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...
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) |
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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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Subjects: | |
Online Access: | Get fulltext |
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