ELVES. IV. The Satellite Stellar-to-halo Mass Relation Beyond the Milky Way
Abstract
Quantifying the connection between galaxies and their host dark matter halos has been key for testing cosmological models on various scales. Below M⋆ ∼ 109M⊙, such studies have primarily relied on the satellite galaxy population orbiting the Milky Way (MW). 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 (D ≲ 12 Mpc) to date. We use 250 confirmed and 71 candidate dwarf satellites around 27 MW-like hosts from the Exploration of Local VolumE Satellites (ELVES) Survey and use the semianalytical 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 (SSMFs), we infer the satellite stellar-to-halo mass relation. We find that the observed SSMF is best reproduced when subhalos at the low-mass end are populated by a relation of the form M⋆ ∝ M_(peak)α, with a moderate slope of α_(const) = 2.10±0.01 and a low scatter, constant as a function of the peak halo mass, of σ_(const) = 0.06−0.05+0.07. A model with a steeper slope (αgrow = 2.39 ± 0.06) and a scatter that grows with decreasing Mpeak is also consistent with the observed SSMF but is not required. Our new model for the satellite–subhalo connection, based on hundreds of Local Volume satellite galaxies, is in line with what was previously derived using only MW satellites.
Copyright and License
© 2023. The Author(s). Published by the American Astronomical Society.
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank Andrey Kravtsov, Risa Wechsler, Frank van den Bosch, Imad Pasha, Ethan Nadler, Peter Melchior, Jiaxuan Li, and Tjistske Starkenburg for very useful discussions related to this work. S.D. is supported by NASA through Hubble Fellowship grant HST-HF2-51454.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. J.E.G. acknowledges support from NSF Astronomy and Astrophysics Grant #1007052.
Software References
Astropy (Astropy Collaboration et al. 2013, 2018, 2022), matplotlib (Hunter 2007), numpy (van der Walt et al. 2011), scipy (Virtanen et al. 2020), and corner (Foreman-Mackey 2016).
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Additional details
- National Aeronautics and Space Administration
- HST-HF2- 51454.001-A
- National Aeronautics and Space Administration
- NAS5-26555
- National Science Foundation
- 1007052
- Accepted
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2023-08-11Accepted
- Available
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2023-09-29Published
- Caltech groups
- TAPIR
- Publication Status
- Published