Using machine learning to improve neutron identification in water Cherenkov detectors

Using machine learning to improve neutron identification in water Cherenkov detectors

Water Cherenkov detectors like Super-Kamiokande, and the next generation Hyper-Kamiokande are adding gadolinium to their water to improve the detection of neutrons. By detecting neutrons in addition to the leptons in neutrino interactions, an improved separation between neutrino and anti-neutrinos,...

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Bibliographic Details
Main Authors: Blair Jamieson, Matt Stubbs, Sheela Ramanna, John Walker, Nick Prouse, Ryosuke Akutsu, Patrick de Perio, Wojciech Fedorko
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Big Data
Subjects:
machine learning
graph neural networks
water Cherenkov detector
particle physics
neutrino physics
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.978857/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2022.978857/full

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