PoS - Proceedings of Science
Volume 410 - The 5th International Workshop on Deep Learning in Computational Physics (DLCP2021) - Short papers
Legacy of Tunka-Rex Software and Data
P. Bezyazeekov*, N. Budnev, O. Fedorov, O. Gress, O. Grishin, A. Haungs, T. Huege, Y. Kazarina, M. Kleifges, E. Korosteleva, D. Kostunin, L. Kuzmichev, V. Lenok, N. Lubsandorzhiev, S. Malakhov, T. Marshalkina, R. Monkhoev, E. Osipova, A. Pakhorukov, L. Pankov, V. Prosin, D. Shipilov, A. Zagorodnikov and F. Schroeder
Full text: pdf
Pre-published on: December 10, 2021
Published on: January 12, 2022
Abstract
Tunka-Rex is a digital antenna array for measuring the radio emission
from air-showers, induced by high-energy cosmic rays. The array started
operation in 2012 with 18 antennas and had significantly developed over
the years, finishing measurements in 2019 with 63 antennas and upgraded
data acquisition. Analysis and processing of the collected data is a
complex procedure which contains a number of steps (monitoring of state
of the array, low-level filtration, quality cuts, reconstruction of
air-shower parameters etc.). We give an overview of software developed
for these tasks and our experience gained during the work with Tunka-Rex
data. The legacy of software and data is discussed in the frame of the
FAIR (Findability – Accessibility – Interoperability – Reuse) concepts.
DOI: https://doi.org/10.22323/1.410.0010
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