www.gravityspy.org
- Gravity Spy is an NSF-funded interdisciplinary project incorporating citizen science, machine learning, social science, and aLIGO detector characterization
- One major issue afflicting aLIGOs ability to detect gravitational waves is poorly-modeled noise known as glitches
- Gravity Spy will aid in the classification and characterization of glitches by combining human intuition and pattern recognition with the power of computers to process large amounts of data systematically
- Zooniverse Project volunteers will morphologically classify glitches from the LIGO data stream, which are used to train machine learning algorithms for further classification
- In addition to the characterization and elimination of problematic noise in the aLIGO data stream, Gravity Spy promotes gravitational wave science and involves the lay public in scientific progress
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| PRINCIPLE INVESTIGATOR Vicky Kalogera, Northwestern University |
CO-INVESTIGATORS Kevin Crowston, Syracuse University Shane Larson, Northwestern University, Adler Planetarium Josh Smith, California State University - Fullerton Laura Trouille, Adler Planetarium, Zooniverse |
| PROJECT MEMBERS Northwestern University Sara Bahaadini - Machine Learning Emre Besler- Machine Learning Scotty Coughlin - Astrophysics, Data Science Vicky Kalogera - Astrophysics Aggelos Katsaggelos - Machine Learning Shane Larson - Astrophysics Neda Rohani- Machine Learning Mike Zevin - Astrophysics, Data Science Adler Planetarium Laura Trouille - Citizen Science California Institute of Technology Jess McIver - Astrophysics, Detector Characterization California State University - Fullerton Josh Smith - Astrophysics, Detector Characterization |
Syracuse University Kevin Crowston - Social Science, Human-Computer Interaction Mabi Harandi - Social Science, Human-Computer Interaction Corey Jackson - Social Science, Human-Computer Interaction Carsten Osterlund - Social Science, Human-Computer Interaction University of Alabama at Huntsville Center for Space Plasma and Aeronomic Research Tyson Littenberg - Astrophysics, Data Science University of Illinois at Chicago Vahid Noroozi - Machine Learning Zooniverse Sarah Allen - Citizen Science Laura Trouille - Citizen Science |
Media Round Up
- Read the CIERA Research Highlight.
- Read the Daily Zooniverse Announcement.
- Read Citizen Scientists Join Search for Gravitational Waves on Symmetry.
- Read Researchers Turn to Citizen Scientists for Help Identifying Gravitational Waves from the University of Alabama, Huntsville.
- Read about Gravity Spy in Syracuse University's The Daily Orange.
- Read Physics Student a 'Gravity Spy' from California State University, Fullerton.
- Read LIGO Magazine article Written by graduate student, Michael Zevin.
- Read Advancing the Search for Gravitational Waves with Next-Generation Citizen Science on CQG+.
- Read 'Gravity Spies' are Hunting for Gravitational Waves in Inverse Science.
 This image shows a particular kind of glitch common in LIGO data called a "whistle." In this case, the origin of the glitch is known to be part of the electronic control systems. Features like this in the data can fool astrophysics search codes. The Gravity Spy project will help discover and classify glitches, and help make our computer search algorithms more adept at recognizing them in the data. |
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