On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm

On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm

Recent analyses of cosmological hydrodynamic simulations from CAMELS have shown that machine learning models can predict the parameter describing the total matter content of the universe, Ω _m , from the features of a single galaxy. We investigate the statistical properties of two of these simulatio...

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Bibliographic Details
Main Authors: Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Cosmological parameters
Galaxy properties
Astrostatitics
Online Access:https://doi.org/10.3847/1538-4357/addd08
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