Toward real-time detection of unmodeled gravitational wave transients using convolutional neural networks

Skliris, Vasileios, Norman, Michael R. K. and Sutton, Patrick J. ORCID: https://orcid.org/0000-0003-1614-3922 2024. Toward real-time detection of unmodeled gravitational wave transients using convolutional neural networks. Physical Review D (particles, fields, gravitation, and cosmology) 110 (10) , 104034. 10.1103/physrevd.110.104034

Preview

PDF - Accepted Post-Print Version Download (1MB) | Preview

Abstract

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 coalescing compact-object binaries such as black-hole binaries. Unfortunately, CNNs presented to date have required a precise model of the target signal for training. Such CNNs are therefore not applicable to detecting generic gravitational wave transients from unknown sources, and may be unreliable for anticipated sources such as core-collapse supernovae and long gamma-ray bursts, where unknown physics or computational limitations prevent the development of robust, accurate signal models. We demonstrate for the first time a CNN analysis pipeline with the ability to detect generic signals—those without a precise model—with sensitivity across a wide parameter space and with useful significance. Our CNN has a novel structure that uses not only the network strain data but also the Pearson cross-correlation between detectors to distinguish correlated gravitational wave signals from uncorrelated noise transients. We demonstrate the efficacy of our CNN using data from the second LIGO-Virgo observing run. We show that it has sensitivity approaching that of the “gold-standard” unmodeled transient searches currently used by LIGO-Virgo, at extremely low (order of 1 s) latency and using only a fraction of the computing power required by existing searches, allowing our models the possibility of true real-time detection of gravitational wave transients associated with gamma-ray bursts, core-collapse supernovae, and other relativistic astrophysical phenomena.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Physics and Astronomy
Additional Information:	License information from Publisher: LICENSE 1: URL: https://link.aps.org/licenses/aps-default-license, Start Date: 2024-11-15
Publisher:	American Physical Society
ISSN:	2470-0010
Date of First Compliant Deposit:	9 December 2024
Last Modified:	09 Dec 2024 11:00
URI:	https://orca.cardiff.ac.uk/id/eprint/174275

Actions (repository staff only)

Edit Item