Fast Gravitational-wave Parameter Estimation without Compromises

Fast Gravitational-wave Parameter Estimation without Compromises

We present a lightweight, flexible, and high-performance framework for inferring the properties of gravitational-wave events. By combining likelihood heterodyning, automatically differentiable, and accelerator-compatible waveforms, and gradient-based Markov Chain Monte Carlo sampling enhanced by nor...

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Bibliographic Details
Main Authors: Kaze W. K. Wong, Maximiliano Isi, Thomas D. P. Edwards
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Gravitational waves
Markov chain Monte Carlo
Astronomical methods
Computational methods
Algorithms
Neural networks
Online Access:https://doi.org/10.3847/1538-4357/acf5cd

Internet

https://doi.org/10.3847/1538-4357/acf5cd

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