collaborators

16 papers

astro-ph.GA2026

Mergers Matter: Gravothermal Collapse in Dwarf Halos with Self-Interacting Dark Matter

Maya Silverman, Abdelaziz Hussein, Arpit Arora +8

Self-Interacting Dark Matter (SIDM) models with large cross sections at relative velocities below can be tested with dwarf galaxy observations. We ana…

astro-ph.GA2026

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 +23

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 intrin…

astro-ph.GA2026

Probing Atomic Dark Matter with Stellar Streams in Milky Way-Mass Galaxies

Lucas S. Mandacarú Guerra, Stephanie O'Neil, Mariangela Lisanti +7

We present the first detailed analysis of the effects of dissipative dark matter on stellar streams. As a concrete example, we generate a cosmological hydrodynamic zoom-in simulati…

astro-ph.GA2026

Finding the boundary: Using galaxy membership to inform galaxy cluster extent through machine learning

Christine Hao, Stephanie O'Neil, Mark Vogelsberger +3

The spatial extent of the environment's impact on galaxies marks a transitional region between cluster and field galaxies. We present a data-driven method to identify this region i…

astro-ph.CO2026

Novel density profile for isothermal cores of dark matter halos

Vinh Tran, Xuejian Shen, Mark Vogelsberger +5

We present a novel analytic density profile for halos in self-interacting dark matter (SIDM) models, which accurately captures the isothermal-core configuration, i.e. where both th…

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…