Speaker
Eric Burns
Description
Gamma-ray Bursts (GRBs) are one of the most energetic phenomena in the cosmos, whose study probes physics beyond the reach of laboratories on Earth. Yet, our quest to fully unravel the origin of these events and comprehend their underlying physics is far from complete. Central to this pursuit is the rapid classification of GRBs to guide follow-up observations and analysis across the electromagnetic spectrum and beyond.
In this talk I will present a compelling approach which lays the groundwork for a new and robust GRB prompt classification. Leveraging self-supervised deep learning, we pioneer a novel and previously unexplored data product: GRB waterfalls.
Primary authors
Eric Burns
Michela Negro
(Louisiana State University)
Mr
Nicolò Cibrario
(Università degli Studi di Torino / INFN-To)
