Discovering Anomalous Physics in Realtime

Oregon Convention Center 

Supernovae mark the explosive deaths of stars and enrich the cosmos with heavy elements. Future telescopes will discover thousands of new supernovae nightly, creating a need to flag astrophysically interesting events rapidly for followup study. Ideally, such an anomaly detection pipeline would be independent of our current knowledge and be sensitive to unexpected phenomena. I will discuss recent developments in building multi-modal and both physics-informed/agnostic anomaly detection algorithms for multi-variate time series.