Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

The sensitivity of searches for astrophysical transients in data from the Laser Interferometer Gravitational-wave Observatory (LIGO) is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a high enough rate such that accidental coincidence across multiple det...

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Bibliographic Details
Main Authors: Biswas, Rahul, Blackburn, Lindy L., Cao, Junwei, Hodge, K. A., Katsavounidis, Erotokritos, Kim, Kyungmin, Kim, Young-Min, Le Bigot, Eric-Olivier, Lee, Chang-Hwan, Oh, John J., Oh, Sang Hoon, Son, Edwin J., Vaulin, Ruslan, Wang, Xiaoge, Essick, Reed Clasey, Tao, Ye
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:en_US
Published: American Physical Society 2014
Online Access:http://hdl.handle.net/1721.1/84700
https://orcid.org/0000-0001-6550-3045
https://orcid.org/0000-0001-8196-9267

Internet

http://hdl.handle.net/1721.1/84700
https://orcid.org/0000-0001-6550-3045
https://orcid.org/0000-0001-8196-9267

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