Line data    Source code

       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             : class  AliCaloRawAnalyzerNN : public AliCaloRawAnalyzer
      33             : {
      34             :   friend class AliCaloRawAnalyzerFactory; // self explanatory
      35             :   
      36             :  public:
      37             :   
      38             :   virtual ~AliCaloRawAnalyzerNN();
      39             :   virtual AliCaloFitResults Evaluate( const std::vector<AliCaloBunchInfo> &bunchvector, 
      40             :                                       UInt_t altrocfg1, UInt_t altrocfg2 );
      41             : 
      42             :  private:
      43             : 
      44             :   AliCaloRawAnalyzerNN();
      45             :   AliCaloRawAnalyzerNN(                 const AliCaloRawAnalyzerNN & );
      46             :   AliCaloRawAnalyzerNN   & operator = ( const AliCaloRawAnalyzerNN & );
      47             :   
      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          42 :   ClassDef( AliCaloRawAnalyzerNN, 1 )
      51             : 
      52             : };
      53             : 
      54             : #endif