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jindal |
1.1 |
{ gROOT->SetStyle("Plain");
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gStyle->SetOptStat(0000);
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gStyle->SetPalette(1);
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int nvar =8 ;
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int color;
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TString var[8]={"Mt","getHt3","ht2p","ktMinPrime","DphiJMET","aplanarity", "htPlusLepton", "dPhiLMet"};
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TString tmp = "Ntuple_goodglobalmuon.root";
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TFile * f1 = new TFile(tmp);
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//tmp = "output/Comb2/TMVA.root";
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// TFile * f2 = new TFile(tmp);
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TH1F *h1sig[nvar];
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//TH1F *h1bgd[nvar];
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TH1F *h2sig[nvar];
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TH1F *hdiff[nvar];
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Double_t norm1sig, norm1bgd,norm2sig,norm2bgd;
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for(int j=0;j<nvar;j++){
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h1sig[j] = (TH1F*)f1->Get("h"+var[j]+"_rel_iso");
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// h1bgd[j] = (TH1F*)f1->Get("Method_Likelihood/Likelihood/"+var[j]+"_bgd");
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h2sig[j] = (TH1F*)f1->Get("h"+var[j]+"_rel_iso_rev");
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tmp = var[j]+"_diff";
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hdiff[j] = (TH1F*) h1sig[j]->Clone(tmp);
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hdiff[j]->Reset();
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//h2bgd[j] = (TH1F*)f2->Get("Method_Likelihood/Likelihood/"+var[j]+"_bgd");
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int nbins1 = h1sig[j]->GetNbinsX();
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Double_t N1[nbins1+1][nvar],N2[nbins1+1][nvar];
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for(int i = 1; i < nbins1+1; i++){
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N1[i][j] = h1sig[j]->GetBinContent(i);
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N2[i][j] = h2sig[j]->GetBinContent(i);}
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norm1sig = h1sig[j]->Integral();
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if(norm1sig > 0)
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norm1sig = norm1sig;
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else
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norm1sig = 1;
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| 37 |
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| 38 |
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//norm1bgd = 1./h1bgd[j]->Integral();
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norm2sig = h2sig[j]->Integral();
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if(norm2sig > 0)
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norm1sig = norm1sig;
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| 42 |
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else
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norm2sig = 1;
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| 44 |
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//norm2bgd = 1./h2bgd[j]->Integral();
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| 45 |
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// norm1sig = h1sig[j]->GetEntries();
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//norm1bgd = h1bgd[j]->GetEntries();
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| 47 |
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// norm2sig = h2sig[j]->GetEntries();
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//norm2bgd = h2bgd[j]->GetEntries();
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| 50 |
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h1sig[j]->Scale(1./norm1sig);
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// h1bgd[j]->Scale(1./norm1bgd);
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h2sig[j]->Scale(1./norm2sig);
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//h2bgd[j]->Scale(1./norm2bgd);
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}
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/////////////////////// DRAWING /////////////////////////////
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| 57 |
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| 59 |
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// h1sig[0]->SetTitle("template");
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h1sig[0]->GetYaxis()->SetTitle("Normalized");
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TCanvas *c1[8];
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TCanvas *c2[8];
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Double_t Sig1, Sig2, Diff, Err;
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for(j=0;j<nvar;j++){
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leg = new TLegend(0.4,0.6,0.65,0.88);
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c1[j] = new TCanvas(var[j],var[j],900,600);
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tmp = var[j]+"_diff";
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c2[j] = new TCanvas(tmp,tmp,900,600);
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c1[j]->cd();
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h1sig[j]->GetXaxis()->SetTitle(var[j]);
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h1sig[j]->SetTitle(var[j]);
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h1sig[j]->SetLineColor(4);
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// h1bgd[j]->SetMarkerColor(5);
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h2sig[j]->SetLineColor(6);
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// h2bgd[j]->SetMarkerColor(7);
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h1sig[j]->Draw("HIST");
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//h1bgd[j]->Draw("HIST same");
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h2sig[j]->Draw("HIST same");
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//h2bgd[j]->Draw("HIST same");
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tmp = "with relative isolation";
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leg->AddEntry(h1sig[j],tmp,"L");
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tmp = "relative isolation reversed";
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leg->AddEntry(h2sig[j],tmp,"L");
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leg->SetFillColor(0);
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leg->SetLineColor(0);
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leg->Draw();
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tmp= var[j]+"_reliso.png";
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c1[j]->Print(tmp);
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int nbins = h1sig[j]->GetNbinsX();
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for(int i = 1; i < nbins+1; i++){
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Sig1 = h1sig[j]->GetBinContent(i);
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| 92 |
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Sig2 = h2sig[j]->GetBinContent(i);
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| 93 |
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Diff = Sig1 - Sig2;
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if( N1[i][j] >0 && N2[i][j] > 0)
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Err =(1./ sqrt(N1[i][j]))*Sig1 + (1./ sqrt(N2[i][j]))*Sig2;
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else
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Err = 0;
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| 98 |
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hdiff[j]->SetBinContent(i,Diff);
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hdiff[j]->SetBinError(i,Err);}
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| 100 |
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| 101 |
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c2[j]->cd();
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hdiff[j]->SetTitle(var[j]+" difference");
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| 103 |
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hdiff[j]->SetXTitle(var[j]);
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| 104 |
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hdiff[j]->SetYTitle("difference");
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| 105 |
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hdiff[j]->Draw();
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| 106 |
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tmp= var[j]+"_reliso_diff.png";
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| 108 |
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c2[j]->Print(tmp);
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| 116 |
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| 117 |
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}
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| 118 |
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}
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| 119 |
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