Chan, Man Leong https://orcid.org/0009-0009-6826-4559
McIver, Jess https://orcid.org/0000-0003-0316-1355
Mahabal, Ashish https://orcid.org/0000-0003-2242-0244
Messick, Cody https://orcid.org/0000-0002-8230-3309
Haggard, Daryl https://orcid.org/0000-0001-6803-2138
Raza, Nayyer https://orcid.org/0000-0002-8549-9124
Lecoeuche, Yannick https://orcid.org/0000-0002-9186-7034
Sutton, Patrick J. https://orcid.org/0000-0003-1614-3922
Ewing, Becca https://orcid.org/0000-0001-9178-5744
Di Renzo, Francesco https://orcid.org/0000-0002-5447-3810
Cabero, Miriam https://orcid.org/0000-0003-4059-4512
Ng, Raymond
Coughlin, Michael W. https://orcid.org/0000-0002-8262-2924
Ghosh, Shaon https://orcid.org/0000-0001-9901-6253
Godwin, Patrick https://orcid.org/0000-0002-7489-4751
Funding for this research was provided by:
National Science Foundation (PHY-2347628)
Indo-US Science and Technology Forum (JC-001/2017)
Article Title: GWSkyNet. II. A Refined Machine-learning Pipeline for Real-time Classification of Public Gravitational Wave Alerts
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2024. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2023-11-30
Date Accepted: 2024-05-07
Online publication date: 2024-08-23