ELVES IV: The Satellite Stellar-to-Halo Mass Relation Beyond the Milky-Way
Shany Danieli, Jenny E. Greene, Scott Carlsten, Fangzhou Jiang,, Rachael Beaton, and Andy D. Goulding

TL;DR
This study uses a large sample of Local Volume satellite galaxies and semi-analytical modeling to better understand the stellar-to-halo mass relation for satellite galaxies, extending previous Milky Way-based analyses.
Contribution
It provides new constraints on the satellite stellar-to-halo mass relation using the largest Local Volume satellite sample and Bayesian model comparison, confirming previous Milky Way findings.
Findings
Best-fit relation: $M_\star \propto M_{\mathrm{peak}}^{2.10}$ with low scatter
Steeper slope model also consistent but not necessary
Satellite stellar-to-halo mass relation aligns with Milky Way results
Abstract
Quantifying the connection between galaxies and their host dark matter halos has been key for testing cosmological models on various scales. Below , such studies have primarily relied on the satellite galaxy population orbiting the Milky Way. Here we present new constraints on the connection between satellite galaxies and their host dark matter subhalos using the largest sample of satellite galaxies in the Local Volume () to date. We use confirmed and candidate dwarf satellites around 27 Milky Way (MW)-like hosts from the Exploration of Local VolumE Satellites (ELVES) Survey and use the semi-analytical SatGen model for predicting the population of dark matter subhalos expected in the same volume. Through a Bayesian model comparison of the observed and the forward-modeled satellite stellar mass functions (SSMF), we infer…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
