Constraining Cosmology with Machine Learning and Galaxy Clustering: The CAMELS-SAM Suite

As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine-learning tools that analyze big astronomical data. Neural networks are powerful and capable of probing deep patterns in data, but they must be trained carefully on...

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Autors principals:	Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro, Rachel S. Somerville, Austen Gabrielpillai, Daniel Anglés-Alcázar, Benjamin D. Wandelt, L. Y. Aaron Yung
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2023-01-01
Col·lecció:	The Astrophysical Journal
Matèries:	Large-scale structure of the Universe Neural networks Cosmological parameters from large-scale structure N-body simulations Galaxy formation
Accés en línia:	https://doi.org/10.3847/1538-4357/accd52
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