335 citations · 410 across the 6 of their papers we have counts for
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gr-qc2022★ 58 cited
Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications
J. Glanzer, S. Banagiri, S. B. Coughlin +10
Understanding the noise in gravitational-wave detectors is central to detecting and interpreting gravitational-wave signals. Glitches are transient, non-Gaussian noise features tha…
astro-ph.IM2022
Discriminative Dimensionality Reduction using Deep Neural Networks for Clustering of LIGO Data
Sara Bahaadini, Yunan Wu, Scott Coughlin +2
In this paper, leveraging the capabilities of neural networks for modeling the non-linearities that exist in the data, we propose several models that can project data into a low di…