| 1 |
buchmann |
1.1 |
#include <iostream>
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| 2 |
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#include <vector>
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#include <sys/stat.h>
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| 4 |
buchmann |
1.31 |
#include <algorithm>
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#include <cmath>
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| 6 |
buchmann |
1.1 |
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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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| 30 |
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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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| 38 |
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int verbose=0;
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| 39 |
buchmann |
1.2 |
string geqleq;
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string mcjzbexpression;
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buchmann |
1.4 |
bool automatized=false;//if we're running this fully automatized we don't want each function to flood the screen
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| 42 |
buchmann |
1.2 |
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TString geq_or_leq() {
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if(geqleq=="geq") return TString(">=");
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if(geqleq=="leq") return TString("<=");
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return TString("GEQ_OR_LEQ_ERROR");
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}
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| 48 |
buchmann |
1.1 |
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| 49 |
buchmann |
1.6 |
TString ngeq_or_leq() {
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if(geqleq=="geq") return TString("<=");
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if(geqleq=="leq") return TString(">=");
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return TString("NGEQ_OR_LEQ_ERROR");
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}
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buchmann |
1.1 |
//______________________________________________________________________________
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Double_t Interpolate(Double_t x, TH1 *histo)
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{
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// Given a point x, approximates the value via linear interpolation
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// based on the two nearest bin centers
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// Andy Mastbaum 10/21/08
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// in newer ROOT versions but not in the one I have so I had to work around that ...
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Int_t xbin = histo->FindBin(x);
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Double_t x0,x1,y0,y1;
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| 66 |
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if(x<=histo->GetBinCenter(1)) {
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return histo->GetBinContent(1);
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} else if(x>=histo->GetBinCenter(histo->GetNbinsX())) {
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return histo->GetBinContent(histo->GetNbinsX());
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} else {
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if(x<=histo->GetBinCenter(xbin)) {
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y0 = histo->GetBinContent(xbin-1);
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x0 = histo->GetBinCenter(xbin-1);
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y1 = histo->GetBinContent(xbin);
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x1 = histo->GetBinCenter(xbin);
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} else {
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y0 = histo->GetBinContent(xbin);
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x0 = histo->GetBinCenter(xbin);
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y1 = histo->GetBinContent(xbin+1);
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x1 = histo->GetBinCenter(xbin+1);
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}
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return y0 + (x-x0)*((y1-y0)/(x1-x0));
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}
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}
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buchmann |
1.7 |
//____________________________________________________________________________________
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// Plotting with all contributions, i.e. sidebands, peak, osof,ossf ... (for a systematic)
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float allcontributionsplot(TTree* events, TCut kBaseCut, TCut kMassCut, TCut kSidebandCut, TCut JZBPosCut, TCut JZBNegCut) {
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iplot++;
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int count=iplot;
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// Define new histogram
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string hname=GetNumericHistoName();
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TH1F* hossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSSF,"goff");
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hname=GetNumericHistoName();
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TH1F* hossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSSF,"goff");
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| 98 |
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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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| 105 |
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| 106 |
buchmann |
1.42 |
float obs=0;
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float pred=0;
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| 108 |
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flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
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if(PlottingSetup::RestrictToMassPeak) {
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hname=GetNumericHistoName();
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TH1F* sbhossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
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events->Draw(TString(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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| 120 |
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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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| 123 |
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| 124 |
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obs = hossfp->Integral();
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| 125 |
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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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| 126 |
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delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
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| 127 |
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} else {
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| 128 |
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obs = hossfp->Integral();
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| 129 |
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pred= hossfn->Integral() + (hosofp->Integral() - hosofn->Integral());
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| 130 |
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}
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| 131 |
buchmann |
1.7 |
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| 132 |
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delete hossfp,hossfn,hosofp,hosofn;
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| 133 |
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return obs-pred;
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| 134 |
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}
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| 135 |
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| 136 |
buchmann |
1.1 |
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| 137 |
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//____________________________________________________________________________________
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| 138 |
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// Efficiency plot
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| 139 |
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TH1F* plotEff(TTree* events, TCut kbase, TString informalname) {
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| 140 |
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iplot++;
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| 141 |
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int count=iplot;
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| 142 |
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// Define new histogram
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| 143 |
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char hname[30]; sprintf(hname,"hJzbEff%d",count);
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| 144 |
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TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB (GeV/c); Efficiency",
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| 145 |
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nBins,jzbMin,jzbMax);
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| 146 |
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Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
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| 147 |
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| 148 |
buchmann |
1.6 |
events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
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| 149 |
buchmann |
1.1 |
Float_t maxEff = events->GetSelectedRows();
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| 150 |
buchmann |
1.5 |
if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff << std::endl;
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| 151 |
buchmann |
1.1 |
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| 152 |
buchmann |
1.5 |
if(verbose>0) dout << "JZB max = " << jzbMax << std::endl;
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| 153 |
buchmann |
1.1 |
// Loop over steps to get efficiency curve
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| 154 |
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char cut[256];
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| 155 |
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for ( Int_t iBin = 0; iBin<nBins; ++iBin ) {
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| 156 |
buchmann |
1.6 |
sprintf(cut,"genJZB>%3f",jzbMin+iBin*step);
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| 157 |
buchmann |
1.2 |
events->Draw(mcjzbexpression.c_str(),TCut(cut)&&kbase,"goff");
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| 158 |
buchmann |
1.1 |
Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
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| 159 |
buchmann |
1.5 |
// dout << "COUCOU " << __LINE__ << std::endl;
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| 160 |
buchmann |
1.1 |
hJzbEff->SetBinContent(iBin+1,eff);
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| 161 |
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hJzbEff->SetBinError(iBin+1,TMath::Sqrt(eff*(1-eff)/maxEff));
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| 162 |
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}
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| 163 |
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return hJzbEff;
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| 164 |
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| 165 |
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| 166 |
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}
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| 167 |
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| 168 |
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| 169 |
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//________________________________________________________________________________________
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| 170 |
pablom |
1.23 |
// Master Formula
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| 171 |
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void master_formula(std::vector<float> eff, float &errHi, float &errLo) {
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| 172 |
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| 173 |
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float x0 = eff[0];
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| 174 |
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float deltaPos = 0, deltaNeg = 0;
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| 175 |
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for(int k = 0; k < (eff.size()-1)/2; k++) {
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| 176 |
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float xneg = eff[2*k+2];
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| 177 |
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float xpos = eff[2*k+1];
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| 178 |
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if(xpos-x0>0 || xneg-x0>0) {
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| 179 |
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if(xpos-x0 > xneg-x0) {
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| 180 |
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deltaPos += (xpos-x0)*(xpos-x0);
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| 181 |
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} else {
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| 182 |
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deltaPos += (xneg-x0)*(xneg-x0);
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| 183 |
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}
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| 184 |
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}
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| 185 |
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if(x0-xpos>0 || x0-xneg>0) {
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| 186 |
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if(x0-xpos > x0-xneg) {
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| 187 |
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deltaNeg += (xpos-x0)*(xpos-x0);
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| 188 |
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} else {
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| 189 |
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deltaNeg += (xneg-x0)*(xneg-x0);
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| 190 |
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}
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| 191 |
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}
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| 192 |
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}
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| 193 |
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errHi = sqrt(deltaPos);
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| 194 |
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errLo = sqrt(deltaNeg);
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| 195 |
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| 196 |
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}
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| 197 |
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| 198 |
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| 199 |
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//________________________________________________________________________________________
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| 200 |
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// Get normalization factor for the PDFs
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| 201 |
buchmann |
1.42 |
float get_norm_pdf_factor(TTree *events, int k, string addcut) {
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| 202 |
pablom |
1.23 |
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| 203 |
buchmann |
1.25 |
TH1F *haux = new TH1F("haux", "", 10000, 0, 5);
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| 204 |
pablom |
1.23 |
char nameVar[20];
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| 205 |
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sprintf(nameVar, "pdfW[%d]", k);
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| 206 |
buchmann |
1.42 |
events->Project("haux", nameVar, addcut.c_str());
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| 207 |
buchmann |
1.24 |
float thisW = haux->Integral();
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| 208 |
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events->Project("haux", "pdfW[0]");
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| 209 |
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float normW = haux->Integral();
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| 210 |
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| 211 |
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float factor=thisW/normW;
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| 212 |
pablom |
1.23 |
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| 213 |
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delete haux;
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| 214 |
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| 215 |
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return factor;
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| 216 |
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| 217 |
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}
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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//________________________________________________________________________________________
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| 222 |
buchmann |
1.1 |
// Pile-up efficiency
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| 223 |
buchmann |
1.10 |
float pileup(TTree *events, bool requireZ, string informalname, string addcut="",Float_t myJzbMax = 140. ) {
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| 224 |
buchmann |
1.1 |
nBins = 16;
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| 225 |
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jzbMax = myJzbMax;
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| 226 |
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| 227 |
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// Acceptance cuts
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| 228 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
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| 229 |
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TCut kbase(PlottingSetup::genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
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| 230 |
buchmann |
1.10 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
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| 231 |
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| 232 |
buchmann |
1.42 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
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| 233 |
buchmann |
1.1 |
TH1F* hLM4 = plotEff(events,kbase,informalname);
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| 234 |
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hLM4->SetMinimum(0.);
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| 235 |
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| 236 |
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// Nominal function
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| 237 |
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TF1* func = new TF1("func","0.5*TMath::Erfc([0]*x-[1])",jzbMin,jzbMax);
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| 238 |
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func->SetParameter(0,0.03);
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| 239 |
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func->SetParameter(1,0.);
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| 240 |
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hLM4->Fit(func,"Q");
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| 241 |
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| 242 |
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// Pimped-up function
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| 243 |
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TF1* funcUp = (TF1*)func->Clone();
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| 244 |
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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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| 245 |
buchmann |
1.5 |
if(!automatized) dout << " PU: " << funcUp->Eval(jzbSel) << " " << func->Eval(jzbSel)
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| 246 |
buchmann |
1.1 |
<< "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
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| 247 |
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| 248 |
buchmann |
1.18 |
return (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel);
|
| 249 |
buchmann |
1.1 |
|
| 250 |
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}
|
| 251 |
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| 252 |
|
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//____________________________________________________________________________________
|
| 253 |
buchmann |
1.6 |
// Effect of peak shifting
|
| 254 |
buchmann |
1.10 |
void PeakError(TTree *events,float &result, string mcjzb, float peakerr,string addcut="") {
|
| 255 |
buchmann |
1.42 |
//Note: the cut used here is something like (JZBEXPRESSION+(peakerr)>50) without all the other cuts, to increase statistics (particularly for scans)
|
| 256 |
buchmann |
1.6 |
TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 257 |
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TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
|
| 258 |
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TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
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| 259 |
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TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 260 |
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TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
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| 261 |
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TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
|
| 262 |
|
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nBins = 1;
|
| 263 |
|
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string informalname="PeakErrorCalculation";
|
| 264 |
|
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float resup,resdown,rescent;
|
| 265 |
|
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for(int i=0;i<3;i++) {
|
| 266 |
|
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string poscut,negcut;
|
| 267 |
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if(i==0) {
|
| 268 |
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poscut=peakcentral;
|
| 269 |
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negcut=npeakcentral;
|
| 270 |
|
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} else if(i==1) {
|
| 271 |
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poscut=peakdown;
|
| 272 |
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negcut=npeakdown;
|
| 273 |
|
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} else if(i==2) {
|
| 274 |
|
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poscut=peakup;
|
| 275 |
|
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negcut=npeakup;
|
| 276 |
|
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}
|
| 277 |
buchmann |
1.10 |
float res;
|
| 278 |
|
|
if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
|
| 279 |
|
|
else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
|
| 280 |
buchmann |
1.7 |
if(i==0) rescent=res;
|
| 281 |
|
|
else if(i==1) resdown=res;
|
| 282 |
|
|
else if(i==2) resup=res;
|
| 283 |
buchmann |
1.6 |
}
|
| 284 |
buchmann |
1.41 |
if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/(float)rescent);
|
| 285 |
|
|
else result=(TMath::Abs(rescent-resdown)/(float)rescent);
|
| 286 |
buchmann |
1.6 |
}
|
| 287 |
|
|
|
| 288 |
pablom |
1.43 |
|
| 289 |
|
|
void MCPartialefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0, int type = 0) {
|
| 290 |
|
|
if(!events) {
|
| 291 |
|
|
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
| 292 |
|
|
result=0;resulterr=0;
|
| 293 |
|
|
return;
|
| 294 |
|
|
}
|
| 295 |
|
|
|
| 296 |
|
|
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
| 297 |
|
|
// All acceptance cuts at gen. level
|
| 298 |
|
|
//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
|
| 299 |
|
|
TCut kbase("");
|
| 300 |
|
|
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 301 |
|
|
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 302 |
|
|
// Corresponding reco. cuts
|
| 303 |
|
|
|
| 304 |
|
|
TCut acceptance("genPt2 != 0");
|
| 305 |
|
|
TCut massId(cutmass&&cutOSSF);
|
| 306 |
|
|
TCut njets(cutnJets);
|
| 307 |
|
|
TCut jzbp(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 308 |
|
|
TCut jzbn(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 309 |
|
|
dout << jzbp << endl;
|
| 310 |
|
|
dout << jzbn << endl;
|
| 311 |
|
|
|
| 312 |
|
|
float ntotal = events->Draw("pt1", kbase, "goff");
|
| 313 |
|
|
TCut theCut;
|
| 314 |
|
|
switch(type) {
|
| 315 |
|
|
case 1:
|
| 316 |
|
|
theCut = kbase+acceptance;
|
| 317 |
|
|
break;
|
| 318 |
|
|
case 2:
|
| 319 |
|
|
theCut = kbase+massId;
|
| 320 |
|
|
break;
|
| 321 |
|
|
case 3:
|
| 322 |
|
|
theCut = kbase+massId+njets;
|
| 323 |
|
|
break;
|
| 324 |
|
|
case 4:
|
| 325 |
|
|
theCut = kbase+massId+njets+jzbn;
|
| 326 |
|
|
break;
|
| 327 |
|
|
default:
|
| 328 |
|
|
theCut = kbase+massId+njets+jzbn;
|
| 329 |
|
|
break;
|
| 330 |
|
|
}
|
| 331 |
|
|
|
| 332 |
|
|
string stheCut(theCut);
|
| 333 |
|
|
char var[20];
|
| 334 |
|
|
sprintf(var, "pdfW[%d]", k);
|
| 335 |
|
|
|
| 336 |
|
|
string svar(var);
|
| 337 |
|
|
string newtheCut;
|
| 338 |
|
|
if(k>0) newtheCut = "(" + stheCut + ")*" + svar;
|
| 339 |
|
|
else newtheCut = "(" + stheCut + ")"; // for k==0 or even k==-1 we don't need to evaluate PDFs
|
| 340 |
|
|
|
| 341 |
|
|
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
| 342 |
|
|
if(k>=0) events->Draw((mcjzbexpression+">>effh").c_str(), newtheCut.c_str(),"goff");
|
| 343 |
|
|
else events->Draw((mcjzbexpression+">>effh").c_str(), theCut,"goff");
|
| 344 |
|
|
Float_t sel = effh->Integral();
|
| 345 |
|
|
Float_t nsel=0;
|
| 346 |
|
|
//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.
|
| 347 |
|
|
float normFactor = 1;
|
| 348 |
|
|
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
| 349 |
|
|
sel = sel/normFactor;
|
| 350 |
|
|
|
| 351 |
|
|
result=(sel)/ntotal;
|
| 352 |
|
|
resulterr=TMath::Sqrt(sel/ntotal*(1+sel/ntotal)/ntotal);
|
| 353 |
|
|
|
| 354 |
|
|
}
|
| 355 |
|
|
|
| 356 |
buchmann |
1.6 |
//____________________________________________________________________________________
|
| 357 |
buchmann |
1.1 |
// Total selection efficiency (MC)
|
| 358 |
buchmann |
1.33 |
//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
|
| 359 |
|
|
Value MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
|
| 360 |
pablom |
1.43 |
if(k>1) write_warning(__FUNCTION__,"Setting automatized to off!"); automatized=false; // only do this once when computing pdf uncertainties
|
| 361 |
buchmann |
1.40 |
if(!events) {
|
| 362 |
buchmann |
1.42 |
write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
|
| 363 |
|
|
result=0;
|
| 364 |
|
|
resulterr=0;
|
| 365 |
|
|
return Value(0,0);
|
| 366 |
buchmann |
1.40 |
}
|
| 367 |
buchmann |
1.42 |
|
| 368 |
buchmann |
1.1 |
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
|
| 369 |
|
|
// All acceptance cuts at gen. level
|
| 370 |
buchmann |
1.14 |
//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
|
| 371 |
|
|
TCut kbase("");
|
| 372 |
buchmann |
1.42 |
|
| 373 |
|
|
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 374 |
|
|
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 375 |
buchmann |
1.9 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 376 |
buchmann |
1.1 |
// Corresponding reco. cuts
|
| 377 |
buchmann |
1.42 |
|
| 378 |
|
|
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 379 |
|
|
TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 380 |
|
|
TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 381 |
|
|
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 382 |
|
|
if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
|
| 383 |
|
|
ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
|
| 384 |
|
|
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
|
| 385 |
|
|
} else {
|
| 386 |
|
|
//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
|
| 387 |
|
|
ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
|
| 388 |
|
|
ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
|
| 389 |
|
|
}
|
| 390 |
|
|
|
| 391 |
pablom |
1.23 |
TCut posSide = kbase&&ksel;
|
| 392 |
|
|
TCut negSide = kbase&&ksel2;
|
| 393 |
|
|
string sposSide(posSide);
|
| 394 |
|
|
string snegSide(negSide);
|
| 395 |
|
|
char var[20];
|
| 396 |
|
|
sprintf(var, "pdfW[%d]", k);
|
| 397 |
buchmann |
1.42 |
if(k==-1) sprintf(var,"1.0");//case in which we don't want to evaluate PDFs
|
| 398 |
pablom |
1.23 |
string svar(var);
|
| 399 |
buchmann |
1.42 |
string newPosSide = "((id1==id2)&&(" + sposSide + "))*" + svar;
|
| 400 |
|
|
string newNegSide = "((id1==id2)&&(" + snegSide + "))*" + svar;
|
| 401 |
|
|
string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))*" + svar; // only used for off peak analysis
|
| 402 |
|
|
string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))*" + svar; // only used for off peak analysis
|
| 403 |
pablom |
1.23 |
|
| 404 |
buchmann |
1.24 |
TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
|
| 405 |
buchmann |
1.37 |
if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newPosSide.c_str(),"goff");
|
| 406 |
buchmann |
1.42 |
else events->Draw((mcjzbexpression+">>effh").c_str(), (sposSide+"&&(id1==id2)").c_str(),"goff");//the OSSF condition is added for the offpeak analysis, in onpeak case it's there already but doesn't change anything.
|
| 407 |
buchmann |
1.24 |
Float_t sel = effh->Integral();
|
| 408 |
buchmann |
1.21 |
Float_t nsel=0;
|
| 409 |
buchmann |
1.42 |
|
| 410 |
|
|
///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
|
| 411 |
|
|
|
| 412 |
buchmann |
1.21 |
if(ConsiderSignalContaminationForLimits) {
|
| 413 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 414 |
|
|
if(PlottingSetup::RestrictToMassPeak) {
|
| 415 |
|
|
events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
|
| 416 |
|
|
nsel += effh->Integral();
|
| 417 |
|
|
} else {
|
| 418 |
|
|
events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
|
| 419 |
|
|
nsel += effh->Integral();
|
| 420 |
|
|
events->Draw((mcjzbexpression+">>effh").c_str(), emnewPosSide.c_str(),"goff");
|
| 421 |
|
|
nsel += effh->Integral();
|
| 422 |
|
|
events->Draw((mcjzbexpression+">>effh").c_str(), emnewNegSide.c_str(),"goff");
|
| 423 |
|
|
nsel -= effh->Integral();
|
| 424 |
|
|
}
|
| 425 |
buchmann |
1.21 |
}
|
| 426 |
buchmann |
1.42 |
|
| 427 |
pablom |
1.23 |
//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.
|
| 428 |
buchmann |
1.26 |
float normFactor = 1;
|
| 429 |
buchmann |
1.42 |
if(k>=0) get_norm_pdf_factor(events, k, addcut);
|
| 430 |
pablom |
1.23 |
sel = sel/normFactor;
|
| 431 |
|
|
nsel = nsel/normFactor;
|
| 432 |
|
|
|
| 433 |
buchmann |
1.13 |
// events->Draw(mcjzbexpression.c_str(),kbase,"goff");
|
| 434 |
|
|
// Float_t tot = events->GetSelectedRows();
|
| 435 |
|
|
Float_t tot = Neventsinfile;
|
| 436 |
buchmann |
1.1 |
|
| 437 |
buchmann |
1.33 |
Value result_wo_signalcont;
|
| 438 |
|
|
|
| 439 |
buchmann |
1.21 |
if(ConsiderSignalContaminationForLimits) {
|
| 440 |
|
|
result=(sel-nsel)/tot;
|
| 441 |
|
|
resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
|
| 442 |
buchmann |
1.33 |
result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
|
| 443 |
buchmann |
1.21 |
} else {//no signal contamination considered:
|
| 444 |
|
|
result=(sel)/tot;
|
| 445 |
|
|
resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
|
| 446 |
buchmann |
1.33 |
result_wo_signalcont=Value(result,resulterr);
|
| 447 |
buchmann |
1.21 |
}
|
| 448 |
pablom |
1.43 |
if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
|
| 449 |
buchmann |
1.42 |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
|
| 450 |
buchmann |
1.24 |
delete effh;
|
| 451 |
buchmann |
1.34 |
return result_wo_signalcont;
|
| 452 |
buchmann |
1.1 |
}
|
| 453 |
|
|
|
| 454 |
buchmann |
1.29 |
|
| 455 |
buchmann |
1.42 |
|
| 456 |
buchmann |
1.29 |
//____________________________________________________________________________________
|
| 457 |
buchmann |
1.30 |
// Selection efficiency for one process (MC)
|
| 458 |
buchmann |
1.29 |
vector<float> processMCefficiency(TTree *events,string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
|
| 459 |
|
|
vector<float> process_efficiencies;
|
| 460 |
|
|
for(int iprocess=0;iprocess<=10;iprocess++) {
|
| 461 |
|
|
float this_process_efficiency,efferr;
|
| 462 |
|
|
stringstream addcutplus;
|
| 463 |
|
|
addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
|
| 464 |
|
|
MCefficiency(events,this_process_efficiency, efferr,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
|
| 465 |
|
|
process_efficiencies.push_back(this_process_efficiency);
|
| 466 |
|
|
}
|
| 467 |
|
|
return process_efficiencies;
|
| 468 |
|
|
}
|
| 469 |
|
|
|
| 470 |
|
|
|
| 471 |
buchmann |
1.10 |
void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
|
| 472 |
buchmann |
1.42 |
TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
|
| 473 |
buchmann |
1.10 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 474 |
buchmann |
1.42 |
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 475 |
buchmann |
1.1 |
TH1F* hLM4 = plotEff(events,kbase,informalname);
|
| 476 |
|
|
Int_t bin = hLM4->FindBin(jzbSel); // To get the error
|
| 477 |
buchmann |
1.8 |
jzbeff=Interpolate(jzbSel,hLM4);
|
| 478 |
|
|
jzbefferr=hLM4->GetBinError(bin);
|
| 479 |
buchmann |
1.5 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
| 480 |
buchmann |
1.8 |
if(!automatized) dout << " " << jzbeff << "+-" << jzbefferr << std::endl;
|
| 481 |
buchmann |
1.1 |
}
|
| 482 |
|
|
|
| 483 |
|
|
//________________________________________________________________________
|
| 484 |
|
|
// Effect of energy scale on efficiency
|
| 485 |
buchmann |
1.10 |
void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
|
| 486 |
buchmann |
1.42 |
TCut kbase(genMassCut&&"genZPt>0");
|
| 487 |
buchmann |
1.10 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 488 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 489 |
|
|
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 490 |
buchmann |
1.8 |
|
| 491 |
buchmann |
1.42 |
TCut ksel(cutmass&&cutOSSF);
|
| 492 |
buchmann |
1.1 |
TCut nJets("pfJetGoodNum>2");
|
| 493 |
|
|
stringstream down,up;
|
| 494 |
|
|
down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
|
| 495 |
|
|
up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
|
| 496 |
|
|
|
| 497 |
|
|
TCut nJetsP(up.str().c_str());
|
| 498 |
|
|
TCut nJetsM(down.str().c_str());
|
| 499 |
|
|
|
| 500 |
|
|
if ( !(plotName.Length()>1) ) plotName = informalname;
|
| 501 |
|
|
|
| 502 |
|
|
nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
|
| 503 |
|
|
TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
|
| 504 |
|
|
|
| 505 |
|
|
TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
|
| 506 |
|
|
|
| 507 |
|
|
TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
|
| 508 |
|
|
|
| 509 |
|
|
// Dump some information
|
| 510 |
|
|
Float_t eff = Interpolate(jzbSel,hist);
|
| 511 |
|
|
Float_t effp = Interpolate(jzbSel,histp);
|
| 512 |
|
|
Float_t effm = Interpolate(jzbSel,histm);
|
| 513 |
buchmann |
1.5 |
if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
|
| 514 |
|
|
if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
|
| 515 |
|
|
if(!automatized) dout << " central: " << eff << std::endl;
|
| 516 |
|
|
if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
|
| 517 |
buchmann |
1.18 |
jesup=(effp-eff)/eff;
|
| 518 |
|
|
jesdown=(effm-eff)/eff;
|
| 519 |
buchmann |
1.1 |
}
|
| 520 |
|
|
|
| 521 |
|
|
//________________________________________________________________________
|
| 522 |
|
|
// Effect of energy scale on JZB efficiency
|
| 523 |
buchmann |
1.10 |
void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
|
| 524 |
buchmann |
1.1 |
|
| 525 |
buchmann |
1.42 |
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
| 526 |
buchmann |
1.10 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 527 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
|
| 528 |
|
|
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 529 |
|
|
TCut ksel(cutmass&&cutOSSF);
|
| 530 |
buchmann |
1.1 |
|
| 531 |
|
|
nBins = 50;
|
| 532 |
|
|
jzbMin = 0.5*jzbSel;
|
| 533 |
|
|
jzbMax = 2.0*jzbSel;
|
| 534 |
|
|
|
| 535 |
|
|
TH1F* hist = plotEff(events,kbase&&ksel,informalname);
|
| 536 |
|
|
|
| 537 |
|
|
// Dump some information
|
| 538 |
|
|
Float_t eff = Interpolate(jzbSel,hist);
|
| 539 |
|
|
Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
|
| 540 |
|
|
Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
|
| 541 |
buchmann |
1.33 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
|
| 542 |
buchmann |
1.5 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
|
| 543 |
buchmann |
1.33 |
if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
|
| 544 |
buchmann |
1.18 |
up=((effp-eff)/eff);
|
| 545 |
|
|
down=((effm-eff)/eff);
|
| 546 |
buchmann |
1.1 |
}
|
| 547 |
|
|
|
| 548 |
|
|
//________________________________________________________________________
|
| 549 |
|
|
// JZB response (true/reco. vs. true)
|
| 550 |
buchmann |
1.10 |
void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
|
| 551 |
buchmann |
1.1 |
|
| 552 |
|
|
jzbMin = 20;
|
| 553 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 554 |
|
|
TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
|
| 555 |
buchmann |
1.10 |
if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
|
| 556 |
buchmann |
1.42 |
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 557 |
|
|
if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
|
| 558 |
|
|
flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
|
| 559 |
|
|
TCut ksel(cutmass&&cutOSSF);
|
| 560 |
buchmann |
1.1 |
|
| 561 |
buchmann |
1.8 |
TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
|
| 562 |
buchmann |
1.1 |
|
| 563 |
buchmann |
1.6 |
if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
|
| 564 |
buchmann |
1.1 |
else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
|
| 565 |
|
|
|
| 566 |
|
|
hJzbResp->SetMaximum(1.2);
|
| 567 |
|
|
hJzbResp->SetMinimum(0.2);
|
| 568 |
|
|
hJzbResp->Fit("pol0","Q");
|
| 569 |
|
|
TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
|
| 570 |
buchmann |
1.32 |
if(!fittedfunction) {
|
| 571 |
|
|
// in case there are not enough points passing our selection
|
| 572 |
|
|
cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
|
| 573 |
|
|
resp=1;
|
| 574 |
|
|
resperr=1;
|
| 575 |
|
|
} else {
|
| 576 |
|
|
resp=fittedfunction->GetParameter(0);
|
| 577 |
|
|
resperr=fittedfunction->GetParError(0);
|
| 578 |
|
|
if(!automatized) dout << " Response: " << resp << " +/- " << resperr << endl;
|
| 579 |
|
|
}
|
| 580 |
buchmann |
1.5 |
delete hJzbResp;
|
| 581 |
buchmann |
1.1 |
}
|
| 582 |
|
|
|
| 583 |
|
|
|
| 584 |
pablom |
1.23 |
//________________________________________________________________________________________
|
| 585 |
|
|
// PDF uncertainty
|
| 586 |
buchmann |
1.24 |
float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
|
| 587 |
pablom |
1.23 |
std::vector<float> efficiency;
|
| 588 |
buchmann |
1.24 |
for(int k = 1; k < NPdfs; k++) {
|
| 589 |
pablom |
1.23 |
float result, resulterr;
|
| 590 |
|
|
MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
|
| 591 |
|
|
efficiency.push_back(result);
|
| 592 |
|
|
}
|
| 593 |
buchmann |
1.24 |
float errHi, errLow,err;
|
| 594 |
pablom |
1.23 |
master_formula(efficiency, errHi, errLow);
|
| 595 |
buchmann |
1.24 |
err=errLow;
|
| 596 |
|
|
if(errHi>errLow) err=errHi;
|
| 597 |
|
|
if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
|
| 598 |
|
|
return err;
|
| 599 |
pablom |
1.23 |
|
| 600 |
|
|
}
|
| 601 |
|
|
|
| 602 |
buchmann |
1.24 |
int get_npdfs(TTree *events) {
|
| 603 |
|
|
int NPDFs;
|
| 604 |
|
|
events->SetBranchAddress("NPdfs",&NPDFs);
|
| 605 |
|
|
events->GetEntry(1);
|
| 606 |
|
|
return NPDFs;
|
| 607 |
|
|
}
|
| 608 |
|
|
|
| 609 |
pablom |
1.23 |
|
| 610 |
buchmann |
1.22 |
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) {
|
| 611 |
buchmann |
1.1 |
float JetEnergyScaleUncert=0.1;
|
| 612 |
|
|
float JZBScaleUncert=0.1;
|
| 613 |
buchmann |
1.2 |
mcjzbexpression=mcjzb;
|
| 614 |
buchmann |
1.28 |
float triggereff=5.0/100;// in range [0,1]
|
| 615 |
buchmann |
1.5 |
dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
|
| 616 |
buchmann |
1.18 |
float leptonseleff=2.0/100;// in range [0,1]
|
| 617 |
buchmann |
1.32 |
leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
|
| 618 |
buchmann |
1.5 |
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
|
| 619 |
buchmann |
1.1 |
|
| 620 |
buchmann |
1.27 |
int NPdfs=0;
|
| 621 |
|
|
if(ismSUGRA) NPdfs = get_npdfs(events);
|
| 622 |
buchmann |
1.29 |
|
| 623 |
buchmann |
1.8 |
float mceff,mcefferr,jzbeff,jzbefferr;
|
| 624 |
buchmann |
1.5 |
if(!automatized) dout << "MC efficiencies:" << endl;
|
| 625 |
buchmann |
1.34 |
Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut,-1);
|
| 626 |
buchmann |
1.35 |
if(!automatized) cout << " Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
|
| 627 |
|
|
|
| 628 |
buchmann |
1.32 |
if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
|
| 629 |
buchmann |
1.8 |
if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
|
| 630 |
buchmann |
1.1 |
|
| 631 |
buchmann |
1.6 |
if(!automatized) dout << "Error from Peak position:" << endl;
|
| 632 |
|
|
float sysfrompeak=0;
|
| 633 |
buchmann |
1.42 |
PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
|
| 634 |
buchmann |
1.6 |
|
| 635 |
buchmann |
1.5 |
if(!automatized) dout << "Jet energy scale: " << std::endl;
|
| 636 |
buchmann |
1.42 |
float jesup,jesdown;
|
| 637 |
|
|
JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
|
| 638 |
buchmann |
1.1 |
|
| 639 |
buchmann |
1.5 |
if(!automatized) dout << "JZB scale: " << std::endl;
|
| 640 |
buchmann |
1.42 |
float scaleup,scaledown,scalesyst;
|
| 641 |
|
|
doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
|
| 642 |
buchmann |
1.1 |
|
| 643 |
buchmann |
1.5 |
if(!automatized) dout << "JZB response: " << std::endl;
|
| 644 |
buchmann |
1.42 |
float resp,resperr;
|
| 645 |
|
|
if(PlottingSetup::computeJZBresponse) {
|
| 646 |
buchmann |
1.32 |
if(!automatized) dout << "JZB response: " << std::endl;
|
| 647 |
|
|
JZBresponse(events,requireZ,resp,resperr,addcut);
|
| 648 |
|
|
}
|
| 649 |
buchmann |
1.1 |
|
| 650 |
buchmann |
1.5 |
if(!automatized) dout << "Pileup: " << std::endl;
|
| 651 |
buchmann |
1.42 |
float resolution;
|
| 652 |
|
|
resolution=pileup(events,requireZ,informalname,addcut);
|
| 653 |
pablom |
1.23 |
|
| 654 |
buchmann |
1.22 |
float PDFuncert=0;
|
| 655 |
buchmann |
1.42 |
if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
|
| 656 |
|
|
if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
|
| 657 |
pablom |
1.23 |
|
| 658 |
buchmann |
1.5 |
dout << "_______________________________________________" << endl;
|
| 659 |
buchmann |
1.10 |
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) ";
|
| 660 |
|
|
if(addcut!="") dout << "With additional cut: " << addcut;
|
| 661 |
|
|
dout << endl;
|
| 662 |
buchmann |
1.18 |
dout << "MC efficiency: " << mceff << "+/-" << mcefferr << endl; // in range [0,1]
|
| 663 |
|
|
dout << "Trigger efficiency: " << triggereff << endl; // in range [0,1]
|
| 664 |
|
|
dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
|
| 665 |
|
|
dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
|
| 666 |
|
|
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
|
| 667 |
|
|
dout << "Resolution : " << resolution << endl; // in range [0,1]
|
| 668 |
|
|
dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
|
| 669 |
buchmann |
1.24 |
if(ismSUGRA) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1]
|
| 670 |
buchmann |
1.32 |
if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
|
| 671 |
|
|
if(PlottingSetup::computeJZBresponse)dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
|
| 672 |
buchmann |
1.1 |
|
| 673 |
buchmann |
1.4 |
float toterr=0;
|
| 674 |
buchmann |
1.18 |
toterr+=(triggereff)*(triggereff);
|
| 675 |
|
|
toterr+=(leptonseleff)*(leptonseleff);
|
| 676 |
|
|
if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
|
| 677 |
|
|
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
|
| 678 |
|
|
toterr+=(resolution*resolution);
|
| 679 |
|
|
toterr+=(sysfrompeak*sysfrompeak);
|
| 680 |
buchmann |
1.22 |
if(ismSUGRA) toterr+=(PDFuncert*PDFuncert);
|
| 681 |
buchmann |
1.18 |
dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl;
|
| 682 |
buchmann |
1.19 |
float systerr=TMath::Sqrt(toterr)*mceff;
|
| 683 |
|
|
toterr=TMath::Sqrt(toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err!
|
| 684 |
|
|
|
| 685 |
|
|
dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst) %" << endl;
|
| 686 |
|
|
dout << " we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
|
| 687 |
buchmann |
1.36 |
dout << "_______________________________________________" << endl;
|
| 688 |
buchmann |
1.19 |
|
| 689 |
|
|
//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
|
| 690 |
buchmann |
1.4 |
vector<float> res;
|
| 691 |
|
|
res.push_back(jzbSel);
|
| 692 |
|
|
res.push_back(mceff);
|
| 693 |
|
|
res.push_back(mcefferr);
|
| 694 |
|
|
res.push_back(toterr);
|
| 695 |
|
|
res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
|
| 696 |
buchmann |
1.18 |
if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
|
| 697 |
|
|
if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
|
| 698 |
|
|
res.push_back(fabs(resolution));
|
| 699 |
buchmann |
1.35 |
res.push_back(mceff_nosigcont.getValue());
|
| 700 |
|
|
res.push_back(mceff_nosigcont.getError());
|
| 701 |
|
|
if(ismSUGRA) res.push_back(PDFuncert);
|
| 702 |
buchmann |
1.34 |
results.push_back(res);
|
| 703 |
buchmann |
1.1 |
}
|
| 704 |
|
|
|
| 705 |
buchmann |
1.8 |
vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
|
| 706 |
buchmann |
1.4 |
automatized=true;
|
| 707 |
|
|
vector< vector<float> > systematics;
|
| 708 |
buchmann |
1.1 |
for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
|
| 709 |
buchmann |
1.5 |
dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
|
| 710 |
buchmann |
1.1 |
for(int ibin=0;ibin<bins.size();ibin++) {
|
| 711 |
|
|
jzbSel=bins[ibin];
|
| 712 |
buchmann |
1.2 |
geqleq="geq";
|
| 713 |
buchmann |
1.13 |
do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
|
| 714 |
buchmann |
1.1 |
}//end of bin loop
|
| 715 |
|
|
}//end of signal loop
|
| 716 |
buchmann |
1.4 |
return systematics;
|
| 717 |
buchmann |
1.1 |
}
|
