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#include <iostream>
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#include <vector>
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#include <assert.h>
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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 CrossSectionReaderLoaded
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#include "CrossSectionReader.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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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&&PlottingSetup::UseSidebandsForcJZB) {
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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;
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delete sbhossfn;
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delete sbhosofp;
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delete 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;
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delete hossfn;
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delete hosofp;
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delete 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 < ((int)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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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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288 |
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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292 |
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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297 |
negcut=npeakdown;
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298 |
} else if(i==2) {
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299 |
poscut=peakup;
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300 |
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(),flipped);
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else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
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if(i==0) rescent=res;
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306 |
else if(i==1) resdown=res;
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307 |
else if(i==2) resup=res;
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308 |
}
|
309 |
if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/(float)rescent);
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310 |
else result=(TMath::Abs(rescent-resdown)/(float)rescent);
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311 |
if(!automatized) cout << " " << result << endl;
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312 |
// if(rescent==0) result=0;
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313 |
}
|
314 |
|
315 |
|
316 |
void MCPartialefficiency(TTree *events,float &result, float &resulterr,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0, int type = 0) {
|
317 |
if(!events) {
|
318 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
319 |
result=0;resulterr=0;
|
320 |
return;
|
321 |
}
|
322 |
|
323 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
324 |
char metSel[256]; sprintf(metSel, "met[4] > %f", jzbSel);
|
325 |
string metSelection(metSel);
|
326 |
TCut kbase("");
|
327 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
328 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
329 |
// Corresponding reco. cuts
|
330 |
|
331 |
TCut acceptance("genPt2 != 0");
|
332 |
TCut massId(cutmass&&cutOSSF);
|
333 |
TCut njets(cutnJets);
|
334 |
TCut jzbp;
|
335 |
TCut jzbn;
|
336 |
TCut met(("pfJetGoodNum > 1 && abs(mll-91) < 10.0 && id1 == id2 &&" + metSelection).c_str());
|
337 |
if(flipped==0) {
|
338 |
jzbp=TCut((TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
339 |
jzbn=TCut((TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
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340 |
} else {
|
341 |
jzbp=TCut(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
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342 |
jzbn=TCut(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
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343 |
}
|
344 |
float ntotal = events->Draw("pt1", addcut.c_str(), "goff");
|
345 |
TCut theCut;
|
346 |
switch(type) {
|
347 |
case 1:
|
348 |
theCut = kbase+acceptance;
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349 |
break;
|
350 |
case 2:
|
351 |
theCut = kbase+massId;
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352 |
break;
|
353 |
case 3:
|
354 |
theCut = kbase+massId+njets;
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355 |
break;
|
356 |
case 4:
|
357 |
theCut = kbase+massId+njets+jzbn;
|
358 |
break;
|
359 |
case 5:
|
360 |
theCut = kbase + met;
|
361 |
break;
|
362 |
default:
|
363 |
theCut = kbase+massId+njets+jzbn;
|
364 |
break;
|
365 |
}
|
366 |
|
367 |
string stheCut(theCut);
|
368 |
char var[20];
|
369 |
sprintf(var, "pdfW[%d]", k);
|
370 |
|
371 |
string svar(var);
|
372 |
string newtheCut;
|
373 |
if(k>0) newtheCut = "(" + stheCut + ")*" + svar;
|
374 |
else newtheCut = "(" + stheCut + ")"; // for k==0 or even k==-1 we don't need to evaluate PDFs
|
375 |
|
376 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
377 |
if(k>=0) events->Draw((mcjzbexpression+">>effh").c_str(), newtheCut.c_str(),"goff");
|
378 |
else events->Draw((mcjzbexpression+">>effh").c_str(), theCut,"goff");
|
379 |
Float_t sel = effh->Integral();
|
380 |
//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.
|
381 |
float normFactor = 1;
|
382 |
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
383 |
sel = sel/normFactor;
|
384 |
|
385 |
result=(sel)/ntotal;
|
386 |
resulterr=TMath::Sqrt(sel/ntotal*(1+sel/ntotal)/ntotal);
|
387 |
|
388 |
delete effh;
|
389 |
}
|
390 |
|
391 |
|
392 |
|
393 |
float XSForProcessViaAddCutWrapper(string addcut, map < pair<float, float>, map<string, float> > xsec, int i) {
|
394 |
int position = addcut.find("Abs(M0-");
|
395 |
string M0string=addcut.substr(position+7,4);
|
396 |
position=M0string.find(")");
|
397 |
if(position>0&&position<5) M0string=M0string.substr(0,position);
|
398 |
position = addcut.find("Abs(M12-");
|
399 |
string M12string=addcut.substr(position+8,4);
|
400 |
position=M0string.find(")");
|
401 |
if(position>0&&position<5) M12string=M12string.substr(0,position);
|
402 |
float m0=atof(M0string.c_str());
|
403 |
float m12=atof(M12string.c_str());
|
404 |
return GetXSecForPointAndChannel(m0,m12,xsec,i);
|
405 |
}
|
406 |
|
407 |
float sum(vector<float> v) {
|
408 |
float sum=0;
|
409 |
for(int i=0;i<(int)v.size();i++) sum+=v[i];
|
410 |
return sum;
|
411 |
}
|
412 |
Value mSUGRAefficiency(TTree *events,float &result, float &resulterr, int flipped, string mcjzb,bool requireZ,int Neventsinfile, int scantype, map < pair<float, float>, map<string, float> > xsec, string addcut="", int kwrong = -2) {
|
413 |
if(kwrong>0) {
|
414 |
write_error(__FUNCTION__,"Watch out, evaluation of PDF uncerts is done differently now .... asserting this and exiting, so long!");
|
415 |
assert(kwrong<=0);
|
416 |
}
|
417 |
|
418 |
if(!events) {
|
419 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
420 |
result=0;
|
421 |
resulterr=0;
|
422 |
return Value(0,0);
|
423 |
}
|
424 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
425 |
// All acceptance cuts at gen. level
|
426 |
TCut kbase(basiccut&&leptoncut);
|
427 |
|
428 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
429 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
430 |
TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
431 |
|
432 |
TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
433 |
if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
|
434 |
ksel=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
435 |
ksel2=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
436 |
if(flipped>0) {
|
437 |
ksel=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
438 |
ksel2=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
439 |
}
|
440 |
}else {
|
441 |
//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
|
442 |
ksel=TCut(cutnJets&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
443 |
ksel2=TCut(cutnJets&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
444 |
if(flipped>0) {
|
445 |
ksel=TCut(cutnJets&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
446 |
ksel2=TCut(cutnJets&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
447 |
}
|
448 |
}
|
449 |
|
450 |
TCut posSide = kbase&&ksel;
|
451 |
TCut negSide = kbase&&ksel2;
|
452 |
string sposSide(posSide);
|
453 |
string snegSide(negSide);
|
454 |
string newPosSide = "((id1==id2)&&(" + sposSide + "))";
|
455 |
string newNegSide = "((id1==id2)&&(" + snegSide + "))";
|
456 |
string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))"; // only used for off peak analysis
|
457 |
string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))"; // only used for off peak analysis
|
458 |
|
459 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
460 |
vector<float> sel;
|
461 |
vector<float> nsel;
|
462 |
vector<float> Nproc;
|
463 |
|
464 |
for(int i=0;i<11;i++) {
|
465 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(((string)sposSide+"&&(id1==id2)&&process=="+any2string(i)).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.
|
466 |
sel.push_back(effh->Integral());
|
467 |
events->Draw(("id1>>effh"), (addcut+"&&process=="+any2string(i)).c_str(),"goff");
|
468 |
Nproc.push_back(effh->Integral());
|
469 |
}
|
470 |
|
471 |
|
472 |
///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
|
473 |
|
474 |
if(ConsiderSignalContaminationForLimits) {
|
475 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
476 |
if(PlottingSetup::RestrictToMassPeak) {
|
477 |
for(int i=0;i<11;i++) {
|
478 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut((newNegSide+"&&process=="+any2string(i)).c_str()))*cutWeight,"goff");
|
479 |
nsel.push_back(effh->Integral());
|
480 |
}
|
481 |
} else {
|
482 |
for(int i=0;i<11;i++) {
|
483 |
float nselproc=0;
|
484 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut((newNegSide+"&&process=="+any2string(i)).c_str()))*cutWeight,"goff");
|
485 |
nselproc += effh->Integral();
|
486 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut((emnewPosSide+"&&process=="+any2string(i)).c_str()))*cutWeight,"goff");
|
487 |
nselproc += effh->Integral();
|
488 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut((emnewNegSide+"&&process=="+any2string(i)).c_str()))*cutWeight,"goff");
|
489 |
nselproc -= effh->Integral();
|
490 |
nsel.push_back(nselproc);
|
491 |
}
|
492 |
}
|
493 |
}
|
494 |
|
495 |
Value result_wo_signalcont;
|
496 |
|
497 |
float resultwosigcont;
|
498 |
float resultwosigconterr;
|
499 |
if(ConsiderSignalContaminationForLimits) {
|
500 |
result=0;
|
501 |
resulterr=0;
|
502 |
float totalXS=0;
|
503 |
resultwosigcont=0;
|
504 |
resultwosigconterr=0;
|
505 |
for(int i=0;i<11;i++) {
|
506 |
float xsi=XSForProcessViaAddCutWrapper(addcut,xsec,i);
|
507 |
if(Nproc[i]<1) continue;
|
508 |
result+=((sel[i]-nsel[i])/Nproc[i])*xsi;
|
509 |
totalXS+=xsi;
|
510 |
resulterr+=xsi*(sel[i]+nsel[i]+(sel[i]-nsel[i])*(sel[i]-nsel[i])/Nproc[i])/(Nproc[i]*Nproc[i]);
|
511 |
resultwosigcont+=(sel[i]/Nproc[i])*xsi;
|
512 |
resultwosigconterr+=xsi*(sel[i]+(sel[i]*sel[i])/Nproc[i])/(Nproc[i]*Nproc[i]);
|
513 |
}
|
514 |
result=result/totalXS;
|
515 |
resulterr=TMath::Sqrt((1/totalXS)*resulterr);
|
516 |
resultwosigcont=resultwosigcont/totalXS;
|
517 |
resultwosigconterr=TMath::Sqrt((1/totalXS)*resultwosigconterr);
|
518 |
result_wo_signalcont=Value(resultwosigcont,resultwosigconterr);
|
519 |
} else {//no signal contamination considered:
|
520 |
result=0;
|
521 |
resulterr=0;
|
522 |
float totalXS=0;
|
523 |
for(int i=0;i<11;i++) {
|
524 |
float xsi=XSForProcessViaAddCutWrapper(addcut,xsec,i);
|
525 |
result+=((sel[i])/Nproc[i])*xsi;
|
526 |
totalXS+=xsi;
|
527 |
resulterr+=xsi*(sel[i]+(sel[i]*sel[i])/Nproc[i])/(Nproc[i]*Nproc[i]);
|
528 |
}
|
529 |
result=result/totalXS;
|
530 |
resulterr=TMath::Sqrt((1/totalXS)*resulterr);
|
531 |
result_wo_signalcont=Value(result,resulterr);
|
532 |
}
|
533 |
|
534 |
|
535 |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sum(sel) << " , signal contamination : " << sum(nsel) << " and nevents=" << sum(Nproc) << ") " << std::endl;
|
536 |
delete effh;
|
537 |
return result_wo_signalcont;
|
538 |
|
539 |
}
|
540 |
|
541 |
|
542 |
//____________________________________________________________________________________
|
543 |
// Total selection efficiency (MC)
|
544 |
//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
|
545 |
Value MCefficiency(TTree *events,float &result, float &resulterr, int flipped, string mcjzb,bool requireZ,int Neventsinfile, int scantype, map < pair<float, float>, map<string, float> > xsec, string addcut="", int k = 0) {
|
546 |
if(scantype==mSUGRA) {
|
547 |
write_warning(__FUNCTION__,"Need to check the efficiency algorithm for mSUGRA!");
|
548 |
//return mSUGRAefficiency(events,result,resulterr,flipped,mcjzb,requireZ,Neventsinfile,scantype,xsec,addcut,k);
|
549 |
}
|
550 |
if(!events) {
|
551 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
552 |
result=0;
|
553 |
resulterr=0;
|
554 |
return Value(0,0);
|
555 |
}
|
556 |
|
557 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
558 |
// All acceptance cuts at gen. level
|
559 |
TCut kbase(basiccut&&leptoncut);
|
560 |
|
561 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
562 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
563 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
564 |
// Corresponding reco. cuts
|
565 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
566 |
TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
567 |
TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
568 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
569 |
if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
|
570 |
ksel=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
571 |
ksel2=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
572 |
if(flipped>0) {
|
573 |
ksel=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
574 |
ksel2=TCut(cutnJets&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
575 |
}
|
576 |
} else {
|
577 |
//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
|
578 |
ksel=TCut(cutnJets&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
579 |
ksel2=TCut(cutnJets&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
580 |
if(flipped>0) {
|
581 |
ksel=TCut(cutnJets&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
582 |
ksel2=TCut(cutnJets&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
583 |
}
|
584 |
}
|
585 |
|
586 |
TCut posSide = kbase&&ksel;
|
587 |
TCut negSide = kbase&&ksel2;
|
588 |
string sposSide(posSide);
|
589 |
string snegSide(negSide);
|
590 |
char var[20];
|
591 |
sprintf(var, "pdfW[%d]", k);
|
592 |
if(k==-1) sprintf(var,"1.0");//case in which we don't want to evaluate PDFs
|
593 |
string svar(var);
|
594 |
string newPosSide = "((id1==id2)&&(" + sposSide + "))*" + svar;
|
595 |
string newNegSide = "((id1==id2)&&(" + snegSide + "))*" + svar;
|
596 |
string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))*" + svar; // only used for off peak analysis
|
597 |
string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))*" + svar; // only used for off peak analysis
|
598 |
|
599 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
600 |
|
601 |
events->Draw(("1>>effh"), cutWeight,"goff");
|
602 |
float averageweight=effh->Integral()/effh->GetEntries();
|
603 |
if(averageweight<=0) averageweight=1;
|
604 |
if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), TCut(newPosSide.c_str())*cutWeight*((string)"(1.0/"+any2string(averageweight)+")").c_str(),"goff");
|
605 |
else events->Draw((mcjzbexpression+">>effh").c_str(), TCut((sposSide+"&&(id1==id2)").c_str())*cutWeight*((string)"(1.0/"+any2string(averageweight)+")").c_str(),"goff");//the OSSF condition is added for the offpeak analysis, in onpeak case it's there already but doesn't change anything.
|
606 |
Float_t sel = effh->Integral();
|
607 |
Float_t nsel=0;
|
608 |
|
609 |
///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
|
610 |
|
611 |
if(ConsiderSignalContaminationForLimits) {
|
612 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
613 |
if(PlottingSetup::RestrictToMassPeak) {
|
614 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*cutWeight,"goff");
|
615 |
nsel += effh->Integral();
|
616 |
cout << __FUNCTION__ << " :: Drawn with " << (TCut(newNegSide.c_str()))*cutWeight << endl;
|
617 |
} else {
|
618 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*cutWeight,"goff");
|
619 |
|
620 |
nsel += effh->Integral();
|
621 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewPosSide.c_str()))*cutWeight,"goff");
|
622 |
nsel += effh->Integral();
|
623 |
events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewNegSide.c_str()))*cutWeight,"goff");
|
624 |
nsel -= effh->Integral();
|
625 |
}
|
626 |
}
|
627 |
|
628 |
//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.
|
629 |
float normFactor = 1;
|
630 |
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
631 |
sel = sel/normFactor;
|
632 |
nsel = nsel/normFactor;
|
633 |
|
634 |
Float_t tot = Neventsinfile;
|
635 |
|
636 |
Value result_wo_signalcont;
|
637 |
|
638 |
if(ConsiderSignalContaminationForLimits) {
|
639 |
result=(sel-nsel)/tot;
|
640 |
resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
|
641 |
result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
|
642 |
} else {//no signal contamination considered:
|
643 |
result=(sel)/tot;
|
644 |
resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
|
645 |
result_wo_signalcont=Value(result,resulterr);
|
646 |
}
|
647 |
if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
|
648 |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " raw MC events out of " << tot << ") raw MC events with PDF normalization factor " << normFactor << std::endl;
|
649 |
delete effh;
|
650 |
return result_wo_signalcont;
|
651 |
}
|
652 |
|
653 |
|
654 |
|
655 |
//____________________________________________________________________________________
|
656 |
// Selection efficiency for one process (MC)
|
657 |
// not in use anymore.
|
658 |
/*
|
659 |
vector<float> processMCefficiency(TTree *events,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
|
660 |
vector<float> process_efficiencies;
|
661 |
for(int iprocess=0;iprocess<=10;iprocess++) {
|
662 |
float this_process_efficiency,efferr;
|
663 |
stringstream addcutplus;
|
664 |
addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
|
665 |
MCefficiency(events,this_process_efficiency, efferr,flipped,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
|
666 |
process_efficiencies.push_back(this_process_efficiency);
|
667 |
}
|
668 |
return process_efficiencies;
|
669 |
}
|
670 |
*/
|
671 |
|
672 |
void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, int flipped, bool requireZ, string addcut="") {
|
673 |
TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
|
674 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
675 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
676 |
TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
|
677 |
Int_t bin = hLM4->FindBin(jzbSel); // To get the error
|
678 |
jzbeff=Interpolate(jzbSel,hLM4);
|
679 |
jzbefferr=hLM4->GetBinError(bin);
|
680 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
681 |
if(!automatized) dout << " " << jzbeff << "+-" << jzbefferr << std::endl;
|
682 |
}
|
683 |
|
684 |
//________________________________________________________________________
|
685 |
// Effect of energy scale on efficiency
|
686 |
void JZBjetScale(TTree *events, bool domSUGRA, map < pair<float, float>, map<string, float> > xsec, float &jesdown, float &jesup, string informalname, int flipped, bool requireZ,string addcut="",Float_t jzbSelection=-1, TString plotName = "" ) {
|
687 |
TCut kbase(genMassCut&&"genZPt>0");
|
688 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
689 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
690 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
691 |
|
692 |
TCut ksel(cutmass&&cutOSSF);
|
693 |
|
694 |
if ( !(plotName.Length()>1) ) plotName = informalname;
|
695 |
|
696 |
TCut susyweight("1.0");
|
697 |
if(domSUGRA) {
|
698 |
stringstream susyweightS;
|
699 |
float sumweights=0;
|
700 |
susyweightS << "((";
|
701 |
for(int i=0;i<11;i++) {
|
702 |
if(i==0) susyweightS << "(";
|
703 |
if(i>0) susyweightS << " + ";
|
704 |
susyweightS << "(process==" << i << ")*";
|
705 |
float thisxsec=XSForProcessViaAddCutWrapper(addcut,xsec,i);
|
706 |
susyweightS << thisxsec;
|
707 |
sumweights+=thisxsec;
|
708 |
if(i==10) susyweightS << ")";
|
709 |
}
|
710 |
susyweightS << ")/" << sumweights << ")";
|
711 |
susyweight=TCut(susyweightS.str().c_str());
|
712 |
}
|
713 |
|
714 |
nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
|
715 |
TH1F* hist = plotEff(events,((kbase&&ksel&&cutnJets)*susyweight),informalname,flipped);
|
716 |
TH1F* histp = plotEff(events,((kbase&&ksel&&cutnJetsJESup)*susyweight),informalname,flipped);
|
717 |
TH1F* histm = plotEff(events,((kbase&&ksel&&cutnJetsJESdown)*susyweight),informalname,flipped);
|
718 |
|
719 |
// Dump some information
|
720 |
Float_t eff = Interpolate(jzbSel,hist);
|
721 |
Float_t effp = Interpolate(jzbSel,histp);
|
722 |
Float_t effm = Interpolate(jzbSel,histm);
|
723 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
724 |
if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
|
725 |
if(!automatized) dout << " central: " << eff << std::endl;
|
726 |
if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
|
727 |
jesup=(effp-eff)/eff;
|
728 |
jesdown=(effm-eff)/eff;
|
729 |
if(eff==0) {
|
730 |
jesup=1;
|
731 |
jesdown=1;
|
732 |
}
|
733 |
}
|
734 |
|
735 |
//________________________________________________________________________
|
736 |
// Effect of energy scale on JZB efficiency
|
737 |
void doJZBscale(TTree *events, bool domSUGRA, map < pair<float, float>, map<string, float> > xsec, float &down, float &up, float &syst, float systematic, string informalname, int flipped, bool requireZ, string addcut) {
|
738 |
|
739 |
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
740 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
741 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
742 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
743 |
TCut ksel(cutmass&&cutOSSF);
|
744 |
|
745 |
nBins = 50;
|
746 |
jzbMin = 0.5*jzbSel;
|
747 |
jzbMax = 2.0*jzbSel;
|
748 |
|
749 |
TCut susyweight("1.0");
|
750 |
if(domSUGRA) {
|
751 |
stringstream susyweightS;
|
752 |
float sumweights=0;
|
753 |
susyweightS << "((";
|
754 |
for(int i=0;i<11;i++) {
|
755 |
if(i==0) susyweightS << "(";
|
756 |
if(i>0) susyweightS << " + ";
|
757 |
susyweightS << "(process==" << i << ")*";
|
758 |
float thisxsec=XSForProcessViaAddCutWrapper(addcut,xsec,i);
|
759 |
susyweightS << thisxsec;
|
760 |
sumweights+=thisxsec;
|
761 |
if(i==10) susyweightS << ")";
|
762 |
}
|
763 |
susyweightS << ")/" << sumweights << ")";
|
764 |
susyweight=TCut(susyweightS.str().c_str());
|
765 |
}
|
766 |
|
767 |
|
768 |
|
769 |
TH1F* hist = plotEff(events,((kbase&&ksel)*susyweight),informalname,flipped);
|
770 |
|
771 |
// Dump some information
|
772 |
Float_t eff = Interpolate(jzbSel,hist);
|
773 |
Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
|
774 |
Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
|
775 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
|
776 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
|
777 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
|
778 |
up=((effp-eff)/eff);
|
779 |
down=((effm-eff)/eff);
|
780 |
if(eff==0) {
|
781 |
up=1;
|
782 |
down=1;
|
783 |
}
|
784 |
}
|
785 |
|
786 |
//________________________________________________________________________
|
787 |
// JZB response (true/reco. vs. true)
|
788 |
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 ) {
|
789 |
|
790 |
jzbMin = 20;
|
791 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
792 |
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
793 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
794 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
795 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
796 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
797 |
TCut ksel(cutmass&&cutOSSF);
|
798 |
|
799 |
TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
|
800 |
|
801 |
string locmcjzbexpression=mcjzbexpression;
|
802 |
if(flipped>0) locmcjzbexpression="-"+locmcjzbexpression;
|
803 |
string possibleminus="";
|
804 |
if(flipped>0) possibleminus="-";
|
805 |
if (!isMET) events->Project("hJzbResp","("+TString(locmcjzbexpression)+")/("+possibleminus+"genJZB):("+possibleminus+"genJZB)",kbase&&ksel);
|
806 |
else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
|
807 |
|
808 |
hJzbResp->SetMaximum(1.2);
|
809 |
hJzbResp->SetMinimum(0.2);
|
810 |
hJzbResp->Fit("pol0","Q");
|
811 |
TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
|
812 |
if(!fittedfunction) {
|
813 |
// in case there are not enough points passing our selection
|
814 |
cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
|
815 |
resp=1;
|
816 |
resperr=1;
|
817 |
} else {
|
818 |
resp=fittedfunction->GetParameter(0);
|
819 |
resperr=fittedfunction->GetParError(0);
|
820 |
if(!automatized) dout << " Response: " << resp << " +/- " << resperr << endl;
|
821 |
}
|
822 |
delete hJzbResp;
|
823 |
}
|
824 |
|
825 |
|
826 |
//________________________________________________________________________________________
|
827 |
// PDF uncertainty
|
828 |
float get_pdf_uncertainty(TTree *events, int flipped, string mcjzb, bool requireZ, int Neventsinfile, int scantype, map < pair<float, float>, map<string, float> > xsec, int NPdfs, string addcut="") {
|
829 |
std::vector<float> efficiency;
|
830 |
for(int k = 1; k < NPdfs; k++) {
|
831 |
float result, resulterr;
|
832 |
Value flipval;
|
833 |
MCefficiency(events, result, resulterr, flipped, mcjzb, requireZ, Neventsinfile, scantype, xsec, addcut, k);
|
834 |
efficiency.push_back(result);
|
835 |
}
|
836 |
float errHi, errLow,err;
|
837 |
master_formula(efficiency, errHi, errLow);
|
838 |
err=errLow;
|
839 |
if(errHi>errLow) err=errHi;
|
840 |
if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
|
841 |
return err;
|
842 |
|
843 |
}
|
844 |
|
845 |
int get_npdfs(TTree *events) {
|
846 |
int NPDFs;
|
847 |
events->SetBranchAddress("NPdfs",&NPDFs);
|
848 |
events->GetEntry(1);
|
849 |
return NPDFs;
|
850 |
}
|
851 |
|
852 |
|
853 |
void do_systematics_for_one_file(TTree *events,int Neventsinfile,string informalname, vector<vector<float> > &results,int flipped, map < pair<float, float>, map<string, float> > xsec, string mcjzb,string datajzb,float peakerror,bool requireZ=false, string addcut="", bool isscan=false,int scantype=-1) {
|
854 |
float JZBScaleUncert=0.05; //if you modify this value please also adapt it in ShapeLimit.C not only here in Systematics.C
|
855 |
mcjzbexpression=mcjzb;
|
856 |
float triggereff=2.0/100;// in range [0,1]
|
857 |
dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
|
858 |
float leptonseleff=2.0/100;// in range [0,1]
|
859 |
leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
|
860 |
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
|
861 |
|
862 |
int NPdfs=0;
|
863 |
if(isscan) NPdfs = get_npdfs(events);
|
864 |
|
865 |
float mceff,mcefferr,jzbeff,jzbefferr;
|
866 |
if(!automatized) dout << "MC efficiencies:" << endl;
|
867 |
Value flipefficiency;
|
868 |
Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,flipped,mcjzb,requireZ,Neventsinfile,scantype,xsec,addcut,-1);
|
869 |
if(!automatized) cout << " Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
|
870 |
|
871 |
if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,flipped,requireZ,addcut);
|
872 |
if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
|
873 |
|
874 |
if(!automatized) dout << "Error from Peak position:";
|
875 |
float sysfrompeak=0;
|
876 |
PeakError(events,sysfrompeak,mcjzb,peakerror,flipped,addcut);
|
877 |
|
878 |
bool docomplicatedmSUGRAxsreweighting=false; //if you modify this value please also adapt it in ShapeLimit.C not only here in Systematics.C
|
879 |
|
880 |
if(!automatized) dout << "Jet energy scale (JES): " << std::endl;
|
881 |
float jesup,jesdown;
|
882 |
JZBjetScale(events,scantype==mSUGRA&&docomplicatedmSUGRAxsreweighting,xsec,jesdown,jesup,informalname,flipped,requireZ,addcut);
|
883 |
|
884 |
if(!automatized) dout << "JZB scale: " << std::endl;
|
885 |
float scaleup,scaledown,scalesyst;
|
886 |
doJZBscale(events,scantype==mSUGRA&&docomplicatedmSUGRAxsreweighting,xsec,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,flipped,requireZ,addcut);
|
887 |
|
888 |
if(!automatized) dout << "JZB response: " << std::endl;
|
889 |
float resp,resperr;
|
890 |
if(PlottingSetup::computeJZBresponse) {
|
891 |
if(!automatized) dout << "JZB response: " << std::endl;
|
892 |
if(!isscan) JZBresponse(events,informalname,requireZ,resp,resperr,flipped,addcut);
|
893 |
}
|
894 |
|
895 |
if(!automatized) dout << "Pileup: " << std::endl;
|
896 |
// float resolution;
|
897 |
//resolution=pileup(events,requireZ,informalname,flipped,addcut);
|
898 |
|
899 |
float PDFuncert=0;
|
900 |
if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
|
901 |
if(isscan&&scantype!=mSUGRA) PDFuncert = get_pdf_uncertainty(events, flipped, mcjzb, requireZ, Neventsinfile, scantype, xsec, NPdfs, addcut);//for mSUGRA this is done differently!
|
902 |
|
903 |
dout << "_______________________________________________" << endl;
|
904 |
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) ";
|
905 |
if(addcut!="") dout << "With additional cut: " << addcut;
|
906 |
dout << endl;
|
907 |
dout << "MC efficiency: " << mceff << "+/-" << mcefferr << endl; // in range [0,1]
|
908 |
dout << "Trigger efficiency: " << triggereff << endl; // in range [0,1]
|
909 |
dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
|
910 |
dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
|
911 |
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
|
912 |
// dout << "Resolution : " << resolution << endl; // in range [0,1]
|
913 |
dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
|
914 |
if(isscan) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1]
|
915 |
if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
|
916 |
if(PlottingSetup::computeJZBresponse)dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
|
917 |
|
918 |
float toterr=0;
|
919 |
toterr+=(triggereff)*(triggereff);
|
920 |
toterr+=(leptonseleff)*(leptonseleff);
|
921 |
if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
|
922 |
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
|
923 |
// toterr+=(resolution*resolution);
|
924 |
toterr+=(sysfrompeak*sysfrompeak);
|
925 |
if(isscan) toterr+=(PDFuncert*PDFuncert);
|
926 |
toterr=TMath::Sqrt(toterr);
|
927 |
dout << "TOTAL SYSTEMATICS: " << toterr << " --> " << toterr*mceff << endl;
|
928 |
float systerr=toterr*mceff;
|
929 |
toterr=TMath::Sqrt(toterr*toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err!
|
930 |
|
931 |
dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst) %" << endl;
|
932 |
dout << " we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
|
933 |
dout << "_______________________________________________" << endl;
|
934 |
|
935 |
//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
|
936 |
vector<float> res;
|
937 |
res.push_back(jzbSel);
|
938 |
res.push_back(mceff);
|
939 |
res.push_back(mcefferr);
|
940 |
res.push_back(systerr);
|
941 |
res.push_back(toterr);
|
942 |
if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
|
943 |
if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
|
944 |
// res.push_back(fabs(resolution));
|
945 |
res.push_back(0.0);
|
946 |
res.push_back(mceff_nosigcont.getValue());
|
947 |
res.push_back(mceff_nosigcont.getError());
|
948 |
if(isscan) res.push_back(PDFuncert);
|
949 |
results.push_back(res);
|
950 |
}
|
951 |
|
952 |
vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, int flipped, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
|
953 |
automatized=true;
|
954 |
vector< vector<float> > systematics;
|
955 |
map < pair<float, float>, map<string, float> > xsec; // only needed for mSUGRA, and in that case this funciton isn't called
|
956 |
|
957 |
for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
|
958 |
dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
959 |
for(int ibin=0;ibin<(int)bins.size();ibin++) {
|
960 |
jzbSel=bins[ibin];
|
961 |
geqleq="geq";
|
962 |
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,flipped,xsec,mcjzb,datajzb,mcpeakerror,requireZ);
|
963 |
}//end of bin loop
|
964 |
}//end of signal loop
|
965 |
return systematics;
|
966 |
}
|