# Fast and precise model calculation for KATRIN using a neural network

@article{Karl2022FastAP,
title={Fast and precise model calculation for KATRIN using a neural network},
author={Christian Karl and Philipp Eller and Susanne Mertens},
journal={The European Physical Journal C},
year={2022},
volume={82}
}
• Published 12 January 2022
• Physics, Computer Science
• The European Physical Journal C
We present a fast and precise method to approximate the physics model of the Karlsruhe Tritium Neutrino (KATRIN) experiment using a neural network. KATRIN is designed to measure the effective electron anti-neutrino mass mν\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$m_\nu$$\end{document} using the kinematics of…
2 Citations
• Physics
Journal of Physics G: Nuclear and Particle Physics
• 2022
The Karlsruhe Tritium Neutrino (KATRIN) experiment is designed to measure a high-precision integral spectrum of the endpoint region of T2 β decay, with the primary goal of probing the absolute mass
• Physics
The European Physical Journal C
• 2022
The KATRIN experiment aims at measuring the electron neutrino mass with a sensitivity of 0.2 eV/c2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts}

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We report the results of the second measurement campaign of the Karlsruhe Tritium Neutrino (KATRIN) experiment. KATRIN probes the effective electron anti-neutrino mass, mν, via a high-precision
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