RooParametricStepFunction.cxx

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitBabar                                                      *
 * @(#)root/roofit:$Id$
 * Authors:                                                                  *
 *    Aaron Roodman, Stanford Linear Accelerator Center, Stanford University *
 *                                                                           *
 * Copyright (c) 2004, 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)             *
 *****************************************************************************/
 
/** \class RooParametricStepFunction
    \ingroup Roofit
 
The Parametric Step Function PDF is a binned distribution whose parameters
are the heights of each bin.  This PDF was first used in BaBar's B0->pi0pi0
paper BABAR Collaboration (B. Aubert et al.) Phys.Rev.Lett.91:241801,2003.
 
This PDF may be used to describe oddly shaped distributions.  It differs
from a RooKeysPdf or a RooHistPdf in that a RooParametricStepFunction
has free parameters.  In particular, any statistical uncertainty in
sample used to model this PDF may be understood with these free parameters;
this is not possible with non-parametric PDFs.
 
The RooParametricStepFunction has Nbins-1 free parameters. Note that
the limits of the dependent variable must match the low and hi bin limits.
 
An example of usage is:
 
~~~ {.cpp}
Int_t nbins(10);
TArrayD limits(nbins+1);
limits[0] = 0.0; //etc...
RooArgList* list = new RooArgList("list");
RooRealVar* binHeight0 = new RooRealVar("binHeight0","bin 0 Value",0.1,0.0,1.0);
list->add(binHeight0); // up to binHeight8, ie. 9 parameters
 
RooParametricStepFunction  aPdf = ("aPdf","PSF",*x,
                                   *list,limits,nbins);
~~~
*/
 
#include "RooFit.h"
 
#include "Riostream.h"
#include "TArrayD.h"
#include <math.h>
 
#include "RooParametricStepFunction.h"
#include "RooAbsReal.h"
#include "RooRealVar.h"
#include "RooArgList.h"
 
#include "TError.h"
 
using namespace std;
 
ClassImp(RooParametricStepFunction);
 
////////////////////////////////////////////////////////////////////////////////
/// Constructor
 
RooParametricStepFunction::RooParametricStepFunction(const char* name, const char* title,
              RooAbsReal& x, const RooArgList& coefList, TArrayD& limits, Int_t nBins) :
  RooAbsPdf(name, title),
  _x("x", "Dependent", this, x),
  _coefList("coefList","List of coefficients",this),
  _nBins(nBins)
{
  _coefIter = _coefList.createIterator() ;
 
  // Check lowest order
  if (_nBins<0) {
    cout << "RooParametricStepFunction::ctor(" << GetName()
    << ") WARNING: nBins must be >=0, setting value to 0" << endl ;
    _nBins=0 ;
  }
 
  TIterator* coefIter = coefList.createIterator() ;
  RooAbsArg* coef ;
  while((coef = (RooAbsArg*)coefIter->Next())) {
    if (!dynamic_cast<RooAbsReal*>(coef)) {
      cout << "RooParametricStepFunction::ctor(" << GetName() << ") ERROR: coefficient " << coef->GetName()
      << " is not of type RooAbsReal" << endl ;
      R__ASSERT(0) ;
    }
    _coefList.add(*coef) ;
  }
  delete coefIter ;
 
  // Bin limits
  limits.Copy(_limits);
 
}
 
////////////////////////////////////////////////////////////////////////////////
/// Copy constructor
 
RooParametricStepFunction::RooParametricStepFunction(const RooParametricStepFunction& other, const char* name) :
  RooAbsPdf(other, name),
  _x("x", this, other._x),
  _coefList("coefList",this,other._coefList),
  _nBins(other._nBins)
{
  _coefIter = _coefList.createIterator();
  (other._limits).Copy(_limits);
}
 
////////////////////////////////////////////////////////////////////////////////
/// Destructor
 
RooParametricStepFunction::~RooParametricStepFunction()
{
  delete _coefIter ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
 
Int_t RooParametricStepFunction::getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* /*rangeName*/) const
{
  if (matchArgs(allVars, analVars, _x)) return 1;
  return 0;
}
 
////////////////////////////////////////////////////////////////////////////////
 
Double_t RooParametricStepFunction::analyticalIntegral(Int_t code, const char* rangeName) const
{
  R__ASSERT(code==1) ;
 
  // Case without range is trivial: p.d.f is by construction normalized
  if (!rangeName) {
    return 1.0 ;
  }
 
  // Case with ranges, calculate integral explicitly
  Double_t xmin = _x.min(rangeName) ;
  Double_t xmax = _x.max(rangeName) ;
 
  Double_t sum=0 ;
  Int_t i ;
  for (i=1 ; i<=_nBins ; i++) {
    Double_t binVal = (i<_nBins) ? (static_cast<RooRealVar*>(_coefList.at(i-1))->getVal()) : lastBinValue() ;
    if (_limits[i-1]>=xmin && _limits[i]<=xmax) {
      // Bin fully in the integration domain
      sum += (_limits[i]-_limits[i-1])*binVal ;
    } else if (_limits[i-1]<xmin && _limits[i]>xmax) {
      // Domain is fully contained in this bin
      sum += (xmax-xmin)*binVal ;
      // Exit here, this is the last bin to be processed by construction
      return sum ;
    } else if (_limits[i-1]<xmin && _limits[i]<=xmax && _limits[i]>xmin) {
      // Lower domain boundary is in bin
      sum +=  (_limits[i]-xmin)*binVal ;
    } else if (_limits[i-1]>=xmin && _limits[i]>xmax && _limits[i-1]<xmax) {
      sum +=  (xmax-_limits[i-1])*binVal ;
      // Upper domain boundary is in bin
      // Exit here, this is the last bin to be processed by construction
      return sum ;
    }
  }
 
  return sum;
}
 
////////////////////////////////////////////////////////////////////////////////
 
Double_t RooParametricStepFunction::lastBinValue() const
{
  Double_t sum(0.);
  Double_t binSize(0.);
  for (Int_t j=1;j<_nBins;j++){
    RooRealVar* tmp = (RooRealVar*) _coefList.at(j-1);
    binSize = _limits[j] - _limits[j-1];
    sum = sum + tmp->getVal()*binSize;
  }
  binSize = _limits[_nBins] - _limits[_nBins-1];
  return (1.0 - sum)/binSize;
}
 
////////////////////////////////////////////////////////////////////////////////
 
Double_t RooParametricStepFunction::evaluate() const
{
  Double_t value(0.);
  if (_x >= _limits[0] && _x < _limits[_nBins]){
 
    for (Int_t i=1;i<=_nBins;i++){
      if (_x < _limits[i]){
   // in Bin i-1 (starting with Bin 0)
   if (i<_nBins) {
     // not in last Bin
     RooRealVar* tmp = (RooRealVar*) _coefList.at(i-1);
     value =  tmp->getVal();
     break;
   } else {
     // in last Bin
     Double_t sum(0.);
     Double_t binSize(0.);
     for (Int_t j=1;j<_nBins;j++){
       RooRealVar* tmp = (RooRealVar*) _coefList.at(j-1);
       binSize = _limits[j] - _limits[j-1];
       sum = sum + tmp->getVal()*binSize;
     }
     binSize = _limits[_nBins] - _limits[_nBins-1];
     value = (1.0 - sum)/binSize;
     if (value<=0.0){
       value = 0.000001;
       //       cout << "RooParametricStepFunction: sum of values gt 1.0 -- beware!!" <<endl;
     }
     break;
   }
      }
    }
 
  }
  return value;
 
}
 
////////////////////////////////////////////////////////////////////////////////
 
Int_t RooParametricStepFunction::getnBins(){
  return _nBins;
}
 
////////////////////////////////////////////////////////////////////////////////
 
Double_t* RooParametricStepFunction::getLimits(){
  Double_t* limoutput = _limits.GetArray();
  return limoutput;
}