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30 May 2022 to 4 June 2022
Virtual Seoul
Asia/Seoul timezone

Status of the KATRIN neutrino mass analysis using Monte Carlo propagation and a novel neural network approach

Not scheduled
20m
Virtual Seoul

Virtual Seoul

Poster Neutrino mass Poster

Speakers

Alessandro Schwemmer (Technical University Munich, Max Planck Institute for Physics) Christoph Wiesinger (Technical University of Munich, Max-Planck Institute for Physics)

Description

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 (90 % CL) has been set with the first two measurement campaigns. New operational conditions for an improved signal-to-background ratio, the reduction of systematic uncertainties and a substantial increase in statistics allow to expand this reach. The performance figures of three additional datasets, analysed with the Monte Carlo propagation method, and an outlook on their combination using a novel neural network technique will be presented.

We acknowledge the support of Helmholtz Association (HGF); Ministry for Education and Research BMBF (05A17PM3, 05A17PX3, 05A17VK2, 05A17PDA, 05A17WO3, 05A20VK3, 05A20PMA and 05A20PX3); Helmholtz Alliance for Astroparticle Physics (HAP); the doctoral school KSETA at KIT; Helmholtz Young Investigator Group (VH-NG-1055); Max Planck Research Group (MaxPlanck@TUM); Deutsche Forschungsgemeinschaft DFG (Research Training Group grant nos. GRK 1694 and GRK 2149); Graduate School grant no. GSC 1085-KSETA, SFB-1258, and Excellence Cluster ORIGINS in Germany; Ministry of Education, Youth and Sport (CANAM-LM2015056, LTT19005) in the Czech Republic; the Department of Energy through grants DE-FG02-97ER41020, DE-FG02-94ER40818, DE-SC0004036, DE-FG02-97ER41033, DE-FG02-97ER41041, DE-SC0011091 and DE-SC0019304; and the Federal Prime Agreement DE-AC02-05CH11231 in the USA. This project has received funding from the European Research Council (ERC) under the European Union Horizon 2020 research and innovation programme (grant agreement no. 852845). We thank the computing cluster support at the Institute for Astroparticle Physics at Karlsruhe Institute of Technology, Max Planck Computing and Data Facility (MPCDF), and National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory.

Collaboration KATRIN

Primary authors

Christian Karl (Technical University of Munich, Max-Planck Institute for Physics) Susanne Mertens (Technical University of Munich, Max-Planck Institute for Physics) Alessandro Schwemmer (Technical University Munich, Max Planck Institute for Physics) Christoph Wiesinger (Technical University of Munich, Max-Planck Institute for Physics)

Presentation materials