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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Hlavní autoři:	Sampaio V. M., Jaffé Y., Lima-Dias C., Véliz Astudillo S., Martínez-Marín M., Méndez-Hernández H., Herrera-Camus R., Monachesi A.
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	EDP Sciences 2026-05-01
Edice:	Astronomy & Astrophysics
Témata:	galaxies: elliptical and lenticular, cd galaxies: general galaxies: spiral galaxies: structure
On-line přístup:	https://www.aanda.org/articles/aa/full_html/2026/05/aa58260-25/aa58260-25.html
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