///////////////////////////////////////////////////////////////////////
//
// Simple direction likelihood method
//
// Author: Ian Coulter <icoulter@hep.upenn.edu> --contact person
//
// REVISION HISTORY:
//     - 26/04/2011 : I Coulter - New file
//     - 10/09/2013 : K Majumdar - Adding in ability to do asymmetric
//        errors and errors in Spherical coordinates
//     - 2014-12-09 : P G Jones - Allow chained PMTSelectors
//
// The direction likelihood method uses a maximum likelihood method
// to fit the direction of an event. Its designed for use with
// a PDF to which it provides a seed vertex which is then optimised
// according to the criterea in the PDF, e.g. angular distribution of
///the PMT hits. It then returns an fit vertex with direction, errors
// and a validity.
// Requires Seeding, optimising and a pdf
//
///////////////////////////////////////////////////////////////////////

#ifndef __RAT_Method_DirectionLikelihood_
#define __RAT_Method_DirectionLikelihood_

#include <string>
#include <stdexcept>

#include <RAT/OptimisedMethod.hh>
#include <RAT/PDFMethod.hh>
#include <RAT/SeededMethod.hh>
#include <RAT/SelectorMethod.hh>

namespace RAT
{

namespace DS
{
  class FitResult;
}

namespace Methods
{

  class DirectionLikelihood : public SeededMethod, public OptimisedMethod, public PDFMethod, public SelectorMethod
  {
    public:
      // Returns the name of the direction likelihood method
      virtual std::string GetName() const { return DirectionLikelihood::Name(); }

      // Returns the name of the direction likelihood method
      static std::string Name() { return std::string( "directionLikelihood" ); }

      // Initialises the direction likelihood method (requires no init string)
      void Initialise( const std::string& ) { }

      void BeginOfRun( DS::Run& ) { }

      void EndOfRun( DS::Run& ) { }

      // Sets the seed to the default
      void DefaultSeed();

      // Invokes the method's algorithm
      virtual DS::FitResult GetBestFit();

      // Called by the optimiser to get the starting/seed params to optimise
      virtual std::vector<double> GetParams() const;

      // Called by the optimiser to get the starting/seed errors to optimise
      virtual std::vector<double> GetPositiveErrors() const;
      virtual std::vector<double> GetNegativeErrors() const;

      // Converts the vector of params into the fFitResult
      virtual void SetParams( const std::vector<double>& params );

      // Converts the vector of errors into the fFitResult
      virtual void SetPositiveErrors( const std::vector<double>& errors );
      virtual void SetNegativeErrors( const std::vector<double>& errors );

      // Called by the optimiser to invoke the method algorithm, optimiser will pass current parameters
      virtual double operator()( const std::vector<double>& params );
  };

} //::Methods

} //::RAT

#endif