11 May 2026
University of Southern Denmark
Europe/Zurich timezone

Exploring the Nature of Dark Matter with Cosmological Simulations and Machine Learning

11 May 2026, 15:35
5m
DIAS Seminar Room (University of Southern Denmark)

DIAS Seminar Room

University of Southern Denmark

Campusvej 55 5230 Odense Denmark
Poster Astrophysical Dark Matter Searches Posters

Speaker

Pernille Truong (University of Southern Denmark)

Description

This project investigates the impact different theoretical dark matter models can have on galactic structure on small-scale. The two models being considered is the Cold Dark Matter (CDM) and Self-Interacting Dark Matter (SIDM), since SIDM is a current proposal to a solution of the small-cale problem arising from the most succesful dark matter model, CDM. To investigate detailed differences between the two models, machine learning is implemented. Simulations of CDM and SIDM made from the AREPO-code is used as the baseline for the analysis.

Author

Pernille Truong (University of Southern Denmark)

Co-authors

Mads Toudal Frandsen (University of Southern Denmark) Martin Rosenlyst Jørgensen (Massachusetts Institute of Technology) Mikkel Theiss Kristensen (University of Southern Denmark) Thejs Ehlert Brinckmann

Presentation materials