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  • NAM2021
    • Contacts
  • Science
    • Science Programme
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  • Social
    • Presidential Address
    • Herschel Concert
    • RAS Awards Ceremony
    • Virtual Stonehenge Tour
  • Media
  • Public Engagement
    • Public engagement opportunities
    • Public talk
    • Writing Skyscapes
  • Venue
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Tuesday

Schedule

id
date time
AM
10.02
Abstract
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.

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