The DREAMS Project: Disentangling the Impact of Halo-to-halo Variance and Baryonic Feedback on Milky Way Satellite Galaxies
Authors:
- Jonah C. RoseJRJonah C. Rose
- Mariangela LisantiMLMariangela Lisanti
- Paul TorreyPTPaul Torrey
- Francisco Villaescusa- NavarroFNFrancisco Villaescusa- Navarro
- Alex M. GarciaAGAlex M. Garcia
- Arya FarahiAFArya Farahi
- Carrie FilionCFCarrie Filion
- Alyson M. BrooksABAlyson M. Brooks
- Nitya KallivayalilNKNitya Kallivayalil
- Kassidy E. KollmannKKKassidy E. Kollmann
- Ethan LilieELEthan Lilie
Open Access
- 30 July 2026
- journal article
- Published by American Astronomical Society in The Astrophysical Journal
- Vol. 1006 (2) , 244
Abstract
We analyze the properties of satellite galaxies around 1024 Milky Way–mass hosts from the DREAMS Project, simulated within a ΛCDM cosmology. Utilizing the TNG galaxy-formation model, the DREAMS simulations incorporate both baryonic physics and cosmological uncertainties for a large sample of galaxies with diverse environments and formation histories. We investigate the relative impact of the physical uncertainty from the galaxy-formation model on predicted satellite properties using four metrics: the satellite stellar mass function, radial distribution, inner slope of the dark matter density profile, and stellar half-light radius. We compare these predictions to observations from the SAGA survey and the DREAMS N -body simulations and find that uncertainties from baryonic physics modeling are subdominant to the scatter arising from halo-to-halo variance. Where baryonic modeling does affect satellites, the supernova wind energy has the largest effect on the satellite properties that we investigate. Specifically, increased supernova wind energy suppresses the stellar mass of satellites and results in more extended stellar half-light radii. The adopted wind speed has only a minor impact, and other astrophysical and cosmological parameters show no measurable effect. Our findings highlight the robustness of satellite properties against uncertainties in baryonic physics modeling.Keywords
Funding Information
- U.S. Department of Energy (DE-SC0007968)
- National Aeronautics and Space Administration (JWST-AR-04814)
- NSF ∣ National Science Foundation Graduate Research Fellowship Program (DGE-2444107)
- National Science Foundation (2421782)
- Simons Foundation (MPS-AI-00010515)
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