Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

With the improving sensitivity of the global network of gravitational-wave detectors, we expect to observe hundreds of transient gravitational-wave events per year. The current methods used to estimate their source parameters employ optimally sensitive but computationally costly Bayesian inference a...

Full description

Saved in:

Bibliographic Details
Published in:	Nature physics Vol. 18; no. 1; pp. 112 - 117
Main Authors:	Gabbard, Hunter, Messenger, Chris, Heng, Ik Siong, Tonolini, Francesco, Murray-Smith, Roderick
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.01.2022 Nature Publishing Group
Subjects:	639/766/34/4123 639/766/34/861 Astronomy Atomic Bayesian analysis Binary stars Black holes Classical and Continuum Physics Complex Systems Condensed Matter Physics Conditional probability Cost analysis Estimates Gravitational waves Mathematical and Computational Physics Molecular Neutron stars Optical and Plasma Physics Parameter estimation Parameter sensitivity Physics Physics and Astronomy Statistical inference Theoretical
ISSN:	1745-2473, 1745-2481
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!