Satellite galaxy abundance dependency on cosmology in Magneticum simulations
Antonio Ragagnin, Alessandra Fumagalli, Tiago Castro, Klaus Dolag,, Alexandro Saro, Matteo Costanzi, Sebastian Bocquet

TL;DR
This study develops an emulator to analyze how cosmological parameters influence satellite galaxy abundance in simulations, revealing dependencies that are crucial for accurate modeling of galaxy clusters and their satellite populations.
Contribution
We created a Gaussian Process Regression emulator based on Magneticum simulations to quantify the impact of cosmology on satellite galaxy abundance, highlighting the importance of including these dependencies in models.
Findings
Satellite abundance parameters depend weakly on cosmology, especially on a_m and a_b.
Differences in satellite abundance dependencies are observed between full-physics, dark-matter only, and non-radiative simulations.
Modeling satellite galaxy occupation with cosmological parameters improves interpretation of observational data.
Abstract
Context: Modelling satellite galaxy abundance in Galaxy Clusters (GCs) is a key element in modelling the Halo Occupation Distribution (HOD), which itself is a powerful tool to connect observational studies with numerical simulations. Aims: To study the impact of cosmological parameters on satellite abundance both in cosmological simulations and in mock observations. Methods: We build an emulator (HODEmu, \url{https://github.com/aragagnin/HODEmu/}) of satellite abundance based on cosmological parameters and redshift We train our emulator using \magneticum hydrodynamic simulations that span 15 different cosmologies, each over redshift slices between and for each setup we fit normalisation , log-slope and Gaussian fractional-scatter of the relation. The emulator is based on multi-variate output…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Cosmology and Gravitation Theories
MethodsGaussian Process
