EPJ Web Conf.
Volume 135, 20177th International Conference on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2016)
|Number of page(s)||4|
|Section||Radio Detection of Extensive Air Showers|
|Published online||15 March 2017|
Tunka-Rex: energy reconstruction with a single antenna station
1 Institut für Kernphysik, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
2 Institute of Applied Physics, Irkutsk State University (ISU), Irkutsk, Russia
3 Institut für Prozessdatenverarbeitung und Elektronik, Karlsruhe Institute of Technology (KIT), Germany
4 Skobeltsyn Institute of Nuclear Physics, Lomonossov University (MSU), Moscow, Russia
5 Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
6 Deutsches Elektronen-Synchrotron (DESY), Zeuthen, Germany
* e-mail: firstname.lastname@example.org
Published online: 15 March 2017
The Tunka-Radio extension (Tunka-Rex) is a radio detector for air showers in Siberia. From 2012 to 2014, Tunka-Rex operated exclusively together with its host experiment, the air-Cherenkov array Tunka-133, which provided trigger, data acquisition, and an independent air-shower reconstruction. It was shown that the air-shower energy can be reconstructed by Tunka-Rex with a precision of 15% for events with signal in at least 3 antennas, using the radio amplitude at a distance of 120 m from the shower axis as an energy estimator. Using the reconstruction from the host experiment Tunka-133 for the air-shower geometry (shower core and direction), the energy estimator can in principle already be obtained with measurements from a single antenna, close to the reference distance. We present a method for event selection and energy reconstruction, requiring only one antenna, and achieving a precision of about 20%. This method increases the effective detector area and lowers thresholds for zenith angle and energy, resulting in three times more events than in the standard reconstruction.
© The Authors, published by EDP Sciences, 2017
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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