autolens.PointDataset#

class PointDataset[source]#

Bases: object

A collection of the data component that can be used for point-source model-fitting, for example fitting the observed positions of a a strongly lensed quasar or supernovae or in strong lens cluster modeling, where there may be many tens or hundreds of individual source galaxies each of which are modeled as a point source.

The name of the dataset is required for point-source model-fitting, as it pairs a point-source dataset with its corresponding point-source in the model-fit. For example, if a dataset has the name source_1, it will be paired with the Point model-component which has the name source_1. If a dataset component is not successfully paired with a model-component, an error is raised.

Parameters:

name (str) – The name of the point source dataset which is paired to a Point in the Model.
positions (Union[Grid2DIrregular, List[List], List[Tuple]]) – The image-plane (y,x) positions of the point-source.
positions_noise_map (Union[ArrayIrregular, List[float]]) – The noise-value of every (y,x) position, which is typically the pixel-scale of the data.
fluxes (Union[ArrayIrregular, List[float], None]) – The image-plane flux of each observed point-source of light.
fluxes_noise_map (Union[ArrayIrregular, List[float], None]) – The noise-value of every observed flux.

Methods

from_dict

Create a point source dataset from a dictionary representation.

Attributes

dict

A dictionary representation of this instance.

property dict: dict#

A dictionary representation of this instance.

Arrays are represented as lists or lists of lists.

Return type:: dict

classmethod from_dict(dict_)[source]#

Create a point source dataset from a dictionary representation.

Parameters:: dict – A dictionary. Arrays are represented as lists or lists of lists.
Return type:: An instance