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  • Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
Title: Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
Award ID(s):
1934757 1725729 1931561
NSF-PAR ID:
10187156
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Physics Letters B
Volume:
808
Issue:
C
ISSN:
0370-2693
Page Range / eLocation ID:
135628
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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