161 citations · 372 across the 6 of their papers we have counts for
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Identifying muon rings in VERITAS data using convolutional neural networks trained on images classified with Muon Hunters 2
Kevin Flanagan, John Quinn, Darryl Wright +4
Muons from extensive air showers appear as rings in images taken with imaging atmospheric Cherenkov telescopes, such as VERITAS. These muon-ring images are used for the calibration…
Machine Learning for the Zwicky Transient Facility
Ashish Mahabal, Umaa Rebbapragada, Richard Walters +47
The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here various machine learning…
Integrating human and machine intelligence in galaxy morphology classification tasks
Melanie R. Beck, Claudia Scarlata, Lucy F. Fortson +8
Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the scale of data continues to increase with upcoming surveys, traditional classification metho…