7–12 Jul 2024
Aurum, the ‘Gabriele d’Annunzio’ University and ICRANet
Europe/Rome timezone

Machine Learning to Boost Multimessenger Astrophysics

12 Jul 2024, 15:40
20m
M4 (Palazzo Micara of the ‘Gabriele d’Annunzio’ University)

M4

Palazzo Micara of the ‘Gabriele d’Annunzio’ University

Viale Pindaro, 42, Pescara
Talk in a parallel session Machine learning in astronomy: AGN, transient events, cosmology and others Machine learning in astronomy: AGN, transient events, cosmology and others

Speaker

Zsuzsa Marka (Columbia University)

Description

Gravitational-wave detections and open public alerts enabled prompt multimessenger studies for the global community. There is an ongoing effort to assimilate and invent machine learning techniques that will allow faster and more confident detections. Better characterized detections of more gravitational-wave events thereby will expand multimessenger science. I will highlight trailblazing efforts from the intersection of Data Science and Astrophysics for the development of more efficient methods for gravitational-wave discovery.

Primary author

Zsuzsa Marka (Columbia University)

Presentation materials