| 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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#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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buchmann |
1.2 |
string geqleq;
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string mcjzbexpression;
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buchmann |
1.4 |
bool automatized=false;//if we're running this fully automatized we don't want each function to flood the screen
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buchmann |
1.2 |
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TString geq_or_leq() {
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if(geqleq=="geq") return TString(">=");
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if(geqleq=="leq") return TString("<=");
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return TString("GEQ_OR_LEQ_ERROR");
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}
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buchmann |
1.1 |
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buchmann |
1.6 |
TString ngeq_or_leq() {
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if(geqleq=="geq") return TString("<=");
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if(geqleq=="leq") return TString(">=");
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return TString("NGEQ_OR_LEQ_ERROR");
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}
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buchmann |
1.1 |
//______________________________________________________________________________
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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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buchmann |
1.7 |
//____________________________________________________________________________________
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// Plotting with all contributions, i.e. sidebands, peak, osof,ossf ... (for a systematic)
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float allcontributionsplot(TTree* events, TCut kBaseCut, TCut kMassCut, TCut kSidebandCut, TCut JZBPosCut, TCut JZBNegCut) {
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iplot++;
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int count=iplot;
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// Define new histogram
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string hname=GetNumericHistoName();
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TH1F* hossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSSF,"goff");
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hname=GetNumericHistoName();
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TH1F* hossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSSF,"goff");
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hname=GetNumericHistoName();
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TH1F* hosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSOF,"goff");
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hname=GetNumericHistoName();
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TH1F* hosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSOF,"goff");
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hname=GetNumericHistoName();
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TH1F* sbhossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSSF,"goff");
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hname=GetNumericHistoName();
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TH1F* sbhossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSSF,"goff");
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hname=GetNumericHistoName();
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TH1F* sbhosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSOF,"goff");
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hname=GetNumericHistoName();
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TH1F* sbhosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSOF,"goff");
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float obs = hossfp->Integral();
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float pred= hossfn->Integral() + (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
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| 121 |
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delete hossfp,hossfn,hosofp,hosofn;
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delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
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return obs-pred;
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}
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| 126 |
buchmann |
1.1 |
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| 127 |
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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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| 132 |
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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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| 138 |
buchmann |
1.6 |
events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
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| 139 |
buchmann |
1.1 |
Float_t maxEff = events->GetSelectedRows();
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| 140 |
buchmann |
1.5 |
if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff << std::endl;
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| 141 |
buchmann |
1.1 |
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| 142 |
buchmann |
1.5 |
if(verbose>0) dout << "JZB max = " << jzbMax << std::endl;
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| 143 |
buchmann |
1.1 |
// 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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buchmann |
1.6 |
sprintf(cut,"genJZB>%3f",jzbMin+iBin*step);
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| 147 |
buchmann |
1.2 |
events->Draw(mcjzbexpression.c_str(),TCut(cut)&&kbase,"goff");
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| 148 |
buchmann |
1.1 |
Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
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| 149 |
buchmann |
1.5 |
// dout << "COUCOU " << __LINE__ << std::endl;
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buchmann |
1.1 |
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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| 158 |
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| 159 |
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//________________________________________________________________________________________
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| 160 |
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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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| 165 |
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// Acceptance cuts
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| 166 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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buchmann |
1.1 |
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| 168 |
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TH1F* hLM4 = plotEff(events,kbase,informalname);
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hLM4->SetMinimum(0.);
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| 171 |
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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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| 176 |
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| 177 |
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// Pimped-up function
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| 178 |
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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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| 180 |
buchmann |
1.5 |
if(!automatized) dout << " PU: " << funcUp->Eval(jzbSel) << " " << func->Eval(jzbSel)
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| 181 |
buchmann |
1.1 |
<< "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
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| 182 |
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| 183 |
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return (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100.;
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| 185 |
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}
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| 187 |
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//____________________________________________________________________________________
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| 188 |
buchmann |
1.6 |
// Effect of peak shifting
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| 189 |
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void PeakError(TTree *events,float &result, string mcjzb, float peakerr) {
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| 190 |
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TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 191 |
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TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 192 |
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TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 193 |
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TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 194 |
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TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 195 |
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TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 196 |
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| 197 |
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nBins = 1;
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| 198 |
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string informalname="PeakErrorCalculation";
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| 199 |
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float resup,resdown,rescent;
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| 200 |
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for(int i=0;i<3;i++) {
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| 201 |
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string poscut,negcut;
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| 202 |
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if(i==0) {
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| 203 |
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poscut=peakcentral;
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| 204 |
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negcut=npeakcentral;
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| 205 |
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} else if(i==1) {
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| 206 |
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poscut=peakdown;
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| 207 |
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negcut=npeakdown;
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| 208 |
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} else if(i==2) {
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| 209 |
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poscut=peakup;
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| 210 |
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negcut=npeakup;
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| 211 |
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}
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| 212 |
buchmann |
1.7 |
float res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
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| 213 |
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if(i==0) rescent=res;
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| 214 |
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else if(i==1) resdown=res;
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| 215 |
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else if(i==2) resup=res;
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| 216 |
buchmann |
1.6 |
}
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| 217 |
buchmann |
1.7 |
if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/rescent)*100;
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| 218 |
buchmann |
1.6 |
else result=(TMath::Abs(rescent-resdown)/rescent)*100;
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| 219 |
buchmann |
1.7 |
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| 220 |
buchmann |
1.6 |
}
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| 221 |
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| 222 |
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//____________________________________________________________________________________
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| 223 |
buchmann |
1.1 |
// Total selection efficiency (MC)
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| 224 |
buchmann |
1.4 |
void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb) {
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| 225 |
buchmann |
1.1 |
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| 226 |
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char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
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| 227 |
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// All acceptance cuts at gen. level
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| 228 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
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| 229 |
buchmann |
1.1 |
// Corresponding reco. cuts
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| 230 |
buchmann |
1.2 |
TCut ksel("abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
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| 231 |
buchmann |
1.1 |
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| 232 |
buchmann |
1.2 |
events->Draw(mcjzbexpression.c_str(),kbase&&ksel,"goff");
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| 233 |
buchmann |
1.1 |
Float_t sel = events->GetSelectedRows();
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| 234 |
buchmann |
1.2 |
events->Draw(mcjzbexpression.c_str(),kbase,"goff");
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| 235 |
buchmann |
1.1 |
Float_t tot = events->GetSelectedRows();
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| 236 |
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| 237 |
buchmann |
1.4 |
result=sel/tot;
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| 238 |
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resulterr=TMath::Sqrt(sel/tot*(1-sel/tot)/tot);
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| 239 |
buchmann |
1.5 |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << std::endl;
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| 240 |
buchmann |
1.1 |
}
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| 241 |
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| 242 |
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float JZBefficiency(TTree *events, string informalname) {
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| 243 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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| 244 |
buchmann |
1.1 |
TH1F* hLM4 = plotEff(events,kbase,informalname);
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| 245 |
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Int_t bin = hLM4->FindBin(jzbSel); // To get the error
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| 246 |
buchmann |
1.5 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
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| 247 |
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if(!automatized) dout << " " << Interpolate(jzbSel,hLM4) << "+-" << hLM4->GetBinError(bin) << std::endl;
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| 248 |
buchmann |
1.1 |
return -1;
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| 249 |
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}
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| 250 |
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| 251 |
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//________________________________________________________________________
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| 252 |
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// Effect of energy scale on efficiency
|
| 253 |
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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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| 254 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0");
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| 255 |
buchmann |
1.1 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
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| 256 |
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TCut nJets("pfJetGoodNum>2");
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| 257 |
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stringstream down,up;
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| 258 |
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down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
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| 259 |
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up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
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| 260 |
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| 261 |
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TCut nJetsP(up.str().c_str());
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| 262 |
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TCut nJetsM(down.str().c_str());
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| 263 |
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| 264 |
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if ( !(plotName.Length()>1) ) plotName = informalname;
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| 265 |
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| 266 |
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nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
|
| 267 |
|
|
TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
|
| 268 |
|
|
|
| 269 |
|
|
TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
|
| 270 |
|
|
|
| 271 |
|
|
TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
|
| 272 |
|
|
|
| 273 |
|
|
// Dump some information
|
| 274 |
|
|
Float_t eff = Interpolate(jzbSel,hist);
|
| 275 |
|
|
Float_t effp = Interpolate(jzbSel,histp);
|
| 276 |
|
|
Float_t effm = Interpolate(jzbSel,histm);
|
| 277 |
buchmann |
1.5 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
| 278 |
|
|
if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
|
| 279 |
|
|
if(!automatized) dout << " central: " << eff << std::endl;
|
| 280 |
|
|
if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
|
| 281 |
buchmann |
1.1 |
jesup=(effp-eff)/eff*100.;
|
| 282 |
|
|
jesdown=(effm-eff)/eff*100.;
|
| 283 |
|
|
}
|
| 284 |
|
|
|
| 285 |
|
|
//________________________________________________________________________
|
| 286 |
|
|
// Effect of energy scale on JZB efficiency
|
| 287 |
|
|
void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname) {
|
| 288 |
|
|
|
| 289 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
|
| 290 |
buchmann |
1.1 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
|
| 291 |
|
|
|
| 292 |
|
|
nBins = 50;
|
| 293 |
|
|
jzbMin = 0.5*jzbSel;
|
| 294 |
|
|
jzbMax = 2.0*jzbSel;
|
| 295 |
|
|
|
| 296 |
|
|
TH1F* hist = plotEff(events,kbase&&ksel,informalname);
|
| 297 |
|
|
|
| 298 |
|
|
// Dump some information
|
| 299 |
|
|
Float_t eff = Interpolate(jzbSel,hist);
|
| 300 |
|
|
Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
|
| 301 |
|
|
Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
|
| 302 |
buchmann |
1.5 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<syst*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
|
| 303 |
|
|
if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
|
| 304 |
|
|
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<syst*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
|
| 305 |
buchmann |
1.1 |
up=((effp-eff)/eff)*100;
|
| 306 |
|
|
down=((effm-eff)/eff)*100;
|
| 307 |
|
|
}
|
| 308 |
|
|
|
| 309 |
|
|
//________________________________________________________________________
|
| 310 |
|
|
// JZB response (true/reco. vs. true)
|
| 311 |
|
|
void JZBresponse(TTree *events, bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
|
| 312 |
|
|
|
| 313 |
|
|
jzbMin = 20;
|
| 314 |
buchmann |
1.6 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
|
| 315 |
buchmann |
1.1 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
|
| 316 |
|
|
|
| 317 |
|
|
TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true",
|
| 318 |
|
|
nPeriods, jzbMin, myJzbMax, "" );
|
| 319 |
|
|
|
| 320 |
buchmann |
1.6 |
if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
|
| 321 |
buchmann |
1.1 |
else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
|
| 322 |
|
|
|
| 323 |
|
|
hJzbResp->SetMaximum(1.2);
|
| 324 |
|
|
hJzbResp->SetMinimum(0.2);
|
| 325 |
|
|
hJzbResp->Fit("pol0","Q");
|
| 326 |
|
|
TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
|
| 327 |
buchmann |
1.5 |
if(!automatized) dout << " Response: " << fittedfunction->GetParameter(0) << " +/- " << fittedfunction->GetParError(0) << endl;
|
| 328 |
|
|
delete hJzbResp;
|
| 329 |
buchmann |
1.1 |
}
|
| 330 |
|
|
|
| 331 |
|
|
|
| 332 |
buchmann |
1.6 |
void do_systematics_for_one_file(TTree *events,string informalname, vector<vector<float> > &results,string mcjzb,string datajzb,float peakerror) {
|
| 333 |
buchmann |
1.1 |
|
| 334 |
|
|
float JetEnergyScaleUncert=0.1;
|
| 335 |
|
|
float JZBScaleUncert=0.1;
|
| 336 |
buchmann |
1.2 |
mcjzbexpression=mcjzb;
|
| 337 |
buchmann |
1.1 |
|
| 338 |
|
|
float triggereff=4;//percent!
|
| 339 |
buchmann |
1.5 |
dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
|
| 340 |
buchmann |
1.1 |
float leptonseleff=2;//percent!
|
| 341 |
buchmann |
1.5 |
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
|
| 342 |
buchmann |
1.1 |
|
| 343 |
|
|
float mceff,mcefferr;
|
| 344 |
buchmann |
1.5 |
if(!automatized) dout << "MC efficiencies:" << endl;
|
| 345 |
buchmann |
1.2 |
MCefficiency(events,mceff,mcefferr,mcjzb);
|
| 346 |
buchmann |
1.1 |
JZBefficiency(events,informalname);
|
| 347 |
|
|
|
| 348 |
buchmann |
1.6 |
if(!automatized) dout << "Error from Peak position:" << endl;
|
| 349 |
|
|
float sysfrompeak=0;
|
| 350 |
|
|
PeakError(events,sysfrompeak,mcjzb,peakerror);
|
| 351 |
|
|
|
| 352 |
buchmann |
1.5 |
if(!automatized) dout << "Jet energy scale: " << std::endl;
|
| 353 |
buchmann |
1.1 |
float jesup,jesdown;
|
| 354 |
|
|
JZBjetScale(events,jesdown,jesup,informalname,JetEnergyScaleUncert);
|
| 355 |
|
|
|
| 356 |
buchmann |
1.5 |
if(!automatized) dout << "JZB scale: " << std::endl;
|
| 357 |
buchmann |
1.1 |
float scaleup,scaledown,scalesyst;
|
| 358 |
|
|
doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname);
|
| 359 |
|
|
|
| 360 |
buchmann |
1.5 |
if(!automatized) dout << "JZB response: " << std::endl;
|
| 361 |
buchmann |
1.1 |
JZBresponse(events);
|
| 362 |
|
|
|
| 363 |
buchmann |
1.5 |
if(!automatized) dout << "Pileup: " << std::endl;
|
| 364 |
buchmann |
1.1 |
float resolution=pileup(events,informalname);
|
| 365 |
|
|
|
| 366 |
buchmann |
1.5 |
dout << "_______________________________________________" << endl;
|
| 367 |
buchmann |
1.6 |
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) " << endl;
|
| 368 |
|
|
dout << "MC efficiency: " << 100*mceff << "+/-" << 100*mcefferr << endl;
|
| 369 |
buchmann |
1.5 |
dout << "Trigger efficiency: " << triggereff << endl;
|
| 370 |
|
|
dout << "Lepton Sel Eff: " << leptonseleff << endl;
|
| 371 |
buchmann |
1.6 |
dout << "Jet energy scale: " << jesup << " " << jesdown << endl;
|
| 372 |
|
|
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl;
|
| 373 |
buchmann |
1.5 |
dout << "Resolution : " << resolution << endl;
|
| 374 |
buchmann |
1.6 |
dout << "From peak : " << sysfrompeak << endl;
|
| 375 |
buchmann |
1.1 |
|
| 376 |
|
|
|
| 377 |
buchmann |
1.4 |
float toterr=0;
|
| 378 |
|
|
toterr+=(triggereff/100)*(triggereff/100);
|
| 379 |
|
|
toterr+=(leptonseleff/100)*(leptonseleff/100);
|
| 380 |
|
|
if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup/100)*(jesup/100); else toterr+=(jesdown/100)*(jesdown/100);
|
| 381 |
|
|
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup/100)*(scaleup/100); else toterr+=(scaledown/100)*(scaledown/100);
|
| 382 |
|
|
toterr+=(resolution/100)*(resolution/100);
|
| 383 |
buchmann |
1.7 |
toterr+=(sysfrompeak/100)*(sysfrompeak/100);
|
| 384 |
buchmann |
1.4 |
toterr=TMath::Sqrt(toterr);
|
| 385 |
buchmann |
1.6 |
dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*toterr << " (syst) %" << endl;
|
| 386 |
buchmann |
1.5 |
dout << " we thus use the sqrt of the sum of the squares which is : " << 100*TMath::Sqrt(mcefferr*mcefferr+(toterr*toterr)) << endl;
|
| 387 |
buchmann |
1.4 |
vector<float> res;
|
| 388 |
|
|
res.push_back(jzbSel);
|
| 389 |
|
|
res.push_back(mceff);
|
| 390 |
|
|
res.push_back(mcefferr);
|
| 391 |
|
|
res.push_back(toterr);
|
| 392 |
|
|
res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
|
| 393 |
|
|
|
| 394 |
|
|
results.push_back(res);
|
| 395 |
buchmann |
1.1 |
}
|
| 396 |
|
|
|
| 397 |
buchmann |
1.6 |
vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins) {
|
| 398 |
buchmann |
1.4 |
automatized=true;
|
| 399 |
|
|
vector< vector<float> > systematics;
|
| 400 |
buchmann |
1.1 |
for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
|
| 401 |
buchmann |
1.5 |
dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
| 402 |
buchmann |
1.1 |
for(int ibin=0;ibin<bins.size();ibin++) {
|
| 403 |
|
|
jzbSel=bins[ibin];
|
| 404 |
buchmann |
1.2 |
geqleq="geq";
|
| 405 |
buchmann |
1.6 |
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror);
|
| 406 |
buchmann |
1.1 |
}//end of bin loop
|
| 407 |
|
|
}//end of signal loop
|
| 408 |
buchmann |
1.4 |
return systematics;
|
| 409 |
buchmann |
1.1 |
}
|
