7 citations · 7 across the 1 of their papers we have counts for
2 papers
physics.data-an2020★ 7 cited
Cosmic Background Removal with Deep Neural Networks in SBND
SBND Collaboration, R. Acciarri, C. Adams +128
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors whil…
physics.comp-ph2020
A Review on Machine Learning for Neutrino Experiments
Fernanda Psihas, Micah Groh, Christopher Tunnell +1
Neutrino experiments study the least understood of the Standard Model particles by observing their direct interactions with matter or searching for ultra-rare signals. The study of…