RooRandomizeParamMCSModule.h

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitCore                                                       *
 *    File: $Id: RooRandomizeParamMCSModule.h,v 1.2 2007/05/11 09:11:30 verkerke Exp $
 * Authors:                                                                  *
 *   WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu       *
 *   DK, David Kirkby,    UC Irvine,         dkirkby@uci.edu                 *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California          *
 *                          and Stanford University. All rights reserved.    *
 *                                                                           *
 * Redistribution and use in source and binary forms,                        *
 * with or without modification, are permitted according to the terms        *
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)             *
 *****************************************************************************/
 
#ifndef ROO_RANDOMIZE_PARAM_MCS_MODULE
#define ROO_RANDOMIZE_PARAM_MCS_MODULE
 
#include "RooAbsMCStudyModule.h"
#include "RooRealVar.h"
#include <list>
 
class RooRandomizeParamMCSModule : public RooAbsMCStudyModule {
public:
 
  RooRandomizeParamMCSModule() ;
  RooRandomizeParamMCSModule(const RooRandomizeParamMCSModule& other) ;
  virtual ~RooRandomizeParamMCSModule() ;
 
  void sampleUniform(RooRealVar& param, Double_t lo, Double_t hi) ;
  void sampleGaussian(RooRealVar& param, Double_t mean, Double_t sigma) ;
 
  void sampleSumUniform(const RooArgSet& paramSet, Double_t lo, Double_t hi) ;
  void sampleSumGauss(const RooArgSet& paramSet, Double_t lo, Double_t hi) ;
 
  Bool_t initializeInstance() ; 
 
  Bool_t initializeRun(Int_t /*numSamples*/) ; 
  RooDataSet* finalizeRun() ;
 
  Bool_t processBeforeGen(Int_t /*sampleNum*/) ; 
   
private:
 
  struct UniParam {
     UniParam() {}
     UniParam(RooRealVar* p, Double_t lo, Double_t hi) : _param(p), _lo(lo), _hi(hi) {}
     bool operator==(const UniParam& other) { return (_param==other._param) ; }
     bool operator<(const UniParam& other) { return (_lo<other._lo) ; }
     RooRealVar* _param ;
     Double_t _lo ;
     Double_t _hi ;
  } ;
 
  struct UniParamSet {
     UniParamSet() {}
     UniParamSet(const RooArgSet& pset, Double_t lo, Double_t hi) : _pset(pset), _lo(lo), _hi(hi) {}
     bool operator==(const UniParamSet& other) { return (_lo==other._lo) ; }
     bool operator<(const UniParamSet& other) { return (_lo<other._lo) ; }
     RooArgSet _pset ;
     Double_t _lo ;
     Double_t _hi ;
  } ;
 
  struct GausParam {
     GausParam() {}
     GausParam(RooRealVar* p, Double_t mean, Double_t sigma) : _param(p), _mean(mean), _sigma(sigma) {}
     bool operator==(const GausParam& other) { return (_param==other._param) ; }
     bool operator<(const GausParam& other) { return (_mean<other._mean) ; }
     RooRealVar* _param ;
     Double_t _mean ;
     Double_t _sigma ;
  } ;
 
  struct GausParamSet {
     GausParamSet() {}
     GausParamSet(const RooArgSet& pset, Double_t mean, Double_t sigma) : _pset(pset), _mean(mean), _sigma(sigma) {}
     bool operator==(const GausParamSet& other) { return (_mean==other._mean) ; }
     bool operator<(const GausParamSet& other) { return (_mean<other._mean) ; }
     RooArgSet _pset ;
     Double_t _mean ;
     Double_t _sigma ;
  } ;
 
  std::list<UniParam>     _unifParams ; //!
  std::list<UniParamSet>  _unifParamSets ; //!
  std::list<GausParam>    _gausParams ; //!
  std::list<GausParamSet> _gausParamSets ; //!
 
  RooArgSet _genParSet ;
  RooDataSet* _data ;
 
  ClassDef(RooRandomizeParamMCSModule,0) // MCStudy module to vary one or more input parameters during fit/generation cycle
} ;
 
 
#endif