[u/mrichter/AliRoot.git] / EMCAL / AliCaloRawAnalyzerNN.h

#ifndef ALICALORAWANALYZERNN_H
#define ALICALORAWANALYZERNN_H

/**************************************************************************
 * This file is property of and copyright by                              *
 * the Relativistic Heavy Ion Group (RHIG), Yale University, US, 2009     *
 *                                                                        *
 * Primary Author: Per Thomas Hille <perthomas.hille@yale.edu>            *
 *                                                                        *
 * Contributors are mentioned in the code where appropriate.              *
 * Please report bugs to p.t.hille@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 "AliCaloRawAnalyzer.h"

class AliCaloBunchInfo;
class AliCaloFitResults;
class AliCaloNeuralFit;


class  AliCaloRawAnalyzerNN : public AliCaloRawAnalyzer
{
 public:
  AliCaloRawAnalyzerNN();
  virtual ~AliCaloRawAnalyzerNN();
  virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector, 
				       const UInt_t altrocfg1,  const UInt_t altrocfg2 );
  //  virtual void SelectSubarray( const Double_t *fData, const int length, const short maxindex, int *const  first, int *const last ) const;

 private:
  AliCaloRawAnalyzerNN( const AliCaloRawAnalyzerNN   & );
  AliCaloRawAnalyzerNN   & operator = ( const  AliCaloRawAnalyzerNN  & );
  AliCaloNeuralFit *fNeuralNet; // pointer to the class whick actually implements the Neural Network for EMCAL
  Double_t fNNInput[5]; // The 5 input Neurons to the network ( mix bin + to samples on each side )
  ClassDef( AliCaloRawAnalyzerNN, 1 )

};

#endif
Commit	Line	Data
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
	28	class AliCaloBunchInfo;
	29	class AliCaloFitResults;
	30	class AliCaloNeuralFit;
	31
	32
	33	class AliCaloRawAnalyzerNN : public AliCaloRawAnalyzer
	34	{
	35	public:
	36	AliCaloRawAnalyzerNN();
	37	virtual ~AliCaloRawAnalyzerNN();
ce95bae9	38	virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector,
e37e3c84	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