2025AJ....169..254A

Query : 2025AJ....169..254A

2025AJ....169..254A - Astron. J., 169, 254 (2025/May-0)

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

ADAM A., STONE C., BOTTRELL C., LEGIN R., HEZAVEH Y. and PERREAULT-LEVASSEUR L.

Abstract (from CDS):

Examining the detailed structure of galaxy populations provides valuable insights into their formation and evolution mechanisms. Significant barriers to such analysis are the nontrivial noise properties of real astronomical images and the point-spread function, 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 Hubble Space Telescope data, recovers structures which have otherwise only become visible in next-generation James Webb Space Telescope imaging.

Abstract Copyright: © 2025. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Convolutional neural networks - Nonparametric inference - Deconvolution - Spiral galaxies

Simbad objects: 4

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Number of rows : 4
N Identifier Otype ICRS (J2000)
RA 		ICRS (J2000)
DEC 		Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026 		#notes
1 SMACS J0723.3-7327 ClG 07 23 13.3 -73 27 25           ~ 252 0
2 COSMOS2015 775084 G 09 57 46.88 +02 28 22.9 23.28 22.99 22.04 21.713 21.387 ~ 4 0
3 COSMOS2015 773794 G 09 57 49.11 +02 28 19.6 23.79 23.66 22.96 22.53 22.16 ~ 5 0
4 NAME COSMOS Field reg 10 00 28.60 +02 12 21.0           ~ 3639 0

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