autolens.SettingsImaging#
- class SettingsImaging[source]#
Bases:
AbstractSettingsDatasetThe lens dataset is the collection of data_type (image, noise-map, PSF), a mask, grid, convolver and other utilities that are used for modeling and fitting an image of a strong lens.
Whilst the image, noise-map, etc. are loaded in 2D, the lens dataset creates reduced 1D arrays of each for lens calculations.
- Parameters:
grid_class (ag.Grid2D) – The type of grid used to create the image from the Galaxy and Plane. The options are Grid2D, and Grid2DIterate (see the Grid2D documentation for a description of these options).
grid_pixelization_class (ag.Grid2D) – The type of grid used to create the grid that maps the Inversion source pixels to the data’s image-pixels. The options are Grid2D and Grid2DIterate. (see the Grid2D documentation for a description of these options).
sub_size (
int) – If the grid and / or grid_pixelization use a Grid2D, this sets the sub-size used by the Grid2D.fractional_accuracy (
float) – If the grid and / or grid_pixelization use a Grid2DIterate, this sets the fractional accuracy it uses when evaluating functions, where the fraction accuracy is the ratio of the values computed using two grids at a higher and lower sub-grid size.relative_accuracy (
Optional[float]) – If the grid and / or grid_pixelization use a Grid2DIterate, this sets the relative accuracy it uses when evaluating functions, where the relative accuracy is the absolute difference of the values computed using two grids at a higher and lower sub-grid size.sub_steps ([int]) – If the grid and / or grid_pixelization use a Grid2DIterate, this sets the steps the sub-size is increased by to meet the fractional accuracy when evaluating functions.
psf_shape_2d – The shape of the PSF used for convolving model image generated using analytic light profiles. A smaller shape will trim the PSF relative to the input image PSF, giving a faster analysis run-time.
Methods