modelToHeavy

lsst.meas.extensions.scarlet.modelToHeavy(source, filters, xy0=Point2I(0, 0), observation=None, dtype=<class 'numpy.float32'>)

Convert the model to a MultibandFootprint

Parameters:

source : scarlet.Component

The source to convert to a HeavyFootprint.

filters : iterable

A “list” of names for each filter.

xy0 : lsst.geom.Point2I

(x,y) coordinates of the bounding box containing the HeavyFootprint. If observation is not None then this parameter is updated with the position of the new model

observation : scarlet.Observation

The scarlet observation, used to convolve the image with the origin PSF. If observation` is None then the HeavyFootprint will exist in the model frame.

dtype : numpy.dtype

The data type for the returned HeavyFootprint.

Returns:

mHeavy : lsst.detection.MultibandFootprint

The multi-band footprint containing the model for the source.