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SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 90: Neutrinos, Dark Matter X

T 90.6: Vortrag

Mittwoch, 22. März 2023, 18:45–19:00, HSZ/0002

Machine learning based event reconstruction for the OSIRIS detector — •Lukas Bieger, Marc Breisch, Jessica Eck, Tobias Heinz, Benedict Kaiser, Tobias Lachenmaier, and Tobias Sterr — Eberhard Karls Universität Tübingen, Physikalisches Institut

The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment with a 20 kt liquid scintillator detector that is currently set up in southern China. The main goal of JUNO is determining the neutrino mass hierarchy, which is to be achieved by a precise measurement of the oscillated energy spectrum of electron antineutrinos from nearby nuclear power plants. The Online Scintillator Internal Radioactivity Investigation System (OSIRIS) will monitor the radio-purity of the liquid scintillator during the filling of JUNO, to ensure that the required contamination levels are met. OSIRIS itself is a 18 t liquid scintillator detector, which is instrumented with 64 20-inch PMTs to collect the light produced by events in the detector's sensitive volume. This talk will present an event reconstruction method based on machine learning which was developed for the application in the OSIRIS detector.

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