High-quality Strong Lens Candidates in the Final Kilo-Degree Survey Footprint

Journal article

A rather clear problem has remained for astrophysicists studying black holes: localizing black holes. One of the recent theoretical ways proposed to identify black hole mergers’ hosts is through multi-messenger gravitational lensing: matching the properties of a lensed host galaxy with those of a lensed gravitational wave (GW). This paper reviews the most recent literature and introduces some of the ongoing work on the localization of binary black holes (BBHs) and their host galaxies through lensing of GWs and their electromagnetically bright hosts. This article is part of the Theo Murphy meeting issue ‘Multi-messenger gravitational lensing (Part 1)’.

Authors: Li, R; Napolitano, NR; Spiniello, C; Tortora, C; Kuijken, K

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: American Astronomical Society
• Journal: The Astrophysical Journal
• Volume: 923
• Issue: 1
• Pages: 16-16
• Publication date: 2021-12-08
• DOI: 10.3847/1538-4357/ac2df0
• EISSN: 1538-4357
• ISSN: 0004-637X
• Language: English
• Keywords: Computer science; Pattern recognition (psychology); Convolutional neural network; Galaxy; Classifier (UML); False positive paradox; Physics; Artificial intelligence; Astrophysics