Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning

The observation of gravitational waves from compact binary coalescences by LIGO and Virgo has begun a new era in astronomy. A critical challenge in making detections is determining whether loud transient features in the data are caused by gravitational waves or by instrumental or environmental sourc...

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Veröffentlicht in:	Physical review. D 2019-04, Vol.99 (8), p.1, Article 082002
Hauptverfasser:	Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., Jackson, C., Noroozi, V., Allen, S., Areeda, J., Coughlin, M., Ruiz, P., Berry, C. P. L., Crowston, K., Katsaggelos, A. K., Lundgren, A., Østerlund, C., Smith, J. R., Trouille, L., Kalogera, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomy Binary stars Classification Data analysis Gravitation Gravitational waves Machine learning Similarity
Online-Zugang:	Volltext
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