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Analysis of KATRIN Data Using Monte Carlo Propagation

Not scheduled


Mr Christian Karl (Max Planck Institute for Physics)


The KATRIN experiment is designed to measure the effective electron anti-neutrino
mass $m_{\nu}$ by investigating the energy spectrum of tritium $\beta$-decay. This
poster presents one of the analysis strategies pursued by the collaboration which is
based upon Monte Carlo propagation of uncertainties. It was already successfully applied
to the first neutrino measurement campaign which took place in spring 2019. As a result,
we derive an upper limit of $m_{\nu} < 1.1\,\mathrm{eV}$ at 90$\,$% confidence level
using the sensitivity limit method of Lokhov and Tkachov. These results as well as a
sterile neutrino search based on this first data set will be presented. Finally, we
plan to discuss first results of the subsequent data taking phase in autumn 2019.


New KATRIN neutrino mass data is analysed using Monte Carlo propagation of uncertainty.

Experiment/Collaboration KATRIN

Primary author

Mr Christian Karl (Max Planck Institute for Physics)


Dr Martin Slezak (Max Planck Institute for Physics) Dr Susanne Mertens (Max Planck Institute for Physics)

Presentation materials