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Muon Hunter & Muon Hunters 2.0
Credit : VERITAS
Abstract
Citizen science project aiming to train machines to classify events and identify muon images for background rejection and calibration events.
Contact
Authors :
- Ralph Bird, UCLA, Los Angeles
- Michael Daniel, Whipple Observatory
- Hugh Dickinson, University of Minnesota
- Qi Feng, Smithsonian Astrophys. Observ.
- Lucy Fortson, Minnesota U.
- Amy Furniss, California State University East Bay,
- Johanna Jarvis, Open U., England
- Reshmi Mukherjee, Columbia U., Astron. Astrophys.
- Rene Ong, UCLA
- Iftach Sadeh, DESY, Zeuthen
- David William, SCIPP
Contact :
- michael.daniel [at] cfa.harvard.edu
Project status
Done (updated 2025-07-08)