Karlsruhe 2024 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
T: Fachverband Teilchenphysik
T 57: Neutrino physics 7
T 57.7: Vortrag
Mittwoch, 6. März 2024, 17:30–17:45, Geb. 30.21: Gerthsen-HS
Insight into the Neural Network Analysis of the KATRIN Neutrino Mass Data — Christoph Köhler, Susanne Mertens, •Jan Plößner, Alessandro Schwemmer, Xaver Stribl, and Christoph Wiesinger for the KATRIN collaboration — Chair for Dark Matter E47, Technical University of Munich
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. The combined sensitivity of the first five data sets with six-fold increase in statistics is below 0.5 eV c−2 (90 % CL). Since then, the collected statistics was increased by another factor of three.
In this presentation I will talk about the neural network analysis of the KATRIN neutrino mass data and provide an update on the current status beyond the fifth neutrino mass campaign.
This work is supported by the Helmholtz Association and by the Ministry for Education and Research BMBF (grant numbers 05A23PMA, 05A23PX2, 05A23VK2, and 05A23WO6).
Keywords: Neutrino Mass; KATRIN; Neural Network