75 citations · 75 across the 2 of their papers we have counts for
2 papers
astro-ph.GA2025
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
G. Aguilar-Argüello, G. Fuentes-Pineda, H. M. Hernández-Toledo +9
We employ the XGBoost machine learning (ML) method for the morphological classification of galaxies into two (early-type, late-type) and five (E, S0--S0a, Sa--Sb, Sbc--Scd, Sd--Irr…
astro-ph.GA2022★ 75 cited
Preparing for low surface brightness science with the Vera C. Rubin Observatory: characterisation of tidal features from mock images
G. Martin, A. E. Bazkiaei, M. Spavone +50
Tidal features in the outskirts of galaxies yield unique information about their past interactions and are a key prediction of the hierarchical structure formation paradigm. The Ve…