Test rig for developing and testing the likelihood_small_gain_correction_visibility_amplitude class. More...

#include <mpi.h>
#include <memory>
#include <string>
#include <iostream>
#include <iomanip>
#include <vector>
#include <fstream>
#include "data_crosshand_visibilities.h"
#include "model_polarized_image_constant_polarization.h"
#include "model_image_symmetric_gaussian.h"
#include "likelihood_crosshand_visibilities.h"
#include "likelihood_optimal_complex_gain_constrained_crosshand_visibilities.h"
#include "utils.h"
#include "likelihood.h"
#include "sampler_differential_evolution_deo_tempered_MCMC.h"
#include "optimizer_kickout_powell.h"

Include dependency graph for crosshand_visibilities_tests.cpp:

Functions
int	main (int argc, char *argv[])

Detailed Description

Author: Avery E. Broderick

Date: March 2020

Runs various tests for various sets of test data to determine how well the gains can be reconstructed and mitigated in a simple parameter estimation study.

The test data set to use can be set on the command line. Options are:

1 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas without thermal noise. (DEFAULT)
2 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas without thermal noise, including constant D-term errors, randomly chosen with amplitude<=1.
3 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas without thermal noise, including constant gain errors of order 10%, assuming left and right gains are equal, with the LMT at 90%,
4 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas without thermal noise, including constant gain errors of order 10%, assuming left and right gains are independent, with the LMT at 90%,
10- ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas with thermal noise.
20 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas with thermal noise, including constant D-term errors, randomly chosen with amplitude<=1.
30 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas with thermal noise, including constant gain errors of order 10%, assuming left and right gains are equal, with the LMT at 90%,
40 ... An idealized Gaussian data set with amplitude 2.0 Jy and sigma 15 uas with thermal noise, including constant gain errors of order 10%, assuming left and right gains are independent, with the LMT at 90%,

Functions

Detailed Description