modelToHeavy

lsst.meas.extensions.scarlet.modelToHeavy(source, mExposure, blend, xy0=Point2I(0, 0), dtype=<class 'numpy.float32'>)

Convert a scarlet model to a MultibandFootprint.

Parameters:

sourcescarlet.Source

The source to convert to a HeavyFootprint.

mExposurelsst.image.MultibandExposure

The multiband exposure containing the image, mask, and variance data.

blendscarlet.Blend

The Blend object that contains information about the observation, PSF, etc, used to convolve the scarlet model to the observed seeing in each band.

xy0lsst.geom.Point2I

(x,y) coordinates of the lower-left pixel of the entire blend.

dtypenumpy.dtype

The data type for the returned HeavyFootprint.

Returns:

mHeavylsst.detection.MultibandFootprint

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