autolens.Imaging#

class autolens.Imaging(image: autoarray.structures.arrays.uniform_2d.Array2D, noise_map: autoarray.structures.arrays.uniform_2d.Array2D, psf: Optional[autoarray.structures.arrays.kernel_2d.Kernel2D] = None, settings=<autoarray.dataset.imaging.SettingsImaging object>, name: Optional[str] = None, pad_for_convolver=False)[source]#

__init__(image: autoarray.structures.arrays.uniform_2d.Array2D, noise_map: autoarray.structures.arrays.uniform_2d.Array2D, psf: Optional[autoarray.structures.arrays.kernel_2d.Kernel2D] = None, settings=<autoarray.dataset.imaging.SettingsImaging object>, name: Optional[str] = None, pad_for_convolver=False)[source]#

A class containing the data, noise-map and point spread function of a 2D imaging dataset.

Parameters

image – The array of the image data, in units of electrons per second.
noise_map – An array describing the RMS standard deviation error in each pixel in units of electrons per second.
psf – An array describing the Point Spread Function kernel of the image.
settings – Controls settings of how the dataset is set up (e.g. the types of grids used to perform calculations).

Methods

`__init__`(image, noise_map[, psf, settings, …])	A class containing the data, noise-map and point spread function of a 2D imaging dataset.
`apply_mask`(mask)	Apply a mask to the imaging dataset, whereby the mask is applied to the image data and noise-map one-by-one.
`apply_settings`(settings)	Returns a new instance of the imaging with the input SettingsImaging applied to them.
`from_fits`(image_path, pixel_scales, …[, …])	Factory for loading the imaging 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`(image_path[, psf_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.
`blurring_grid`	A property that is only computed once per instance and then replaces itself with an ordinary attribute.
`convolver`	A property that is only computed once per instance and then replaces itself with an ordinary attribute.
`image`
`inverse_noise_map`
`mask`
`name`
`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.
`psf`
`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.
`w_tilde`	A property that is only computed once per instance and then replaces itself with an ordinary attribute.