Small-scale structure as a probe of particle dark matter properties
by
Prof.Shin’ichiro Ando
→
Europe/Stockholm
FA31 (AlbaNova Main Building)
FA31
AlbaNova Main Building
Description
While Cold Dark Matter (CDM) has been the cornerstone in our understanding of the large-scale structure of the Universe, its implications on small scales – particularly those smaller than galaxy-sized structures – remain less explored. This gap in our understanding is crucial, as matter distribution at these scales is pivotal in differentiating various dark matter candidates, including Warm Dark Matter, Self-Interacting Dark Matter, and Fuzzy Dark Matter. Each of these candidates proposes distinct matter distributions at sub-galactic levels.
Historically, our insights into these small-scale distributions have been predominantly driven by numerical simulations. While these simulations are invaluable, they are not without limitations: they often face constraints related to numerical resolution and shot noise, require extensive computational resources, and can be time-consuming, especially when navigating the multidimensional parameter space of dark matter models.
In this seminar, I will delve into the development and application of semi-analytical models designed to probe these small-scale structures, with a particular emphasis on dark matter subhalos. These models are founded on the principles of structure formation theory and the tidal evolution of subhalos. Our semi-analytical models for CDM have been rigorously tested and validated against various numerical simulations, demonstrating their reliability and effectiveness.
Furthermore, I will discuss the extension of these models to study Warm and Self-Interacting Dark Matter. I will also explore how these models can provide constraints on different dark matter candidates through methods like satellite counts, gravitational lensing, and the analysis of stellar streams. This seminar aims to shed light on the potential of semi-analytical models as an efficient and comprehensive approach to traditional numerical simulations in the ongoing quest to unravel the mysteries of dark matter.
