likelihood_marginalized_visibility_amplitude Class Reference
Defines a class that constructs a marginalized visibility amplitude likelihood object. More...
#include "likelihood/likelihood_marginalized_visibility_amplitude.h"
Inheritance diagram for likelihood_marginalized_visibility_amplitude:
Collaboration diagram for likelihood_marginalized_visibility_amplitude:
Public Member Functions | |
| likelihood_marginalized_visibility_amplitude (data_visibility_amplitude &data, model_visibility_amplitude &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 double | get_disk_intensity_normalization () |
| This functions gets the marginalized visbility amplitude \( V_{00}^{M} \). | |
| 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_visibility_amplitude & | _data |
| model_visibility_amplitude & | _model |
| double | _V00M |
Additional Inherited Members | |
| Protected Attributes inherited from likelihood_base | |
| MPI_Comm | _comm |
Detailed Description
This class takes a visibility amplitude data object and a visibility amplitude model object, and then returns the marginalized log likelihood to account for an unknown flux normalization present at each observational epoch and for which a flat prior is used. It's assumed that the observational data has Gaussian errors.
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: