autolens.Interferometer#

class autolens.Interferometer(visibilities: ~autoarray.structures.visibilities.Visibilities, noise_map: ~autoarray.structures.visibilities.VisibilitiesNoiseMap, uv_wavelengths: ~numpy.ndarray, real_space_mask, settings: ~autoarray.dataset.interferometer.settings.SettingsInterferometer = <autoarray.dataset.interferometer.settings.SettingsInterferometer object>)[source]#
__init__(visibilities: ~autoarray.structures.visibilities.Visibilities, noise_map: ~autoarray.structures.visibilities.VisibilitiesNoiseMap, uv_wavelengths: ~numpy.ndarray, real_space_mask, settings: ~autoarray.dataset.interferometer.settings.SettingsInterferometer = <autoarray.dataset.interferometer.settings.SettingsInterferometer object>)[source]#

A collection of abstract data structures for different types of data (an image, pixel-scale, noise-map, etc.)

Parameters
  • dataucture – The array of the image data, in units of electrons per second.

  • noise_mapucture – An array describing the RMS standard deviation error in each pixel, preferably in units of electrons per second.

Methods

__init__(visibilities, noise_map, ...[, ...])

A collection of abstract data structures for different types of data (an image, pixel-scale, noise-map, etc.)

apply_settings(settings)

from_fits(visibilities_path, noise_map_path, ...)

Factory for loading the interferometer data_type from .fits files, as well as computing properties like the noise-map, exposure-time map, etc.

output_to_fits([visibilities_path, ...])

trimmed_after_convolution_from(kernel_shape)

Attributes

absolute_signal_to_noise_map

The estimated absolute_signal-to-noise_maps mappers of the image.

absolute_signal_to_noise_max

The maximum value of absolute signal-to-noise_map in an image pixel in the image's signal-to-noise_maps mappers.

amplitudes

blurring_grid

convolver

dirty_image

dirty_inverse_noise_map

dirty_noise_map

dirty_signal_to_noise_map

inverse_noise_map

mask

noise_covariance_matrix_inv

A property that is only computed once per instance and then replaces itself with an ordinary attribute.

phases

pixel_scales

potential_chi_squared_map

The potential chi-squared-map of the imaging data_type.

potential_chi_squared_max

The maximum value of the potential chi-squared-map.

shape_native

shape_slim

signal_to_noise_map

The estimated signal-to-noise_maps mappers of the image.

signal_to_noise_max

The maximum value of signal-to-noise_maps in an image pixel in the image's signal-to-noise_maps mappers.

uv_distances

visibilities

w_tilde

A property that is only computed once per instance and then replaces itself with an ordinary attribute.