Defines a class that constructs a flux likelihood object.
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#include "likelihood/likelihood_matched_filter.h"
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| likelihood_matched_filter (double lreg, double treg, double I_clip, std::string image_fname, std::string READ_fname, std::string image_type) |
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virtual double | operator() (std::vector< double > &x) |
| Returns the log-likelihood of a vector of parameters \( \mathbf{x} \).
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virtual double | chi_squared (std::vector< double > &x) |
| Returns the \( \chi^2 \) of a vector of parameters \( \mathbf{x} \).
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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.
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virtual std::vector< double > | gradient (std::vector< double > &x, prior &Pr) |
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void | output_model_data_comparison (std::ostream &out) |
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void | output_model_data_comparison (std::string filename) |
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virtual void | output (std::ostream &out) |
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std::vector< std::vector< double > > | gaussian_ring_model (std::vector< double > parameters) |
| Finds the intensity (normalized so total flux is unity) of a Gaussian ring according to the images alpha and beta.
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void | GRMHD_read (std::string image_fname, std::string README_fname) |
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void | test_read () |
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void | SMILI_read (std::string image_fname, std::string README_fname) |
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void | hpu_read (std::string image_fname) |
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double | find_min_distance_square (double a, double b, double x, double y, double eps=1e-8, int nmax=20) |
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const double | _lreg |
| multiplicative factor in front of the log likelihood that controls the the specificity of the likelihood. Often lreg=1 fails to properly contrain the fit.
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const double | _treg |
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const double | _I_clip |
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std::vector< std::vector< double > > | _alpha |
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std::vector< std::vector< double > > | _beta |
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std::vector< std::vector< double > > | _I |
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Does matched filtering with a slashed Gaussian elliptical ring to extract widths position and diameters. -parameter list: parameter[0] = semi-major axis diameter in uas parameter[1] = ring width (FWHM of ring) in uas parameter[2] = ring eccentricity (-1 to 1) in uas parameter[3] = rotation angle measured from north of east (must go from 0 to 2*pi due to the branch cut I picked) parameter[4] = ring slash [0,1], where 0 is no slash and 1 means brightness drops to zero. parameter[5] = x ring center in uas parameter[6] = y ring center in uas
void output |
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std::ostream & |
out | ) |
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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.
The documentation for this class was generated from the following files: