Speaker
Prof.
Matthew Buckley
Description
The Gaia space telescope is mapping the kinematics of the nearest and brightest billion stars in the Milky Way with unprecedented precision. Structures such as streams and tidal debris in the star's phase space can provide evidence for the assembly history of the Galaxy, and perhaps reveal information about the particle physics of dark matter. Identifying such structures in the high-dimensional data set is non-trivial. We apply the ANODE anomaly-detection technique, designed for model-independent searches at the LHC, successfully identifying stellar streams in the Gaia data. Such flexible unsupervised techniques have great potential to assist in the study of these complex astrophysical data sets.
