[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
{
  friend class AliCaloRawAnalyzerFactory; // self explanatory
  
 public:
  
  virtual ~AliCaloRawAnalyzerNN();
  virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector, 
                                      UInt_t altrocfg1, UInt_t altrocfg2 );

 private:

  AliCaloRawAnalyzerNN();
  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
e37e3c84	32	class AliCaloRawAnalyzerNN : public AliCaloRawAnalyzer
e37e3c84	33	{
1f847d9f	34	friend class AliCaloRawAnalyzerFactory; // self explanatory
6656f267	35
e37e3c84	36	public:
6656f267	37
e37e3c84	38	virtual ~AliCaloRawAnalyzerNN();
ce95bae9	39	virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector,
6656f267	40	UInt_t altrocfg1, UInt_t altrocfg2 );
e37e3c84	41
e37e3c84	42	private:
6656f267	43
92d9f317	44	AliCaloRawAnalyzerNN();
6656f267	45	AliCaloRawAnalyzerNN( const AliCaloRawAnalyzerNN & );
	46	AliCaloRawAnalyzerNN & operator = ( const AliCaloRawAnalyzerNN & );
	47
e37e3c84	48	AliCaloNeuralFit *fNeuralNet; // pointer to the class whick actually implements the Neural Network for EMCAL
	49	Double_t fNNInput[5]; // The 5 input Neurons to the network ( mix bin + to samples on each side )
	50	ClassDef( AliCaloRawAnalyzerNN, 1 )
	51
	52	};
	53
	54	#endif