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.SettingsInterferometer object>, name=None)[source]#
__init__(visibilities: autoarray.structures.visibilities.Visibilities, noise_map: autoarray.structures.visibilities.VisibilitiesNoiseMap, uv_wavelengths: numpy.ndarray, real_space_mask, settings=<autoarray.dataset.interferometer.SettingsInterferometer object>, name=None)[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.

load(filename)

Load the dataset at the specified filename

output_to_fits([visibilities_path, …])

signal_to_noise_limited_from(…[, mask])

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

dirty_image

dirty_inverse_noise_map

dirty_noise_map

dirty_signal_to_noise_map

inverse_noise_map

mask

name

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.