Robust machine learning model of inferring the ex situ stellar fraction of galaxies from photometric data
We searched for the parameters defined from photometric images to quantify the ex situ stellar mass fraction of galaxies. We created mock images using galaxies in the cosmological hydrodynamical simulations TNG100, EAGLE, and TNG50 at redshift z = 0. We defined a series of parameters describing their structures, including the absolute magnitude in
Cai, Runsheng et al.
Fecha de publicación:
3
2025