most citedIntroducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2025

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

Ethan Lilie, Jonah C. Rose, Mariangela Lisanti +14

Direct detection experiments require information about the local dark matter speed distribution to produce constraints on dark matter candidates, or infer their properties in the e…

astro-ph.GA2025

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 +24

We analyze the properties of satellite galaxies around 1,024 Milky Way-mass hosts from the DREAMS Project, simulated within a CDM cosmology. Utilizing the TNG galaxy-formation m…

astro-ph.GA2025

Linking Warm Dark Matter to Merger Tree Histories via Deep Learning Networks

Ilem Leisher, Paul Torrey, Alex M. Garcia +11

Dark matter (DM) halos form hierarchically in the Universe through a series of merger events. Cosmological simulations can represent this series of mergers as a graph-like ``tree''…

astro-ph.GA2024

How Many Bursts Does it Take to Form a Core at the Center of a Galaxy?

Olivia Mostow, Paul Torrey, Jonah C. Rose +4

We present a novel method for systematically assessing the impact of central potential fluctuations associated with bursty outflows on the structure of dark matter halos for classi…

astro-ph.GA20242 cited

Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations

Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27

We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…