Nested sampling with normalizing flows for gravitational-wave inference

We present a novel method for sampling iso-likelihood contours in nested sampling using a type of machine learning algorithm known as normalizing flows and incorporate it into our sampler nessai. nessai is designed for problems where computing the likelihood is computationally expensive and therefor...

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Veröffentlicht in:	Physical review. D Jg. 103; H. 10; S. 1
Hauptverfasser:	Williams, Michael J., Veitch, John, Messenger, Chris
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	College Park American Physical Society 05.05.2021
Schlagworte:	Algorithms Coalescing Gravitational waves Machine learning Parallel processing Parameter estimation Sampling
ISSN:	2470-0010, 2470-0029
Online-Zugang:	Volltext
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