Göttingen 2025 – scientific programme
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T: Fachverband Teilchenphysik
T 54: Data, AI, Computing, Electronics V (Anomaly Detection, Event Selection)
T 54.5: Talk
Wednesday, April 2, 2025, 17:15–17:30, VG 2.101
Novel Event Selection Techniques to Discriminate between Proton Decay and Atmospheric Neutrino Backgrounds in JUNO — •Korbinian Stangler, Ulrike Fahrendholz, Lothar Oberauer, and Carsten Dittrich — TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, 85748 Garching
The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector, capable of searching for the hypothetical proton decay p → ν K+, which is predicted by supersymmetric Grand Unified Theories. As the momentum of the daughter kaon is below the Cherenkov threshold in water, JUNO will be able to provide competitive results in comparison to the current partial lifetime limit of τ > 5.9 · 1033 years, established by the Super-Kamiokande collaboration.
This talk presents a new machine-learning based strategy to discriminate proton decay events from atmospheric neutrino interactions in JUNO. From the resulting estimated sensitivity on p → ν K+, an improvement of the vertex reconstruction algorithm is suggested.
Keywords: Proton decay; Rare event search; Event selection; JUNO