149 citations · 337 across the 5 of their papers we have counts for
5 papers
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…
All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369
Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…
Real-Time Detection of Unmodelled Gravitational-Wave Transients Using Convolutional Neural Networks
Vasileios Skliris, Michael R. K. Norman, Patrick J. Sutton
Convolutional Neural Networks (CNNs) have demonstrated potential for the real-time analysis of data from gravitational-wave detector networks for the specific case of signals from…
All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1186
We present the results of a search for short-duration gravitational-wave transients in the data from the second observing run of Advanced LIGO and Advanced Virgo. We search for gra…
All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1130
We present results of an all-sky search for continuous gravitational waves (CWs), which can be produced by fast-spinning neutron stars with an asymmetry around their rotation axis,…