The DREAMS Project: Disentangling the Impact of Halo-to-Halo Variance and Baryonic Feedback on Milky Way Satellite Galaxies
Jonah C. Rose, Mariangela Lisanti, Paul Torrey, Francisco Villaescusa-Navarro, Alex M. Garcia, Arya Farahi, Carrie Filion, Alyson M. Brooks, Nitya Kallivayalil, Kassidy E. Kollmann, Ethan Lilie, Jiaxuan Li, Olivia Mostow, Akaxia Cruz, Tri Nguyen, Sandip Roy, Andrew B. Pace, Niusha Ahvazi, Stephanie O'Neil, Xuejian Shen, Francis-Yan Cyr-Racine, Adrian M. Price-Whelan, Marla Geha, Lina Necib, Mark Vogelsberger, Julian B. Muñoz, Julianne J. Dalcanton
TL;DR
The DREAMS study investigates satellite galaxies around Milky Way–mass hosts to quantify the relative importance of halo-to-halo variance versus baryonic feedback uncertainties. By combining a large suite of 1,024 hydrodynamic DREAMS realizations with an emulator (NeHOD) that uses a normalizing flow and a variational diffusion model, the authors robustly assess how changes in SN wind energy, wind speed, AGN feedback, and cosmology affect satellite mass functions, radial distributions, inner DM slopes, and half-light radii. They find halo-to-halo variance generally dominates the scatter in most satellite properties, while baryonic physics, particularly SN feedback, can modulate stellar masses and sizes, though the inner DM density remains cuspy due to adiabatic contraction. A notable discrepancy remains in the sizes of high-mass satellites compared with SAGA, likely pointing to missing ISM physics or alternative feedback implementations, which motivates future studies across different galaxy-formation models and environment priors. These results establish a framework to quantify theoretical uncertainties in MW-mass satellite populations and enable efficient exploration of large parameter spaces with emulators.
Abstract
We analyze the properties of satellite galaxies around 1,024 Milky Way-mass hosts from the DREAMS Project, simulated within a $Λ$CDM 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 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.
