Defines a class that constructs a flux likelihood object. More...

#include "likelihood/likelihood_flux.h"

Inheritance diagram for likelihood_flux:
Collaboration diagram for likelihood_flux:

Public Member Functions

 likelihood_flux (data_flux &data, model_flux &model)
 
virtual double operator() (std::vector< double > &x)
 Returns the log-likelihood of a vector of parameters \( \mathbf{x} \).
 
virtual double chi_squared (std::vector< double > &x)
 Returns the \( \chi^2 \) of a vector of parameters \( \mathbf{x} \).
 
virtual void set_mpi_communicator (MPI_Comm comm)
 Defines a set of processors provided to the model for parallel computation via an MPI communicator. Only facilates code parallelization if the model computation is parallelized via MPI.
 
- Public Member Functions inherited from likelihood_base
virtual std::vector< double > gradient (std::vector< double > &x, prior &Pr)
 
void output_model_data_comparison (std::ostream &out)
 
void output_model_data_comparison (std::string filename)
 

Protected Member Functions

virtual void output (std::ostream &out)
 

Private Attributes

data_flux_data
 
model_flux_model
 

Additional Inherited Members

- Protected Attributes inherited from likelihood_base
MPI_Comm _comm
 

Detailed Description

This class takes a flux data object and a flux model object, and then returns the log likelihood by direct comparison of the model predictions to the observational data assuming that the measured visibility amplitudes have Gaussian errors.

This class also includes an utility function for computing the \( \chi^2 \) to assess fitquality

Member Function Documentation

void output ( std::ostream &  out)
protectedvirtual

Outputs the data and model, as modified by the likelihood appropriately, to the specified output stream. Useful for comparison later.

Reimplemented from likelihood_base.

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The documentation for this class was generated from the following files: