Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder

The broadband frequency output of gravitational-wave (GW) detectors is a non-stationary and non-Gaussian time series data stream dominated by noise populated by local disturbances and transient artifacts, which evolve on the same timescale as the GW signals and may corrupt the astrophysical informat...

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Vydáno v:	Machine learning: science and technology Ročník 4; číslo 3; s. 35024 - 35044
Hlavní autoři:	Bacon, Philippe, Trovato, Agata, Bejger, Michał
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bristol IOP Publishing 01.09.2023 IOP Publishing Ltd
Témata:	Algorithms Artificial neural networks Black holes Broadband Coders convolutional neural network data analysis Data transmission Datasets denoising autoencoder Encoders-Decoders General Relativity and Quantum Cosmology Gravitational waves Instrumentation and Detectors Noise reduction Physics Time series black hole coalescence gravitational radiation LIGO binary noise gravitational radiation detector neural network detector non-Gaussianity
ISSN:	2632-2153, 2632-2153
On-line přístup:	Získat plný text
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