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#include "tmvaglob.C"
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// this macro plots the resulting MVA distributions (Signal and
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// Background overlayed) of different MVA methods run in TMVA
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// (e.g. running TMVAnalysis.C).
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enum HistType { MVAType = 0, ProbaType = 1, RarityType = 2 };
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// input: - Input file (result from TMVA)
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// - use of TMVA plotting TStyle
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void mvas( TString fin = "TMVA.root", HistType htype = MVAType, Bool_t useTMVAStyle = kFALSE )
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{
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// set style and remove existing canvas'
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TMVAGlob::Initialize( useTMVAStyle );
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// switches
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const Bool_t Draw_CFANN_Logy = kFALSE;
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const Bool_t Save_Images = kTRUE;
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// checks if file with name "fin" is already open, and if not opens one
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TFile* file = TMVAGlob::OpenFile( fin );
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cout << "--- plotting type: " << htype << endl;
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// define Canvas layout here!
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Int_t xPad = 1; // no of plots in x
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Int_t yPad = 1; // no of plots in y
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Int_t noPad = xPad * yPad ;
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const Int_t width = 600; // size of canvas
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// this defines how many canvases we need
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TCanvas *c = 0;
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// counter variables
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Int_t countCanvas = 0;
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// search for the right histograms in full list of keys
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TList methods;
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UInt_t nm = TMVAGlob::GetListOfMethods( methods );
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TIter next(&methods);
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TKey *key, *hkey;
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while ((key = (TKey*)next())) {
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cout << "--- Found directory: " << ((TDirectory*)key->ReadObj())->GetName()
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<< " --> going in" << endl;
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TString methodName;
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TMVAGlob::GetMethodName(methodName,key);
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cout << "--- Method: " << methodName << endl;
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TDirectory* mDir = (TDirectory*)key->ReadObj();
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TList titles;
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UInt_t ninst = TMVAGlob::GetListOfTitles(mDir,titles);
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TIter nextTitle(&titles);
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TKey *titkey;
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TDirectory *titDir;
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while ((titkey = TMVAGlob::NextKey(nextTitle,"TDirectory"))) {
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titDir = (TDirectory *)titkey->ReadObj();
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TString methodTitle;
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TMVAGlob::GetMethodTitle(methodTitle,titDir);
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TString hname = "MVA_" + methodTitle;
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if (htype == ProbaType ) hname += "_Proba";
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else if (htype == RarityType) hname += "_Rarity";
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TH1* sig = dynamic_cast<TH1*>(titDir->Get( hname + "_S" ));
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TH1* bgd = dynamic_cast<TH1*>(titDir->Get( hname + "_B" ));
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if(sig==0 || bgd==0) continue;
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// chop off useless stuff
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//sig->SetTitle( Form("TMVA output for classifier: %s", methodTitle.Data()) );
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sig->SetTitle( "" );
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if (htype == ProbaType)
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sig->SetTitle( Form("TMVA probability for classifier: %s", methodTitle.Data()) );
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else if (htype == RarityType)
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sig->SetTitle( Form("TMVA Rarity for classifier: %s", methodTitle.Data()) );
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// create new canvas
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TString ctitle = ((htype == MVAType) ?
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Form("TMVA output %s",methodTitle.Data()) :
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(htype == ProbaType) ?
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Form("TMVA probability %s",methodTitle.Data()) :
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Form("TMVA rarity %s",methodTitle.Data()));
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TString cname = ((htype == MVAType) ?
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Form("output_%s",methodTitle.Data()) :
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(htype == ProbaType) ?
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Form("probability_%s",methodTitle.Data()) :
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Form("rarity_%s",methodTitle.Data()));
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c = new TCanvas( Form("canvas%d", countCanvas+1), ctitle,
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countCanvas*50+200, countCanvas*20, width, width*0.78 );
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// set the histogram style
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TMVAGlob::SetSignalAndBackgroundStyle( sig, bgd );
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// normalise both signal and background
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TMVAGlob::NormalizeHists( sig, bgd );
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// frame limits (choose judicuous x range)
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Float_t nrms = 4;
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cout << "--- mean and RMS (S): " << sig->GetMean() << ", " << sig->GetRMS() << endl;
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cout << "--- mean and RMS (B): " << bgd->GetMean() << ", " << bgd->GetRMS() << endl;
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Float_t xmin = TMath::Max( TMath::Min(sig->GetMean() - nrms*sig->GetRMS(),
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bgd->GetMean() - nrms*bgd->GetRMS() ),
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sig->GetXaxis()->GetXmin() );
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Float_t xmax = TMath::Min( TMath::Max(sig->GetMean() + nrms*sig->GetRMS(),
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bgd->GetMean() + nrms*bgd->GetRMS() ),
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sig->GetXaxis()->GetXmax() );
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Float_t ymin = 0;
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Float_t ymax = TMath::Max( sig->GetMaximum(), bgd->GetMaximum() )*1.2 ;
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if (Draw_CFANN_Logy && mvaName[imva] == "CFANN") ymin = 0.01;
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// build a frame
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Int_t nb = 500;
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TH2F* frame = new TH2F( TString("frame") + methodTitle, sig->GetTitle(),
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nb, xmin, xmax, nb, ymin, ymax );
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//frame->GetXaxis()->SetTitle(methodTitle);
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frame->GetXaxis()->SetTitle("");
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if (htype == ProbaType ) frame->GetXaxis()->SetTitle( "Signal probability" );
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else if (htype == RarityType) frame->GetXaxis()->SetTitle( "Signal rarity" );
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//frame->GetYaxis()->SetTitle("Normalized");
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frame->GetYaxis()->SetTitle("");
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TMVAGlob::SetFrameStyle( frame );
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// eventually: draw the frame
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frame->Draw();
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c->GetPad(0)->SetLeftMargin( 0.105 );
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frame->GetYaxis()->SetTitleOffset( 1.2 );
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if (Draw_CFANN_Logy && mvaName[imva] == "CFANN") c->SetLogy();
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// Draw legend
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TLegend *legend= new TLegend( c->GetLeftMargin(), 1 - c->GetTopMargin() - 0.12,
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c->GetLeftMargin() + 0.3, 1 - c->GetTopMargin() );
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legend->SetFillStyle( 1 );
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legend->AddEntry(sig,"Signal","F");
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legend->AddEntry(bgd,"Background","F");
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legend->SetBorderSize(1);
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legend->SetMargin( 0.3 );
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legend->Draw("same");
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// overlay signal and background histograms
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// DEBUG signal color
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sig->SetLineColor(4);
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sig->Draw("samehist");
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bgd->Draw("samehist");
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// redraw axes
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frame->Draw("sameaxis");
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// text for overflows
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Int_t nbin = sig->GetNbinsX();
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TString uoflow = Form( "U/O-flow (S,B): (%.1f, %.1f)% / (%.1f, %.1f)%",
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sig->GetBinContent(0)*100, bgd->GetBinContent(0)*100,
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sig->GetBinContent(nbin+1)*100, bgd->GetBinContent(nbin+1)*100 );
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TText* t = new TText( 0.975, 0.115, uoflow );
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t->SetNDC();
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t->SetTextSize( 0.030 );
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t->SetTextAngle( 90 );
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//t->AppendPad();
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// save canvas to file
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c->Update();
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TMVAGlob::plot_logo();
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if (Save_Images) {
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if (htype == MVAType) TMVAGlob::imgconv( c, Form("plots/mva_%s", methodTitle.Data()) );
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else if (htype == ProbaType) TMVAGlob::imgconv( c, Form("plots/proba_%s", methodTitle.Data()) );
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else TMVAGlob::imgconv( c, Form("plots/rarity_%s", methodTitle.Data()) );
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}
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countCanvas++;
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}
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}
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}
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