SUDS Project:

Map the “Rivers” on the Sky using Astronomical Datasets

Research description:

Our Milky Way is surrounded by a lot of small galaxies and globular clusters. These systems can be disrupted to form stellar streams orbiting around the Milky Way, which can be used to study the formation of galaxies as well as the nature of dark matter. (A good example can be found in our latest story from The Globe & Mail)

The SUDS Scholar will develop a Bayesian model to assess the membership probability of each stream candidate star as well as the properties of these streams, using the positional, kinematic, and chemical information from large astronomical datasets from various modern surveys. This project will explore developing and applying new statistical and computational techniques which will be largely used in the next-generation astronomical surveys.

Year: 2023

Researcher:
Ting Li, David A. Dunlap Department of Astronomy and Astrophysics, Faculty of Arts & Science, University of Toronto

Student: 
Connor MacKeigan, University of Toronto

Through SUDS, undergraduate students engage in hands-on research focused on data sciences and AI methodology applications.