Deep Neural Emulation of the Supermassive Black Hole Binary Population

Deep Neural Emulation of the Supermassive Black Hole Binary Population

While supermassive black hole (SMBH) binaries are not the only viable source for the low-frequency gravitational wave background (GWB) signal evidenced by the most recent pulsar timing array (PTA) data sets, they are expected to be the most likely. Thus, connecting the measured PTA GWB spectrum and...

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Bibliographic Details
Main Authors: Nima Laal, Stephen R. Taylor, Luke Zoltan Kelley, Joseph Simon, Kayhan Gültekin, David Wright, Bence Bécsy, J. Andrew Casey-Clyde, Siyuan Chen, Alexander Cingoranelli, Daniel J. D’Orazio, Emiko C. Gardiner, William G. Lamb, Cayenne Matt, Magdalena S. Siwek, Jeremy M. Wachter
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Supermassive black holes
Gravitational waves
Gravitational wave astronomy
Millisecond pulsars
Neural networks
Online Access:https://doi.org/10.3847/1538-4357/adb4ef
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