2 papers
astro-ph.IM2020
A comparative analysis of denoising algorithms for extragalactic imaging surveys
V. Roscani, S. Tozza, M. Castellano +4
We present a comprehensive analysis of the performance of noise-reduction (``denoising'') algorithms to determine whether they provide advantages in source detection on extragalact…
astro-ph.GA2019
Photometry of high-redshift blended galaxies using deep learning
Alexandre Boucaud, Marc Huertas-Company, Caroline Heneka +11
The new generation of deep photometric surveys requires unprecedentedly precise shape and photometry measurements of billions of galaxies to achieve their main science goals. At su…