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pam-fi |
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/* |
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* BinnedEffCollection.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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/*! @file BinnedEffCollection.cpp The BinnedEffCollection class implementation file. */ |
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#include "BinnedEffCollection.h" |
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#include "TGraphAsymmErrors.h" |
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extern "C" { |
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/*! @brief Fortran routine by Sergio Ricciarini which computes errors on the efficiency. |
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* |
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* This routine has been developed to carefully evaluate the error bars on the efficiency, |
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* which must have a value between 0 and 1. See the appendix of Sergio's PhD thesis for more |
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* details. |
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* The important thing is that the computed efficiency will have the unphysical value 1.1 |
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* if there are less than 8 events in the efficiency sample (eg., the sample used to compute the |
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* efficiency). This is necessary to have a reliable estimate of the errors. |
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* |
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* @param sel Pointer to an Int_t variable containing the number of events in the efficiency sample. |
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* @param det Pointer to an Int_t variable containing the number of events in the efficiency sample |
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* which satisfied the set of cuts for which the efficiency is being measured. |
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* @param eff Pointer to a Double_t variable where the computed efficiency will be returned. |
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* @param errLow Pointer to a Double_t variable where the length of the lower error bar will |
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* be returned. |
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* @param errHigh Pointer to a Double_t variable where the length of the upper error bar will |
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* be returned. |
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* @return Not clear at this point... ignore it. |
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*/ |
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bool efficiency_(Int_t* sel, Int_t* det, Double_t* eff, Double_t* errLow, Double_t* errHigh); |
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} |
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BinnedEffCollection::BinnedEffCollection(const char *collectionName, TString outFileBase, TString binsFile, int errMethod, |
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bool owns) : |
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EffCollection(collectionName, outFileBase, errMethod, owns), _bins(0), _selVector(0), _detVector(0), _outUp(0), |
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_outDown(0) { |
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ifstream binListFile; |
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binListFile.open(binsFile); |
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TString auxString; |
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while (!binListFile.eof()) { |
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binListFile >> auxString; |
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if (auxString != "") { |
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_bins.push_back(auxString.Atof()); |
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} |
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} |
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binListFile.close(); |
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_selVector.resize(_bins.size() - 1, 0); |
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_detVector.resize(_bins.size() - 1, 0); |
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} |
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int BinnedEffCollection::ApplyCut(PamLevel2 *event) { |
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_nEv++; |
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if (_selCollection.ApplyCut(event) == CUTOK) { |
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// Check if the event is inside the rigidity range |
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// NOTE: at this point a TrkPhSinCut should be already performed, |
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// since we are going to retrieve rigidity. |
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float binVal = GetBinValue(event); |
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if (binVal >= _bins[0]) { |
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int i = 1; |
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while (binVal >= _bins[i] && i < (int) _bins.size()) { |
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i++; |
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} |
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i--; |
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if (i < (int) (_selVector.size())) { |
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_selVector[i]++; |
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_sel++; |
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if (_detCollection.ApplyCut(event) == CUTOK) { |
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_detVector[i]++; |
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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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else |
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_outUp++; |
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} |
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else { |
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_outDown++; |
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return 0; |
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} |
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} |
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return 0; |
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} |
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void BinnedEffCollection::Finalize() { |
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// Print the report |
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EffCollection::Finalize(); |
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cout << " Events below the minimum rigidity: " << _outDown << "\n"; |
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cout << " Events above the maximum rigidity: " << _outUp << "\n"; |
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// Compute the error |
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Int_t sel[_selVector.size()]; |
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Int_t det[_detVector.size()]; |
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Double_t eff[_selVector.size()]; |
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Double_t errLow[_selVector.size()]; |
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Double_t errHigh[_selVector.size()]; |
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for (unsigned int i = 0; i < _selVector.size(); i++) { |
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sel[i] = (Int_t) _selVector[i]; |
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det[i] = (Int_t) _detVector[i]; |
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} |
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TGraphAsymmErrors errGraph; |
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errGraph.SetName(GetName()); |
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errGraph.SetMarkerColor(kRed); |
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errGraph.SetMarkerStyle(7); |
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errGraph.GetYaxis()->SetRangeUser(0, 1.2); |
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if (_errMethod == EFFERR_ROOT) { |
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double binning[_bins.size()]; |
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for (unsigned int i = 0; i < _bins.size(); i++) |
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binning[i] = _bins[i]; |
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TH1I pass("pass", "pass", _bins.size() - 1, binning); |
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TH1I total("total", "total", _bins.size() - 1, binning); |
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for (unsigned int i = 0; i < _selVector.size(); i++) { |
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for (int j = 0; j < det[i]; j++) |
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pass.Fill((binning[i + 1] + binning[i]) / 2.); |
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for (int j = 0; j < sel[i]; j++) |
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total.Fill((binning[i + 1] + binning[i]) / 2.); |
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} |
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errGraph.BayesDivide(&pass, &total); |
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Double_t graphX; |
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double currBin; |
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int currPoint = 0; |
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for (unsigned int i = 0; i < _selVector.size(); i++) { |
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errGraph.GetPoint(currPoint, graphX, eff[i]); |
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currBin = (binning[i + 1] + binning[i]) / 2.; |
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if (currBin == graphX) { |
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if (_selVector[i] < 8) { |
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eff[i] = 1.1; |
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errLow[i] = errHigh[i] = 0.; |
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errGraph.SetPoint(currPoint, graphX, 1.1); |
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float halfBin = (binning[i + 1] - binning[i]) / 2.; |
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errGraph.SetPointError(currPoint, halfBin, halfBin, 0., 0.); |
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} |
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currPoint++; |
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} |
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} |
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} |
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if (_errMethod == EFFERR_SERGIO) { |
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for (unsigned int i = 0; i < _selVector.size(); i++) { |
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efficiency_(&(sel[i]), &(det[i]), &(eff[i]), &(errLow[i]), &(errHigh[i])); |
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float R = (_bins[i] + _bins[i + 1]) / 2.; |
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float halfBin = (_bins[i + 1] - _bins[i]) / 2.; |
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errGraph.SetPoint(i, R, eff[i]); |
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errGraph.SetPointError(i, halfBin, halfBin, errLow[i], errHigh[i]); |
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} |
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} |
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// Write the output files |
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if (_outFileBase != "") { |
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ofstream outTextFile((_outFileBase + "-" + GetName() + "-rig.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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for (unsigned int i = 0; i < _selVector.size(); i++) { |
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outTextFile << setw(10) << _bins[i] << " " << setw(10) << _bins[i + 1] << " " << setw(10) << _detVector[i] << " " |
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<< setw(10) << _selVector[i] << " "; |
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if (_selVector[i] != 0) |
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outTextFile << setw(10) << eff[i] << " " << setw(10) << errLow[i] << " " << setw(10) << errHigh[i]; |
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else |
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outTextFile << setw(10) << 0. << " " << setw(10) << 0. << " " << setw(10) << 0.; |
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if (i < _selVector.size() - 1) //Avoids to print an empty line at the end of the file |
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outTextFile << endl; |
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} |
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outTextFile.close(); |
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TFile outRootFile((_outFileBase + "-" + GetName() + "-rig.root"), "RECREATE"); |
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outRootFile.cd(); |
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errGraph.Write(); |
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outRootFile.Close(); |
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} |
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} |