Abstract: The Milky Way's satellite galaxies have been used to constrain dark matter properties and explore the faintest threshold of galaxy formation.   These population-level studies rely on properties derived from heterogeneous spectroscopic analyses. Systematic differences between data reduction pipelines and membership criteria can masquerade as astrophysical signals, or obscure real trends.    I present the largest self-consistent sample of spectroscopically-derived quantities for Milky Way and M31 satellite galaxies based on a homogeneous re-analysis of individual stars observed with the Keck/DEIMOS spectrograph.    I demonstrate improved precision in the internal velocity dispersions over literature values, directly translating into improved constraints on their dark matter content and dark matter particle properties.  I then explore key relationships including the mass-metallicity and stellar mass-halo mass relationships.

Hosted by Assistant Professor Burçin Mutlu-Pakdil

Zoom Webinar Link: https://dartmouth.zoom.us/j/91888702369?pwd=aUlaVEFYNGZHNlZWL0R3cEVWQXg4UT09