VavilovAccurateCdf.h

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// @(#)root/mathmore:$Id$
// Authors: B. List 29.4.2010
 
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  * Copyright (c) 2004 ROOT Foundation,  CERN/PH-SFT                   *
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// Header file for class VavilovAccurateCdf
//
// Created by: blist  at Thu Apr 29 11:19:00 2010
//
// Last update: Thu Apr 29 11:19:00 2010
//
#ifndef ROOT_Math_VavilovAccurateCdf
#define ROOT_Math_VavilovAccurateCdf
 
#include "Math/IParamFunction.h"
#include "Math/VavilovAccurate.h"
 
#include <string>
 
namespace ROOT {
namespace Math {
 
//____________________________________________________________________________
/**
   Class describing the Vavilov cdf.
 
   The probability density function of the Vavilov distribution
   is given by:
  \f[ p(\lambda; \kappa, \beta^2) =
  \frac{1}{2 \pi i}\int_{c-i\infty}^{c+i\infty} \phi(s) e^{\lambda s} ds\f]
   where \f$\phi(s) = e^{C} e^{\psi(s)}\f$
   with  \f$ C = \kappa (1+\beta^2 \gamma )\f$
   and \f[\psi(s) = s \ln \kappa + (s+\beta^2 \kappa)
               \cdot \left ( \int \limits_{0}^{1}
               \frac{1 - e^{\frac{-st}{\kappa}}}{t} \, dt - \gamma \right )
               - \kappa \, e^{\frac{-s}{\kappa}}\f].
   \f$ \gamma = 0.5772156649\dots\f$ is Euler's constant.
 
   The parameters are:
   - 0: Norm: Normalization constant
   - 1: x0:   Location parameter
   - 2: xi:   Width parameter
   - 3: kappa: Parameter \f$\kappa\f$ of the Vavilov distribution
   - 4: beta2: Parameter \f$\beta^2\f$ of the Vavilov distribution
 
   Benno List, June 2010
 
 
   @ingroup StatFunc
 */
 
 
class VavilovAccurateCdf: public IParametricFunctionOneDim {
   public:
 
      /**
         Default constructor
      */
      VavilovAccurateCdf();
 
      /**
         Constructor with parameter values
         @param p vector of doubles containing the parameter values (Norm, x0, xi, kappa, beta2).
      */
      VavilovAccurateCdf(const double *p);
 
      /**
         Destructor
      */
      ~VavilovAccurateCdf () override;
 
      /**
         Access the parameter values
      */
      const double * Parameters() const override;
 
      /**
         Set the parameter values
         @param p vector of doubles containing the parameter values (Norm, x0, xi, kappa, beta2).
 
      */
      void SetParameters(const double * p ) override;
 
      /**
         Return the number of Parameters
      */
      unsigned int NPar() const override;
 
      /**
         Return the name of the i-th parameter (starting from zero)
         Overwrite if want to avoid the default name ("Par_0, Par_1, ...")
       */
      std::string ParameterName(unsigned int i) const override;
 
      /**
         Evaluate the function
 
       @param x The Landau parameter \f$x = \lambda_L\f$
 
       */
      double DoEval(double x) const override;
 
      /**
         Evaluate the function, using parameters p
 
       @param x The Landau parameter \f$x = \lambda_L\f$
         @param p vector of doubles containing the parameter values (Norm, x0, xi, kappa, beta2).
       */
      double DoEvalPar(double x, const double * p) const override;
 
      /**
         Return a clone of the object
       */
      IBaseFunctionOneDim  * Clone() const override;
 
   private:
     double fP[5];
 
};
 
 
} // namespace Math
} // namespace ROOT
 
#endif /* ROOT_Math_VavilovAccurateCdf */