Speaker
Michael Coughlin
(University of Minnesota)
Description
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.
Author
Michael Coughlin
(University of Minnesota)