Toward Robustness across Cosmological Simulation Models IllustrisTNG, SIMBA, Astrid, and Swift-Eagle

The rapid advancement of large-scale cosmological simulations has opened new avenues for cosmological and astrophysical research. However, the increasing diversity among cosmological simulation models presents a challenge to the robustness . In this work, we develop the Model-Insensitive ESTimator (...

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Detalhes bibliográficos

Principais autores:	Yongseok Jo, Shy Genel, Anirvan Sengupta, Benjamin Wandelt, Rachel Somerville, Francisco Villaescusa-Navarro
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2025-01-01
coleção:	The Astrophysical Journal
Assuntos:	Cosmological parameters from large-scale structure Cosmological parameters Hydrodynamical simulations Convolutional neural networks Robust regression Galaxy evolution
Acesso em linha:	https://doi.org/10.3847/1538-4357/adec78
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