Neutrino Physics and Machine Learning (NPML 2025)

Session

Experiments - JUNO

27 Oct 2025, 16:10

Koshiba Hall (University of Tokyo)

114. Cutting-Edge Machine-Learning Advancements at JUNO

Benda Xu

27/10/2025, 16:10

Long talk (25min. + 10min. Q/A)

The Jiangmen Underground Neutrino Observatory (JUNO) is the world's
largest 20-kiloton liquid scintillator (LS) detector in south China. It
will precisely measure the oscillation of reactor antineutrinos from two
commercial nuclear power plants 53km away, with the goal of determining
the neutrino mass ordering and measuring three oscillation parameters to
sub-percent precisions. This...

28. Reconstruction and Identification of Atmospheric Neutrino Events at JUNO Using Machine-Learning Methods

Milo Charavet

27/10/2025, 16:45

Long talk (25min. + 10min. Q/A)

The Jiangmen Underground Neutrino Observatory (JUNO) is a next-generation multipurpose
liquid scintillator detector with a 20-kiloton target mass, located in southern China. One of its primary goals is to determine the neutrino mass ordering (NMO) with a significance of at least 3σ by precisely measuring the oscillation pattern of reactor antineutrinos over a 53 km baseline. Beyond reactor...

18. Simulation-Based Inference for Precision Neutrino Physics through Neural Monte Carlo Tuning

Andrea Serafini

27/10/2025, 17:20

Short talk (15min. + 5 min. Q/A)

The Jiangmen Underground Neutrino Observatory (JUNO), which has recently begun operations, is an ambitious experiment designed for precision neutrino physics. To achieve its main objectives — the determination of neutrino mass ordering, and the sub-percent measurement of the θ_12, Δm_21^2 and Δm_31^2 neutrino oscillation parameters — the experiment demands highly accurate Monte Carlo (MC)...