Erlangen 2026 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 2: Neutrino Physics I
T 2.4: Vortrag
Montag, 16. März 2026, 17:00–17:15, AudiMax
Insight into the Analysis of the KATRIN Neutrino Mass Data — Chloé Goupy1, Christoph Köhler1, Susanne Mertens1, •Jan Plößner1, Richard Salomon2, Alessandro Schwemmer1, Jaroslav Štorek3, Xaver Stribl1, 4, and Christoph Wiesinger1 for the KATRIN collaboration — 1Max-Planck-Institut für Kernphysik — 2Universität Münster — 3Karlsruher Institut für Technologie — 4Technische Universität München
The KArlsruhe TRItium Neutrino (KATRIN) experiment probes the effective electron anti-neutrino mass by a precision measurement of the tritium beta-decay spectrum near the endpoint. A world-leading upper limit of 0.45 eV c−2 (90 % C.L.) has been set, including the data of the first five measurement campaigns. With data collection now complete after a total of 19 measurement campaigns, the available statistics have increased by more than a factor of six compared to the initial dataset.
In this presentation, I will provide an update on the current status of the KATRIN neutrino mass analysis, including the data from the first 17 measurement campaigns, and discuss the neural network approach utilized for this analysis.
This work is supported by the Helmholtz Association and by the Ministry for Education and Research BMFTR (grant numbers 05A23PMA, 05A23PX2, 05A23VK2, and 05A23WO6).
Keywords: Neutrino Mass; Data Analysis; Neural Network