Ultra Light Dark Matter and Galactic Observations
Analysis
Key Takeaways
- •Investigates Ultra Light Dark Matter (ULDM) as a dark matter candidate.
- •Explores the role of self-interactions in ULDM.
- •Uses galactic-scale observations to constrain ULDM parameters (mass and self-coupling).
- •Employs machine learning for parameter inference from galaxy rotation curves.
- •Addresses the stability of dwarf galaxies in the context of ULDM.
“Observational upper limits on the mass enclosed in central galactic regions can probe both attractive and repulsive self-interactions with strengths $λ\sim \pm 10^{-96} - 10^{-95}$.”