Gravity Spy: Discovering features in gravitational-wave data with citizen science
Tuesday
Abstract details
id
Gravity Spy: Discovering features in gravitational-wave data with citizen science
Date Submitted
2021-03-27 10:43:00
Christopher
Berry
University of Glasgow/Northwestern University
Outreach and public engagement: Engaging communities with astronomy
Contributed
CPL Berry (Glasgow, Northwestern), S Soni (Louisiana State), SB Coughlin (Northwestern), M Harandi (Syracuse), CB Jackson (Wisconsin-Madison), K Crowston (Syracuse), C Østerlund (Syracuse), O Patane (California State Fullerton), AK Katsaggelos (Northwestern), L Trouille (Adler Planetarium, Northwestern), V-G Baranowski, WF Domainko, K Kaminski, MA Lobato Rodriguez, U Marciniak, P Nauta, G Niklasch, R R Rote, B Téglás, C Unsworth, C Zhang
Gravity Spy is a community-science project aiming to classify transient noise (glitches) in gravitational-wave observatory data. Volunteers on the Zooniverse platform can classify glitches into a set of predefined classes. As gravitational-wave detectors change between observing runs, new classes of glitch can arise. This talk will highlight how volunteers discovered a new type of glitch in data from Advanced LIGO's third observing run. The new class (named Crown by the volunteers and Fast Scattering within LIGO) was independently identified by detector-characterization experts and our volunteers, enabling us to validate the accuracy of the volunteers' investigations. Gravity Spy may serve as an example of how citizen-science volunteers can go beyond classification tasks to identify novel patterns and features within data sets if given appropriate support.
All attendees are expected to show respect and courtesy to other attendees and staff, and to adhere to the NAM Code of Conduct.