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// Copyright University of Warwick 2008 - 2013.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
// Authors:
// Thomas Latham
// John Back
// Paul Harrison
/*! \file LauParametricStepFuncPdf.hh
\brief File containing declaration of LauParametricStepFuncPdf class.
*/
/*! \class LauParametricStepFuncPdf
\brief Class for defining a Parametric Step Function PDF.
Class that allows the user to define a Parametric Step Function PDF.
Code mostly copied from RooFit/RooParametricStepFunction.
*/
/*****************************************************************************
* Class based on RooFit/RooParametricStepFunction. *
* Original copyright given below. *
*****************************************************************************
* 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 LAU_PAR_STEP_FUNC_PDF
#define LAU_PAR_STEP_FUNC_PDF
#include <vector>
#include "TString.h"
#include "LauAbsPdf.hh"
class LauParameter;
class LauParametricStepFuncPdf : public LauAbsPdf {
public:
//! Define the allowed options for the normalisation bin
enum NormBin {
First, /*!< The height of the first bin is determined from the rest to satisfy the normalisation */
Last /*!< The height of the last bin is determined from the rest to satisfy the normalisation */
};
//! Constructor
/*!
\param [in] theVarName the name of the abscissa variable
\param [in] params the bin contents of all the but the normalisation bin, so (N_bins - 1 entries)
\param [in] limits the limits of the bins (lower limit of all bins and upper limit of the last), so (N_bins + 1) entries
\param [in] normalisationBin the normalisation bin
*/
LauParametricStepFuncPdf(const TString& theVarName, const std::vector<LauAbsRValue*>& params, const std::vector<Double_t>& limits, NormBin normalisationBin = Last);
//! Destructor
virtual ~LauParametricStepFuncPdf();
//! Copy constructor
LauParametricStepFuncPdf(const LauParametricStepFuncPdf& other);
//! Calculate the likelihood (and intermediate info) for a given abscissa
/*!
\param [in] abscissas the values of the abscissa(s)
*/
virtual void calcLikelihoodInfo(const LauAbscissas& abscissas);
using LauAbsPdf::calcLikelihoodInfo;
//! Calculate the normalisation
virtual void calcNorm();
//! Calculate the PDF height
/*!
\param [in] kinematics the current DP kinematics
*/
virtual void calcPDFHeight( const LauKinematics* kinematics );
protected:
//! Number of bins
/*!
\return the number of bins
*/
UInt_t nBins() const {return limits_.size()-1;}
//! Normalisation bin
/*!
\return the normalisation bin
*/
NormBin normBin() const {return normBin_;}
private:
//! normalisation bin
NormBin normBin_;
//! limits of the bins
std::vector<Double_t> limits_;
ClassDef(LauParametricStepFuncPdf,0) // Define the PSF PDF
};
#endif

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