NuFact 2026 - The 27th International Workshop on Neutrinos from Accelerators

Session

WG1 — Machine Learning & Reconstruction for Oscillations

Sep 4, 2026, 2:00 PM

Tsung-Dao Lee Institute

Conveners

WG1 — Machine Learning & Reconstruction for Oscillations

• Pierre Granger (CERN)

41. Deep Learning for a Deep Detector: Neural Network Reconstruction at Hyper-Kamiokande

Erwan Le Blévec (Laboratoire Leprince-Ringuet)

9/4/26, 2:00 PM

WG6: Detector Physics

Oral contribution

NuFact 2026,
Tsung-Dao Lee Institute,
No.1 Lisuo Road, Pudong New District, Shanghai 201210, China
August 31, 2026 to September 5, 2026
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The Hyper-Kamiokande detector represents the next generation of neutrino observatories, following in the lineage of the Kamiokande and...

83. Machine Learning in the JUNO Experiment: An Overview

Arsenii Gavrikov (TDLI, SJTU)

9/4/26, 2:25 PM

WG1: Neutrino Oscillation Physics

Oral contribution

The Jiangmen Underground Neutrino Observatory (JUNO) is a neutrino experiment located in China with a broad physics program. Following nearly a decade of construction, JUNO began physics data-taking on August 26, 2025. The primary goals of the experiment are the determination of the neutrino mass ordering and the high-precision measurement of neutrino oscillation parameters. JUNO's central...

73. Measurement of neutrino oscillations in JUNO

Petr Lenskii (Joint Institute for Nuclear Research)

9/4/26, 2:50 PM

WG1: Neutrino Oscillation Physics

Oral contribution

Jiangmen Underground Neutrino Observatory (JUNO) is a kiloton-scale liquid scintillator detector located in southern China. Its main goals are determination of the neutrino mass ordering (NMO) and high-precision measurement of neutrino oscillation parameters by means of reactor antineutrinos. JUNO started physics data taking in the end of August 2025 and released the world-leading measurement...