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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 "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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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) {
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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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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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//____________________________________________________________________________________
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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(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
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Float_t maxEff = events->GetSelectedRows();
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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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events->Draw(mcjzbexpression.c_str(),TCut(cut)&&kbase,"goff");
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Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
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// dout << "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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// 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) {
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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);
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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, 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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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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if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
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if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
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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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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,string addcut="") {
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TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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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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TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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nBins = 1;
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string informalname="PeakErrorCalculation";
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float resup,resdown,rescent;
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for(int i=0;i<3;i++) {
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string poscut,negcut;
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if(i==0) {
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poscut=peakcentral;
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negcut=npeakcentral;
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} else if(i==1) {
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poscut=peakdown;
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negcut=npeakdown;
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} else if(i==2) {
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poscut=peakup;
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negcut=npeakup;
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}
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float res;
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if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
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else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
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if(i==0) rescent=res;
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else if(i==1) resdown=res;
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else if(i==2) resup=res;
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}
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if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/rescent);
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else result=(TMath::Abs(rescent-resdown)/rescent);
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}
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//____________________________________________________________________________________
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// Total selection efficiency (MC)
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//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
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Value MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
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if(!events) {
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write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
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result=0;resulterr=0;
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return Value(0,0);
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}
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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(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
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TCut kbase("");
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if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
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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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// Corresponding reco. cuts
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TCut ksel("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
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TCut ksel2("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
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TCut posSide = kbase&&ksel;
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TCut negSide = kbase&&ksel2;
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string sposSide(posSide);
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string snegSide(negSide);
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char var[20];
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sprintf(var, "pdfW[%d]", k);
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string svar(var);
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string newPosSide = "(" + sposSide + ")*" + svar;
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string newNegSide = "(" + snegSide + ")*" + svar;
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TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
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if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newPosSide.c_str(),"goff");
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else events->Draw((mcjzbexpression+">>effh").c_str(), sposSide.c_str(),"goff");
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Float_t sel = effh->Integral();
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Float_t nsel=0;
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if(ConsiderSignalContaminationForLimits) {
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if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
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else events->Draw((mcjzbexpression+">>effh").c_str(), snegSide.c_str(),"goff");
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nsel = effh->Integral();
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}
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//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.
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float normFactor = 1;
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if(k>=0) get_norm_pdf_factor(events, k);
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sel = sel/normFactor;
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nsel = nsel/normFactor;
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// events->Draw(mcjzbexpression.c_str(),kbase,"goff");
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// Float_t tot = events->GetSelectedRows();
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Float_t tot = Neventsinfile;
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327 |
|
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Value result_wo_signalcont;
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329 |
|
330 |
if(ConsiderSignalContaminationForLimits) {
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result=(sel-nsel)/tot;
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resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
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result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
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} else {//no signal contamination considered:
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result=(sel)/tot;
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resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
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result_wo_signalcont=Value(result,resulterr);
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}
|
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if(!automatized && k>0 ) dout << "PDF assessment (" << k << ") : ";
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if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
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delete effh;
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return result_wo_signalcont;
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}
|
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//____________________________________________________________________________________
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// Selection efficiency for one process (MC)
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vector<float> processMCefficiency(TTree *events,string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
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vector<float> process_efficiencies;
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for(int iprocess=0;iprocess<=10;iprocess++) {
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float this_process_efficiency,efferr;
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stringstream addcutplus;
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addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
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MCefficiency(events,this_process_efficiency, efferr,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
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process_efficiencies.push_back(this_process_efficiency);
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}
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return process_efficiencies;
|
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}
|
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|
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|
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void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
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362 |
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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if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
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364 |
if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
|
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TH1F* hLM4 = plotEff(events,kbase,informalname);
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366 |
Int_t bin = hLM4->FindBin(jzbSel); // To get the error
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jzbeff=Interpolate(jzbSel,hLM4);
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368 |
jzbefferr=hLM4->GetBinError(bin);
|
369 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
370 |
if(!automatized) dout << " " << jzbeff << "+-" << jzbefferr << std::endl;
|
371 |
}
|
372 |
|
373 |
//________________________________________________________________________
|
374 |
// Effect of energy scale on efficiency
|
375 |
void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
|
376 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0");
|
377 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
378 |
if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
|
379 |
|
380 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
|
381 |
TCut nJets("pfJetGoodNum>2");
|
382 |
stringstream down,up;
|
383 |
down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
|
384 |
up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
|
385 |
|
386 |
TCut nJetsP(up.str().c_str());
|
387 |
TCut nJetsM(down.str().c_str());
|
388 |
|
389 |
if ( !(plotName.Length()>1) ) plotName = informalname;
|
390 |
|
391 |
nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
|
392 |
TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
|
393 |
|
394 |
TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
|
395 |
|
396 |
TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
|
397 |
|
398 |
// Dump some information
|
399 |
Float_t eff = Interpolate(jzbSel,hist);
|
400 |
Float_t effp = Interpolate(jzbSel,histp);
|
401 |
Float_t effm = Interpolate(jzbSel,histm);
|
402 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
403 |
if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
|
404 |
if(!automatized) dout << " central: " << eff << std::endl;
|
405 |
if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
|
406 |
jesup=(effp-eff)/eff;
|
407 |
jesdown=(effm-eff)/eff;
|
408 |
}
|
409 |
|
410 |
//________________________________________________________________________
|
411 |
// Effect of energy scale on JZB efficiency
|
412 |
void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
|
413 |
|
414 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
|
415 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
416 |
if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
|
417 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
|
418 |
|
419 |
nBins = 50;
|
420 |
jzbMin = 0.5*jzbSel;
|
421 |
jzbMax = 2.0*jzbSel;
|
422 |
|
423 |
TH1F* hist = plotEff(events,kbase&&ksel,informalname);
|
424 |
|
425 |
// Dump some information
|
426 |
Float_t eff = Interpolate(jzbSel,hist);
|
427 |
Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
|
428 |
Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
|
429 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
|
430 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
|
431 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
|
432 |
up=((effp-eff)/eff);
|
433 |
down=((effm-eff)/eff);
|
434 |
}
|
435 |
|
436 |
//________________________________________________________________________
|
437 |
// JZB response (true/reco. vs. true)
|
438 |
void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
|
439 |
|
440 |
jzbMin = 20;
|
441 |
TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
|
442 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
443 |
if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
|
444 |
TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
|
445 |
|
446 |
TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
|
447 |
|
448 |
if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
|
449 |
else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
|
450 |
|
451 |
hJzbResp->SetMaximum(1.2);
|
452 |
hJzbResp->SetMinimum(0.2);
|
453 |
hJzbResp->Fit("pol0","Q");
|
454 |
TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
|
455 |
if(!fittedfunction) {
|
456 |
// in case there are not enough points passing our selection
|
457 |
cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
|
458 |
resp=1;
|
459 |
resperr=1;
|
460 |
} else {
|
461 |
resp=fittedfunction->GetParameter(0);
|
462 |
resperr=fittedfunction->GetParError(0);
|
463 |
if(!automatized) dout << " Response: " << resp << " +/- " << resperr << endl;
|
464 |
}
|
465 |
delete hJzbResp;
|
466 |
}
|
467 |
|
468 |
|
469 |
//________________________________________________________________________________________
|
470 |
// PDF uncertainty
|
471 |
float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
|
472 |
std::vector<float> efficiency;
|
473 |
for(int k = 1; k < NPdfs; k++) {
|
474 |
float result, resulterr;
|
475 |
MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
|
476 |
efficiency.push_back(result);
|
477 |
}
|
478 |
float errHi, errLow,err;
|
479 |
master_formula(efficiency, errHi, errLow);
|
480 |
err=errLow;
|
481 |
if(errHi>errLow) err=errHi;
|
482 |
if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
|
483 |
return err;
|
484 |
|
485 |
}
|
486 |
|
487 |
int get_npdfs(TTree *events) {
|
488 |
int NPDFs;
|
489 |
events->SetBranchAddress("NPdfs",&NPDFs);
|
490 |
events->GetEntry(1);
|
491 |
return NPDFs;
|
492 |
}
|
493 |
|
494 |
|
495 |
void do_systematics_for_one_file(TTree *events,int Neventsinfile,string informalname, vector<vector<float> > &results,string mcjzb,string datajzb,float peakerror,bool requireZ=false, string addcut="", bool ismSUGRA=false) {
|
496 |
float JetEnergyScaleUncert=0.1;
|
497 |
float JZBScaleUncert=0.1;
|
498 |
mcjzbexpression=mcjzb;
|
499 |
float triggereff=5.0/100;// in range [0,1]
|
500 |
dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
|
501 |
float leptonseleff=2.0/100;// in range [0,1]
|
502 |
leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
|
503 |
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
|
504 |
|
505 |
int NPdfs=0;
|
506 |
if(ismSUGRA) NPdfs = get_npdfs(events);
|
507 |
|
508 |
float mceff,mcefferr,jzbeff,jzbefferr;
|
509 |
if(!automatized) dout << "MC efficiencies:" << endl;
|
510 |
Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut,-1);
|
511 |
if(!automatized) cout << " Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
|
512 |
|
513 |
if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
|
514 |
if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
|
515 |
|
516 |
|
517 |
if(!(mceff>0)) write_warning(__FUNCTION__,"Efficiency is zero - the systematics will not be computed!");
|
518 |
|
519 |
|
520 |
if(!automatized) dout << "Error from Peak position:" << endl;
|
521 |
float sysfrompeak=0;
|
522 |
if(mceff>0) PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
|
523 |
else dout << "Not computed." << endl;
|
524 |
|
525 |
if(!automatized) dout << "Jet energy scale: " << std::endl;
|
526 |
float jesup=0,jesdown=0;
|
527 |
if(mceff>0) JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
|
528 |
else dout << "Not computed." << endl;
|
529 |
|
530 |
if(!automatized) dout << "JZB scale: " << std::endl;
|
531 |
float scaleup=0,scaledown=0,scalesyst=0;
|
532 |
if(mceff>0) doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
|
533 |
else dout << "Not computed." << endl;
|
534 |
|
535 |
if(!automatized) dout << "JZB response: " << std::endl;
|
536 |
float resp=0,resperr=0;
|
537 |
if(PlottingSetup::computeJZBresponse && mceff>0) {
|
538 |
if(!automatized) dout << "JZB response: " << std::endl;
|
539 |
JZBresponse(events,requireZ,resp,resperr,addcut);
|
540 |
}
|
541 |
|
542 |
if(!automatized) dout << "Pileup: " << std::endl;
|
543 |
float resolution=0;
|
544 |
if(mceff>0) resolution=pileup(events,requireZ,informalname,addcut);
|
545 |
else dout << "Not computed." << endl;
|
546 |
|
547 |
float PDFuncert=0;
|
548 |
if(!automatized&&mceff>0) dout << "Assessing PDF uncertainty: " << std::endl;
|
549 |
if(ismSUGRA&&mceff>0) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
|
550 |
|
551 |
dout << "_______________________________________________" << endl;
|
552 |
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) ";
|
553 |
if(addcut!="") dout << "With additional cut: " << addcut;
|
554 |
dout << endl;
|
555 |
dout << "MC efficiency: " << mceff << "+/-" << mcefferr << endl; // in range [0,1]
|
556 |
dout << "Trigger efficiency: " << triggereff << endl; // in range [0,1]
|
557 |
dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
|
558 |
dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
|
559 |
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
|
560 |
dout << "Resolution : " << resolution << endl; // in range [0,1]
|
561 |
dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
|
562 |
if(ismSUGRA) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1]
|
563 |
if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
|
564 |
if(PlottingSetup::computeJZBresponse)dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
|
565 |
|
566 |
float toterr=0;
|
567 |
toterr+=(triggereff)*(triggereff);
|
568 |
toterr+=(leptonseleff)*(leptonseleff);
|
569 |
if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
|
570 |
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
|
571 |
toterr+=(resolution*resolution);
|
572 |
toterr+=(sysfrompeak*sysfrompeak);
|
573 |
if(ismSUGRA) toterr+=(PDFuncert*PDFuncert);
|
574 |
dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl;
|
575 |
float systerr=TMath::Sqrt(toterr)*mceff;
|
576 |
toterr=TMath::Sqrt(toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err!
|
577 |
|
578 |
dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst) %" << endl;
|
579 |
dout << " we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
|
580 |
dout << "_______________________________________________" << endl;
|
581 |
|
582 |
//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
|
583 |
vector<float> res;
|
584 |
res.push_back(jzbSel);
|
585 |
res.push_back(mceff);
|
586 |
res.push_back(mcefferr);
|
587 |
res.push_back(toterr);
|
588 |
res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
|
589 |
if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
|
590 |
if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
|
591 |
res.push_back(fabs(resolution));
|
592 |
res.push_back(mceff_nosigcont.getValue());
|
593 |
res.push_back(mceff_nosigcont.getError());
|
594 |
if(ismSUGRA) res.push_back(PDFuncert);
|
595 |
results.push_back(res);
|
596 |
}
|
597 |
|
598 |
vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
|
599 |
automatized=true;
|
600 |
vector< vector<float> > systematics;
|
601 |
for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
|
602 |
dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
603 |
for(int ibin=0;ibin<bins.size();ibin++) {
|
604 |
jzbSel=bins[ibin];
|
605 |
geqleq="geq";
|
606 |
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
|
607 |
}//end of bin loop
|
608 |
}//end of signal loop
|
609 |
return systematics;
|
610 |
}
|