The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis

The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. This study addresses this need by demonstrating some applications of manifold learning and dimensionality reduct...

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Detalhes bibliográficos

Principais autores:	Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2024-01-01
Colecção:	The Astrophysical Journal
Assuntos:	Galaxy evolution AGN host galaxies Astronomy data analysis Astronomy data visualization Broad band photometry Spectroscopy
Acesso em linha:	https://doi.org/10.3847/1538-4357/ad90ba
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