Enhancing Gravitational-Wave Science with Machine Learning

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dc.contributor.author Cuoco, Elena
dc.contributor.author Powell, Jade
dc.contributor.author Cavaglià, Marco
dc.contributor.author Ackley, Kendall
dc.contributor.author Bejger, Michal
dc.contributor.author Chatterjee, Chayan
dc.contributor.author Coughlin, Michael
dc.contributor.author Coughlin, Scott
dc.contributor.author Easter, Paul
dc.contributor.author Essick, Reed
dc.contributor.author Gabbard, Hunter
dc.contributor.author Gebhard, Timothy
dc.contributor.author Ghosh, Shaon
dc.contributor.author Haegel, Leila
dc.contributor.author Iess, Alberto
dc.contributor.author Keitel,David
dc.contributor.author Marka, Zsuzsa
dc.contributor.author Marka, Szabolcs
dc.contributor.author Morawski, Filip
dc.contributor.author Nguyen, Tri
dc.contributor.author Ormiston, Rich
dc.contributor.author Puerrer, Michael
dc.contributor.author Razzano, Massimiliano
dc.contributor.author Staats, Kai
dc.contributor.author Vajente, Gabriele
dc.contributor.author Williams, Daniel
dc.date.accessioned 2021-02-01T08:13:35Z
dc.date.available 2021-02-01T08:13:35Z
dc.identifier.uri http://hdl.handle.net/11201/154903
dc.description.abstract [eng] Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of ground-based gravitational-wave detector data. Examples include techniques for improving the sensitivity of Advanced LIGO and Advanced Virgo gravitational-wave searches, methods for fast measurements of the astrophysical parameters of gravitational-wave sources, and algorithms for reduction and characterization of non-astrophysical detector noise. These applications demonstrate how machine learning techniques may be harnessed to enhance the science that is possible with current and future gravitational-wave detectors.
dc.format application/pdf
dc.relation.isformatof https://arxiv.org/abs/2005.03745
dc.relation.ispartof Machine Learning: Science and Technology, 2020, p. 1-38
dc.rights , 2020
dc.subject.classification 52 - Astronomia. Astrofísica. Investigació espacial. Geodèsia
dc.subject.classification 53 - Física
dc.subject.other 52 - Astronomy. Astrophysics. Space research. Geodesy
dc.subject.other 53 - Physics
dc.title Enhancing Gravitational-Wave Science with Machine Learning
dc.type info:eu-repo/semantics/article
dc.date.updated 2021-02-01T08:13:35Z
dc.rights.accessRights info:eu-repo/semantics/openAccess

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