30 citations · 45 across the 4 of their papers we have counts for
4 papers
Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run
Damon Beveridge, Alistair McLeod, Linqing Wen +2
The detection of gravitational waves from compact binary coalescences has provided significant insights into our Universe, and the discovery of new and unique gravitational wave ca…
Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run
Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50
Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
Mimicking Mergers: Mistaking Black Hole Captures as Mergers
Weichangfeng Guo, Daniel Williams, Ik Siong Heng +4
As the number of gravitational wave observations has increased in recent years, the variety of sources has broadened. Here we investigate whether it is possible for the current gen…