SMuK 2023 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 114: Neutrinos V
T 114.4: Vortrag
Donnerstag, 23. März 2023, 16:35–16:50, POT/0051
Analysing KATRIN neutrino mass data using a neural network — Christian Karl1,2, Susanne Mertens1,2, •Alessandro Schwemmer1,2, and Christoph Wiesinger1,2 for the KATRIN collaboration — 1Physik Department, Technische Universität München, Garching — 2Max-Planck-Institut für Physik, 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 0.8 eV c−2 (90 % CL) has been set with the first two measurement campaigns. Improvements w.r.t. the measurement configuration allowed for an enhanced signal-to-background ratio as well as a reduction of systematic uncertainties and a substantial increase in statistics. Subsequently the combined sensitivity of the first five datasets is estimated to be below 0.5 eV c−2 (90 % CL). In this talk we will present a novel approach for the analysis of these datasets using a neural network.