Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors

Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh +1 more
11/29/2023
astro-ph.IMcs.CV

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Abstract

Examining the detailed structure of galaxy populations provides valuable insights into their formation and evolution mechanisms. Significant barriers to such analysis are the non-trivial noise properties of real astronomical images and the point spread function (PSF) which blurs structure. Here we present a framework which combines recent advances in score-based likelihood characterization and diffusion model priors to perform a Bayesian analysis of image deconvolution. The method, when applied to minimally processed \emph{Hubble Space Telescope} (\emph{HST}) data, recovers structures which have otherwise only become visible in next-generation \emph{James Webb Space Telescope} (\emph{JWST}) imaging.

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Cite this paper

@article{adam2023echoes,
  title  = {Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors},
  author = {Alexandre Adam and Connor Stone and Connor Bottrell and Ronan Legin and Yashar Hezaveh and Laurence Perreault-Levasseur},
  year   = {2023},
  eprint = {2311.18002},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.18002v1}
}

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