Precision measurement of the electron energy-loss function in tritium and deuterium gas for the KATRIN experiment

Abstract

The KATRIN experiment is designed for a direct and model-independent determination of the effective electron anti-neutrino mass via a high-precision measurement of the tritium $\beta$-decay endpoint region with a sensitivity on $m_{\nu }$ of 0.2eV/c${}^2$ (90% CL). For this purpose, the $\beta$-electrons from a high-luminosity windowless gaseous tritium source traversing an electrostatic retarding spectrometer are counted to obtain an integral spectrum around the endpoint energy of 18.6keV. A dominant systematic effect of the response of the experimental setup is the energy loss of $\beta$-electrons from elastic and inelastic scattering off tritium molecules within the source. We determined the \linebreak energy-loss function in-situ with a pulsed angular-selective and monoenergetic photoelectron source at various tritium-source densities. The data was recorded in integral and differential modes; the latter was achieved by using a novel time-of-flight technique. We developed a semi-empirical parametrization for the energy-loss function for the scattering of 18.6-keV electrons from hydrogen isotopologs. This model was fit to measurement data with a 95% T${}_2$ gas mixture at 30K, as used in the first KATRIN neutrino mass analyses, as well as a D${}_2$ gas mixture of 96% purity used in KATRIN commissioning runs. The achieved precision on the energy-loss function has abated the corresponding uncertainty of $\sigma (m_{\nu }^2)<10^{-2}{\mathrm{eV}}^2$ [arXiv:2101.05253] in the KATRIN neutrino-mass measurement to a subdominant level.

arXiv comment12 figures, 18 pages; to be submitted to EPJ C

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• Operation Modes of the KATRIN Experiment Tritium Loop System using ${}^{83\mathrm{m}}$Kr
• A method for determining the transition energies of ${}^{83m}$Kr at the KATRIN experiment
• A precision 32 keV angular-selective photoelectron source for calibration measurements at the KATRIN experiment
• Monte Carlo simulations of the electron-gas interactions in the KATRIN experiment
• Fast and precise model calculation for KATRIN using a neural network