Aachen 2019 – scientific programme

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T: Fachverband Teilchenphysik

T 29: Deep Learning II

T 29.7: Talk

Tuesday, March 26, 2019, 17:30–17:45, H06

Event Reconstruction with Machine Learning methods in JUNO — •Yu Xu^1,2, Yaping Cheng^1,2, Christoph Genster^1,2, Alexandre Göttel^1,2, Livia Ludhova^1,2, Philipp Kampmann^1,2, Michaela Schever^1,2, Achim Stahl^1,2, and Christopher Wiebusch¹ — ¹IKP-2, Forschungszentrum Jülich — ²III Physikalisches Institut, RWTH Aachen University

Jiangmen Underground Neutrino Observatory (JUNO) experiment aims to determine the unknown neutrino mass ordering at a 3-4 sigma significance with 6 year*s data, which requires 3