| 1 |
buchmann |
1.1 |
#include <iostream>
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#include <vector>
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#include <sys/stat.h>
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#include <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 <TF1.h>
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#ifndef SampleClassLoaded
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#include "ActiveSamples.C"
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#endif
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#ifndef Verbosity
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#define Verbosity 0
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#endif
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#ifndef HUSH
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#define HUSH 1
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#endif
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#include <TFile.h>
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#include <TTree.h>
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#include <TH1.h>
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#include <TCut.h>
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#include <TMath.h>
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#include <TLine.h>
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#include <TCanvas.h>
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#include <TProfile.h>
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#include <TF1.h>
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Int_t nBins = 100;
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Float_t jzbMin = -207;
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Float_t jzbMax = 243;
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Float_t jzbSel = 100;
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int iplot=0;
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int verbose=0;
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//______________________________________________________________________________
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Double_t Interpolate(Double_t x, TH1 *histo)
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{
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// Given a point x, approximates the value via linear interpolation
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// based on the two nearest bin centers
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// Andy Mastbaum 10/21/08
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// in newer ROOT versions but not in the one I have so I had to work around that ...
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Int_t xbin = histo->FindBin(x);
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Double_t x0,x1,y0,y1;
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if(x<=histo->GetBinCenter(1)) {
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return histo->GetBinContent(1);
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} else if(x>=histo->GetBinCenter(histo->GetNbinsX())) {
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return histo->GetBinContent(histo->GetNbinsX());
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} else {
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if(x<=histo->GetBinCenter(xbin)) {
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y0 = histo->GetBinContent(xbin-1);
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x0 = histo->GetBinCenter(xbin-1);
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y1 = histo->GetBinContent(xbin);
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x1 = histo->GetBinCenter(xbin);
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} else {
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y0 = histo->GetBinContent(xbin);
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x0 = histo->GetBinCenter(xbin);
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y1 = histo->GetBinContent(xbin+1);
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x1 = histo->GetBinCenter(xbin+1);
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}
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return y0 + (x-x0)*((y1-y0)/(x1-x0));
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}
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}
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//____________________________________________________________________________________
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// Efficiency plot
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TH1F* plotEff(TTree* events, TCut kbase, TString informalname) {
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iplot++;
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int count=iplot;
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// Define new histogram
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char hname[30]; sprintf(hname,"hJzbEff%d",count);
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TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB (GeV/c); Efficiency",
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nBins,jzbMin,jzbMax);
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Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
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events->Draw("jzb[1]","genJZBSel>-400"&&kbase,"goff");
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Float_t maxEff = events->GetSelectedRows();
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if(verbose>0) std::cout << hname << " (" << informalname <<") " << maxEff << std::endl;
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if(verbose>0) std::cout << "JZB max = " << jzbMax << std::endl;
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// Loop over steps to get efficiency curve
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char cut[256];
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for ( Int_t iBin = 0; iBin<nBins; ++iBin ) {
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sprintf(cut,"genJZBSel>%3f",jzbMin+iBin*step);
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events->Draw("jzb[1]",TCut(cut)&&kbase,"goff");
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Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
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// std::cout << "COUCOU " << __LINE__ << std::endl;
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hJzbEff->SetBinContent(iBin+1,eff);
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hJzbEff->SetBinError(iBin+1,TMath::Sqrt(eff*(1-eff)/maxEff));
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}
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return hJzbEff;
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}
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//________________________________________________________________________________________
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// Pile-up efficiency
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float pileup(TTree *events, string informalname, Float_t myJzbMax = 140. ) {
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nBins = 16;
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jzbMax = myJzbMax;
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// Acceptance cuts
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TCut kbase("abs(genMllSel-91.2)<20&&pfJetGoodNum>2&&genZPtSel>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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TH1F* hLM4 = plotEff(events,kbase,informalname);
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hLM4->SetMinimum(0.);
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// Nominal function
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TF1* func = new TF1("func","0.5*TMath::Erfc([0]*x-[1])",jzbMin,jzbMax);
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func->SetParameter(0,0.03);
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func->SetParameter(1,0.);
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hLM4->Fit(func,"Q");
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// Pimped-up function
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TF1* funcUp = (TF1*)func->Clone();
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funcUp->SetParameter( 0., func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
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std::cout << " PU: " << funcUp->Eval(jzbSel) << " " << func->Eval(jzbSel)
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<< "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
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return (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100.;
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}
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//____________________________________________________________________________________
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// Total selection efficiency (MC)
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void MCefficiency(TTree *events,float &res, float &reserr) {
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char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
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// All acceptance cuts at gen. level
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TCut kbase("abs(genMllSel-91.2)<20&&pfJetGoodNum>2&&genZPt>0&&genJZB>"+TString(jzbSelStr)+"&&genId1==-genId2");
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// Corresponding reco. cuts
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TCut ksel("abs(mll-91.2)<20&&id1==id2&&jzb[1]+0.9>"+TString(jzbSelStr));
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events->Draw("jzb[1]",kbase&&ksel,"goff");
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Float_t sel = events->GetSelectedRows();
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events->Draw("jzb[1]",kbase,"goff");
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Float_t tot = events->GetSelectedRows();
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res=sel/tot;
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reserr=TMath::Sqrt(sel/tot*(1-sel/tot)/tot);
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std::cout << " MC efficiency: " << res << "+-" << reserr << std::endl;
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}
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float JZBefficiency(TTree *events, string informalname) {
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TCut kbase("abs(genMllSel-91.2)<20&&pfJetGoodNum>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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TH1F* hLM4 = plotEff(events,kbase,informalname);
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Int_t bin = hLM4->FindBin(jzbSel); // To get the error
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std::cout << " Efficiency at JZB==" << jzbSel << std::endl;
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std::cout << " " << Interpolate(jzbSel,hLM4) << "+-" << hLM4->GetBinError(bin) << std::endl;
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return -1;
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}
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//________________________________________________________________________
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// Effect of energy scale on efficiency
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void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
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TCut kbase("abs(genMllSel-91.2)<20&&genZPt>0");
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TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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TCut nJets("pfJetGoodNum>2");
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stringstream down,up;
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down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
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up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
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TCut nJetsP(up.str().c_str());
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TCut nJetsM(down.str().c_str());
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if ( jzbSelection>0 ) jzbSel = jzbSelection;
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if ( !(plotName.Length()>1) ) plotName = informalname;
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nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
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TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
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TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
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TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
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// Dump some information
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Float_t eff = Interpolate(jzbSel,hist);
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Float_t effp = Interpolate(jzbSel,histp);
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Float_t effm = Interpolate(jzbSel,histm);
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std::cout << " Efficiency at JZB==" << jzbSel << std::endl;
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std::cout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
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std::cout << " central: " << eff << std::endl;
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std::cout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
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jesup=(effp-eff)/eff*100.;
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jesdown=(effm-eff)/eff*100.;
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}
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//________________________________________________________________________
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// Effect of energy scale on JZB efficiency
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void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname) {
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TCut kbase("abs(genMllSel-91.2)<20&&genZPt>0&&pfJetGoodNum>2");
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TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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nBins = 50;
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jzbMin = 0.5*jzbSel;
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jzbMax = 2.0*jzbSel;
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TH1F* hist = plotEff(events,kbase&&ksel,informalname);
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| 211 |
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// Dump some information
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Float_t eff = Interpolate(jzbSel,hist);
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Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
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Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
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std::cout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<syst*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
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std::cout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
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std::cout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<syst*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
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up=((effp-eff)/eff)*100;
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down=((effm-eff)/eff)*100;
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}
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//________________________________________________________________________
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// JZB response (true/reco. vs. true)
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void JZBresponse(TTree *events, bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
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| 225 |
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| 226 |
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jzbMin = 20;
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TCut kbase("abs(genMllSel-91.2)<20&&genZPtSel>0&&pfJetGoodNum>2");
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TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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| 229 |
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| 230 |
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TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true",
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| 231 |
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nPeriods, jzbMin, myJzbMax, "" );
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| 232 |
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| 233 |
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if (!isMET) events->Project("hJzbResp","jzb[1]/genJZBSel:genJZBSel",kbase&&ksel);
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| 234 |
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else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
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| 235 |
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| 236 |
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hJzbResp->SetMaximum(1.2);
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| 237 |
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hJzbResp->SetMinimum(0.2);
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| 238 |
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hJzbResp->Fit("pol0","Q");
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| 239 |
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TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
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| 240 |
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cout << " Response: " << fittedfunction->GetParameter(0) << " +/- " << fittedfunction->GetParError(0) << endl;
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| 241 |
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}
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| 242 |
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| 243 |
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| 244 |
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void do_systematics_for_one_file(TTree *events,string informalname, vector<vector<float> > &uncertainties) {
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| 245 |
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| 246 |
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float JetEnergyScaleUncert=0.1;
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| 247 |
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float JZBScaleUncert=0.1;
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| 248 |
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| 249 |
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float triggereff=4;//percent!
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| 250 |
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cout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
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| 251 |
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float leptonseleff=2;//percent!
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| 252 |
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cout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
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| 253 |
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| 254 |
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float mceff,mcefferr;
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| 255 |
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cout << "MC efficiencies:" << endl;
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| 256 |
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MCefficiency(events,mceff,mcefferr);
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| 257 |
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JZBefficiency(events,informalname);
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| 258 |
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| 259 |
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std::cout << "Jet energy scale: " << std::endl;
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| 260 |
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float jesup,jesdown;
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| 261 |
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JZBjetScale(events,jesdown,jesup,informalname,JetEnergyScaleUncert);
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| 262 |
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| 263 |
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std::cout << "JZB scale: " << std::endl;
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| 264 |
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float scaleup,scaledown,scalesyst;
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| 265 |
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doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname);
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| 266 |
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| 267 |
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std::cout << "JZB response: " << std::endl;
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| 268 |
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JZBresponse(events);
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| 269 |
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| 270 |
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std::cout << "Pileup: " << std::endl;
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| 271 |
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float resolution=pileup(events,informalname);
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| 272 |
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| 273 |
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cout << "_______________________________________________" << endl;
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| 274 |
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cout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << endl;
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| 275 |
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cout << "Trigger efficiency: " << triggereff << endl;
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| 276 |
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cout << "Lepton Sel Eff: " << leptonseleff << endl;
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| 277 |
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cout << "For JZB>" << jzbSel << endl;
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| 278 |
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cout << "Jet energy scale: " << jesup << " " << jesdown << " --> suggesting: " << Round(0.5*(fabs(jesup)+fabs(jesdown)),1) << endl;
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| 279 |
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cout << "JZB Scale Uncert: " << scaledown << " " << scaleup << " --> suggesting: " << Round(0.5*(fabs(scaledown)+fabs(scaleup)),1) << endl;
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| 280 |
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cout << "Resolution : " << resolution << endl;
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| 281 |
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| 282 |
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vector<float> uncert;
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| 283 |
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uncert.push_back(jzbSel);
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| 284 |
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uncert.push_back(triggereff);
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| 285 |
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uncert.push_back(leptonseleff);
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| 286 |
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uncert.push_back(0.5*(fabs(jesup)+fabs(jesdown)));
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| 287 |
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uncert.push_back(0.5*(fabs(scaledown)+fabs(scaleup)));
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| 288 |
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uncert.push_back(resolution);
|
| 289 |
|
|
|
| 290 |
|
|
uncertainties.push_back(uncert);
|
| 291 |
|
|
}
|
| 292 |
|
|
|
| 293 |
|
|
vector<vector<float> > compute_systematics(string mcjzb, string datajzb, samplecollection &signalsamples, vector<float> bins) {
|
| 294 |
|
|
vector< vector<float> > uncertainties;
|
| 295 |
|
|
for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
|
| 296 |
|
|
cout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
| 297 |
|
|
for(int ibin=0;ibin<bins.size();ibin++) {
|
| 298 |
|
|
jzbSel=bins[ibin];
|
| 299 |
|
|
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,uncertainties);
|
| 300 |
|
|
}//end of bin loop
|
| 301 |
|
|
}//end of signal loop
|
| 302 |
|
|
return uncertainties;
|
| 303 |
|
|
}
|
