About
With the detection of compact binary coalescences and their electromagnetic counterparts by gravitational-wave detectors, a new era of multi-messenger astronomy has begun. In this talk, I will describe how machine learning is enabling the gravitational-wave community to make very low-latency detection and parameter estimation possible within the alert system. I will then discuss how current ground based optical surveys and dedicated follow-up systems are integrating machine learning into their standard work flows, with examples from both current and near future surveys. We will close with near-term prospects for the field.
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The talk
Credits and licence
- Institution
- CERN
- Speaker
- Michael Coughlin
- Year
- 2026
- Language
- English
- Subjects
- Computer science, Astronomy and space
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed