Data-driven detection of astrophysical transients

by Iftach Sadeh (DESY)

Wednesday 25 May 2022, 13:00 → 14:00 Europe/Berlin

Zoom (DESY Zeuthen)

One of the major challenges in the study of explosive transients is their detection and characterisation using multiple messengers, which often represent different physical regimes and temporal scales. I describe a novel data-driven framework, which is intended to enhance the discovery potential of current and upcoming experiments. Particularly, it is intended for near- and real-time analyses, which are essential for effective follow-up across instruments. The approach is based on anomaly detection techniques, coupling deep learning, time-series analysis, and Bayesian inference. I demonstrate applications focused on the study of gamma-ray bursts, supernovae, primordial black holes, and active galactic nuclei. These involve the combination of multiwavelength data, ranging from optical to gamma-rays, as well as neutrinos. 

 

This is a VIDEO COLLOQUIUM!

Connection details at https://desy.zoom.us/j/99616528733

Meeting ID: 996 1652 8733
Meeting Password: 733220

video1566259196.mp4