The Mitchell Conference on Collider, Dark Matter, and Neutrino Physics 2022

Deep learning the astrometric signature of dark matter substructure

Not scheduled

10m

Astrophysics

Speaker

Prof. Savvas Koushiappas (Brown University)

Description

I will discuss the application of machine learning techniques for the detection of the astrometric signature of dark matter substructure. In this simple proof of principle example, a population of dark matter subhalos in the Milky Way act as lenses for sources of extragalactic origin. We show that machine learning applied to an SKA -like survey can be used to probe the substructure content of the Milky Way.