RooMultiBinomial.cxx

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitCore                                                       *
 * @(#)root/roofitcore:$Id: RooMultiBinomial.cxx 31258 2009-11-17 22:41:06Z wouter $
 * Author:                                                                   *
 * Tristan du Pree, Nikhef, Amsterdam, tdupree@nikhef.nl                     * 
 *                                                                           *
 * 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)             *
 *****************************************************************************/

//////////////////////////////////////////////////////////////////////////////
// 
// BEGIN_HTML
// RooMultiBinomial is an efficiency function which makes all combinations of 
// efficiencies given as input different effiency functions for different categories.
// 
// Given a dataset with a category C that determines if a given
// event is accepted (1) or rejected (0) for the efficiency to be measured,
// this class evaluates as F if C is 'accept' and as (1-F) if
// C is 'reject'. Values of F below 0 and above 1 are clipped.
// F may have an arbitrary number of dependents and parameters
//
// The combination only 'reject' can be chosen to be visible or not visible
// (and hence this efficiency is then equal to zero).
// END_HTML
//

#include "RooFit.h"

#include "RooMultiBinomial.h"
#include "RooStreamParser.h"
#include "RooArgList.h"
#include "RooAbsCategory.h"
#include "RooMsgService.h"
#include <string>
#include <vector>

using namespace std ;

ClassImp(RooMultiBinomial)
  ;


//_____________________________________________________________________________
RooMultiBinomial::RooMultiBinomial(const char *name, const char *title, 
                                   const RooArgList& effFuncList, 
                                   const RooArgList& catList,
                                   Bool_t ignoreNonVisible) :
  RooAbsReal(name,title),
  _catList("catList","list of cats", this),
  _effFuncList("effFuncList","list of eff funcs",this),
  _ignoreNonVisible(ignoreNonVisible)
{  
  // Construct the efficiency functions from a list of efficiency functions
  // and a list of categories cat with two states (0,1) that indicate if a given
  // event should be counted as rejected or accepted respectively

  _catList.add(catList);
  _effFuncList.add(effFuncList);

  if (_catList.getSize() != effFuncList.getSize()) {
    coutE(InputArguments) << "RooMultiBinomial::ctor(" << GetName() << ") ERROR: Wrong input, should have equal number of categories and efficiencies." << endl;
    throw string("RooMultiBinomial::ctor() ERROR: Wrong input, should have equal number of categories and efficiencies") ;
  }

}



//_____________________________________________________________________________
RooMultiBinomial::RooMultiBinomial(const RooMultiBinomial& other, const char* name) : 
  RooAbsReal(other, name),
  _catList("catList",this,other._catList),
  _effFuncList("effFuncList",this,other._effFuncList),
  _ignoreNonVisible(other._ignoreNonVisible)
{
  // Copy constructor
}



//_____________________________________________________________________________
RooMultiBinomial::~RooMultiBinomial() 
{
  // Destructor
}



//_____________________________________________________________________________
Double_t RooMultiBinomial::evaluate() const
{
  // Calculate the raw value of the function which is the effFunc
  // value if cat==1 and it is (1-effFunc) if cat==0

  Int_t effFuncListSize = _effFuncList.getSize();

  // Get efficiency function for category i

  vector<Double_t> effFuncVal(effFuncListSize);
  for (int i=0; i<effFuncListSize; ++i) {
    effFuncVal[i] = ((RooAbsReal&)_effFuncList[i]).getVal() ;
  }

  // Truncate efficiency functions in range 0.0-1.0

  for (int i=0; i<effFuncListSize; ++i) {
    if (effFuncVal[i]>1) {
      coutW(Eval) << "WARNING: Efficency >1 (equal to " << effFuncVal[i] 
                  << " ), for i = " << i << "...TRUNCATED" << endl;
      effFuncVal[i] = 1.0 ;
    } else if (effFuncVal[i]<0) {
      effFuncVal[i] = 0.0 ;
      coutW(Eval) << "WARNING: Efficency <0 (equal to " << effFuncVal[i] 
                  << " ), for i = " << i << "...TRUNCATED" << endl;
    }
  }

  vector<Double_t> effValue(effFuncListSize);
  Bool_t notVisible = true;

  // Calculate efficiency per accept/reject decision

  for (int i=0; i<effFuncListSize; ++i) {
    if ( ((RooAbsCategory&)_catList[i]).getIndex() == 1) {
      // Accept case
      effValue[i] = effFuncVal[i] ;
      notVisible = false;
    } else if ( ((RooAbsCategory&)_catList[i]).getIndex() == 0){
      // Reject case
      effValue[i] = 1 - effFuncVal[i] ;
    } else {
      coutW(Eval) << "WARNING: WRONG CATEGORY NAMES GIVEN!, label = " << ((RooAbsCategory&)_catList[i]).getIndex() << endl;
      effValue[i] = 0;
    }
  }

  Double_t _effVal = 1.;

  // Calculate efficiency for combination of accept/reject categories
  // put equal to zero if combination of only zeros AND chosen to be invisible

  for (int i=0; i<effFuncListSize; ++i) {
    _effVal=_effVal*effValue[i];
    if (notVisible && _ignoreNonVisible){
      _effVal=0;
    }
  }

  return _effVal;

}

---