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

• URL: http://arxiv.org/abs/2311.18002v1
• Date: Wed, 29 Nov 2023 19:00:03 GMT
• Title: Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors
• Authors: Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh and Laurence Perreault-Levasseur
• Abstract summary: 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 emphHubble Space Telescope (emphHST) data, recovers structures which have otherwise only become visible in next-generation emphJames Webb Space Telescope (emphJWST) imaging.
• Score: 39.58317527488534
• License: http://creativecommons.org/licenses/by/4.0/
• 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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