Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., Johnson, C., Berry, C. P. L., Crowston, K., Coughlin, S. B., Kalogera, V., Banagiri, S., Davis, D., Glanzer, J., Hao, R., Katsaggelos, A. K., Patane, O., Sanchez, J., Smith, J., Soni, S., … Téglás, B. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
Abstract
<p>The Gravity Spy project aims to uncover the origins of glitches, transient bursts of noise that hamper analysis of gravitational-wave data. By using both the work of citizen-science volunteers and machine-learning algorithms, the Gravity Spy project enables reliable classification of glitches.
Year of Publication
2024
Journal
European Physical Journal Plus
Volume
139
Number of Pages
Article 100
Date Published
01/2024
DOI
10.1140/epjp/s13360-023-04795-4