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astro-ph.IM2024
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy
Florian Wolf, Florian List, Nicholas L. Rodd +1
Astronomical observations typically provide three-dimensional maps, encoding the distribution of the observed flux in (1) the two angles of the celestial sphere and (2) energy/freq…
astro-ph.IM2021★ 13 cited
A Compound Poisson Generator approach to Point-Source Inference in Astrophysics
Gabriel H. Collin, Nicholas L. Rodd, Tyler Erjavec +1
The identification and description of point sources is one of the oldest problems in astronomy; yet, even today the correct statistical treatment for point sources remains one of t…