Can cosmological simulations capture the diverse satellite populations of observed Milky Way analogues?
Andreea S. Font, Ian G. McCarthy, Vasily Belokurov

TL;DR
This study demonstrates that LCDM-based cosmological hydrodynamical simulations can accurately reproduce the observed diversity and mean trends of satellite galaxy populations around Milky Way analogues, aligning well with recent observational surveys.
Contribution
It shows that simulations can match observed satellite luminosity and distribution diversity when observational selection effects are included, challenging previous claims of discrepancies.
Findings
Simulations successfully reproduce observed satellite luminosity functions.
Radial distribution diversity is partly determined by dark matter halo concentration.
Stochasticity dominates scatter in satellite radial distributions at fixed halo mass.
Abstract
The recent advent of deep observational surveys of local Milky Way `analogues' and their satellite populations allows us to place the Milky Way in a broader cosmological context and to test models of galaxy formation on small scales. In the present study, we use the LCDM-based ARTEMIS suite of cosmological hydrodynamical simulations containing 45 Milky Way analogue host haloes to make comparisons to the observed satellite luminosity functions, radial distribution functions, and abundance scaling relations from the recent Local Volume and SAGA observational surveys, in addition to the Milky Way and M31. We find that, contrary to some previous claims, LCDM-based simulations can successfully and simultaneously capture the mean trends and the diversity in both the observed luminosity and radial distribution functions of Milky Way analogues once important observational selection criteria are…
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