+++ /dev/null
-/**************************************************************************
- * This file is property of and copyright by the Experimental Nuclear *
- * Physics Group, Dep. of Physics *
- * University of Oslo, Norway, 2007 *
- * *
- * Author: Per Thomas Hille <perthomas.hille@yale.edu> *
- * for the ALICE HLT Project. *
- * Contributors are mentioned in the code where appropriate. *
- * Please report bugs to perthi@fys.uio.no *
- * *
- * Permission to use, copy, modify and distribute this software and its *
- * documentation strictly for non-commercial purposes is hereby granted *
- * without fee, provided that the above copyright notice appears in all *
- * copies and that both the copyright notice and this permission notice *
- * appear in the supporting documentation. The authors make no claims *
- * about the suitability of this software for any purpose. It is *
- * provided "as is" without express or implied warranty. *
- **************************************************************************/
-
-// Evaluation of peak position
-// and amplitude using Neural Networks (NN)
-// ------------------
-// ------------------
-// ------------------
-
-
-#include "AliCaloRawAnalyzerNN.h"
-#include "AliCaloNeuralFit.h"
-#include "AliCaloFitResults.h"
-#include "AliCaloBunchInfo.h"
-#include <iostream>
-using namespace std;
-
-#include "AliCaloConstants.h"
-
-ClassImp( AliCaloRawAnalyzerNN )
-
-AliCaloRawAnalyzerNN::AliCaloRawAnalyzerNN() : AliCaloRawAnalyzer("Neural Network", "NN"), fNeuralNet(0)
-{
- // Ctor
-
- fAlgo=Algo::kNeuralNet;
-
- fNeuralNet = new AliCaloNeuralFit();
-
- for(int i=0; i < 5 ; i++)
- {
- fNNInput[i] = 0;
- }
-
-}
-
-
-AliCaloRawAnalyzerNN::~AliCaloRawAnalyzerNN()
-{
- // Dtor
- delete fNeuralNet;
-}
-
-
-AliCaloFitResults
-AliCaloRawAnalyzerNN::Evaluate( const vector<AliCaloBunchInfo> &bunchvector,
- UInt_t altrocfg1, UInt_t altrocfg2 )
-{
- // The eveluation of Peak position and amplitude using the Neural Network
- if( bunchvector.size() <= 0 )
- {
- // cout << __FILE__ << __LINE__<< " INVALID "<< endl;
-
- return AliCaloFitResults( Ret::kInvalid, Ret::kInvalid);
- }
-
- short maxampindex;
- short maxamp;
-
- int index = SelectBunch( bunchvector, &maxampindex , &maxamp ) ;
-
- if( index < 0 )
- {
- // cout << __FILE__ << __LINE__<< "INVALID !!!!!!" << endl;
- return AliCaloFitResults( Ret::kInvalid, Ret::kInvalid);
- }
-
- Float_t ped = ReverseAndSubtractPed( &(bunchvector.at( index ) ) , altrocfg1, altrocfg2, fReversed );
- short timebinOffset = maxampindex - (bunchvector.at(index).GetLength()-1);
- double maxf = maxamp - ped;
-
- if( maxf < fAmpCut || ( maxamp - ped) > fOverflowCut ) // (maxamp - ped) > fOverflowCut = Close to saturation (use low gain then)
- {
- // cout << __FILE__ << __LINE__<< ": timebinOffset = " << timebinOffset << " maxf "<< maxf << endl;
- return AliCaloFitResults( maxamp, ped, Ret::kCrude, maxf, timebinOffset);
- }
-
- int first = 0;
- int last = 0;
- short maxrev = maxampindex - bunchvector.at(index).GetStartBin();
- SelectSubarray( fReversed, bunchvector.at(index).GetLength(), maxrev , &first, &last, fFitArrayCut );
-
- Float_t chi2 = 0;
- Int_t ndf = 0;
- if(maxrev < 1000 )
- {
- if ( ( maxrev - first) < 2 && (last - maxrev ) < 2)
- {
- chi2 = CalculateChi2(maxf, maxrev, first, last);
- ndf = last - first - 1; // nsamples - 2
- // cout << __FILE__ << __LINE__<< ": timebinOffset = " << timebinOffset << " maxf\t"<< maxf <<endl;
- return AliCaloFitResults( maxamp, ped, Ret::kCrude, maxf, timebinOffset,
- timebinOffset, chi2, ndf, Ret::kDummy, AliCaloFitSubarray(index, maxrev, first, last) );
- }
- else
- {
-
- for(int i=0; i < 5 ; i++)
- {
- fNNInput[i] = fReversed[maxrev-2 +i]/(maxamp -ped);
- }
-
-
- double amp = (maxamp - ped)*fNeuralNet->Value( 0, fNNInput[0], fNNInput[1], fNNInput[2], fNNInput[3], fNNInput[4]);
- double tof = (fNeuralNet->Value( 1, fNNInput[0], fNNInput[1], fNNInput[2], fNNInput[3], fNNInput[4]) + timebinOffset ) ;
-
- // use local-array time for chi2 estimate
- chi2 = CalculateChi2(amp, tof-timebinOffset+maxrev, first, last);
- ndf = last - first - 1; // nsamples - 2
- //cout << __FILE__ << __LINE__<< ": tof = " << tof << " amp" << amp <<endl;
- return AliCaloFitResults( maxamp, ped , Ret::kFitPar, amp , tof, timebinOffset, chi2, ndf,
- Ret::kDummy, AliCaloFitSubarray(index, maxrev, first, last) );
-
- }
- }
- chi2 = CalculateChi2(maxf, maxrev, first, last);
- ndf = last - first - 1; // nsamples - 2
-
- // cout << __FILE__ << __LINE__<< ": timebinOffset = " << timebinOffset << " maxf ="<< maxf << endl;
- return AliCaloFitResults( maxamp, ped, Ret::kCrude, maxf, timebinOffset,
- timebinOffset, chi2, ndf, Ret::kDummy, AliCaloFitSubarray(index, maxrev, first, last) );
-
-}
-
-