SdivSqrtSplusB.h

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// @(#)root/tmva $Id$
// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss
 
/**********************************************************************************
 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis       *
 * Package: TMVA                                                                  *
 * Class  : SdivSqrtSplusB                                                        *
 *                                             *
 *                                                                                *
 * Description: Implementation of the SdivSqrtSplusB as separation criterion      *
 *              S/sqrt(S + B)                                                     *
 *                                                                                *
 * Authors (alphabetical):                                                        *
 *      Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland              *
 *      Helge Voss      <Helge.Voss@cern.ch>     - MPI-K Heidelberg, Germany      *
 *      Kai Voss        <Kai.Voss@cern.ch>       - U. of Victoria, Canada         *
 *                                                                                *
 * Copyright (c) 2005:                                                            *
 *      CERN, Switzerland                                                         *
 *      U. of Victoria, Canada                                                    *
 *      Heidelberg U., Germany                                                    *
 *                                                                                *
 * Redistribution and use in source and binary forms, with or without             *
 * modification, are permitted according to the terms listed in LICENSE           *
 * (see tmva/doc/LICENSE)                                          *
 **********************************************************************************/
 
#ifndef ROOT_TMVA_SdivSqrtSplusB
#define ROOT_TMVA_SdivSqrtSplusB
 
//////////////////////////////////////////////////////////////////////////
//                                                                      //
// SdivSqrtSplusB                                                       //
//                                                                      //
// Implementation of the SdivSqrtSplusB as separation criterion         //
//   Index = S/sqrt(S+B)  (statistical significance)                    //
//                                                                      //
//////////////////////////////////////////////////////////////////////////
 
#include "TMVA/SeparationBase.h"
 
namespace TMVA {
 
   class SdivSqrtSplusB : public SeparationBase {
 
   public:
 
      //constructor for the "statistical significance" index
   SdivSqrtSplusB(): SeparationBase()  { fName = "StatSig"; }
 
      // copy constructor
   SdivSqrtSplusB( const SdivSqrtSplusB& g): SeparationBase(g) {}
 
      //destructor
      virtual ~SdivSqrtSplusB() {}
 
      // Return the gain in separation of the original sample is split in two sub-samples
      // (N * Index_parent) - (N_left * Index_left) - (N_right * Index_right)
      virtual Double_t GetSeparationGain( const Double_t nSelS, const Double_t nSelB,
                                          const Double_t nTotS, const Double_t nTotB );
      // return the Index (S/sqrt(S+B))
      virtual Double_t  GetSeparationIndex( const Double_t s, const Double_t b );
 
   protected:
 
      ClassDef(SdivSqrtSplusB,0); // Implementation of the SdivSqrtSplusB as separation criterion
   };
 
} // namespace TMVA
 
#endif