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/* |
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* EffCollection.cpp |
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* |
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* Created on: 10/ago/2009 |
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* Author: Nicola Mori |
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*/ |
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|
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/*! @file EffCollection.cpp The EffCollection class implementation file. */ |
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|
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#include "EffCollection.h" |
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#include "TGraphAsymmErrors.h" |
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|
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extern "C" { |
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bool efficiency_(Int_t*, Int_t*, Double_t*, Double_t*, Double_t*); |
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} |
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|
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EffCollection::EffCollection(const char *collectionName, TString outFileBase, int errMethod) : |
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VerboseCollection(collectionName), _selCollection("selCollection"), _detCollection("detCollection"), _outFileBase( |
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outFileBase), _errMethod(errMethod), _det(0), _sel(0) { |
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|
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} |
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|
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void EffCollection::AddDetectorCut(PamCut &cut) { |
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_detCollection.AddCut(cut); |
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} |
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|
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void EffCollection::AddSelectionCut(PamCut &cut) { |
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_selCollection.AddCut(cut); |
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} |
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|
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void EffCollection::AddDetectorAction(CollectionAction &action) { |
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_detCollection.AddAction(action); |
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} |
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|
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void EffCollection::AddSelectionAction(CollectionAction &action) { |
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_selCollection.AddAction(action); |
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} |
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|
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int EffCollection::ApplyCut(PamLevel2 *event) { |
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|
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_nEv++; |
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if (_selCollection.ApplyCut(event) == CUTOK) { |
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_sel++; |
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if (_detCollection.ApplyCut(event) == CUTOK) { |
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_det++; |
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_nGood++; |
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return CUTOK; |
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} |
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} |
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|
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return 0; |
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} |
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|
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void EffCollection::Finalize() { |
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// Let's add all the cuts to the vector of the collection before calling VerboseCollection::Finalize |
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for (unsigned int i = 0; i < _selCollection.GetSize(); i++) |
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_cuts.push_back(_selCollection.GetCut(i)); |
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for (unsigned int i = 0; i < _detCollection.GetSize(); i++) |
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_cuts.push_back(_detCollection.GetCut(i)); |
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// Now all the cuts are in place, and VerboseCollection can print its report |
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VerboseCollection::Finalize(); |
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|
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// Compute the error |
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Int_t sel = (Int_t) _sel; |
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Int_t det = (Int_t) _det; |
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Double_t eff, errLow, errHigh; |
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if (_errMethod == EFFERR_ROOT) { |
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if (sel < 8) { |
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eff = 1.1; |
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errLow = errHigh = 0.; |
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} |
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else { |
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TH1I pass("pass", "pass", 1, 0., 1.); |
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TH1I total("total", "total", 1, 0., 1.); |
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pass.Fill(0.5, det); |
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total.Fill(0.5, sel); |
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TGraphAsymmErrors errGraph; |
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errGraph.BayesDivide(&pass, &total); |
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Double_t dummy; |
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errGraph.GetPoint(0, dummy, eff); |
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errLow = errGraph.GetErrorYlow(0); |
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errHigh = errGraph.GetErrorYhigh(0); |
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} |
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} |
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if (_errMethod == EFFERR_SERGIO) { |
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efficiency_(&sel, &det, &eff, &errLow, &errHigh); |
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} |
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|
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// Add some info about efficiency to the stdout |
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cout << " ****** Efficiency informations ******\n"; |
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cout << " Detector cuts:\n"; |
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for (unsigned int i = 0; i < _detCollection.GetSize(); i++) |
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cout << " - " << _detCollection.GetCut(i)->GetName() << "\n"; |
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cout << " Total detector efficiency: " << eff << " +" << errHigh << "-" << errLow << endl; |
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|
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// Write the output file |
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if (_outFileBase != "") { |
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|
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ofstream outTextFile((_outFileBase + "-" + GetName() + ".txt").Data(), ios_base::out); |
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streamsize newPrec = 4; |
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outTextFile.precision(newPrec); |
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outTextFile.setf(ios::fixed, ios::floatfield); |
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outTextFile << setw(10) << det << setw(10) << sel << setw(10) << eff << setw(10) << errLow << setw(10) << errHigh |
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<< endl; |
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outTextFile.close(); |
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} |
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|
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} |
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