Anomaly Detection for Multivariate Time Series of Exotic Supernovae

Understand

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.
• Here we present an unsupervised method to search for anomalous time series in real time for transient, multivariate, and aperiodic signals.