63 citations · 364 across the 28 of their papers we have counts for
Showing astro-ph.GAShow all
2 papers · 1 filter
astro-ph.GA2025★ 7 cited
Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning
Euclid Collaboration, I. Kovačić, M. Baes +287
The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…
astro-ph.GA2014★ 63 cited
CLASH-VLT: The stellar mass function and stellar mass density profile of the z=0.44 cluster of galaxies MACS J1206.2-0847
M. Annunziatella, A. Biviano, A. Mercurio +29
Context. The study of the galaxy stellar mass function (SMF) in relation to the galaxy environment and the stellar mass density profile, rho(r), is a powerful tool to constrain mod…