def make_masked_interferometer_fit_x2_plane_inversion_7x7(
masked_interferometer_7, tracer_x2_plane_inversion_7x7
):
return InterferometerFit(
masked_interferometer=masked_interferometer_7,
tracer=tracer_x2_plane_inversion_7x7,
)
def test__fit_figure_of_merit__includes_hyper_image_and_noise__matches_fit(
self, interferometer_7, mask_7x7, visibilities_mask_7x2
):
hyper_background_noise = al.hyper_data.HyperBackgroundNoise(noise_scale=1.0)
lens_galaxy = al.Galaxy(
redshift=0.5, light=al.lp.EllipticalSersic(intensity=0.1)
)
phase_interferometer_7 = al.PhaseInterferometer(
real_space_mask=mask_7x7,
galaxies=[lens_galaxy],
hyper_background_noise=hyper_background_noise,
cosmology=cosmo.FLRW,
sub_size=4,
phase_name="test_phase",
)
analysis = phase_interferometer_7.make_analysis(
dataset=interferometer_7, mask=visibilities_mask_7x2
)
instance = phase_interferometer_7.model.instance_from_unit_vector([])
fit_figure_of_merit = analysis.fit(instance=instance)
real_space_mask = phase_interferometer_7.meta_dataset.mask_with_phase_sub_size_from_mask(
mask=mask_7x7
)
assert real_space_mask.sub_size == 4
masked_interferometer = al.masked_interferometer(
interferometer=interferometer_7,
visibilities_mask=visibilities_mask_7x2,
real_space_mask=real_space_mask,
)
tracer = analysis.tracer_for_instance(instance=instance)
fit = InterferometerFit(
masked_interferometer=masked_interferometer,
tracer=tracer,
hyper_background_noise=hyper_background_noise,
)
assert fit.likelihood == fit_figure_of_merit
def make_masked_interferometer_fit_x1_plane_7x7(
masked_interferometer_7, tracer_x1_plane_7x7
):
return InterferometerFit(
masked_interferometer=masked_interferometer_7, tracer=tracer_x1_plane_7x7
)