Posterior samples of source galaxies in strong gravitational lenses with score-based priors. (arXiv:2211.03812v1 [astro-ph.IM])

Inferring accurate posteriors for high-dimensional representations of the
brightness of gravitationally-lensed sources is a major challenge, in part due
to the difficulties of accurately quantifying the priors. Here, we report the
use of a score-based model to encode the prior for the inference of undistorted
images of background galaxies. This model is trained on a set of
high-resolution images of undistorted galaxies. By adding the likelihood score
to the prior score and using a reverse-time stochastic differential equation
solver, we …

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