Gravity Spy Machine Learning Classifications of LIGO Glitches from Observing Runs O1, O2, O3a, and O3b

J. Glanzer (Contributor)
S. Banagiri (Contributor)
Scott Coughlin (Contributor)
S. Soni (Contributor)
M. Zevin (Contributor)
C.P.L. Berry (University of Glasgow) (Contributor)
O. Patane (Contributor)
Sara Bahaadini (Contributor)
Neda Rohani (Contributor)
K. Crowston (Contributor)
Vicky Kalogera (Contributor)
C. Osterlund (Contributor)
Laura Trouille (Contributor)
Aggelos K Katsaggelos (Contributor)
S. Allen (Contributor)
C. Jackson (Contributor)
V. Noroozi (Contributor)
J. R. Smith (Contributor)

Dataset

1 Article

1 results

2023
Data quality up to the third observing run of advanced LIGO: Gravity Spy glitch classifications
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., Mar 16 2023, In: Classical and Quantum Gravity. 40, 6, 065004.
Research output: Contribution to journal › Article › peer-review

Open Access
37 Scopus citations