Exploring Dark Matter Models Using Dwarf Galaxies as Cosmic Laboratories

Loading...
Thumbnail Image
Penn collection
Interdisciplinary Centers, Units and Projects::Center for Undergraduate Research and Fellowships (CURF)::Fall Research Expo
Degree type
Discipline
Astrophysics and Astronomy
Subject
Physics
Funder
Grant number
Copyright date
2025
Distributor
Related resources
Author
DiMauro, Alexandra
Kundu, Aritra
Sanderson, Robyn
Contributor
Abstract

Dark matter is the most abundant form of matter in the universe, yet its properties remain the most obscure. It is only observable through its gravitational effects on baryonic matter, most notably through its shaping of galaxies. Two main models exist: Cold Dark Matter (CDM), whose particles interact only through gravity, and Self-Interacting Dark Matter (SIDM), where DM particles also interact with each other through a non-zero cross section. For this study, I used three Milky Way–like cosmological simulations from the Feedback in Realistic Environments-2 (FIRE-2) suite. Each simulation has a CDM, SIDM1, and SIDM10 version, allowing for a direct comparison of the models — where SIDM1 and SIDM10 represent interactions with cross sections of 1 and 10 cm2/g, respectively, meaning SIDM10 has 10 times stronger dark matter interactions.

The analysis focuses on the low-mass end of the stellar mass–halo mass (SMHM) relation, where the scatter is largest, as the high-mass end is already well characterized in the literature. The results show that the choice of dark matter model has little effect on this scatter. However, the stellar half-mass radius plots highlight differences in how the models influence the internal distribution of stars within galaxies. Preliminary results indicate that galaxies formed in the CDM model may develop flatter stellar density profiles compared to those formed in SIDM.

Advisor
Date of presentation
2025-09-15
Conference name
Conference dates
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
This project was supported with funding from the Penn Undergraduate Research Mentoring (PURM) program.
Recommended citation
Collection