SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 69: Neutrinos, Dark Matter IX

T 69.1: Vortrag

Mittwoch, 22. März 2023, 15:50–16:05, POT/0112

Reconstruction of atmospheric neutrino events in JUNO using GCNs — •Rosmarie Wirth, Caren Hagner, Daniel Bick, and Vidhya Thara Hariharan — Universitaet Hamburg, Hamburg, Germany

The Jiangmen Underground Neutrino Observatory (JUNO) is a 20 kt liquid scintillation detector, which will be completed in 2023 as the largest of its kind. JUNO aims to determine the neutrino mass ordering with 3 σ significance in about 6 years by observing the energy dependent oscillation probabilities of reactor anti-neutrinos.

Due to JUNO’s large volume, it provides the opportunity to detect atmospheric neutrino events with lower energies than today’s large Cherenkov experiments. This channel could deliver further measurements on the mass ordering, by observing the energy and direction dependent oscillation probabilities.

This talk presents reconstruction methods based on Graph Convolutional Networks (GCNs) to analyze these atmospheric neutrino events in JUNO.