Fixes for report #65711: changes in ITSVertexer and AliMultiplicity (Annalisa)
[u/mrichter/AliRoot.git] / EMCAL / AliCaloRawAnalyzerNN.h
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e37e3c84 1#ifndef ALICALORAWANALYZERNN_H
2#define ALICALORAWANALYZERNN_H
3
4/**************************************************************************
5 * This file is property of and copyright by *
6 * the Relativistic Heavy Ion Group (RHIG), Yale University, US, 2009 *
7 * *
8 * Primary Author: Per Thomas Hille <perthomas.hille@yale.edu> *
9 * *
10 * Contributors are mentioned in the code where appropriate. *
11 * Please report bugs to p.t.hille@fys.uio.no *
12 * *
13 * Permission to use, copy, modify and distribute this software and its *
14 * documentation strictly for non-commercial purposes is hereby granted *
15 * without fee, provided that the above copyright notice appears in all *
16 * copies and that both the copyright notice and this permission notice *
17 * appear in the supporting documentation. The authors make no claims *
18 * about the suitability of this software for any purpose. It is *
19 * provided "as is" without express or implied warranty. *
20 **************************************************************************/
21
22// Evaluation of peak position
23// and amplitude using Neural Networks (NN)
24// ------------------
25
26#include "AliCaloRawAnalyzer.h"
27
28class AliCaloBunchInfo;
29class AliCaloFitResults;
30class AliCaloNeuralFit;
31
32
33class AliCaloRawAnalyzerNN : public AliCaloRawAnalyzer
34{
35 public:
36 AliCaloRawAnalyzerNN();
37 virtual ~AliCaloRawAnalyzerNN();
38 virtual AliCaloFitResults Evaluate( const vector<AliCaloBunchInfo> &bunchvector,
39 const UInt_t altrocfg1, const UInt_t altrocfg2 );
40 // virtual void SelectSubarray( const Double_t *fData, const int length, const short maxindex, int *const first, int *const last ) const;
41
42 private:
43 AliCaloRawAnalyzerNN( const AliCaloRawAnalyzerNN & );
44 AliCaloRawAnalyzerNN & operator = ( const AliCaloRawAnalyzerNN & );
45 AliCaloNeuralFit *fNeuralNet; // pointer to the class whick actually implements the Neural Network for EMCAL
46 Double_t fNNInput[5]; // The 5 input Neurons to the network ( mix bin + to samples on each side )
47 ClassDef( AliCaloRawAnalyzerNN, 1 )
48
49};
50
51#endif