Issue |
EPJ Web Conf.
Volume 216, 2019
8th International Conference on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2018)
|
|
---|---|---|
Article Number | 02012 | |
Number of page(s) | 3 | |
Section | Experimental Data | |
DOI | https://doi.org/10.1051/epjconf/201921602012 | |
Published online | 24 September 2019 |
https://doi.org/10.1051/epjconf/201921602012
First analysis of inclined air showers detected by Tunka-Rex
1
Institute of Applied Physics ISU, Irkutsk, Russia
2
Institut für Kernphysik, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
3
Institut für Prozessdatenverarbeitung und Elektronik, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
4
Skobeltsyn Institute of Nuclear Physics MSU, Moscow
Russia
5
Institut für Experimentelle Teilchenphysik, Karlsruhe Institute of Technology (KIT), Karlsruhe
Germany
6
Department of Physics and Astronomy, University of Delaware, Newark, DE
USA
★ now at the University of Zürich
★★ also at Vrije Universiteit Brussel, Brussels, Belgium
Published online: 24 September 2019
The Tunka Radio Extension (Tunka-Rex) is a digital antenna array for the detection of radio emission from cosmic-ray air showers in the frequency band of 30 to 80 MHz and for primary energies above 100 PeV. The standard analysis of Tunka-Rex includes events with zenith angle of up to 50?. This cut is determined by the efficiency of the external trigger. However, due to the air-shower footprint increasing with zenith angle and due to the more efficient generation of radio emission (the magnetic field in the Tunka valley is almost vertical), there are a number of ultra-high-energy inclined events detected by Tunka-Rex. In this work we present a first analysis of a subset of inclined events detected by Tunka-Rex. We estimate the energies of the selected events and test the efficiency of Tunka-Rex antennas for detection of inclined air showers.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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