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#include <iostream>
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#include <vector>
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#include <sys/stat.h>
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#include <algorithm>
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#include <cmath>
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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 "SampleClass.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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string geqleq;
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string mcjzbexpression;
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bool automatized=false;//if we're running this fully automatized we don't want each function to flood the screen
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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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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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//______________________________________________________________________________
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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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// 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, int flipped) {
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iplot++;
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int count=iplot;
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string locmcjzbexpression=mcjzbexpression;
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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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSOF,"goff");
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float obs=0;
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float pred=0;
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flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
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if(PlottingSetup::RestrictToMassPeak) {
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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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+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(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSOF,"goff");
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obs = hossfp->Integral();
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pred= hossfn->Integral() + (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
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if(flipped>0) {
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obs = hossfn->Integral();
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pred= hossfp->Integral() - (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
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}
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delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
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} else {
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obs = hossfp->Integral();
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pred= hossfn->Integral() + (hosofp->Integral() - hosofn->Integral());
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if(flipped>0) {
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obs = hossfn->Integral();
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pred= hossfp->Integral() - (hosofp->Integral() - hosofn->Integral());;
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}
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}
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delete hossfp,hossfn,hosofp,hosofn;
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return obs-pred;
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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, int flipped) {
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iplot++;
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int count=iplot;
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iplot++;
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int count2=iplot;
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// Define new histogram
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char hname[30]; sprintf(hname,"hJzbEff%d",count);
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char hname2[30]; sprintf(hname2,"hJzbEff%d",count2);
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TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB [GeV]; Efficiency",nBins,jzbMin,jzbMax);
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TH1F* hJzbEff2= new TH1F(hname2,"JZB selection efficiency ; JZB [GeV]; Efficiency",1,-14000,14000);
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Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
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if(flipped==0) events->Draw((mcjzbexpression+">>"+(string)hname2).c_str(),("genJZB>-400"&&kbase),"goff");
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else events->Draw(("(-"+mcjzbexpression+")>>"+(string)hname2).c_str(),("genJZB>-400"&&kbase),"goff");
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Float_t maxEff = hJzbEff2->Integral();
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if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff << std::endl;
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if(verbose>0) dout << "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,"genJZB>%3f",jzbMin+iBin*step);
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if(flipped==0) events->Draw((mcjzbexpression+">>"+(string)hname2).c_str(),(TCut(cut)&&kbase),"goff");
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if(flipped>0) events->Draw(("(-"+mcjzbexpression+")>>"+(string)hname2).c_str(),(TCut(cut)&&kbase),"goff");
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Float_t eff = static_cast<Float_t>(hJzbEff2->Integral())/maxEff;
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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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delete hJzbEff2;
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return hJzbEff;
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}
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//________________________________________________________________________________________
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// Master Formula
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void master_formula(std::vector<float> eff, float &errHi, float &errLo) {
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float x0 = eff[0];
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float deltaPos = 0, deltaNeg = 0;
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for(int k = 0; k < (eff.size()-1)/2; k++) {
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float xneg = eff[2*k+2];
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float xpos = eff[2*k+1];
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if(xpos-x0>0 || xneg-x0>0) {
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if(xpos-x0 > xneg-x0) {
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deltaPos += (xpos-x0)*(xpos-x0);
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} else {
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deltaPos += (xneg-x0)*(xneg-x0);
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}
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}
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if(x0-xpos>0 || x0-xneg>0) {
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if(x0-xpos > x0-xneg) {
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deltaNeg += (xpos-x0)*(xpos-x0);
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} else {
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deltaNeg += (xneg-x0)*(xneg-x0);
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}
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}
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}
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errHi = sqrt(deltaPos);
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errLo = sqrt(deltaNeg);
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}
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//________________________________________________________________________________________
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// Get normalization factor for the PDFs
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float get_norm_pdf_factor(TTree *events, int k, string addcut) {
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TH1F *haux = new TH1F("haux", "", 10000, 0, 5);
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char nameVar[20];
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sprintf(nameVar, "pdfW[%d]", k);
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events->Project("haux", nameVar, addcut.c_str());
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float thisW = haux->Integral();
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events->Project("haux", "pdfW[0]");
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float normW = haux->Integral();
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float factor=thisW/normW;
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delete haux;
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return factor;
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}
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//________________________________________________________________________________________
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// Pile-up efficiency
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float pileup(TTree *events, bool requireZ, string informalname, int flipped, string addcut="",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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flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
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TCut kbase(PlottingSetup::genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
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if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
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if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
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TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
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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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if(!automatized) dout << " 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);
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}
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//____________________________________________________________________________________
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// Effect of peak shifting
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void PeakError(TTree *events,float &result, string mcjzb, float peakerr,int flipped,string addcut="") {
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//Note: the cut used here is something like (JZBEXPRESSION+(peakerr)>50) without all the other cuts, to increase statistics (particularly for scans)
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| 270 |
TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 271 |
TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 272 |
TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
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TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 274 |
TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 275 |
TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 276 |
nBins = 1;
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| 277 |
string informalname="PeakErrorCalculation";
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| 278 |
float resup,resdown,rescent;
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| 279 |
for(int i=0;i<3;i++) {
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| 280 |
string poscut,negcut;
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| 281 |
if(i==0) {
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| 282 |
poscut=peakcentral;
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negcut=npeakcentral;
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| 284 |
} else if(i==1) {
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| 285 |
poscut=peakdown;
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| 286 |
negcut=npeakdown;
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| 287 |
} else if(i==2) {
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| 288 |
poscut=peakup;
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| 289 |
negcut=npeakup;
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| 290 |
}
|
| 291 |
float res;
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| 292 |
if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
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| 293 |
else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
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| 294 |
if(i==0) rescent=res;
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| 295 |
else if(i==1) resdown=res;
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| 296 |
else if(i==2) resup=res;
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| 297 |
}
|
| 298 |
if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/(float)rescent);
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| 299 |
else result=(TMath::Abs(rescent-resdown)/(float)rescent);
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| 300 |
if(!automatized) cout << " " << result << endl;
|
| 301 |
}
|
| 302 |
|
| 303 |
|
| 304 |
void MCPartialefficiency(TTree *events,float &result, float &resulterr,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0, int type = 0) {
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| 305 |
if(!events) {
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| 306 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
| 307 |
result=0;resulterr=0;
|
| 308 |
return;
|
| 309 |
}
|
| 310 |
|
| 311 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
| 312 |
char metSel[256]; sprintf(metSel, "met[4] > %f", jzbSel);
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| 313 |
string metSelection(metSel);
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| 314 |
// All acceptance cuts at gen. level
|
| 315 |
//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
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| 316 |
TCut kbase("");
|
| 317 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 318 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
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| 319 |
// Corresponding reco. cuts
|
| 320 |
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| 321 |
TCut acceptance("genPt2 != 0");
|
| 322 |
TCut massId(cutmass&&cutOSSF);
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| 323 |
TCut njets(cutnJets);
|
| 324 |
TCut jzbp;
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| 325 |
TCut jzbn;
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| 326 |
TCut met(("pfJetGoodNum > 1 && abs(mll-91.2) < 10.0 && id1 == id2 &&" + metSelection).c_str());
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| 327 |
if(flipped==0) {
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| 328 |
jzbp=TCut((TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
| 329 |
jzbn=TCut((TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
| 330 |
} else {
|
| 331 |
jzbp=TCut(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 332 |
jzbn=TCut(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
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| 333 |
}
|
| 334 |
float ntotal = events->Draw("pt1", addcut.c_str(), "goff");
|
| 335 |
TCut theCut;
|
| 336 |
switch(type) {
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| 337 |
case 1:
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| 338 |
theCut = kbase+acceptance;
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| 339 |
break;
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| 340 |
case 2:
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| 341 |
theCut = kbase+massId;
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| 342 |
break;
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| 343 |
case 3:
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| 344 |
theCut = kbase+massId+njets;
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| 345 |
break;
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| 346 |
case 4:
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| 347 |
theCut = kbase+massId+njets+jzbn;
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| 348 |
break;
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| 349 |
case 5:
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| 350 |
theCut = kbase + met;
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| 351 |
break;
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| 352 |
default:
|
| 353 |
theCut = kbase+massId+njets+jzbn;
|
| 354 |
break;
|
| 355 |
}
|
| 356 |
|
| 357 |
string stheCut(theCut);
|
| 358 |
char var[20];
|
| 359 |
sprintf(var, "pdfW[%d]", k);
|
| 360 |
|
| 361 |
string svar(var);
|
| 362 |
string newtheCut;
|
| 363 |
if(k>0) newtheCut = "(" + stheCut + ")*" + svar;
|
| 364 |
else newtheCut = "(" + stheCut + ")"; // for k==0 or even k==-1 we don't need to evaluate PDFs
|
| 365 |
|
| 366 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
| 367 |
if(k>=0) events->Draw((mcjzbexpression+">>effh").c_str(), newtheCut.c_str(),"goff");
|
| 368 |
else events->Draw((mcjzbexpression+">>effh").c_str(), theCut,"goff");
|
| 369 |
Float_t sel = effh->Integral();
|
| 370 |
Float_t nsel=0;
|
| 371 |
//Corrections due to normalization in the PDF. This has to be applied as well to the number of events in a file if the definition changes at some point.
|
| 372 |
float normFactor = 1;
|
| 373 |
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
| 374 |
sel = sel/normFactor;
|
| 375 |
|
| 376 |
result=(sel)/ntotal;
|
| 377 |
resulterr=TMath::Sqrt(sel/ntotal*(1+sel/ntotal)/ntotal);
|
| 378 |
|
| 379 |
delete effh;
|
| 380 |
}
|
| 381 |
|
| 382 |
//____________________________________________________________________________________
|
| 383 |
// Total selection efficiency (MC)
|
| 384 |
//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
|
| 385 |
Value MCefficiency(TTree *events,float &result, float &resulterr, int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
|
| 386 |
if(!events) {
|
| 387 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
| 388 |
result=0;
|
| 389 |
resulterr=0;
|
| 390 |
return Value(0,0);
|
| 391 |
}
|
| 392 |
|
| 393 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
| 394 |
// All acceptance cuts at gen. level
|
| 395 |
//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
|
| 396 |
TCut kbase("");
|
| 397 |
|
| 398 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 399 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 400 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 401 |
// Corresponding reco. cuts
|
| 402 |
|
| 403 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 404 |
TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 405 |
TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 406 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 407 |
if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
|
| 408 |
ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 409 |
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 410 |
if(flipped>0) {
|
| 411 |
ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 412 |
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 413 |
}
|
| 414 |
} else {
|
| 415 |
//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
|
| 416 |
ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
| 417 |
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
| 418 |
if(flipped>0) {
|
| 419 |
ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
| 420 |
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
| 421 |
}
|
| 422 |
}
|
| 423 |
|
| 424 |
TCut posSide = kbase&&ksel;
|
| 425 |
TCut negSide = kbase&&ksel2;
|
| 426 |
string sposSide(posSide);
|
| 427 |
string snegSide(negSide);
|
| 428 |
char var[20];
|
| 429 |
sprintf(var, "pdfW[%d]", k);
|
| 430 |
if(k==-1) sprintf(var,"1.0");//case in which we don't want to evaluate PDFs
|
| 431 |
string svar(var);
|
| 432 |
string newPosSide = "((id1==id2)&&(" + sposSide + "))*" + svar;
|
| 433 |
string newNegSide = "((id1==id2)&&(" + snegSide + "))*" + svar;
|
| 434 |
string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))*" + svar; // only used for off peak analysis
|
| 435 |
string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))*" + svar; // only used for off peak analysis
|
| 436 |
|
| 437 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
| 438 |
if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), TCut(newPosSide.c_str())*cutWeight,"goff");
|
| 439 |
else events->Draw((mcjzbexpression+">>effh").c_str(), TCut((sposSide+"&&(id1==id2)").c_str())*cutWeight,"goff");//the OSSF condition is added for the offpeak analysis, in onpeak case it's there already but doesn't change anything.
|
| 440 |
|
| 441 |
Float_t sel = effh->Integral();
|
| 442 |
Float_t nsel=0;
|
| 443 |
|
| 444 |
///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
|
| 445 |
|
| 446 |
if(ConsiderSignalContaminationForLimits) {
|
| 447 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 448 |
if(PlottingSetup::RestrictToMassPeak) {
|
| 449 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*cutWeight,"goff");
|
| 450 |
nsel += effh->Integral();
|
| 451 |
} else {
|
| 452 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*cutWeight,"goff");
|
| 453 |
nsel += effh->Integral();
|
| 454 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewPosSide.c_str()))*cutWeight,"goff");
|
| 455 |
nsel += effh->Integral();
|
| 456 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewNegSide.c_str()))*cutWeight,"goff");
|
| 457 |
nsel -= effh->Integral();
|
| 458 |
}
|
| 459 |
}
|
| 460 |
|
| 461 |
//Corrections due to normalization in the PDF. This has to be applied as well to the number of events in a file if the definition changes at some point.
|
| 462 |
float normFactor = 1;
|
| 463 |
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
| 464 |
sel = sel/normFactor;
|
| 465 |
nsel = nsel/normFactor;
|
| 466 |
|
| 467 |
Float_t tot = Neventsinfile;
|
| 468 |
|
| 469 |
Value result_wo_signalcont;
|
| 470 |
|
| 471 |
if(ConsiderSignalContaminationForLimits) {
|
| 472 |
result=(sel-nsel)/tot;
|
| 473 |
resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
|
| 474 |
result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
|
| 475 |
} else {//no signal contamination considered:
|
| 476 |
result=(sel)/tot;
|
| 477 |
resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
|
| 478 |
result_wo_signalcont=Value(result,resulterr);
|
| 479 |
}
|
| 480 |
if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
|
| 481 |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
|
| 482 |
delete effh;
|
| 483 |
return result_wo_signalcont;
|
| 484 |
}
|
| 485 |
|
| 486 |
|
| 487 |
|
| 488 |
//____________________________________________________________________________________
|
| 489 |
// Selection efficiency for one process (MC)
|
| 490 |
// not in use anymore.
|
| 491 |
/*
|
| 492 |
vector<float> processMCefficiency(TTree *events,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
|
| 493 |
vector<float> process_efficiencies;
|
| 494 |
for(int iprocess=0;iprocess<=10;iprocess++) {
|
| 495 |
float this_process_efficiency,efferr;
|
| 496 |
stringstream addcutplus;
|
| 497 |
addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
|
| 498 |
MCefficiency(events,this_process_efficiency, efferr,flipped,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
|
| 499 |
process_efficiencies.push_back(this_process_efficiency);
|
| 500 |
}
|
| 501 |
return process_efficiencies;
|
| 502 |
}
|
| 503 |
*/
|
| 504 |
|
| 505 |
void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, int flipped, bool requireZ, string addcut="") {
|
| 506 |
TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
|
| 507 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 508 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 509 |
TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
|
| 510 |
Int_t bin = hLM4->FindBin(jzbSel); // To get the error
|
| 511 |
jzbeff=Interpolate(jzbSel,hLM4);
|
| 512 |
jzbefferr=hLM4->GetBinError(bin);
|
| 513 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
| 514 |
if(!automatized) dout << " " << jzbeff << "+-" << jzbefferr << std::endl;
|
| 515 |
}
|
| 516 |
|
| 517 |
//________________________________________________________________________
|
| 518 |
// Effect of energy scale on efficiency
|
| 519 |
void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname, int flipped, bool requireZ,string addcut="",Float_t jzbSelection=-1, TString plotName = "" ) {
|
| 520 |
TCut kbase(genMassCut&&"genZPt>0");
|
| 521 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 522 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 523 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 524 |
|
| 525 |
TCut ksel(cutmass&&cutOSSF);
|
| 526 |
TCut nJets("pfJetGoodNum>2");
|
| 527 |
stringstream down,up;
|
| 528 |
down << "pfJetGoodNumn1sigma>=3";
|
| 529 |
up << "pfJetGoodNump1sigma>=3";
|
| 530 |
|
| 531 |
TCut nJetsP(up.str().c_str());
|
| 532 |
TCut nJetsM(down.str().c_str());
|
| 533 |
|
| 534 |
if ( !(plotName.Length()>1) ) plotName = informalname;
|
| 535 |
|
| 536 |
nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
|
| 537 |
TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname,flipped);
|
| 538 |
TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname,flipped);
|
| 539 |
TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname,flipped);
|
| 540 |
|
| 541 |
// Dump some information
|
| 542 |
Float_t eff = Interpolate(jzbSel,hist);
|
| 543 |
Float_t effp = Interpolate(jzbSel,histp);
|
| 544 |
Float_t effm = Interpolate(jzbSel,histm);
|
| 545 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
| 546 |
if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
|
| 547 |
if(!automatized) dout << " central: " << eff << std::endl;
|
| 548 |
if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
|
| 549 |
jesup=(effp-eff)/eff;
|
| 550 |
jesdown=(effm-eff)/eff;
|
| 551 |
}
|
| 552 |
|
| 553 |
//________________________________________________________________________
|
| 554 |
// Effect of energy scale on JZB efficiency
|
| 555 |
void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, int flipped, bool requireZ, string addcut) {
|
| 556 |
|
| 557 |
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
| 558 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 559 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 560 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 561 |
TCut ksel(cutmass&&cutOSSF);
|
| 562 |
|
| 563 |
nBins = 50;
|
| 564 |
jzbMin = 0.5*jzbSel;
|
| 565 |
jzbMax = 2.0*jzbSel;
|
| 566 |
|
| 567 |
TH1F* hist = plotEff(events,kbase&&ksel,informalname,flipped);
|
| 568 |
|
| 569 |
// Dump some information
|
| 570 |
Float_t eff = Interpolate(jzbSel,hist);
|
| 571 |
Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
|
| 572 |
Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
|
| 573 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
|
| 574 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
|
| 575 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
|
| 576 |
up=((effp-eff)/eff);
|
| 577 |
down=((effm-eff)/eff);
|
| 578 |
}
|
| 579 |
|
| 580 |
//________________________________________________________________________
|
| 581 |
// JZB response (true/reco. vs. true)
|
| 582 |
void JZBresponse(TTree *events, string name, bool requireZ, float &resp, float &resperr, int flipped, string addcut="", bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
|
| 583 |
|
| 584 |
jzbMin = 20;
|
| 585 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 586 |
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
| 587 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 588 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 589 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 590 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 591 |
TCut ksel(cutmass&&cutOSSF);
|
| 592 |
|
| 593 |
TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
|
| 594 |
|
| 595 |
string locmcjzbexpression=mcjzbexpression;
|
| 596 |
if(flipped>0) locmcjzbexpression="-"+locmcjzbexpression;
|
| 597 |
string possibleminus="";
|
| 598 |
if(flipped>0) possibleminus="-";
|
| 599 |
if (!isMET) events->Project("hJzbResp","("+TString(locmcjzbexpression)+")/("+possibleminus+"genJZB):("+possibleminus+"genJZB)",kbase&&ksel);
|
| 600 |
else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
|
| 601 |
|
| 602 |
hJzbResp->SetMaximum(1.2);
|
| 603 |
hJzbResp->SetMinimum(0.2);
|
| 604 |
hJzbResp->Fit("pol0","Q");
|
| 605 |
TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
|
| 606 |
if(!fittedfunction) {
|
| 607 |
// in case there are not enough points passing our selection
|
| 608 |
cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
|
| 609 |
resp=1;
|
| 610 |
resperr=1;
|
| 611 |
} else {
|
| 612 |
resp=fittedfunction->GetParameter(0);
|
| 613 |
resperr=fittedfunction->GetParError(0);
|
| 614 |
if(!automatized) dout << " Response: " << resp << " +/- " << resperr << endl;
|
| 615 |
}
|
| 616 |
delete hJzbResp;
|
| 617 |
}
|
| 618 |
|
| 619 |
|
| 620 |
//________________________________________________________________________________________
|
| 621 |
// PDF uncertainty
|
| 622 |
float get_pdf_uncertainty(TTree *events, int flipped, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
|
| 623 |
std::vector<float> efficiency;
|
| 624 |
for(int k = 1; k < NPdfs; k++) {
|
| 625 |
float result, resulterr;
|
| 626 |
Value flipval;
|
| 627 |
MCefficiency(events, result, resulterr, flipped, mcjzb, requireZ, Neventsinfile, addcut, k);
|
| 628 |
efficiency.push_back(result);
|
| 629 |
}
|
| 630 |
float errHi, errLow,err;
|
| 631 |
master_formula(efficiency, errHi, errLow);
|
| 632 |
err=errLow;
|
| 633 |
if(errHi>errLow) err=errHi;
|
| 634 |
if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
|
| 635 |
return err;
|
| 636 |
|
| 637 |
}
|
| 638 |
|
| 639 |
int get_npdfs(TTree *events) {
|
| 640 |
int NPDFs;
|
| 641 |
events->SetBranchAddress("NPdfs",&NPDFs);
|
| 642 |
events->GetEntry(1);
|
| 643 |
return NPDFs;
|
| 644 |
}
|
| 645 |
|
| 646 |
|
| 647 |
void do_systematics_for_one_file(TTree *events,int Neventsinfile,string informalname, vector<vector<float> > &results,int flipped, string mcjzb,string datajzb,float peakerror,bool requireZ=false, string addcut="", bool isscan=false) {
|
| 648 |
float JZBScaleUncert=0.05;
|
| 649 |
mcjzbexpression=mcjzb;
|
| 650 |
float triggereff=2.0/100;// in range [0,1]
|
| 651 |
dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
|
| 652 |
float leptonseleff=2.0/100;// in range [0,1]
|
| 653 |
leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
|
| 654 |
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
|
| 655 |
|
| 656 |
int NPdfs=0;
|
| 657 |
if(isscan) NPdfs = get_npdfs(events);
|
| 658 |
|
| 659 |
float mceff,mcefferr,jzbeff,jzbefferr;
|
| 660 |
if(!automatized) dout << "MC efficiencies:" << endl;
|
| 661 |
Value flipefficiency;
|
| 662 |
Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,flipped,mcjzb,requireZ,Neventsinfile,addcut,-1);
|
| 663 |
if(!automatized) cout << " Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
|
| 664 |
|
| 665 |
if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,flipped,requireZ,addcut);
|
| 666 |
if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
|
| 667 |
|
| 668 |
if(!automatized) dout << "Error from Peak position:";
|
| 669 |
float sysfrompeak=0;
|
| 670 |
PeakError(events,sysfrompeak,mcjzb,peakerror,flipped,addcut);
|
| 671 |
|
| 672 |
if(!automatized) dout << "Jet energy scale (JES): " << std::endl;
|
| 673 |
float jesup,jesdown;
|
| 674 |
JZBjetScale(events,jesdown,jesup,informalname,flipped,requireZ,addcut);
|
| 675 |
|
| 676 |
if(!automatized) dout << "JZB scale: " << std::endl;
|
| 677 |
float scaleup,scaledown,scalesyst;
|
| 678 |
doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,flipped,requireZ,addcut);
|
| 679 |
|
| 680 |
if(!automatized) dout << "JZB response: " << std::endl;
|
| 681 |
float resp,resperr;
|
| 682 |
if(PlottingSetup::computeJZBresponse) {
|
| 683 |
if(!automatized) dout << "JZB response: " << std::endl;
|
| 684 |
if(!isscan) JZBresponse(events,informalname,requireZ,resp,resperr,flipped,addcut);
|
| 685 |
}
|
| 686 |
|
| 687 |
if(!automatized) dout << "Pileup: " << std::endl;
|
| 688 |
// float resolution;
|
| 689 |
//resolution=pileup(events,requireZ,informalname,flipped,addcut);
|
| 690 |
|
| 691 |
float PDFuncert=0;
|
| 692 |
if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
|
| 693 |
if(isscan) PDFuncert = get_pdf_uncertainty(events, flipped, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
|
| 694 |
|
| 695 |
dout << "_______________________________________________" << endl;
|
| 696 |
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) ";
|
| 697 |
if(addcut!="") dout << "With additional cut: " << addcut;
|
| 698 |
dout << endl;
|
| 699 |
dout << "MC efficiency: " << mceff << "+/-" << mcefferr << endl; // in range [0,1]
|
| 700 |
dout << "Trigger efficiency: " << triggereff << endl; // in range [0,1]
|
| 701 |
dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
|
| 702 |
dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
|
| 703 |
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
|
| 704 |
// dout << "Resolution : " << resolution << endl; // in range [0,1]
|
| 705 |
dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
|
| 706 |
if(isscan) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1]
|
| 707 |
if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
|
| 708 |
if(PlottingSetup::computeJZBresponse)dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
|
| 709 |
|
| 710 |
float toterr=0;
|
| 711 |
toterr+=(triggereff)*(triggereff);
|
| 712 |
toterr+=(leptonseleff)*(leptonseleff);
|
| 713 |
if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
|
| 714 |
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
|
| 715 |
// toterr+=(resolution*resolution);
|
| 716 |
toterr+=(sysfrompeak*sysfrompeak);
|
| 717 |
if(isscan) toterr+=(PDFuncert*PDFuncert);
|
| 718 |
dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl;
|
| 719 |
float systerr=TMath::Sqrt(toterr)*mceff;
|
| 720 |
toterr=TMath::Sqrt(toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err!
|
| 721 |
|
| 722 |
dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst) %" << endl;
|
| 723 |
dout << " we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
|
| 724 |
dout << "_______________________________________________" << endl;
|
| 725 |
|
| 726 |
//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
|
| 727 |
vector<float> res;
|
| 728 |
res.push_back(jzbSel);
|
| 729 |
res.push_back(mceff);
|
| 730 |
res.push_back(mcefferr);
|
| 731 |
res.push_back(toterr);
|
| 732 |
res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
|
| 733 |
if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
|
| 734 |
if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
|
| 735 |
// res.push_back(fabs(resolution));
|
| 736 |
res.push_back(0.0);
|
| 737 |
res.push_back(mceff_nosigcont.getValue());
|
| 738 |
res.push_back(mceff_nosigcont.getError());
|
| 739 |
if(isscan) res.push_back(PDFuncert);
|
| 740 |
results.push_back(res);
|
| 741 |
}
|
| 742 |
|
| 743 |
vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, int flipped, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
|
| 744 |
automatized=true;
|
| 745 |
vector< vector<float> > systematics;
|
| 746 |
for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
|
| 747 |
dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
| 748 |
for(int ibin=0;ibin<bins.size();ibin++) {
|
| 749 |
jzbSel=bins[ibin];
|
| 750 |
geqleq="geq";
|
| 751 |
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,flipped,mcjzb,datajzb,mcpeakerror,requireZ);
|
| 752 |
}//end of bin loop
|
| 753 |
}//end of signal loop
|
| 754 |
return systematics;
|
| 755 |
}
|
