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The DREAMS Project: Disentangling the Impact of Halo-to-halo Variance and Baryonic Feedback on Milky Way Dark Matter Density Profiles

  • Alex M. Garcia
  • , Jonah C. Rose
  • , Paul Torrey
  • , Andrea Caputo
  • , Mariangela Lisanti
  • , Andrew B. Pace
  • , Hongwan Liu
  • , Abdelaziz Hussein
  • , Haozhe Liu
  • , Francisco Villaescusa-Navarro
  • , John Barry
  • , Ilem Leisher
  • , Belén Costanza
  • , Jonathan Kho
  • , Ethan Lilie
  • , Jiaxuan Li
  • , Niusha Ahvazi
  • , Aklant Bhowmick
  • , Tri Nguyen
  • , Stephanie O’Neil
  • Xiaowei Ou, Xuejian Shen, Arya Farahi, Nitya Kallivayalil, Lina Necib, Mark Vogelsberger

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, we utilize a new suite of Milky Way–mass halos from the DREAMS Project, simulated with cold dark matter (CDM), to quantify the influence of baryon feedback and intrinsic halo-to-halo variance on dark matter density profiles. Our suite of 1024 halos varies over supernova and black hole feedback parameters from the IllustrisTNG model, as well as variations in two cosmological parameters. We find that, for the DREAMS parameter variations, Milky Way–mass dark matter density profiles in the IllustrisTNG model are largely insensitive to astrophysics and cosmology variations, with the dominant source of scatter instead arising from halo-to-halo variance. However, most of the (comparatively minor) feedback-driven variations come from the changes to supernova prescriptions. By comparing to dark-matter-only simulations, we find that the strongest supernova wind energies are so effective at preventing galaxy formation that the halos are nearly entirely collisionless dark matter. Finally, regardless of physics variation, all of the DREAMS halos are roughly consistent with a halo contracting adiabatically from the presence of baryons, unlike models that have bursty stellar feedback. This work represents a step toward assessing the uncertainty in Milky Way dark matter profiles, with direct implications for dark matter searches where systematic uncertainty in the density profile remains a major challenge.

Original languageEnglish (US)
JournalAstrophysical Journal
Volume1002
Issue number1
DOIs
StatePublished - May 1 2026

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Cold dark matter (265)
  • Dark matter distribution (356)
  • Hydrodynamical simulations (767)

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