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Author/Creator Crowston, K

1. Data quality up to the third observing run of advanced LIGO: Gravity Spy glitch classifications. (20th February 2023)

Authors:
Glanzer, J; Banagiri, S; Coughlin, S B; Soni, S; Zevin, M; Berry, C P L; Patane, O; Bahaadini, S; Rohani, N; Crowston, K; Kalogera, V; Østerlund, C; Trouille, L; Katsaggelos, A
Journal:
Classical and quantum gravity
Issue:
Volume 40:Number 6(2023)
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Record Type:
Journal Article
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2. Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. (2nd September 2021)

Authors:
Soni, S; Berry, C P L; Coughlin, S B; Harandi, M; Jackson, C B; Crowston, K; Østerlund, C; Patane, O; Katsaggelos, A K; Trouille, L; Baranowski, V-G; Domainko, W F; Kaminski, K; Rodriguez, M A Lobato; Marciniak, U; Nauta, P; Niklasch, G; Rote, R R; Téglás, B; Unsworth, C
Journal:
Classical and quantum gravity
Issue:
Volume 38:Number 19(2021)
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Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

3. Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science. (28th February 2017)

Authors:
Zevin, M; Coughlin, S; Bahaadini, S; Besler, E; Rohani, N; Allen, S; Cabero, M; Crowston, K; Katsaggelos, A K; Larson, S L; Lee, T K; Lintott, C; Littenberg, T B; Lundgren, A; Østerlund, C; Smith, J R; Trouille, L; Kalogera, V
Journal:
Classical and quantum gravity
Issue:
Volume 34:Number 6(2017:Mar.)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗