Morphologies for DECaLS galaxies through a combination of nonparametric indices and machine learning methods

Context. Galaxy morphology encodes key information about formation and evolution. Large imaging surveys require automated, reproducible methods beyond visual inspection. Nonparametric indices provide a useful framework, but their performance must be quantitatively assessed. Aims. We present a homoge...

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Autors principals:	Sampaio V. M., Jaffé Y., Lima-Dias C., Véliz Astudillo S., Martínez-Marín M., Méndez-Hernández H., Herrera-Camus R., Monachesi A.
Format:	Artigo
Idioma:	Inglês
Publicat:	EDP Sciences 2026-05-01
Col·lecció:	Astronomy & Astrophysics
Matèries:	galaxies: elliptical and lenticular, cd galaxies: general galaxies: spiral galaxies: structure
Accés en línia:	https://www.aanda.org/articles/aa/full_html/2026/05/aa58260-25/aa58260-25.html
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