likelihood_flux Class Reference
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
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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:
- likelihood/likelihood_flux.h
- likelihood/likelihood_flux.cpp