Machine-learning nonstationary noise out of gravitational-wave detectors

Signal extraction out of background noise is a common challenge in high-precision physics experiments, where the measurement output is often a continuous data stream. To improve the signal-to-noise ratio of the detection, witness sensors are often used to independently measure background noises and...

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Bibliographic Details
Main Authors: Vajente, G. (Author), Huang, Yiwen (Author), Isi Banales, Maximiliano S (Author), Driggers, J. C (Author), Kissel, J. S (Author), Szczepańczyk, M. J (Author), Vitale, Salvatore (Author)
Other Authors: MIT Kavli Institute for Astrophysics and Space Research (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2020-03-27T14:27:07Z.
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