__init__(self, Sequence[Source] sources, Observation observation) (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |
_grad_log_likelihood(self) | lsst.scarlet.lite.blend.Blend | protected |
bbox (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |
bbox(self) | lsst.scarlet.lite.blend.Blend | |
components(self) | lsst.scarlet.lite.blend.Blend | |
conserve_flux(self, bool mask_footprint=True) | lsst.scarlet.lite.blend.Blend | |
fit(self, int max_iter, float e_rel=1e-4, int min_iter=15, int resize=10) | lsst.scarlet.lite.blend.Blend | |
fit_spectra(self, bool clip=False) | lsst.scarlet.lite.blend.Blend | |
get_model(self, bool convolve=False, bool use_flux=False) | lsst.scarlet.lite.blend.Blend | |
it (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |
log_likelihood(self) | lsst.scarlet.lite.blend.Blend | |
observation (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |
parameterize(self, Callable parameterization) | lsst.scarlet.lite.blend.Blend | |
shape (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |
shape(self) | lsst.scarlet.lite.blend.Blend | |
sources (defined in lsst.scarlet.lite.blend.Blend) | lsst.scarlet.lite.blend.Blend | |