvas->SetLogy(1);
|
| 253 |
|
|
Bpred->SetLineColor(kRed);
|
| 254 |
|
|
Bpred->SetStats(0);
|
| 255 |
|
|
Bpred->GetXaxis()->SetRangeUser(0,high);
|
| 256 |
|
|
Bpred->Draw("hist");
|
| 257 |
|
|
RcorrJZBeemm->SetMarkerStyle(20);
|
| 258 |
|
|
RcorrJZBeemm->Draw("e1x0,same");
|
| 259 |
buchmann |
1.12 |
TLegend *legBpred = make_legend("",0.6,0.5);
|
| 260 |
buchmann |
1.1 |
|
| 261 |
|
|
if(is_data)
|
| 262 |
|
|
{
|
| 263 |
buchmann |
1.12 |
// legBpred->SetY1(0.5);
|
| 264 |
|
|
// legBpred->SetX1(0.6);
|
| 265 |
buchmann |
1.9 |
vector<TF1*> functions = do_cb_fit_to_plot(Bpred,sigma);
|
| 266 |
|
|
functions[0]->Draw("same");functions[1]->Draw("same");functions[2]->Draw("same");
|
| 267 |
buchmann |
1.12 |
legBpred->AddEntry(RcorrJZBeemm,"observed (data)","p");
|
| 268 |
buchmann |
1.1 |
legBpred->AddEntry(Bpred,"predicted (data)","l");
|
| 269 |
buchmann |
1.9 |
legBpred->AddEntry(functions[0],"predicted fit (data)","l");
|
| 270 |
|
|
legBpred->AddEntry(functions[1],"stat. uncert.","l");
|
| 271 |
buchmann |
1.1 |
legBpred->Draw();
|
| 272 |
|
|
CompleteSave(globalcanvas,"Bpred_Data");
|
| 273 |
|
|
}
|
| 274 |
|
|
else {
|
| 275 |
|
|
legBpred->AddEntry(RcorrJZBeemm,"MC true B","l");
|
| 276 |
|
|
legBpred->AddEntry(Bpred,"data-driven B","l");
|
| 277 |
|
|
legBpred->Draw();
|
| 278 |
|
|
CompleteSave(globalcanvas,"Bpred_MC");
|
| 279 |
|
|
}
|
| 280 |
|
|
}
|
| 281 |
|
|
|
| 282 |
buchmann |
1.11 |
void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma) {
|
| 283 |
|
|
TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
|
| 284 |
buchmann |
1.1 |
do_prediction_plot(datajzb,globalcanvas,DataSigma,350,data);
|
| 285 |
|
|
do_prediction_plot(mcjzb,globalcanvas,MCSigma,300,mc);
|
| 286 |
|
|
}
|
| 287 |
|
|
|
| 288 |
|
|
void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
|
| 289 |
|
|
bool do_data=0;
|
| 290 |
|
|
bool dosignal=0;
|
| 291 |
|
|
if(is_data==1) do_data=1;
|
| 292 |
|
|
if(is_data==2) dosignal=1;
|
| 293 |
|
|
TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
|
| 294 |
|
|
TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
|
| 295 |
|
|
TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
|
| 296 |
|
|
TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
|
| 297 |
|
|
|
| 298 |
|
|
TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone();
|
| 299 |
|
|
Bpred->Add(RcorrJZBem);
|
| 300 |
|
|
Bpred->Add(LcorrJZBem,-1);
|
| 301 |
|
|
can->cd();
|
| 302 |
|
|
can->SetLogy(0);
|
| 303 |
|
|
Bpred->SetLineColor(kRed);
|
| 304 |
|
|
Bpred->SetStats(0);
|
| 305 |
|
|
if(high>0) Bpred->GetXaxis()->SetRangeUser(0,high);
|
| 306 |
|
|
TGraphAsymmErrors *JZBratio = histRatio(RcorrJZBeemm,Bpred,is_data,binning);
|
| 307 |
|
|
TH1F *JZBratioforfitting=(TH1F*)RcorrJZBeemm->Clone();
|
| 308 |
|
|
JZBratioforfitting->Divide(Bpred);
|
| 309 |
|
|
|
| 310 |
|
|
JZBratio->SetTitle("");
|
| 311 |
|
|
JZBratio->GetYaxis()->SetRangeUser(0.0,9.0);
|
| 312 |
|
|
if(is_data==1) JZBratio->GetXaxis()->SetRangeUser(0,350);
|
| 313 |
|
|
|
| 314 |
|
|
TF1 *pol0 = new TF1("pol0","[0]",0,1000);
|
| 315 |
|
|
TF1 *pol0d = new TF1("pol0","[0]",0,1000);
|
| 316 |
|
|
// straightline_fit->SetParameter(0,1);
|
| 317 |
|
|
JZBratioforfitting->Fit(pol0,"Q0R","",0,30);
|
| 318 |
|
|
pol0d->SetParameter(0,pol0->GetParameter(0));
|
| 319 |
|
|
|
| 320 |
|
|
JZBratio->GetYaxis()->SetTitle("Observed/Predicted");
|
| 321 |
|
|
JZBratio->GetXaxis()->SetTitle("JZB (GeV)");
|
| 322 |
|
|
JZBratio->GetYaxis()->SetNdivisions(519);
|
| 323 |
|
|
JZBratio->GetYaxis()->SetRangeUser(0.0,9.0);
|
| 324 |
|
|
JZBratio->Draw("AP");
|
| 325 |
|
|
/////----------------------------
|
| 326 |
|
|
TPaveText *writeresult = new TPaveText(0.2,0.78,0.49,0.91,"blNDC");
|
| 327 |
|
|
writeresult->SetFillStyle(4000);
|
| 328 |
|
|
writeresult->SetFillColor(kWhite);
|
| 329 |
|
|
writeresult->SetTextFont(42);
|
| 330 |
|
|
ostringstream jzb_agreement_data_text;
|
| 331 |
|
|
jzb_agreement_data_text<< setprecision(2) << "mean =" << pol0->GetParameter(0) << " #pm " << setprecision(1) << pol0->GetParError(0);
|
| 332 |
|
|
if(is_data==1) fitresultconstdata=pol0->GetParameter(0);// data
|
| 333 |
|
|
if(is_data==0) fitresultconstmc=pol0->GetParameter(0); // monte carlo, no signal
|
| 334 |
|
|
/* if(is_data) writeresult->AddText("Data closure test");
|
| 335 |
|
|
else writeresult->AddText("MC closure test");
|
| 336 |
|
|
*/
|
| 337 |
|
|
writeresult->AddText(jzb_agreement_data_text.str().c_str());
|
| 338 |
|
|
writeresult->Draw("same");
|
| 339 |
|
|
pol0d->Draw("same");
|
| 340 |
|
|
TF1 *topline = new TF1("","1.2",0,1000);
|
| 341 |
|
|
TF1 *bottomline = new TF1("","0.6",0,1000);
|
| 342 |
|
|
topline->SetLineColor(kBlue);
|
| 343 |
|
|
topline->SetLineStyle(2);
|
| 344 |
|
|
bottomline->SetLineColor(kBlue);
|
| 345 |
|
|
bottomline->SetLineStyle(2);
|
| 346 |
|
|
topline->Draw("same");
|
| 347 |
|
|
bottomline->Draw("same");
|
| 348 |
|
|
TF1 *oneline = new TF1("","1.0",0,1000);
|
| 349 |
|
|
oneline->SetLineColor(kBlue);
|
| 350 |
|
|
oneline->SetLineStyle(1);
|
| 351 |
|
|
oneline->Draw("same");
|
| 352 |
|
|
TLegend *phony_leg = make_legend("ratio");//this line is just to have the default CMS Preliminary bla on the canvas as well.
|
| 353 |
|
|
TLegend *leg = new TLegend(0.60,0.5,0.94,0.77);
|
| 354 |
|
|
leg->SetTextFont(42);
|
| 355 |
|
|
if(is_data==1) leg->SetHeader("Ratio (data)");// = make_legend("Ratio (data)");
|
| 356 |
|
|
else leg->SetHeader("Ratio (MC)"); //leg = make_legend("Ratio (MC)");
|
| 357 |
|
|
|
| 358 |
|
|
leg->SetFillStyle(4000);
|
| 359 |
|
|
leg->SetFillColor(kWhite);
|
| 360 |
|
|
leg->SetTextFont(42);
|
| 361 |
|
|
// leg->AddEntry(topline,"+20\% sys envelope","l");
|
| 362 |
|
|
leg->AddEntry(JZBratio,"obs/pred","p");
|
| 363 |
|
|
leg->AddEntry(oneline,"ratio = 1","l");
|
| 364 |
|
|
leg->AddEntry(pol0d,"fit in [0,30] GeV","l");
|
| 365 |
|
|
leg->AddEntry(bottomline,"sys. envelope","l");
|
| 366 |
|
|
leg->Draw("same");
|
| 367 |
|
|
if(is_data==1) CompleteSave(can, "jzb_ratio_data");
|
| 368 |
|
|
if(is_data==0) CompleteSave(can, "jzb_ratio_mc");
|
| 369 |
|
|
if(is_data==2) CompleteSave(can, "jzb_ratio_mc_BandS");//special case, MC with signal!
|
| 370 |
|
|
|
| 371 |
|
|
delete RcorrJZBeemm;
|
| 372 |
|
|
delete LcorrJZBeemm;
|
| 373 |
|
|
delete RcorrJZBem;
|
| 374 |
|
|
delete LcorrJZBem;
|
| 375 |
|
|
}
|
| 376 |
|
|
|
| 377 |
buchmann |
1.11 |
void do_ratio_plots(string mcjzb,string datajzb) {
|
| 378 |
|
|
TCanvas *globalc = new TCanvas("globalc","Ratio Plot Canvas");
|
| 379 |
buchmann |
1.1 |
globalc->SetLogy(0);
|
| 380 |
|
|
vector<float> ratio_binning;
|
| 381 |
|
|
ratio_binning.push_back(0);
|
| 382 |
|
|
ratio_binning.push_back(5);
|
| 383 |
|
|
ratio_binning.push_back(10);
|
| 384 |
|
|
ratio_binning.push_back(20);
|
| 385 |
|
|
ratio_binning.push_back(50);
|
| 386 |
|
|
ratio_binning.push_back(100);
|
| 387 |
|
|
ratio_binning.push_back(350);
|
| 388 |
|
|
ratio_binning.push_back(500);
|
| 389 |
|
|
|
| 390 |
|
|
do_ratio_plot(mc,ratio_binning,mcjzb,globalc);
|
| 391 |
|
|
do_ratio_plot(data,ratio_binning,datajzb,globalc);
|
| 392 |
|
|
do_ratio_plot(mcwithsignal,ratio_binning,mcjzb,globalc);
|
| 393 |
|
|
}
|
| 394 |
|
|
|
| 395 |
buchmann |
1.8 |
string give_jzb_expression(float peak, int type) {
|
| 396 |
buchmann |
1.1 |
stringstream val;
|
| 397 |
buchmann |
1.8 |
if(type==data) {
|
| 398 |
|
|
if(peak<0) val << jzbvariabledata << "+" << TMath::Abs(peak);
|
| 399 |
|
|
if(peak>0) val << jzbvariabledata << "-" << TMath::Abs(peak);
|
| 400 |
|
|
if(peak==0) val << jzbvariabledata;
|
| 401 |
|
|
}
|
| 402 |
|
|
if(type==mc) {
|
| 403 |
|
|
if(peak<0) val << jzbvariablemc << "+" << TMath::Abs(peak);
|
| 404 |
|
|
if(peak>0) val << jzbvariablemc << "-" << TMath::Abs(peak);
|
| 405 |
|
|
if(peak==0) val << jzbvariablemc;
|
| 406 |
|
|
}
|
| 407 |
buchmann |
1.1 |
return val.str();
|
| 408 |
|
|
}
|
| 409 |
|
|
|
| 410 |
|
|
string centralupdownname(int num) {
|
| 411 |
|
|
if (num==0) return "central";
|
| 412 |
|
|
if (num==1) return "down";
|
| 413 |
|
|
if (num==2) return "up";
|
| 414 |
|
|
return "centralupdownnameERROR";
|
| 415 |
|
|
}
|
| 416 |
|
|
|
| 417 |
|
|
string dataormc(int isdata) {
|
| 418 |
|
|
if(isdata) return "Data";
|
| 419 |
|
|
else return "MC";
|
| 420 |
|
|
}
|
| 421 |
|
|
|
| 422 |
|
|
int histocounter=0;
|
| 423 |
|
|
string give_histo_number(string basename="", int isdata=-1, int centralcounter=-1) {
|
| 424 |
|
|
histocounter++;
|
| 425 |
|
|
stringstream histocounternum;
|
| 426 |
|
|
if(isdata==-1) {
|
| 427 |
|
|
if(basename=="") histocounternum << histocounter;
|
| 428 |
|
|
else histocounternum << basename << "_" << histocounter;
|
| 429 |
|
|
}
|
| 430 |
|
|
else {
|
| 431 |
|
|
histocounternum << basename << "_" << dataormc(isdata) << "_" << centralupdownname(centralcounter);
|
| 432 |
|
|
}
|
| 433 |
|
|
return histocounternum.str();
|
| 434 |
|
|
}
|
| 435 |
|
|
|
| 436 |
|
|
int central=0;
|
| 437 |
|
|
int down=1;
|
| 438 |
|
|
int up=2;
|
| 439 |
|
|
|
| 440 |
|
|
void crunch_the_numbers(TH1F *RcorrJZBeemmop[3][2],TH1F *RcorrJZBeeop[3][2],TH1F *RcorrJZBmmop[3][2],TH1F *LcorrJZBeemmop[3][2],TH1F *LcorrJZBeeop[3][2],TH1F *LcorrJZBmmop[3][2],TH1F *RcorrJZBemop[3][2],TH1F *LcorrJZBemop[3][2],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],float predicted[3][2][20],float observed[3][2][20],int isdata,vector<float> jzbcuts,float eemmmumu[2][3][20]) {
|
| 441 |
|
|
// cout << "Crunching the numbers for is_data=" << isdata << endl;
|
| 442 |
|
|
for(int k=0;k<20;k++) {for(int i=0;i<2;i++){for(int j=0;j<3;j++) {eemmmumu[i][j][k]=0;}}}
|
| 443 |
|
|
for(int icut=0;icut<jzbcuts.size()-1;icut++) {//do calculation for each JZB cut
|
| 444 |
|
|
for(int ibin=1;ibin<jzbcuts.size();ibin++) {//and to do that, we need to consider each bin.
|
| 445 |
|
|
if(RcorrJZBeemmop[0][isdata]->GetBinLowEdge(ibin)<jzbcuts[icut]) continue;
|
| 446 |
|
|
// if(icut==0) cout << "Predicted+=" << LcorrJZBeemmop[central][isdata]->GetBinContent(ibin) << " eemm,L" << endl;
|
| 447 |
|
|
predicted[central][isdata][icut]+=LcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
|
| 448 |
|
|
predicted[up][isdata][icut]+=LcorrJZBeemmop[up][isdata]->GetBinContent(ibin);
|
| 449 |
|
|
predicted[down][isdata][icut]+=LcorrJZBeemmop[down][isdata]->GetBinContent(ibin);
|
| 450 |
|
|
|
| 451 |
|
|
// if(icut==0) cout << "Predicted+=" << RcorrJZBemop[central][isdata]->GetBinContent(ibin) << " em, R" << endl;
|
| 452 |
|
|
predicted[central][isdata][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 453 |
|
|
predicted[up][isdata][icut]+=RcorrJZBemop[up][isdata]->GetBinContent(ibin);
|
| 454 |
|
|
predicted[down][isdata][icut]+=RcorrJZBemop[down][isdata]->GetBinContent(ibin);
|
| 455 |
|
|
|
| 456 |
|
|
// if(icut==0) cout << "Predicted-=" << LcorrJZBemop[central][isdata]->GetBinContent(ibin) <<" em, L" << endl;
|
| 457 |
|
|
predicted[central][isdata][icut]-=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 458 |
|
|
predicted[up][isdata][icut]-=LcorrJZBemop[up][isdata]->GetBinContent(ibin);
|
| 459 |
|
|
predicted[down][isdata][icut]-=LcorrJZBemop[down][isdata]->GetBinContent(ibin);
|
| 460 |
|
|
|
| 461 |
|
|
// if(icut==0) cout << "Observed=" << RcorrJZBeemmop[central][isdata]->GetBinContent(ibin) << "eemm, R" << endl;
|
| 462 |
|
|
observed[central][isdata][icut]+=RcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
|
| 463 |
|
|
observed[up][isdata][icut]+=RcorrJZBeemmop[up][isdata]->GetBinContent(ibin);
|
| 464 |
|
|
observed[down][isdata][icut]+=RcorrJZBeemmop[down][isdata]->GetBinContent(ibin);
|
| 465 |
|
|
|
| 466 |
|
|
zjetsestimate[central][isdata][icut]+=LcorrJZBeemmop[central][isdata]->GetBinContent(ibin);
|
| 467 |
|
|
ttbarestimate[central][isdata][0][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 468 |
|
|
ttbarestimate[central][isdata][1][icut]+=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 469 |
|
|
|
| 470 |
|
|
eemmmumu[0][0][icut]+=LcorrJZBeeop[central][isdata]->GetBinContent(ibin);
|
| 471 |
|
|
eemmmumu[0][1][icut]+=LcorrJZBmmop[central][isdata]->GetBinContent(ibin);
|
| 472 |
|
|
eemmmumu[0][2][icut]+=LcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 473 |
|
|
|
| 474 |
|
|
eemmmumu[1][0][icut]+=RcorrJZBeeop[central][isdata]->GetBinContent(ibin);
|
| 475 |
|
|
eemmmumu[1][1][icut]+=RcorrJZBmmop[central][isdata]->GetBinContent(ibin);
|
| 476 |
|
|
eemmmumu[1][2][icut]+=RcorrJZBemop[central][isdata]->GetBinContent(ibin);
|
| 477 |
|
|
|
| 478 |
|
|
}//end of ibin loop
|
| 479 |
|
|
}//end of icut loop
|
| 480 |
|
|
}
|
| 481 |
|
|
|
| 482 |
|
|
void make_table(float eemmmumu[2][3][20],int icut,float JZBcut) {
|
| 483 |
|
|
vector< vector <string> > entries;
|
| 484 |
|
|
vector <string> line;
|
| 485 |
|
|
line.push_back("");
|
| 486 |
|
|
line.push_back("eemm (ee/mm)");
|
| 487 |
|
|
line.push_back("em");
|
| 488 |
|
|
entries.push_back(line);
|
| 489 |
|
|
line.clear();
|
| 490 |
|
|
line.push_back("JZB>"+any2string(JZBcut));
|
| 491 |
|
|
line.push_back(any2string(eemmmumu[1][0][icut]+eemmmumu[1][1][icut])+"("+any2string(eemmmumu[1][0][icut])+"/"+any2string(eemmmumu[1][1][icut])+")");
|
| 492 |
|
|
line.push_back(any2string(eemmmumu[1][2][icut]));
|
| 493 |
|
|
entries.push_back(line);
|
| 494 |
|
|
line.clear();
|
| 495 |
|
|
line.push_back("JZB<-"+any2string(JZBcut));
|
| 496 |
|
|
line.push_back(any2string(eemmmumu[0][0][icut]+eemmmumu[0][1][icut])+"("+any2string(eemmmumu[0][0][icut])+"/"+any2string(eemmmumu[0][1][icut])+")");
|
| 497 |
|
|
line.push_back(any2string(eemmmumu[0][2][icut]));
|
| 498 |
|
|
entries.push_back(line);
|
| 499 |
|
|
make_nice_jzb_table(entries);
|
| 500 |
|
|
/*
|
| 501 |
|
|
cout << " \t\t | \t eemm (ee/mm) \t | \t em" << endl;
|
| 502 |
|
|
cout << "JZB>peak\t | \t " << eemmmumu[1][0]+eemmmumu[1][1] << "(" << eemmmumu[1][0] << "/" << eemmmumu[1][1] << ")\t | \t" << eemmmumu[1][2] << endl;
|
| 503 |
|
|
cout << "JZB<peak\t | \t " << eemmmumu[0][0]+eemmmumu[0][1] << "(" << eemmmumu[0][0] << "/" << eemmmumu[0][1] << ")\t | \t" << eemmmumu[0][2] << endl;
|
| 504 |
|
|
cout << endl;
|
| 505 |
|
|
*/
|
| 506 |
|
|
}
|
| 507 |
|
|
|
| 508 |
|
|
void present_result(vector<float> &jzbcuts,float predicted[3][2][20],float observed[3][2][20],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],int icut, float eemmmumu[2][3][20]) {
|
| 509 |
|
|
|
| 510 |
|
|
//blublu
|
| 511 |
|
|
cout << endl << endl;
|
| 512 |
|
|
cout << "--------------------------------------------------------------------------------------" << endl;
|
| 513 |
|
|
cout << "DATA: " << endl;
|
| 514 |
|
|
cout << " For JZB>" << jzbcuts[icut];
|
| 515 |
|
|
float max,downvar,upvar;
|
| 516 |
|
|
stringstream printtitle;
|
| 517 |
|
|
printtitle << "JZB>" << jzbcuts[icut] << " (data)";
|
| 518 |
|
|
ComputePoissonError(zjetsestimate[central][data][icut],ttbarestimate[central][data][0][icut],ttbarestimate[central][data][1][icut],max,downvar,upvar,printtitle.str());
|
| 519 |
|
|
//cout << " Predicted: " << print_range(predicted[central][data][icut],predicted[up][data][icut],predicted[down][data][icut]) << " (stat) +" << 0.2*zjetsestimate[central][data][icut] << "-" << 0.4*zjetsestimate[central][data][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 520 |
|
|
float pred=predicted[central][data][icut];
|
| 521 |
|
|
float sysP=abs(predicted[up][data][icut]-pred);
|
| 522 |
|
|
float sysN=abs(pred-predicted[down][data][icut]);
|
| 523 |
|
|
sysN = sysN + pred*(1-fitresultconstdata);//fitresultconst comes from the fit in the 0-30 GeV range!
|
| 524 |
|
|
cout << " Predicted: " << pred << "+" << statErrorP(pred) << "-" << statErrorN(pred) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 525 |
|
|
//0.2*zjetsestimate[central][data][icut] << "-" << 0.4*zjetsestimate[central][data][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 526 |
|
|
cout << " Details: ZJetsEstimate= " << zjetsestimate[central][data][icut] << ", TTbar estimate=" << ttbarestimate[central][data][0][icut]-ttbarestimate[central][data][1][icut] << " [" << ttbarestimate[central][data][0][icut] << " R -" << ttbarestimate[central][data][1][icut] << " L ]" << endl;
|
| 527 |
|
|
cout << " For JZB>" << jzbcuts[icut] << " Observed: " << observed[central][data][icut] << endl;
|
| 528 |
|
|
cout << "TABLE:" << endl;
|
| 529 |
|
|
make_table(eemmmumu,icut,jzbcuts[icut]);
|
| 530 |
|
|
cout << "MC: " << endl;
|
| 531 |
|
|
printtitle.str("");
|
| 532 |
|
|
printtitle<<"JZB>"<<jzbcuts[icut]<<" (MC)";
|
| 533 |
|
|
ComputePoissonError(zjetsestimate[central][mc][icut],ttbarestimate[central][mc][0][icut],ttbarestimate[central][mc][1][icut],max,downvar,upvar,printtitle.str());
|
| 534 |
|
|
pred=predicted[central][mc][icut];
|
| 535 |
|
|
sysP=abs(predicted[up][mc][icut]-pred);
|
| 536 |
|
|
sysN=abs(pred-predicted[down][mc][icut]);
|
| 537 |
|
|
sysN = sysN + pred*(1-fitresultconstmc);//fitresultconst comes from the fit in the 0-30 GeV range!
|
| 538 |
|
|
cout << " Predicted: " << pred << "+" << statErrorP(pred) << "-" << statErrorN(pred) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 539 |
|
|
// cout << " Predicted: " << print_range(pred,statErrorP(pred),statErrorN(pred)) << " (stat) +" << sysP << " - " << sysN << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 540 |
|
|
//cout << " Predicted: " << print_range(predicted[central][mc][icut],predicted[down][mc][icut],predicted[up][mc][icut]) << " (stat) +" << 0.2*zjetsestimate[central][mc][icut] << "-" << 0.4*zjetsestimate[central][mc][icut] << " (sys) " << " using Poisson: " << print_range(max,max+upvar,max-downvar) << ")" << endl;
|
| 541 |
|
|
//print_range(predicted[central][mc][icut],predicted[central][mc][icut]+upvar,predicted[central][mc][icut]-downvar) << ")" << endl;
|
| 542 |
|
|
cout << " Details: ZJetsEstimate= " << zjetsestimate[central][mc][icut] << ", TTbar estimate=" << ttbarestimate[central][mc][0][icut]-ttbarestimate[central][mc][1][icut] << " [" << ttbarestimate[central][mc][0][icut] << " R -" << ttbarestimate[central][mc][1][icut] << " L ] )" << endl;
|
| 543 |
|
|
cout << " For JZB>" << jzbcuts[icut] << " Observed: " << observed[central][mc][icut] << endl;
|
| 544 |
|
|
cout << endl << endl;
|
| 545 |
|
|
}
|
| 546 |
|
|
|
| 547 |
|
|
void calculate_predicted_and_observed_eemm(float MCPeak,float MCPeakError,float DataPeak,float DataPeakError,vector<float> jzbcuts) { // DO NOT CHANGE THIS TO ... &jzbcuts !!! we add one!
|
| 548 |
|
|
jzbcuts.push_back(14000);
|
| 549 |
|
|
|
| 550 |
|
|
/*
|
| 551 |
|
|
* We want the following numbers: For all JZB cuts, we want: ee,mm,em; observed, predicted. we want final results with errors from the peak and statistical error.
|
| 552 |
|
|
* How to accomplish this; we draw histos for MC&data, once with the peak (to extract obs/pred), once with peak+sigma, once with peak-sigma. this gives us the peak error.
|
| 553 |
|
|
* Statistical error: Comes from Poissonian errors ... for this we have a special little macro that will give us the value for three given parameters (cool, right?)
|
| 554 |
|
|
*/
|
| 555 |
|
|
|
| 556 |
|
|
string jzbpeak[3][2];
|
| 557 |
buchmann |
1.8 |
jzbpeak[central][data]=give_jzb_expression(DataPeak,data);
|
| 558 |
|
|
jzbpeak[up][data]=give_jzb_expression(DataPeak+DataPeakError,data);
|
| 559 |
|
|
jzbpeak[down][data]=give_jzb_expression(DataPeak-DataPeakError,data);
|
| 560 |
|
|
jzbpeak[central][mc]=give_jzb_expression(MCPeak,mc);
|
| 561 |
|
|
jzbpeak[up][mc]=give_jzb_expression(MCPeak+MCPeakError,mc);
|
| 562 |
|
|
jzbpeak[down][mc]=give_jzb_expression(MCPeak-MCPeakError,mc);
|
| 563 |
buchmann |
1.1 |
|
| 564 |
|
|
TH1F *RcorrJZBeemmop[3][2];
|
| 565 |
|
|
TH1F *LcorrJZBeemmop[3][2];
|
| 566 |
|
|
TH1F *RcorrJZBeeop[3][2];
|
| 567 |
|
|
TH1F *LcorrJZBeeop[3][2];
|
| 568 |
|
|
TH1F *RcorrJZBmmop[3][2];
|
| 569 |
|
|
TH1F *LcorrJZBmmop[3][2];
|
| 570 |
|
|
TH1F *RcorrJZBemop[3][2];
|
| 571 |
|
|
TH1F *LcorrJZBemop[3][2];
|
| 572 |
|
|
float zjetsestimate[3][2][20];
|
| 573 |
|
|
float predicted[3][2][20];
|
| 574 |
|
|
float observed[3][2][20];
|
| 575 |
|
|
float ttbarestimate[3][2][2][20];
|
| 576 |
|
|
float eemmmumu[2][3][20];
|
| 577 |
|
|
|
| 578 |
|
|
|
| 579 |
|
|
for(int isdata=0;isdata<=1;isdata++) {
|
| 580 |
|
|
for(int centraldownup=0;centraldownup<=2;centraldownup++) {
|
| 581 |
|
|
RcorrJZBeemmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBeemmop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,isdata, luminosity);
|
| 582 |
|
|
LcorrJZBeemmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBeemmop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,isdata, luminosity);
|
| 583 |
|
|
RcorrJZBemop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBemop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,isdata, luminosity);
|
| 584 |
|
|
LcorrJZBemop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBemop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,isdata,luminosity);
|
| 585 |
|
|
|
| 586 |
|
|
RcorrJZBeeop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBeeop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets&&"id1==0",isdata, luminosity);
|
| 587 |
|
|
LcorrJZBeeop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBeeop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets&&"id1==0",isdata, luminosity);
|
| 588 |
|
|
RcorrJZBmmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("RcorrJZBmmop",isdata,centraldownup),jzbpeak[centraldownup][isdata].c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets&&"id1==1",isdata, luminosity);
|
| 589 |
|
|
LcorrJZBmmop[centraldownup][isdata] = allsamples.Draw(give_histo_number("LcorrJZBmmop",isdata,centraldownup),("-"+jzbpeak[centraldownup][isdata]).c_str(),jzbcuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets&&"id1==1",isdata, luminosity);
|
| 590 |
|
|
for(int icut=0;icut<=jzbcuts.size();icut++) {
|
| 591 |
|
|
zjetsestimate[centraldownup][isdata][icut]=0;
|
| 592 |
|
|
predicted[centraldownup][isdata][icut]=0;
|
| 593 |
|
|
observed[centraldownup][isdata][icut]=0;
|
| 594 |
|
|
ttbarestimate[centraldownup][isdata][0][icut]=0;
|
| 595 |
|
|
ttbarestimate[centraldownup][isdata][1][icut]=0;
|
| 596 |
|
|
}
|
| 597 |
|
|
}//end of for central,up,down loop
|
| 598 |
|
|
crunch_the_numbers(RcorrJZBeemmop,RcorrJZBeeop,RcorrJZBmmop,LcorrJZBeemmop,LcorrJZBeeop,LcorrJZBmmop,RcorrJZBemop,LcorrJZBemop,zjetsestimate,ttbarestimate,predicted,observed,isdata,jzbcuts,eemmmumu);
|
| 599 |
|
|
|
| 600 |
|
|
// void crunch_the_numbers(TH1F *RcorrJZBeemmop[3][2],TH1F *RcorrJZBeeop[3][2],TH1F *RcorrJZBmmop[3][2],TH1F *LcorrJZBeemmop[3][2],TH1F *LcorrJZBeeop[3][2],TH1F *LcorrJZBmmop[3][2],TH1F *RcorrJZBemop[3][2],TH1F *LcorrJZBemop[3][2],float zjetsestimate[3][2][20],float ttbarestimate[3][2][2][20],float predicted[3][2][20],float observed[3][2][20],int isdata,vector<float> jzbcuts,float eemmmumu[2][3]) {
|
| 601 |
|
|
|
| 602 |
|
|
}//end of is data loop
|
| 603 |
|
|
|
| 604 |
|
|
|
| 605 |
|
|
cout << "We obtain the following results: " << endl;
|
| 606 |
|
|
for(int icut=0;icut<jzbcuts.size()-1;icut++) {
|
| 607 |
|
|
present_result(jzbcuts,predicted,observed,zjetsestimate,ttbarestimate,icut,eemmmumu);
|
| 608 |
|
|
}
|
| 609 |
|
|
|
| 610 |
|
|
|
| 611 |
|
|
}
|
| 612 |
|
|
|
| 613 |
buchmann |
1.11 |
void lepton_comparison_plots() {
|
| 614 |
|
|
TCanvas *can = new TCanvas("can","Lepton Comparison Canvas");
|
| 615 |
buchmann |
1.1 |
can->SetLogy(1);
|
| 616 |
|
|
TH1F *eemc = allsamples.Draw("eemc","mll",50,50,150, "mll (GeV)", "events", cutOSSF&&cutnJets&&"(id1==0)",mc, luminosity,allsamples.FindSample("DYJetsToLL"));
|
| 617 |
|
|
TH1F *mmmc = allsamples.Draw("mmmc","mll",50,50,150, "mll (GeV)", "events", cutOSSF&&cutnJets&&"(id1==1)",mc, luminosity,allsamples.FindSample("DYJetsToLL"));
|
| 618 |
|
|
eemc->SetLineColor(kBlue);
|
| 619 |
|
|
mmmc->SetLineColor(kRed);
|
| 620 |
|
|
eemc->SetMinimum(0.1);
|
| 621 |
|
|
eemc->SetMaximum(10*eemc->GetMaximum());
|
| 622 |
|
|
eemc->Draw("histo");
|
| 623 |
|
|
mmmc->Draw("histo,same");
|
| 624 |
|
|
TLegend *leg = make_legend();
|
| 625 |
|
|
leg->AddEntry(eemc,"ZJets->ee (MC)","f");
|
| 626 |
|
|
leg->AddEntry(mmmc,"ZJets->#mu#mu (MC)","f");
|
| 627 |
buchmann |
1.11 |
leg->Draw("same");
|
| 628 |
buchmann |
1.1 |
CompleteSave(can, "mll_effratio_mc");
|
| 629 |
|
|
|
| 630 |
|
|
TH1F *eed = allsamples.Draw("eed","mll",50,50,150, "mll (GeV)", "events", cutOSSF&&cutnJets&&"(id1==0)",data, luminosity);
|
| 631 |
|
|
TH1F *mmd = allsamples.Draw("mmd","mll",50,50,150, "mll (GeV)", "events", cutOSSF&&cutnJets&&"(id1==1)",data, luminosity);
|
| 632 |
|
|
eed->SetLineColor(kBlue);
|
| 633 |
|
|
mmd->SetLineColor(kRed);
|
| 634 |
|
|
eed->SetMinimum(0.1);
|
| 635 |
|
|
eed->SetMaximum(10*eed->GetMaximum());
|
| 636 |
|
|
eed->Draw("histo");
|
| 637 |
|
|
mmd->Draw("histo,same");
|
| 638 |
|
|
TLegend *leg2 = make_legend();
|
| 639 |
|
|
leg2->AddEntry(eed,"ZJets->ee (data)","f");
|
| 640 |
|
|
leg2->AddEntry(mmd,"ZJets->#mu#mu (data)","f");
|
| 641 |
|
|
leg2->Draw();
|
| 642 |
|
|
CompleteSave(can, "mll_effratio_data");
|
| 643 |
|
|
|
| 644 |
buchmann |
1.8 |
TH1F *jeed = allsamples.Draw("jeed",jzbvariabledata, 90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets&&"(id1==0)",data, luminosity);
|
| 645 |
|
|
TH1F *jmmd = allsamples.Draw("jmmd",jzbvariabledata, 90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets&&"(id1==1)",data, luminosity);
|
| 646 |
|
|
TH1F *jeemmd = allsamples.Draw("jeemmd",jzbvariabledata,90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets,data, luminosity);
|
| 647 |
buchmann |
1.11 |
cout << "ee : " << jeed->GetMean() << "+/-" << jeed->GetMeanError() << endl;
|
| 648 |
|
|
cout << "ee : " << jmmd->GetMean() << "+/-" << jmmd->GetMeanError() << endl;
|
| 649 |
|
|
cout << "eemd : " << jeemmd->GetMean() << "+/-" << jeemmd->GetMeanError() << endl;
|
| 650 |
buchmann |
1.1 |
jeemmd->SetLineColor(kBlack);
|
| 651 |
|
|
jeemmd->SetMarkerStyle(25);
|
| 652 |
|
|
jeed->SetLineColor(kBlue);
|
| 653 |
|
|
jmmd->SetLineColor(kRed);
|
| 654 |
|
|
jeed->SetMinimum(0.1);
|
| 655 |
|
|
jeed->SetMaximum(10*eed->GetMaximum());
|
| 656 |
|
|
jeemmd->DrawNormalized();
|
| 657 |
|
|
jeed->DrawNormalized("histo,same");
|
| 658 |
|
|
jmmd->DrawNormalized("histo,same");
|
| 659 |
|
|
jeemmd->DrawNormalized("same");
|
| 660 |
|
|
TLegend *jleg2 = make_legend("Data");
|
| 661 |
|
|
jleg2->AddEntry(jeemmd,"ee and #mu#mu","p");
|
| 662 |
|
|
jleg2->AddEntry(jeed,"ee","l");
|
| 663 |
|
|
jleg2->AddEntry(jmmd,"#mu#mu","l");
|
| 664 |
|
|
jleg2->Draw();
|
| 665 |
|
|
CompleteSave(can,"jzb_effratio_data");
|
| 666 |
|
|
|
| 667 |
buchmann |
1.11 |
TH1F *zjeed = allsamples.Draw("zjeed",jzbvariabledata, 90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets&&"(id1==0)",mc, luminosity,allsamples.FindSample("DYJetsToLL_TuneZ2"));
|
| 668 |
|
|
TH1F *zjmmd = allsamples.Draw("zjmmd",jzbvariabledata, 90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets&&"(id1==1)",mc, luminosity,allsamples.FindSample("DYJetsToLL_TuneZ2"));
|
| 669 |
|
|
TH1F *zjeemmd = allsamples.Draw("zjeemmd",jzbvariabledata,90,-100,350, "JZB (GeV)", "events", cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("DYJetsToLL_TuneZ2"));
|
| 670 |
|
|
cout << "Z+Jets ee : " << zjeed->GetMean() << "+/-" << zjeed->GetMeanError() << endl;
|
| 671 |
|
|
cout << "Z+Jets ee : " << zjmmd->GetMean() << "+/-" << zjmmd->GetMeanError() << endl;
|
| 672 |
|
|
cout << "Z+Jets eemd : " << zjeemmd->GetMean() << "+/-" << zjeemmd->GetMeanError() << endl;
|
| 673 |
|
|
zjeemmd->SetLineColor(kBlack);
|
| 674 |
|
|
zjeemmd->SetMarkerStyle(25);
|
| 675 |
|
|
zjeed->SetLineColor(kBlue);
|
| 676 |
|
|
zjmmd->SetLineColor(kRed);
|
| 677 |
|
|
zjeed->SetMinimum(0.1);
|
| 678 |
|
|
zjeed->SetMaximum(10*eed->GetMaximum());
|
| 679 |
|
|
zjeemmd->DrawNormalized();
|
| 680 |
|
|
zjeed->DrawNormalized("histo,same");
|
| 681 |
|
|
zjmmd->DrawNormalized("histo,same");
|
| 682 |
|
|
zjeemmd->DrawNormalized("same");
|
| 683 |
|
|
TLegend *zjleg2 = make_legend("Data");
|
| 684 |
|
|
zjleg2->AddEntry(jeemmd,"ee and #mu#mu","p");
|
| 685 |
|
|
zjleg2->AddEntry(jeed,"ee","l");
|
| 686 |
|
|
zjleg2->AddEntry(jmmd,"#mu#mu","l");
|
| 687 |
|
|
zjleg2->Draw();
|
| 688 |
|
|
CompleteSave(can,"jzb_effratio_ZJets");
|
| 689 |
|
|
|
| 690 |
buchmann |
1.1 |
TH1F *ld = allsamples.Draw("ld","mll",50,50,150, "mll (GeV)", "events", cutOSSF&&cutnJets,data, luminosity);
|
| 691 |
|
|
ld->DrawNormalized("e1");
|
| 692 |
|
|
eed->DrawNormalized("histo,same");
|
| 693 |
|
|
mmd->DrawNormalized("histo,same");
|
| 694 |
|
|
TLegend *leg3 = make_legend();
|
| 695 |
|
|
leg3->AddEntry(ld,"ZJets->ll (data)","p");
|
| 696 |
|
|
leg3->AddEntry(eed,"ZJets->ee (data)","f");
|
| 697 |
|
|
leg3->AddEntry(mmd,"ZJets->#mu#mu (data)","f");
|
| 698 |
|
|
leg3->Draw();
|
| 699 |
|
|
CompleteSave(can,"mll_effratio_data__all_compared");
|
| 700 |
|
|
/*
|
| 701 |
|
|
TH1F *jzbld = allsamples.Draw("jzbld",jzbvariable,75,-150,150, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 702 |
|
|
TH1F *jzbemd = allsamples.Draw("jzbemd",jzbvariable,75,-150,150, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 703 |
|
|
*/
|
| 704 |
buchmann |
1.8 |
TH1F *jzbld = allsamples.Draw("jzbld",jzbvariabledata,92,-110,350, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 705 |
|
|
TH1F *jzbemd = allsamples.Draw("jzbemd",jzbvariabledata,92,-110,350, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 706 |
buchmann |
1.1 |
jzbld->SetMarkerColor(kBlack);
|
| 707 |
|
|
jzbld->SetMarkerStyle(26);
|
| 708 |
|
|
jzbemd->SetMarkerStyle(25);
|
| 709 |
|
|
jzbemd->SetMarkerColor(kRed);
|
| 710 |
|
|
jzbemd->SetLineColor(kRed);
|
| 711 |
|
|
jzbld->SetMinimum(0.35);
|
| 712 |
|
|
jzbld->Draw("e1");
|
| 713 |
|
|
jzbemd->Draw("e1,same");
|
| 714 |
|
|
TLegend *leg4 = make_legend("Data");
|
| 715 |
|
|
leg4->AddEntry(jzbld,"ee or #mu#mu","p");
|
| 716 |
|
|
leg4->AddEntry(jzbemd,"e#mu","p");
|
| 717 |
|
|
leg4->Draw();
|
| 718 |
|
|
CompleteSave(can,"jzb_eemumu_emu_data");
|
| 719 |
|
|
|
| 720 |
buchmann |
1.8 |
TH1F *ttbarjzbld = allsamples.Draw("ttbarjzbld",jzbvariablemc,110,-150,400, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity,allsamples.FindSample("TTJet"));
|
| 721 |
|
|
TH1F *ttbarjzbemd = allsamples.Draw("ttbarjzbemd",jzbvariablemc,110,-150,400, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity,allsamples.FindSample("TTJet"));
|
| 722 |
buchmann |
1.1 |
ttbarjzbld->SetLineColor(allsamples.GetColor("TTJet"));
|
| 723 |
|
|
ttbarjzbemd->SetLineColor(allsamples.GetColor("TTJet"));
|
| 724 |
|
|
ttbarjzbld->SetLineWidth(2);
|
| 725 |
|
|
ttbarjzbemd->SetLineWidth(2);
|
| 726 |
|
|
ttbarjzbld->Draw("histo");
|
| 727 |
|
|
ttbarjzbemd->SetLineStyle(2);
|
| 728 |
|
|
ttbarjzbemd->Draw("histo,same");
|
| 729 |
|
|
TLegend *leg5 = make_legend();
|
| 730 |
|
|
leg5->AddEntry(ttbarjzbld,"t#bar{t}->(ee or #mu#mu)","f");
|
| 731 |
|
|
leg5->AddEntry(ttbarjzbemd,"t#bar{t}->e#mu","f");
|
| 732 |
|
|
leg5->Draw();
|
| 733 |
|
|
CompleteSave(can,"ttbar_emu_mc");
|
| 734 |
|
|
|
| 735 |
|
|
|
| 736 |
|
|
|
| 737 |
|
|
}
|
| 738 |
|
|
|
| 739 |
|
|
bool is_OF(TCut cut) {
|
| 740 |
|
|
string scut = (const char*) cut;
|
| 741 |
|
|
if((int)scut.find("id1!=id2")>-1) return true;
|
| 742 |
|
|
if((int)scut.find("id1==id2")>-1) return false;
|
| 743 |
|
|
return false;
|
| 744 |
|
|
}
|
| 745 |
|
|
|
| 746 |
|
|
void draw_pure_jzb_histo(TCut cut,string variable,string savename, TCanvas *can,float min,float max,int nbins) {
|
| 747 |
|
|
can->cd();
|
| 748 |
|
|
can->SetLogy(1);
|
| 749 |
|
|
string xlabel="JZB (GeV)";
|
| 750 |
|
|
|
| 751 |
|
|
TH1F *datahisto = allsamples.Draw("datahisto",variable,nbins,min,max, xlabel, "events",cut,data,luminosity);
|
| 752 |
|
|
THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
|
| 753 |
|
|
|
| 754 |
|
|
datahisto->SetMinimum(0.1);
|
| 755 |
buchmann |
1.12 |
//if(savename=="jzb_OSOF") datahisto->SetMaximum(10);
|
| 756 |
buchmann |
1.1 |
datahisto->Draw("e1");
|
| 757 |
|
|
mcstack.Draw("same");
|
| 758 |
|
|
datahisto->Draw("same,e1");
|
| 759 |
|
|
|
| 760 |
|
|
TLegend *leg;
|
| 761 |
|
|
if(is_OF(cut)) leg = allsamples.allbglegend("Opposite Flavor",datahisto);
|
| 762 |
|
|
else leg = allsamples.allbglegend("Same Flavor",datahisto);
|
| 763 |
|
|
leg->Draw();
|
| 764 |
|
|
string write_cut = decipher_cut(cut,"");
|
| 765 |
|
|
TText *writeline1 = write_text(0.5,0.965,write_cut.c_str());
|
| 766 |
|
|
writeline1->SetTextSize(0.035);
|
| 767 |
|
|
writeline1->Draw();
|
| 768 |
|
|
CompleteSave(can, ("jzb/"+savename));
|
| 769 |
|
|
|
| 770 |
|
|
datahisto->Delete();
|
| 771 |
|
|
mcstack.Delete();
|
| 772 |
|
|
}
|
| 773 |
|
|
|
| 774 |
|
|
Double_t GausR(Double_t *x, Double_t *par) {
|
| 775 |
|
|
return gRandom->Gaus(x[0],par[0]);
|
| 776 |
|
|
}
|
| 777 |
|
|
|
| 778 |
buchmann |
1.11 |
void jzb_plots(string mcjzb, string datajzb) {
|
| 779 |
|
|
TCanvas *can = new TCanvas("can","JZB Plots Canvas");
|
| 780 |
buchmann |
1.1 |
float max=350;
|
| 781 |
|
|
float min=-120;
|
| 782 |
|
|
int nbins=(max-min)/5.0; // we want 5 GeV/bin
|
| 783 |
|
|
|
| 784 |
|
|
stringstream ss;
|
| 785 |
|
|
// ss << "GausRandom(" << datajzb << ",0)";
|
| 786 |
|
|
draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,"jzb_OSSF",can,min,max,nbins);
|
| 787 |
|
|
draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,"jzb_OSOF",can,min,max,nbins);
|
| 788 |
buchmann |
1.12 |
draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,"jzb_OSSF_SB",can,min,max,nbins);
|
| 789 |
|
|
draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,"jzb_OSOF_SB",can,min,max,nbins);
|
| 790 |
buchmann |
1.1 |
draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,"jzb_OSSF_rebin",can,min,max,nbins/4.0);
|
| 791 |
|
|
draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,"jzb_OSOF_rebin",can,min,max,nbins/4.0);
|
| 792 |
buchmann |
1.12 |
draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,"jzb_OSSF_SB_rebin",can,min,max,nbins/4.0);
|
| 793 |
|
|
draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,"jzb_OSOF_SB_rebin",can,min,max,nbins/4.0);
|
| 794 |
buchmann |
1.1 |
}
|
| 795 |
|
|
|
| 796 |
|
|
void calculate_all_yields(string mcdrawcommand,vector<float> jzb_cuts) {
|
| 797 |
|
|
cout << "Calculating background yields in MC:" << endl;
|
| 798 |
|
|
jzb_cuts.push_back(14000);
|
| 799 |
buchmann |
1.8 |
TH1F *allbgs = allsamples.Draw("allbgs",jzbvariablemc,jzb_cuts, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc,luminosity);
|
| 800 |
buchmann |
1.1 |
float cumulative=0;
|
| 801 |
|
|
for(int i=allbgs->GetNbinsX();i>=1;i--) {
|
| 802 |
|
|
cumulative+=allbgs->GetBinContent(i);
|
| 803 |
|
|
cout << "Above " << allbgs->GetBinLowEdge(i) << " GeV/c : " << cumulative << endl;
|
| 804 |
|
|
}
|
| 805 |
|
|
}
|
| 806 |
|
|
|
| 807 |
|
|
void rediscover_the_top(string mcjzb, string datajzb) {
|
| 808 |
|
|
cout << "Hi! today we are going to (try to) rediscover the top!" << endl;
|
| 809 |
|
|
TCanvas *c3 = new TCanvas("c3","c3");
|
| 810 |
|
|
c3->SetLogy(1);
|
| 811 |
|
|
vector<float> binning;
|
| 812 |
|
|
//binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
|
| 813 |
|
|
/*
|
| 814 |
|
|
binning.push_back(50);
|
| 815 |
|
|
binning.push_back(100);
|
| 816 |
|
|
binning.push_back(150);
|
| 817 |
|
|
binning.push_back(200);
|
| 818 |
|
|
binning.push_back(500);
|
| 819 |
|
|
|
| 820 |
|
|
|
| 821 |
|
|
TH1F *dataprediction = allsamples.Draw("dataprediction", "-"+datajzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 822 |
|
|
TH1F *puresignal = allsamples.Draw("puresignal", datajzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 823 |
|
|
// TH1F *puresignal = allsamples.Draw("puresignal", mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("TTJets"));
|
| 824 |
|
|
TH1F *observed = allsamples.Draw("observed", datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 825 |
|
|
/*
|
| 826 |
|
|
ofstream myfile;
|
| 827 |
|
|
TH1F *ratio = (TH1F*)observed->Clone();
|
| 828 |
|
|
ratio->Divide(dataprediction);
|
| 829 |
|
|
ratio->GetYaxis()->SetTitle("Ratio obs/pred");
|
| 830 |
|
|
ratio->Draw();
|
| 831 |
|
|
c3->SaveAs("testratio.png");
|
| 832 |
|
|
myfile.open ("ShapeFit_log.txt");
|
| 833 |
|
|
establish_upper_limits(observed,dataprediction,puresignal,"LM4",myfile);
|
| 834 |
|
|
myfile.close();
|
| 835 |
|
|
*/
|
| 836 |
|
|
|
| 837 |
|
|
|
| 838 |
buchmann |
1.6 |
int nbins=100;
|
| 839 |
buchmann |
1.1 |
float low=0;
|
| 840 |
buchmann |
1.6 |
float hi=500;
|
| 841 |
buchmann |
1.1 |
TCanvas *c4 = new TCanvas("c4","c4",900,900);
|
| 842 |
|
|
c4->Divide(2,2);
|
| 843 |
|
|
c4->cd(1);
|
| 844 |
|
|
c4->cd(1)->SetLogy(1);
|
| 845 |
|
|
TH1F *datapredictiont = allsamples.Draw("datapredictiont", "-"+datajzb, nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 846 |
buchmann |
1.6 |
TH1F *datapredictiono = allsamples.Draw("datapredictiono", "-"+datajzb, nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 847 |
|
|
datapredictiont->Add(datapredictiono,-1);
|
| 848 |
buchmann |
1.1 |
cout << "Second way of doing this !!!! Analytical shape to the left :-D" << endl;
|
| 849 |
buchmann |
1.9 |
vector<TF1*> functions = do_cb_fit_to_plot(datapredictiont,10);
|
| 850 |
buchmann |
1.1 |
datapredictiont->SetMarkerColor(kRed);
|
| 851 |
|
|
datapredictiont->SetLineColor(kRed);
|
| 852 |
|
|
datapredictiont->Draw();
|
| 853 |
buchmann |
1.9 |
functions[1]->Draw("same");
|
| 854 |
buchmann |
1.6 |
TText *title1 = write_title("Top Background Prediction (JZB<0, with osof subtr)");
|
| 855 |
buchmann |
1.1 |
title1->Draw();
|
| 856 |
|
|
|
| 857 |
|
|
c4->cd(2);
|
| 858 |
|
|
c4->cd(2)->SetLogy(1);
|
| 859 |
|
|
TH1F *observedt = allsamples.Draw("observedt", datajzb, nbins,low,hi, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 860 |
|
|
observedt->Draw();
|
| 861 |
|
|
datapredictiont->Draw("histo,same");
|
| 862 |
buchmann |
1.9 |
functions[1]->Draw("same");
|
| 863 |
buchmann |
1.6 |
TText *title2 = write_title("Observed and predicted background");
|
| 864 |
buchmann |
1.1 |
title2->Draw();
|
| 865 |
|
|
|
| 866 |
|
|
c4->cd(3);
|
| 867 |
|
|
c4->cd(3)->SetLogy(1);
|
| 868 |
|
|
// TH1F *ratio = (TH1F*)observedt->Clone();
|
| 869 |
buchmann |
1.6 |
|
| 870 |
buchmann |
1.1 |
TH1F *analytical_background_prediction= new TH1F("analytical_background_prediction","",nbins,low,hi);
|
| 871 |
|
|
for(int i=0;i<=nbins;i++) {
|
| 872 |
buchmann |
1.9 |
analytical_background_prediction->SetBinContent(i+1,functions[1]->Eval(((hi-low)/((float)nbins))*(i+0.5)));
|
| 873 |
|
|
analytical_background_prediction->SetBinError(i+1,TMath::Sqrt(functions[1]->Eval(((hi-low)/((float)nbins))*(i+0.5))));
|
| 874 |
buchmann |
1.1 |
}
|
| 875 |
|
|
analytical_background_prediction->GetYaxis()->SetTitle("JZB (GeV)");
|
| 876 |
|
|
analytical_background_prediction->GetYaxis()->CenterTitle();
|
| 877 |
|
|
TH1F *analyticaldrawonly = (TH1F*)analytical_background_prediction->Clone();
|
| 878 |
|
|
analytical_background_prediction->SetFillColor(TColor::GetColor("#3399FF"));
|
| 879 |
|
|
analytical_background_prediction->SetMarkerSize(0);
|
| 880 |
|
|
analytical_background_prediction->Draw("e5");
|
| 881 |
|
|
analyticaldrawonly->Draw("histo,same");
|
| 882 |
buchmann |
1.9 |
functions[1]->Draw("same");
|
| 883 |
buchmann |
1.1 |
TText *title3 = write_title("Analytical bg pred histo");
|
| 884 |
|
|
title3->Draw();
|
| 885 |
|
|
|
| 886 |
|
|
c4->cd(4);
|
| 887 |
|
|
// c4->cd(4)->SetLogy(1);
|
| 888 |
|
|
vector<float> ratio_binning;
|
| 889 |
|
|
ratio_binning.push_back(0);
|
| 890 |
|
|
ratio_binning.push_back(5);
|
| 891 |
|
|
ratio_binning.push_back(10);
|
| 892 |
|
|
ratio_binning.push_back(20);
|
| 893 |
|
|
ratio_binning.push_back(50);
|
| 894 |
buchmann |
1.6 |
// ratio_binning.push_back(60);
|
| 895 |
|
|
/*
|
| 896 |
|
|
ratio_binning.push_back(51);
|
| 897 |
|
|
ratio_binning.push_back(52);
|
| 898 |
|
|
ratio_binning.push_back(53);
|
| 899 |
|
|
ratio_binning.push_back(54);
|
| 900 |
|
|
ratio_binning.push_back(55);
|
| 901 |
|
|
ratio_binning.push_back(56);
|
| 902 |
|
|
ratio_binning.push_back(57);
|
| 903 |
|
|
ratio_binning.push_back(58);
|
| 904 |
|
|
ratio_binning.push_back(59);
|
| 905 |
|
|
ratio_binning.push_back(60);
|
| 906 |
|
|
// ratio_binning.push_back(70);*/
|
| 907 |
|
|
// ratio_binning.push_back(80);
|
| 908 |
|
|
// ratio_binning.push_back(90);
|
| 909 |
|
|
ratio_binning.push_back(80);
|
| 910 |
|
|
// ratio_binning.push_back(110);
|
| 911 |
buchmann |
1.1 |
ratio_binning.push_back(500);
|
| 912 |
|
|
|
| 913 |
|
|
TH1F *observedtb = allsamples.Draw("observedtb", datajzb, ratio_binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 914 |
|
|
TH1F *datapredictiontb = allsamples.Draw("datapredictiontb", "-"+datajzb, ratio_binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
|
| 915 |
buchmann |
1.6 |
TH1F *datapredictiontbo = allsamples.Draw("datapredictiontbo", "-"+datajzb, ratio_binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 916 |
|
|
datapredictiontb->Add(datapredictiontbo,-1);
|
| 917 |
|
|
TH1F *analytical_background_predictionb = allsamples.Draw("analytical_background_predictionb",datajzb, ratio_binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets&&"mll<2",data, luminosity);
|
| 918 |
buchmann |
1.1 |
for(int i=0;i<=ratio_binning.size();i++) {
|
| 919 |
buchmann |
1.9 |
analytical_background_predictionb->SetBinContent(i+1,functions[1]->Eval(analytical_background_predictionb->GetBinCenter(i)));
|
| 920 |
|
|
analytical_background_predictionb->SetBinError(i+1,TMath::Sqrt(functions[1]->Eval(analytical_background_predictionb->GetBinCenter(i))));
|
| 921 |
buchmann |
1.1 |
}
|
| 922 |
|
|
|
| 923 |
|
|
TH1F *ratio = (TH1F*) observedtb->Clone();
|
| 924 |
|
|
ratio->Divide(datapredictiontb);
|
| 925 |
buchmann |
1.6 |
|
| 926 |
|
|
for (int i=0;i<=ratio_binning.size();i++) {
|
| 927 |
|
|
cout << observedtb->GetBinLowEdge(i+1) << ";"<<observedtb->GetBinContent(i+1) << ";" << datapredictiontb->GetBinContent(i+1) << " --> " << ratio->GetBinContent(i+1) << "+/-" << ratio->GetBinError(i+1) << endl;
|
| 928 |
|
|
}
|
| 929 |
|
|
|
| 930 |
|
|
// ratio->Divide(datapredictiontb);
|
| 931 |
buchmann |
1.1 |
// ratio->Divide(analytical_background_predictionb);
|
| 932 |
|
|
// TGraphAsymmErrors *JZBratio= histRatio(observedtb,analytical_background_predictionb,data,ratio_binning);
|
| 933 |
|
|
// ratio->Divide(analytical_background_prediction);
|
| 934 |
|
|
// ratio->Divide(datapredictiont);
|
| 935 |
|
|
// ratio->GetYaxis()->SetTitle("obs/pred");
|
| 936 |
|
|
// JZBratio->Draw("AP");
|
| 937 |
|
|
ratio->GetYaxis()->SetRangeUser(0,10);
|
| 938 |
|
|
ratio->Draw();
|
| 939 |
|
|
//analytical_background_predictionb->Draw();
|
| 940 |
|
|
// JZBratio->SetTitle("");
|
| 941 |
|
|
TText *title4 = write_title("Ratio of observed to predicted");
|
| 942 |
|
|
title4->Draw();
|
| 943 |
|
|
|
| 944 |
|
|
// CompleteSave(c4,"test/ttbar_discovery_dataprediction___analytical_function");
|
| 945 |
|
|
CompleteSave(c4,"test/ttbar_discovery_dataprediction__analytical__new_binning_one_huge_bin_from_80");
|
| 946 |
|
|
|
| 947 |
|
|
|
| 948 |
|
|
|
| 949 |
|
|
|
| 950 |
|
|
|
| 951 |
|
|
}
|
| 952 |
|
|
|
| 953 |
|
|
void calculate_upper_limits(string mcjzb, string datajzb) {
|
| 954 |
buchmann |
1.11 |
write_warning("calculate_upper_limits","Upper limit calculation temporarily deactivated");
|
| 955 |
|
|
// write_warning("calculate_upper_limits","Calculation of SUSY upper limits has been temporarily suspended in favor of top discovery");
|
| 956 |
|
|
// rediscover_the_top(mcjzb,datajzb);
|
| 957 |
buchmann |
1.6 |
/*
|
| 958 |
buchmann |
1.1 |
TCanvas *c3 = new TCanvas("c3","c3");
|
| 959 |
|
|
c3->SetLogy(1);
|
| 960 |
|
|
vector<float> binning;
|
| 961 |
|
|
//binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
|
| 962 |
|
|
binning.push_back(50);
|
| 963 |
|
|
binning.push_back(100);
|
| 964 |
|
|
binning.push_back(150);
|
| 965 |
|
|
binning.push_back(200);
|
| 966 |
|
|
binning.push_back(500);
|
| 967 |
|
|
TH1F *datapredictiona = allsamples.Draw("datapredictiona", "-"+datajzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
|
| 968 |
|
|
TH1F *datapredictionb = allsamples.Draw("datapredictionb", "-"+datajzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
|
| 969 |
|
|
TH1F *datapredictionc = allsamples.Draw("datapredictionc", datajzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
|
| 970 |
buchmann |
1.5 |
TH1F *dataprediction = (TH1F*)datapredictiona->Clone();
|
| 971 |
buchmann |
1.1 |
dataprediction->Add(datapredictionb,-1);
|
| 972 |
|
|
dataprediction->Add(datapredictionc);
|
| 973 |
|
|
TH1F *puresignal = allsamples.Draw("puresignal", mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 974 |
buchmann |
1.5 |
TH1F *signalpred = allsamples.Draw("signalpred", "-"+mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 975 |
|
|
TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 976 |
|
|
TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 977 |
buchmann |
1.1 |
TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 978 |
buchmann |
1.5 |
signalpred->Add(signalpredlo,-1);
|
| 979 |
|
|
signalpred->Add(signalpredro);
|
| 980 |
|
|
puresignal->Add(signalpred,-1);//subtracting signal contamination
|
| 981 |
buchmann |
1.1 |
ofstream myfile;
|
| 982 |
|
|
myfile.open ("ShapeFit_log.txt");
|
| 983 |
|
|
establish_upper_limits(puredata,dataprediction,puresignal,"LM4",myfile);
|
| 984 |
|
|
myfile.close();
|
| 985 |
buchmann |
1.6 |
*/
|
| 986 |
buchmann |
1.1 |
}
|
| 987 |
|
|
|
| 988 |
|
|
void susy_scan_axis_labeling(TH2F *histo) {
|
| 989 |
|
|
histo->GetXaxis()->SetTitle("#Chi_{2}^{0}-LSP");
|
| 990 |
|
|
histo->GetXaxis()->CenterTitle();
|
| 991 |
|
|
histo->GetYaxis()->SetTitle("m_{#tilde{q}}");
|
| 992 |
|
|
histo->GetYaxis()->CenterTitle();
|
| 993 |
|
|
}
|
| 994 |
|
|
|
| 995 |
|
|
void scan_susy_space(string mcjzb, string datajzb) {
|
| 996 |
|
|
TCanvas *c3 = new TCanvas("c3","c3");
|
| 997 |
|
|
vector<float> binning;
|
| 998 |
|
|
binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
|
| 999 |
|
|
/*
|
| 1000 |
|
|
binning.push_back(50);
|
| 1001 |
|
|
binning.push_back(75);
|
| 1002 |
|
|
binning.push_back(100);
|
| 1003 |
|
|
binning.push_back(150);
|
| 1004 |
|
|
binning.push_back(200);
|
| 1005 |
|
|
binning.push_back(500);
|
| 1006 |
|
|
*/
|
| 1007 |
|
|
float arrbinning[binning.size()];
|
| 1008 |
|
|
for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i];
|
| 1009 |
|
|
TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 1010 |
buchmann |
1.2 |
TH1F *allbgs = allsamples.Draw("allbgs", "-"+datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 1011 |
|
|
TH1F *allbgsb = allsamples.Draw("allbgsb", "-"+datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
|
| 1012 |
|
|
TH1F *allbgsc = allsamples.Draw("allbgsc", datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
|
| 1013 |
|
|
allbgs->Add(allbgsb,-1);
|
| 1014 |
|
|
allbgs->Add(allbgsc);
|
| 1015 |
buchmann |
1.1 |
int ndata=puredata->Integral();
|
| 1016 |
|
|
ofstream myfile;
|
| 1017 |
|
|
myfile.open ("susyscan_log.txt");
|
| 1018 |
|
|
TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root");
|
| 1019 |
|
|
TTree *suevents = (TTree*)susyscanfile->Get("events");
|
| 1020 |
|
|
TH2F *exclusionmap = new TH2F("exclusionmap","",20,0,500,20,0,1000);
|
| 1021 |
|
|
TH2F *exclusionmap1s = new TH2F("exclusionmap1s","",20,0,500,20,0,1000);
|
| 1022 |
|
|
TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000);
|
| 1023 |
|
|
TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000);
|
| 1024 |
|
|
|
| 1025 |
|
|
susy_scan_axis_labeling(exclusionmap);
|
| 1026 |
|
|
susy_scan_axis_labeling(exclusionmap1s);
|
| 1027 |
|
|
susy_scan_axis_labeling(exclusionmap2s);
|
| 1028 |
|
|
susy_scan_axis_labeling(exclusionmap3s);
|
| 1029 |
|
|
|
| 1030 |
|
|
Int_t MyPalette[100];
|
| 1031 |
|
|
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0};
|
| 1032 |
|
|
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0};
|
| 1033 |
|
|
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0};
|
| 1034 |
|
|
Double_t stop[] = {0., .25, .50, .75, 1.0};
|
| 1035 |
|
|
Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100);
|
| 1036 |
|
|
for (int i=0;i<100;i++) MyPalette[i] = FI+i;
|
| 1037 |
|
|
|
| 1038 |
|
|
gStyle->SetPalette(100, MyPalette);
|
| 1039 |
|
|
|
| 1040 |
|
|
for(int m23=50;m23<500;m23+=25) {
|
| 1041 |
|
|
for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50)
|
| 1042 |
|
|
{
|
| 1043 |
|
|
c3->cd();
|
| 1044 |
|
|
stringstream drawcondition;
|
| 1045 |
|
|
drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2";
|
| 1046 |
|
|
TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning);
|
| 1047 |
buchmann |
1.4 |
TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning);
|
| 1048 |
|
|
stringstream drawvar,drawvar2;
|
| 1049 |
buchmann |
1.1 |
drawvar<<mcjzb<<">>puresignal";
|
| 1050 |
buchmann |
1.4 |
drawvar2<<"-"<<mcjzb<<">>puresignall";
|
| 1051 |
buchmann |
1.1 |
suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str());
|
| 1052 |
buchmann |
1.4 |
suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str());
|
| 1053 |
buchmann |
1.1 |
if(puresignal->Integral()<60) {
|
| 1054 |
|
|
delete puresignal;
|
| 1055 |
|
|
continue;
|
| 1056 |
|
|
}
|
| 1057 |
buchmann |
1.4 |
puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !!
|
| 1058 |
buchmann |
1.1 |
puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data
|
| 1059 |
|
|
stringstream saveas;
|
| 1060 |
|
|
saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23;
|
| 1061 |
buchmann |
1.5 |
cout << "PLEASE KEEP IN MIND THAT SIGNAL CONTAMINATION IS NOT REALLY TAKEN CARE OF YET DUE TO LOW STATISTICS! SHOULD BE SOMETHING LIKE THIS : "<< endl;
|
| 1062 |
|
|
// TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 1063 |
|
|
// TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 1064 |
|
|
// TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
|
| 1065 |
|
|
// signalpred->Add(signalpredlo,-1);
|
| 1066 |
|
|
// signalpred->Add(signalpredro);
|
| 1067 |
|
|
// puresignal->Add(signalpred,-1);//subtracting signal contamination
|
| 1068 |
|
|
//---------------------
|
| 1069 |
buchmann |
1.1 |
// cout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl;
|
| 1070 |
|
|
// TH1F *puresignal = allsamples.Draw("puresignal",mcjzb, binning, "JZB (GeV)", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4"));
|
| 1071 |
|
|
vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile);
|
| 1072 |
|
|
if(results.size()==0) {
|
| 1073 |
|
|
delete puresignal;
|
| 1074 |
|
|
continue;
|
| 1075 |
|
|
}
|
| 1076 |
|
|
exclusionmap->Fill(m23,m0,results[0]);
|
| 1077 |
|
|
exclusionmap1s->Fill(m23,m0,results[1]);
|
| 1078 |
|
|
exclusionmap2s->Fill(m23,m0,results[2]);
|
| 1079 |
|
|
exclusionmap3s->Fill(m23,m0,results[3]);
|
| 1080 |
|
|
delete puresignal;
|
| 1081 |
|
|
cout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl;
|
| 1082 |
|
|
}
|
| 1083 |
|
|
}//end of model scan for loop
|
| 1084 |
|
|
|
| 1085 |
|
|
cout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl;
|
| 1086 |
|
|
c3->cd();
|
| 1087 |
|
|
exclusionmap->Draw("CONTZ");
|
| 1088 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values");
|
| 1089 |
|
|
exclusionmap->Draw("COLZ");
|
| 1090 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values");
|
| 1091 |
|
|
|
| 1092 |
|
|
exclusionmap1s->Draw("CONTZ");
|
| 1093 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values");
|
| 1094 |
|
|
exclusionmap1s->Draw("COLZ");
|
| 1095 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values");
|
| 1096 |
|
|
|
| 1097 |
|
|
exclusionmap2s->Draw("CONTZ");
|
| 1098 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values");
|
| 1099 |
|
|
exclusionmap2s->Draw("COLZ");
|
| 1100 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values");
|
| 1101 |
|
|
|
| 1102 |
|
|
exclusionmap3s->Draw("CONTZ");
|
| 1103 |
|
|
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values");
|
| 1104 |
|
|
exclusionmap3s->Draw("COLZ");
|
| 1105 |
|
|
CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values");
|
| 1106 |
|
|
|
| 1107 |
|
|
TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE");
|
| 1108 |
|
|
exclusionmap->Write();
|
| 1109 |
|
|
exclusionmap1s->Write();
|
| 1110 |
|
|
exclusionmap2s->Write();
|
| 1111 |
|
|
exclusionmap3s->Write();
|
| 1112 |
|
|
exclusion_limits->Close();
|
| 1113 |
|
|
susyscanfile->Close();
|
| 1114 |
|
|
|
| 1115 |
|
|
myfile.close();
|
| 1116 |
|
|
}
|
| 1117 |
buchmann |
1.2 |
|
| 1118 |
buchmann |
1.4 |
void draw_ttbar_and_zjets_shape_for_one_configuration(string mcjzb, string datajzb, int leptontype=-1, int scenario=0,bool floating=false) {
|
| 1119 |
buchmann |
1.10 |
//Step 1: Establishing cuts
|
| 1120 |
buchmann |
1.3 |
stringstream jetcutstring;
|
| 1121 |
buchmann |
1.10 |
string writescenario="";
|
| 1122 |
|
|
|
| 1123 |
buchmann |
1.3 |
if(scenario==0) jetcutstring << "(pfJetGoodNum>=3)&&"<<(const char*) basicqualitycut;
|
| 1124 |
|
|
if(scenario==1) jetcutstring << "(pfJetPt[0]>50&&pfJetPt[1]>50)&&"<<(const char*)basicqualitycut;
|
| 1125 |
|
|
TCut jetcut(jetcutstring.str().c_str());
|
| 1126 |
|
|
string leptoncut="mll>0";
|
| 1127 |
|
|
if(leptontype==0||leptontype==1) {
|
| 1128 |
buchmann |
1.10 |
if(leptontype==0) {
|
| 1129 |
|
|
leptoncut="id1==0";
|
| 1130 |
|
|
writescenario="__ee";
|
| 1131 |
|
|
}
|
| 1132 |
|
|
else {
|
| 1133 |
|
|
leptoncut="id1==1";
|
| 1134 |
|
|
writescenario="__ee";
|
| 1135 |
|
|
}
|
| 1136 |
buchmann |
1.3 |
}
|
| 1137 |
|
|
TCut lepcut(leptoncut.c_str());
|
| 1138 |
|
|
|
| 1139 |
buchmann |
1.6 |
TCanvas *c5 = new TCanvas("c5","c5",1500,500);
|
| 1140 |
buchmann |
1.10 |
TCanvas *c6 = new TCanvas("c6","c6");
|
| 1141 |
buchmann |
1.3 |
c5->Divide(3,1);
|
| 1142 |
buchmann |
1.10 |
|
| 1143 |
|
|
//STEP 2: Extract Zjets shape in data
|
| 1144 |
|
|
c5->cd(1);
|
| 1145 |
buchmann |
1.3 |
c5->cd(1)->SetLogy(1);
|
| 1146 |
|
|
TCut massat40("mll>40");
|
| 1147 |
|
|
TH1F *ossfleft = allsamples.Draw("ossfleft", "-"+datajzb,40,0,200, "JZB (GeV)", "events", massat40&&cutOSSF&&jetcut&&lepcut,data,luminosity);
|
| 1148 |
|
|
TH1F *osofleft = allsamples.Draw("osofleft", "-"+datajzb,40,0,200, "JZB (GeV)", "events", massat40&&cutOSOF&&jetcut&&lepcut,data,luminosity);
|
| 1149 |
|
|
ossfleft->SetLineColor(kRed);
|
| 1150 |
|
|
ossfleft->SetMarkerColor(kRed);
|
| 1151 |
|
|
ossfleft->Add(osofleft,-1);
|
| 1152 |
buchmann |
1.9 |
vector<TF1*> functions = do_cb_fit_to_plot(ossfleft,10);
|
| 1153 |
buchmann |
1.3 |
ossfleft->Draw();
|
| 1154 |
buchmann |
1.9 |
functions[0]->Draw("same");functions[1]->Draw("same");functions[2]->Draw("same");
|
| 1155 |
|
|
TF1 *zjetsfunc = (TF1*) functions[1]->Clone();
|
| 1156 |
|
|
TF1 *zjetsfuncN = (TF1*) functions[0]->Clone();
|
| 1157 |
|
|
TF1 *zjetsfuncP = (TF1*) functions[2]->Clone();
|
| 1158 |
buchmann |
1.6 |
zjetsfunc->Draw("same");zjetsfuncN->Draw("same");zjetsfuncP->Draw("same");
|
| 1159 |
buchmann |
1.3 |
TLegend *leg1 = new TLegend(0.6,0.6,0.89,0.80);
|
| 1160 |
|
|
leg1->SetFillColor(kWhite);
|
| 1161 |
|
|
leg1->SetLineColor(kWhite);
|
| 1162 |
|
|
leg1->AddEntry(ossfleft,"OSSF (sub),JZB<peak","p");
|
| 1163 |
buchmann |
1.6 |
leg1->AddEntry(zjetsfunc,"OSSF fit ('zjets')","l");
|
| 1164 |
buchmann |
1.3 |
leg1->Draw("same");
|
| 1165 |
|
|
TText *titleleft = write_title("Extracting Z+Jets shape");
|
| 1166 |
|
|
titleleft->Draw();
|
| 1167 |
|
|
|
| 1168 |
buchmann |
1.10 |
//Step 3: Extract ttbar shape (in data or MC?)
|
| 1169 |
|
|
c5->cd(2);
|
| 1170 |
buchmann |
1.3 |
c5->cd(2)->SetLogy(1);
|
| 1171 |
buchmann |
1.4 |
TH1F *osof;
|
| 1172 |
|
|
TText *titlecenter;
|
| 1173 |
buchmann |
1.10 |
bool frommc=false;
|
| 1174 |
|
|
if(frommc) {
|
| 1175 |
buchmann |
1.4 |
osof = allsamples.Draw("osof",datajzb,40,-200,200, "JZB (GeV)", "events", massat40&&cutOSSF&&jetcut&&lepcut,mc,luminosity,allsamples.FindSample("TTJets"));
|
| 1176 |
|
|
titlecenter = write_title("Extracting ttbar shape (from ossf MC)");
|
| 1177 |
|
|
}
|
| 1178 |
|
|
else {
|
| 1179 |
|
|
osof = allsamples.Draw("osof",datajzb,40,-200,200, "JZB (GeV)", "events", massat40&&cutOSOF&&jetcut&&lepcut,data,luminosity);
|
| 1180 |
|
|
titlecenter = write_title("Extracting ttbar shape (from osof data)");
|
| 1181 |
|
|
}
|
| 1182 |
buchmann |
1.3 |
osof->Draw();
|
| 1183 |
buchmann |
1.10 |
vector<TF1*> ttbarfunctions = do_cb_fit_to_plot(osof,35,true);
|
| 1184 |
|
|
ttbarfunctions[0]->SetLineColor(kRed); ttbarfunctions[0]->SetLineStyle(2); ttbarfunctions[0]->Draw("same");
|
| 1185 |
|
|
ttbarfunctions[1]->SetLineColor(kRed); ttbarfunctions[1]->Draw("same");
|
| 1186 |
|
|
ttbarfunctions[2]->SetLineColor(kRed); ttbarfunctions[2]->SetLineStyle(2); ttbarfunctions[2]->Draw("same");
|
| 1187 |
|
|
|
| 1188 |
buchmann |
1.3 |
TLegend *leg2 = new TLegend(0.15,0.8,0.4,0.89);
|
| 1189 |
|
|
leg2->SetFillColor(kWhite);
|
| 1190 |
|
|
leg2->SetLineColor(kWhite);
|
| 1191 |
buchmann |
1.10 |
if(frommc) {
|
| 1192 |
buchmann |
1.4 |
leg2->AddEntry(osof,"t#bar{t} OSSF, MC","p");
|
| 1193 |
buchmann |
1.10 |
leg2->AddEntry(ttbarfunctions[1],"Fit to t#bar{t} OSSF,MC","l");
|
| 1194 |
buchmann |
1.4 |
} else {
|
| 1195 |
|
|
leg2->AddEntry(osof,"OSOF","p");
|
| 1196 |
buchmann |
1.10 |
leg2->AddEntry(ttbarfunctions[1],"Fit to OSOF","l");
|
| 1197 |
buchmann |
1.4 |
}
|
| 1198 |
buchmann |
1.3 |
leg2->Draw("same");
|
| 1199 |
|
|
titlecenter->Draw();
|
| 1200 |
buchmann |
1.10 |
|
| 1201 |
|
|
//--------------------------------------------------------------------------------------------------------------------------------
|
| 1202 |
buchmann |
1.4 |
//STEP 4: Present it!
|
| 1203 |
|
|
// actually: if we wanna let it float we need to do that first :-)
|
| 1204 |
buchmann |
1.3 |
c5->cd(3);
|
| 1205 |
|
|
c5->cd(3)->SetLogy(1);
|
| 1206 |
|
|
TH1F *observed = allsamples.Draw("observed",datajzb,100,0,500, "JZB (GeV)", "events", massat40&&cutOSSF&&jetcut&&lepcut,data,luminosity);
|
| 1207 |
buchmann |
1.4 |
|
| 1208 |
buchmann |
1.6 |
TF1 *logparc = new TF1("logparc",InvCrystalBall,0,1000,5); logparc->SetLineColor(kRed);
|
| 1209 |
buchmann |
1.8 |
TF1 *logparcn = new TF1("logparcn",InvCrystalBallN,0,1000,5); logparcn->SetLineColor(kRed); logparcn->SetLineStyle(2);
|
| 1210 |
|
|
TF1 *logparcp = new TF1("logparcp",InvCrystalBallP,0,1000,5); logparcp->SetLineColor(kRed); logparcp->SetLineStyle(2);
|
| 1211 |
buchmann |
1.6 |
|
| 1212 |
|
|
TF1 *zjetsc = new TF1("zjetsc",InvCrystalBall,0,1000,5); zjetsc->SetLineColor(kBlue);
|
| 1213 |
|
|
TF1 *zjetscn = new TF1("zjetscn",InvCrystalBallN,0,1000,5); zjetscn->SetLineColor(kBlue); zjetscn->SetLineStyle(2);
|
| 1214 |
|
|
TF1 *zjetscp = new TF1("zjetscp",InvCrystalBallP,0,1000,5); zjetscp->SetLineColor(kBlue); zjetscp->SetLineStyle(2);
|
| 1215 |
|
|
|
| 1216 |
buchmann |
1.10 |
TF1 *ZplusJetsplusTTbar = new TF1("ZplusJetsplusTTbar", DoubleInvCrystalBall,0,1000,10); ZplusJetsplusTTbar->SetLineColor(kBlue);
|
| 1217 |
|
|
TF1 *ZplusJetsplusTTbarP= new TF1("ZplusJetsplusTTbarP",DoubleInvCrystalBallP,0,1000,10); ZplusJetsplusTTbarP->SetLineColor(kBlue); ZplusJetsplusTTbarP->SetLineStyle(2);
|
| 1218 |
|
|
TF1 *ZplusJetsplusTTbarN= new TF1("ZplusJetsplusTTbarN",DoubleInvCrystalBallN,0,1000,10); ZplusJetsplusTTbarN->SetLineColor(kBlue); ZplusJetsplusTTbarN->SetLineStyle(2);
|
| 1219 |
|
|
|
| 1220 |
buchmann |
1.6 |
zjetsc->SetParameters(zjetsfunc->GetParameters());
|
| 1221 |
|
|
zjetscp->SetParameters(zjetsfunc->GetParameters());
|
| 1222 |
|
|
zjetscn->SetParameters(zjetsfunc->GetParameters());
|
| 1223 |
buchmann |
1.10 |
|
| 1224 |
buchmann |
1.8 |
TH1F *observeda = allsamples.Draw("observeda",datajzb,53,80,350, "JZB (GeV)", "events", massat40&&cutOSSF&&jetcut&&lepcut,data,luminosity);
|
| 1225 |
buchmann |
1.7 |
//blublu
|
| 1226 |
buchmann |
1.10 |
logparc->SetParameters(ttbarfunctions[1]->GetParameters());
|
| 1227 |
|
|
logparcn->SetParameters(ttbarfunctions[1]->GetParameters());
|
| 1228 |
|
|
logparcp->SetParameters(ttbarfunctions[1]->GetParameters());
|
| 1229 |
buchmann |
1.4 |
if(floating) {
|
| 1230 |
buchmann |
1.10 |
cout << "TTbar contribution assumed (before fitting) : " << logparc->GetParameter(0) << endl;
|
| 1231 |
|
|
logparc->SetParameters(ttbarfunctions[1]->GetParameters());
|
| 1232 |
buchmann |
1.7 |
for(int i=0;i<10;i++) {
|
| 1233 |
|
|
if(i<5) ZplusJetsplusTTbar->FixParameter(i,zjetsfunc->GetParameter(i));
|
| 1234 |
|
|
if(i>=5) {
|
| 1235 |
|
|
if (i>5) ZplusJetsplusTTbar->FixParameter(i,logparc->GetParameter(i-5));
|
| 1236 |
|
|
if (i==5) ZplusJetsplusTTbar->SetParameter(i,logparc->GetParameter(i-5));
|
| 1237 |
|
|
}
|
| 1238 |
|
|
}//end of setting parameters
|
| 1239 |
|
|
observeda->Draw("same");
|
| 1240 |
|
|
ZplusJetsplusTTbar->Draw("same");
|
| 1241 |
|
|
observeda->Fit(ZplusJetsplusTTbar);
|
| 1242 |
|
|
cout << "--> Quality of Z+Jets / TTbar fit : chi2/ndf = " << ZplusJetsplusTTbar->GetChisquare() << "/" << ZplusJetsplusTTbar->GetNDF() << endl;
|
| 1243 |
|
|
ZplusJetsplusTTbar->Draw("same");
|
| 1244 |
buchmann |
1.8 |
ZplusJetsplusTTbarP->SetParameters(ZplusJetsplusTTbar->GetParameters());
|
| 1245 |
|
|
ZplusJetsplusTTbarN->SetParameters(ZplusJetsplusTTbar->GetParameters());
|
| 1246 |
buchmann |
1.10 |
cout << "TTbar contribution found (after fitting) : " << ZplusJetsplusTTbar->GetParameter(5) << endl;
|
| 1247 |
buchmann |
1.7 |
float factor = ZplusJetsplusTTbar->GetParameter(5) / logparc->GetParameter(0);
|
| 1248 |
|
|
cout << "FACTOR: " << factor << endl;
|
| 1249 |
buchmann |
1.10 |
logparc->SetParameter(0,factor*ttbarfunctions[1]->GetParameter(0));
|
| 1250 |
|
|
logparcn->SetParameter(0,factor*ttbarfunctions[1]->GetParameter(0));
|
| 1251 |
|
|
logparcp->SetParameter(0,factor*ttbarfunctions[1]->GetParameter(0));
|
| 1252 |
buchmann |
1.4 |
}
|
| 1253 |
buchmann |
1.6 |
|
| 1254 |
buchmann |
1.4 |
c5->cd(3);
|
| 1255 |
buchmann |
1.6 |
c5->cd(3)->SetLogy(1);
|
| 1256 |
|
|
observed->Draw();
|
| 1257 |
|
|
zjetsc->Draw("same");zjetscn->Draw("same");zjetscp->Draw("same");
|
| 1258 |
buchmann |
1.3 |
logparc->Draw("same");
|
| 1259 |
buchmann |
1.6 |
logparcn->Draw("same");
|
| 1260 |
|
|
logparcp->Draw("same");
|
| 1261 |
|
|
|
| 1262 |
buchmann |
1.3 |
TLegend *leg3 = new TLegend(0.6,0.6,0.89,0.80);
|
| 1263 |
|
|
leg3->SetFillColor(kWhite);
|
| 1264 |
|
|
leg3->SetLineColor(kWhite);
|
| 1265 |
|
|
leg3->AddEntry(observed,"OSSF,JZB>peak","p");
|
| 1266 |
buchmann |
1.10 |
leg3->AddEntry(ttbarfunctions[1],"OSOF fit ('ttbar')","l");
|
| 1267 |
buchmann |
1.6 |
leg3->AddEntry(zjetsfunc,"OSSF,JZB<0 fit ('zjets')","l");
|
| 1268 |
buchmann |
1.3 |
leg3->Draw("same");
|
| 1269 |
|
|
TText *titleright = write_title("Summary of shapes and observed shape");
|
| 1270 |
|
|
titleright->Draw();
|
| 1271 |
|
|
|
| 1272 |
|
|
c6->cd()->SetLogy(1);
|
| 1273 |
buchmann |
1.6 |
observed->Draw();
|
| 1274 |
|
|
zjetsc->Draw("same");zjetscn->Draw("same");zjetscp->Draw("same");
|
| 1275 |
buchmann |
1.3 |
logparc->Draw("same");
|
| 1276 |
buchmann |
1.6 |
logparcn->Draw("same");
|
| 1277 |
|
|
logparcp->Draw("same");
|
| 1278 |
buchmann |
1.3 |
leg3->Draw("same");
|
| 1279 |
|
|
titleright->Draw();
|
| 1280 |
|
|
|
| 1281 |
|
|
if(scenario==0) {
|
| 1282 |
|
|
CompleteSave(c5,"Shapes2/Making_of___3jetsabove30"+writescenario);
|
| 1283 |
buchmann |
1.6 |
CompleteSave(c5->cd(1),"Shapes2/Making_of___3jetsabove30"+writescenario+"__cd1");
|
| 1284 |
|
|
CompleteSave(c5->cd(2),"Shapes2/Making_of___3jetsabove30"+writescenario+"__cd2");
|
| 1285 |
|
|
CompleteSave(c5->cd(3),"Shapes2/Making_of___3jetsabove30"+writescenario+"__cd3");
|
| 1286 |
buchmann |
1.3 |
CompleteSave(c6,"Shapes2/Background_Shapes___3jetsabove30"+writescenario);
|
| 1287 |
|
|
} else {
|
| 1288 |
|
|
CompleteSave(c5,"Shapes2/Making_of___2jetsabove50"+writescenario);
|
| 1289 |
buchmann |
1.6 |
CompleteSave(c5->cd(1),"Shapes2/Making_of___2jetsabove50"+writescenario+"__cd1");
|
| 1290 |
|
|
CompleteSave(c5->cd(2),"Shapes2/Making_of___2jetsabove50"+writescenario+"__cd2");
|
| 1291 |
|
|
CompleteSave(c5->cd(3),"Shapes2/Making_of___2jetsabove50"+writescenario+"__cd3");
|
| 1292 |
buchmann |
1.3 |
CompleteSave(c6,"Shapes2/Background_Shapes___2jetsabove50"+writescenario);
|
| 1293 |
|
|
}
|
| 1294 |
buchmann |
1.6 |
cout << "Statistics about our fits: " << endl;
|
| 1295 |
buchmann |
1.7 |
cout << "Z+Jets shape: Chi2/ndf = " << zjetsfunc->GetChisquare() << "/" << ossfleft->GetNbinsX() << endl;
|
| 1296 |
buchmann |
1.10 |
cout << "ttbar shape: Chi2/ndf = " << ttbarfunctions[1]->GetChisquare() << "/" << osof->GetNbinsX() << endl;
|
| 1297 |
buchmann |
1.4 |
|
| 1298 |
buchmann |
1.7 |
c6->cd();
|
| 1299 |
buchmann |
1.8 |
TLegend *additionallegend = new TLegend(0.6,0.6,0.89,0.89);
|
| 1300 |
|
|
additionallegend->SetFillColor(kWhite);
|
| 1301 |
|
|
additionallegend->SetLineColor(kWhite);
|
| 1302 |
|
|
additionallegend->AddEntry(observed,"Data","p");
|
| 1303 |
|
|
additionallegend->AddEntry(ZplusJetsplusTTbar,"Fitted Z+jets & TTbar","l");
|
| 1304 |
|
|
additionallegend->AddEntry(zjetsc,"Z+jets","l");
|
| 1305 |
|
|
additionallegend->AddEntry(logparc,"TTbar","l");
|
| 1306 |
buchmann |
1.7 |
observed->Draw();
|
| 1307 |
|
|
ZplusJetsplusTTbar->SetLineColor(kGreen);
|
| 1308 |
buchmann |
1.8 |
ZplusJetsplusTTbarP->SetLineColor(kGreen);
|
| 1309 |
|
|
ZplusJetsplusTTbarN->SetLineColor(kGreen);
|
| 1310 |
|
|
ZplusJetsplusTTbarP->SetLineStyle(2);
|
| 1311 |
|
|
ZplusJetsplusTTbarN->SetLineStyle(2);
|
| 1312 |
|
|
TF1 *ZplusJetsplusTTbar2 = new TF1("ZplusJetsplusTTbar2",DoubleInvCrystalBall,0,1000,10);
|
| 1313 |
|
|
ZplusJetsplusTTbar2->SetParameters(ZplusJetsplusTTbar->GetParameters());
|
| 1314 |
|
|
ZplusJetsplusTTbar2->SetLineColor(kGreen);
|
| 1315 |
|
|
ZplusJetsplusTTbarP->SetFillColor(TColor::GetColor("#81F781"));
|
| 1316 |
|
|
ZplusJetsplusTTbarN->SetFillColor(kWhite);
|
| 1317 |
|
|
ZplusJetsplusTTbarP->Draw("fcsame");
|
| 1318 |
|
|
ZplusJetsplusTTbarN->Draw("fcsame");
|
| 1319 |
|
|
TH1F *hZplusJetsplusTTbar = (TH1F*)ZplusJetsplusTTbar2->GetHistogram();
|
| 1320 |
|
|
TH1F *hZplusJetsplusTTbarN = (TH1F*)ZplusJetsplusTTbarN->GetHistogram();
|
| 1321 |
|
|
TH1F *hZplusJetsplusTTbarP = (TH1F*)ZplusJetsplusTTbarP->GetHistogram();
|
| 1322 |
|
|
hZplusJetsplusTTbar->SetMarkerSize(0);
|
| 1323 |
|
|
hZplusJetsplusTTbarP->SetMarkerSize(0);
|
| 1324 |
|
|
hZplusJetsplusTTbarN->SetMarkerSize(0);
|
| 1325 |
|
|
for (int i=1;i<=hZplusJetsplusTTbar->GetNbinsX();i++) {
|
| 1326 |
|
|
float newerror=hZplusJetsplusTTbarP->GetBinContent(i)-hZplusJetsplusTTbar->GetBinContent(i);
|
| 1327 |
|
|
hZplusJetsplusTTbar->SetBinError(i,newerror);
|
| 1328 |
|
|
if(hZplusJetsplusTTbar->GetBinContent(i)<0.05) hZplusJetsplusTTbar->SetBinContent(i,0); //avoiding a displaying probolem
|
| 1329 |
|
|
}
|
| 1330 |
|
|
hZplusJetsplusTTbarP->SetFillColor(kGreen);
|
| 1331 |
|
|
hZplusJetsplusTTbarN->SetFillColor(kWhite);
|
| 1332 |
|
|
hZplusJetsplusTTbarN->Draw("same");
|
| 1333 |
|
|
|
| 1334 |
|
|
ZplusJetsplusTTbar2->SetMarkerSize(0);
|
| 1335 |
|
|
ZplusJetsplusTTbar2->Draw("same");
|
| 1336 |
|
|
|
| 1337 |
buchmann |
1.7 |
zjetsc->Draw("same");zjetscn->Draw("same");zjetscp->Draw("same");
|
| 1338 |
|
|
logparc->Draw("same");
|
| 1339 |
|
|
logparcn->Draw("same");
|
| 1340 |
|
|
logparcp->Draw("same");
|
| 1341 |
buchmann |
1.8 |
additionallegend->Draw("same");
|
| 1342 |
|
|
if(scenario==0) {
|
| 1343 |
|
|
CompleteSave(c6,"Shapes2/Background_Shapes___3jetsabove30__allfits__"+writescenario);
|
| 1344 |
|
|
} else {
|
| 1345 |
|
|
CompleteSave(c6,"Shapes2/Background_Shapes___2jetsabove50__allfits__"+writescenario);
|
| 1346 |
|
|
}
|
| 1347 |
buchmann |
1.10 |
//--------------------------------------------------------------------------------------------------------------------------------
|
| 1348 |
buchmann |
1.3 |
}
|
| 1349 |
|
|
|
| 1350 |
buchmann |
1.9 |
|
| 1351 |
|
|
|
| 1352 |
buchmann |
1.2 |
void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
|
| 1353 |
buchmann |
1.3 |
int all_leptons=-1;
|
| 1354 |
|
|
int electrons_only=0;
|
| 1355 |
|
|
int mu_only=1;
|
| 1356 |
|
|
int twojetswith50gev=1;
|
| 1357 |
|
|
int threejetswith30gev=0;
|
| 1358 |
buchmann |
1.4 |
/*
|
| 1359 |
buchmann |
1.3 |
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
|
| 1360 |
|
|
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
|
| 1361 |
|
|
|
| 1362 |
|
|
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,electrons_only,twojetswith50gev);
|
| 1363 |
|
|
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,electrons_only,threejetswith30gev);
|
| 1364 |
|
|
|
| 1365 |
|
|
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,mu_only,twojetswith50gev);
|
| 1366 |
|
|
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,mu_only,threejetswith30gev);
|
| 1367 |
buchmann |
1.4 |
*/
|
| 1368 |
buchmann |
1.2 |
|
| 1369 |
buchmann |
1.10 |
draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
|
| 1370 |
buchmann |
1.2 |
}
|
| 1371 |
buchmann |
1.6 |
|
| 1372 |
buchmann |
1.8 |
void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
|
| 1373 |
buchmann |
1.9 |
TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
|
| 1374 |
buchmann |
1.8 |
TH1F *dresponse = allsamples.Draw("dresponse","sumJetPt[1]/pt",100,0,5, "JZB (GeV)", "events", zptcutforresponse,data,luminosity);
|
| 1375 |
|
|
float datacorrection=dresponse->GetMean();
|
| 1376 |
|
|
stringstream jzbvardatas;
|
| 1377 |
buchmann |
1.9 |
if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
|
| 1378 |
|
|
if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
|
| 1379 |
buchmann |
1.8 |
jzbvardata=jzbvardatas.str();
|
| 1380 |
buchmann |
1.11 |
TH1F *mcresponse = allsamples.Draw("mcresponse","sumJetPt[1]/pt",100,0,5, "JZB (GeV)", "events", zptcutforresponse,mc,luminosity,allsamples.FindSample("DYJetsToLL_TuneZ2_M"));
|
| 1381 |
buchmann |
1.8 |
float mccorrection=mcresponse->GetMean();
|
| 1382 |
|
|
stringstream jzbvarmcs;
|
| 1383 |
buchmann |
1.9 |
if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
|
| 1384 |
|
|
if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
|
| 1385 |
buchmann |
1.8 |
jzbvarmc=jzbvarmcs.str();
|
| 1386 |
|
|
cout << "JZB Z pt correction summary : " << endl;
|
| 1387 |
|
|
cout << " Data: The response is " << dresponse->GetMean() << " --> jzb variable is now : " << jzbvardata << endl;
|
| 1388 |
|
|
cout << " MC : The response is " << mcresponse->GetMean() << " --> jzb variable is now : " << jzbvarmc << endl;
|
| 1389 |
|
|
}
|
| 1390 |
buchmann |
1.11 |
|
| 1391 |
buchmann |
1.12 |
void do_experimental_pred_obs_calculation(float cut ,string mcjzb,string datajzb, int mcordata) {
|
| 1392 |
buchmann |
1.11 |
cout << "Crunching the numbers for JZB>" << cut << endl;
|
| 1393 |
buchmann |
1.12 |
string xlabel="JZB (GeV) -- for algoritm internal use only!";
|
| 1394 |
|
|
TH1F *ZOSSFP = allsamples.Draw("ZOSSFP",datajzb,1,cut,14000, xlabel, "events",cutmass&&cutOSSF&&cutnJets&&basiccut,mcordata,luminosity);
|
| 1395 |
|
|
TH1F *ZOSOFP = allsamples.Draw("ZOSOFP",datajzb,1,cut,14000, xlabel, "events",cutmass&&cutOSOF&&cutnJets&&basiccut,mcordata,luminosity);
|
| 1396 |
|
|
TH1F *ZOSSFN = allsamples.Draw("ZOSSFN","-"+datajzb,1,cut,14000, xlabel, "events",cutmass&&cutOSSF&&cutnJets&&basiccut,mcordata,luminosity);
|
| 1397 |
|
|
TH1F *ZOSOFN = allsamples.Draw("ZOSOFN","-"+datajzb,1,cut,14000, xlabel, "events",cutmass&&cutOSOF&&cutnJets&&basiccut,mcordata,luminosity);
|
| 1398 |
|
|
|
| 1399 |
|
|
TH1F *SBOSSFP = allsamples.Draw("SBOSSFP",datajzb,1,cut,14000, xlabel, "events",cutOSSF&&cutnJets&&basiccut&&sidebandcut,mcordata,luminosity);
|
| 1400 |
|
|
TH1F *SBOSOFP = allsamples.Draw("SBOSOFP",datajzb,1,cut,14000, xlabel, "events",cutOSOF&&cutnJets&&basiccut&&sidebandcut,mcordata,luminosity);
|
| 1401 |
|
|
TH1F *SBOSSFN = allsamples.Draw("SBOSSFN","-"+datajzb,1,cut,14000, xlabel, "events",cutOSSF&&cutnJets&&basiccut&&sidebandcut,mcordata,luminosity);
|
| 1402 |
|
|
TH1F *SBOSOFN = allsamples.Draw("SBOSOFN","-"+datajzb,1,cut,14000, xlabel, "events",cutOSOF&&cutnJets&&basiccut&&sidebandcut,mcordata,luminosity);
|
| 1403 |
buchmann |
1.11 |
|
| 1404 |
|
|
cout << " Observed : " << ZOSSFP->Integral() << endl;
|
| 1405 |
|
|
cout << " Predicted: " << ZOSSFN->Integral() << " + (1/3)*(" << ZOSOFP->Integral() << "-" << ZOSOFN->Integral()<<") + (1/3)*(" << SBOSSFP->Integral() << "-" << SBOSSFN->Integral()<<") + (1/3)*(" << SBOSOFP->Integral() << "-" << SBOSOFN->Integral()<<")" << endl;
|
| 1406 |
buchmann |
1.12 |
cout << " P(ZJets ) \t " << ZOSSFN->Integral() << endl;
|
| 1407 |
|
|
cout << " P(eμ]) \t " << ZOSOFP->Integral() << "-" << ZOSOFN->Integral() << " = " << ZOSOFP->Integral()-ZOSOFN->Integral()<<endl;
|
| 1408 |
|
|
cout << " P(ossf,sb]) \t " << SBOSSFP->Integral() << "-" << SBOSSFN->Integral()<<" = "<<SBOSSFP->Integral()-SBOSSFN->Integral()<<endl;
|
| 1409 |
|
|
cout << " P(osof,sb]) \t " << SBOSOFP->Integral() << "-" << SBOSOFN->Integral()<<" = "<<SBOSOFP->Integral()-SBOSOFN->Integral()<<endl;
|
| 1410 |
buchmann |
1.11 |
|
| 1411 |
|
|
delete ZOSSFP;
|
| 1412 |
|
|
delete ZOSOFP;
|
| 1413 |
|
|
delete ZOSSFN;
|
| 1414 |
|
|
delete ZOSOFN;
|
| 1415 |
|
|
|
| 1416 |
|
|
delete SBOSSFP;
|
| 1417 |
|
|
delete SBOSOFP;
|
| 1418 |
|
|
delete SBOSSFN;
|
| 1419 |
|
|
delete SBOSOFN;
|
| 1420 |
|
|
|
| 1421 |
|
|
}
|
| 1422 |
|
|
|
| 1423 |
|
|
void look_at_sidebands(string mcjzb, string datajzb) {
|
| 1424 |
|
|
|
| 1425 |
|
|
cout << "Looking at sidebands ... " << endl;
|
| 1426 |
buchmann |
1.12 |
int mcordata=data;//data // you can perform this study for mc or data ...
|
| 1427 |
|
|
|
| 1428 |
buchmann |
1.11 |
|
| 1429 |
|
|
int nbins=75; float min=51;float max=201;string xlabel="mll (GeV)";
|
| 1430 |
|
|
TCanvas *c1 = new TCanvas("c1","c1");
|
| 1431 |
|
|
c1->SetLogy(1);
|
| 1432 |
|
|
TH1F *datahistoOSSF = allsamples.Draw("datahistoOSSF","mll",nbins,min,max, xlabel, "events",cutOSSF&&cutnJets&&basiccut,data,luminosity);
|
| 1433 |
|
|
THStack mcstackOSSF = allsamples.DrawStack("mcstackOSSF","mll",nbins,min,max, xlabel, "events",cutOSSF&&cutnJets&&basiccut,mc,luminosity);
|
| 1434 |
|
|
|
| 1435 |
|
|
datahistoOSSF->SetMinimum(1);
|
| 1436 |
|
|
datahistoOSSF->Draw();
|
| 1437 |
|
|
mcstackOSSF.Draw("same");
|
| 1438 |
|
|
datahistoOSSF->Draw("same");
|
| 1439 |
|
|
TLegend *kinleg = allsamples.allbglegend();
|
| 1440 |
|
|
kinleg->AddEntry(datahistoOSSF,"OSSF (data)","p");
|
| 1441 |
|
|
kinleg->Draw();
|
| 1442 |
|
|
CompleteSave(c1,"test/OSSF");
|
| 1443 |
|
|
|
| 1444 |
|
|
TH1F *datahistoOSOF = allsamples.Draw("datahistoOSOF","mll",nbins,min,max, xlabel, "events",cutOSOF&&cutnJets&&basiccut,data,luminosity);
|
| 1445 |
|
|
THStack mcstackOSOF = allsamples.DrawStack("mcstackOSOF","mll",nbins,min,max, xlabel, "events",cutOSOF&&cutnJets&&basiccut,mc,luminosity);
|
| 1446 |
|
|
datahistoOSOF->SetMinimum(0.4);
|
| 1447 |
|
|
datahistoOSOF->Draw();
|
| 1448 |
|
|
mcstackOSOF.Draw("same");
|
| 1449 |
|
|
datahistoOSOF->Draw("same");
|
| 1450 |
|
|
TLegend *kinleg2 = allsamples.allbglegend();
|
| 1451 |
|
|
kinleg2->AddEntry(datahistoOSOF,"OSOF (data)","p");
|
| 1452 |
|
|
kinleg2->Draw();
|
| 1453 |
|
|
CompleteSave(c1,"test/OSOF");
|
| 1454 |
|
|
|
| 1455 |
buchmann |
1.12 |
TH1F *rawmlleemmData = allsamples.Draw("rawmlleemmData","mll",200,0,200, "JZB (GeV)", "events", cutOSSF&&cutnJets&&sidebandcut,data, luminosity);
|
| 1456 |
buchmann |
1.11 |
TH1F *rawmllemData = allsamples.Draw("rawmllemData" ,"mll",200,0,200, "JZB (GeV)", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
|
| 1457 |
|
|
cout << "Number of events in peak for OSOF: " << rawmllemData->GetEntries() << endl;
|
| 1458 |
|
|
cout << "Number of events in SB for OSSF: " << rawmlleemmData->GetEntries() << endl;
|
| 1459 |
|
|
|
| 1460 |
|
|
TH1F *SFttbarZpeak = allsamples.Draw("SFttbarZpeak",mcjzb,100,-200,400, "JZB (GeV)", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJets"));
|
| 1461 |
|
|
TH1F *OFttbarZpeak = allsamples.Draw("OFttbarZpeak",mcjzb,100,-200,400, "JZB (GeV)", "events",cutmass&&cutOSOF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJets"));
|
| 1462 |
buchmann |
1.12 |
TH1F *SFttbarsideb = allsamples.Draw("SFttbarsideb",mcjzb,100,-200,400, "JZB (GeV)", "events",cutOSSF&&cutnJets&&sidebandcut,mc,luminosity,allsamples.FindSample("TTJets"));
|
| 1463 |
buchmann |
1.11 |
|
| 1464 |
|
|
SFttbarZpeak->SetLineColor(kBlack);
|
| 1465 |
|
|
OFttbarZpeak->SetLineColor(kBlue);
|
| 1466 |
|
|
SFttbarsideb->SetLineColor(kPink);
|
| 1467 |
|
|
|
| 1468 |
|
|
SFttbarZpeak->Draw("histo");
|
| 1469 |
|
|
OFttbarZpeak->Draw("histo,same");
|
| 1470 |
|
|
SFttbarsideb->Draw("histo,same");
|
| 1471 |
|
|
|
| 1472 |
|
|
TLegend *leg3 = new TLegend(0.6,0.8,0.89,0.89);
|
| 1473 |
|
|
leg3->AddEntry(SFttbarZpeak,"SF ttbar Z peak","l");
|
| 1474 |
|
|
leg3->AddEntry(OFttbarZpeak,"OF ttbar Z peak","l");
|
| 1475 |
|
|
leg3->AddEntry(SFttbarsideb,"SF ttbar SB","l");
|
| 1476 |
|
|
leg3->SetFillColor(kWhite);
|
| 1477 |
|
|
leg3->SetLineColor(kWhite);
|
| 1478 |
|
|
leg3->Draw();
|
| 1479 |
|
|
CompleteSave(c1,"test/ttbar_comparison");
|
| 1480 |
|
|
|
| 1481 |
|
|
cout << "Moving on to predicted / observed yields! " << endl;
|
| 1482 |
buchmann |
1.12 |
cout << "Sideband definition: " << (const char*) sidebandcut << endl;
|
| 1483 |
|
|
do_experimental_pred_obs_calculation(50,mcjzb,datajzb,mcordata);
|
| 1484 |
|
|
do_experimental_pred_obs_calculation(75,mcjzb,datajzb,mcordata);
|
| 1485 |
|
|
do_experimental_pred_obs_calculation(100,mcjzb,datajzb,mcordata);
|
| 1486 |
|
|
do_experimental_pred_obs_calculation(125,mcjzb,datajzb,mcordata);
|
| 1487 |
|
|
do_experimental_pred_obs_calculation(150,mcjzb,datajzb,mcordata);
|
| 1488 |
|
|
}
|
| 1489 |
|
|
|
| 1490 |
|
|
void pick_up_events(string cut) {
|
| 1491 |
|
|
cout << "Picking up events with cut " << cut << endl;
|
| 1492 |
|
|
allsamples.PickUpEvents(cut);
|
| 1493 |
buchmann |
1.11 |
}
|
| 1494 |
|
|
|
| 1495 |
|
|
void test() {
|
| 1496 |
|
|
TCanvas *testcanv = new TCanvas("testcanv","testcanv");
|
| 1497 |
|
|
testcanv->cd();
|
| 1498 |
|
|
switch_overunderflow(true);
|
| 1499 |
|
|
TH1F *ptdistr = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} (GeV)", "events", cutOSSF,data,luminosity);
|
| 1500 |
|
|
switch_overunderflow(false);
|
| 1501 |
|
|
ptdistr->Draw();
|
| 1502 |
|
|
testcanv->SaveAs("test.png");
|
| 1503 |
|
|
cout << "HELLO there!" << endl;
|
| 1504 |
|
|
}
|
