A combined study of HiSCORE and TAIGA scintillation detector array for the identification of EASs
A. Vaidyanathan*,
I. Astapov,
P. Bezyazeekov,
E. Bonvech,
A. Borodin,
N.M. Budnev,
A. Bulan, D. Chernov, A. Chiavassa, A.N. Dyachok, A.R. Gafarov, A. Garmash, V. Grebenyuk, E. Gress, O. Gress, T.I. Gress, A. Grinyuk, O. Grishin, A. Ivanova, A. Ivanova, M. Iliushin, N.N. Kalmykov, V. Kindin, S. Kiryuhin, R. Kokoulin, N. Kolosov, K. Kompaniets, E. Korosteleva, V. Kozhin, E. Kravchenko, A. Kryukov, L. Kuzmichev, A. Lagutin, M.V. Lavrova, Y. Lemeshev, B. Lubsandorzhiev, N. Lubsandorzhiev, S. Malakhov, R.A. Mirgazov, R. Monkhoev, E. Okuneva, E. Osipova, A. Pakhorukov, L. Pankov, A. Pan, A. Panov, A. Petrukhin, D. Podgrudkov, E. Popova, E. Postnikov, V. Prosin, V. Ptuskin, A. Pushnin, R. Raikin, A. Razumov, G. Rubtsov, E. Ryabov, V. Samoliga, I. Satyshev, A. Silaev, A.S. Junior, A. Sidorenkov, A.V. Skurikhin, A. Sokolov, L. Sveshnikova, V.A. Tabolenko, L.G. Tkachev, A. Tanaev, M. Ternovoy, N. Ushakov, P. Volchugov, N. Volkov, D. Voronin, A. Zagorodnikov, D. Zhurov and I. Yashinet al. (click to show)*: corresponding author
Pre-published on:
August 19, 2023
Published on:
September 27, 2024
Abstract
The TAIGA experiment in Tunka Valley is expanding the present scintillation detector array
with new TAIGA-Muon detector stations. A simulation model was developed to optimise the
layout of the new stations and study the identification performance of the array. The extensive air
showers (EASs) were simulated with the CORSIKA simulation tool, and the detector response was
simulated with the GEANT4 package. The EASs induced by gamma quanta or proton, Helium,
Carbon, Nitrogen, Oxygen, Iron in the energy range of 1 PeV and the zenith angle range from
0°to 45°, are used for these studies. For the identification of high-energy extensive air showers,
a method based on a neural network was suggested. With this method, the proton identification
efficiency is more than 99.9%, while the gamma identification efficiency is not less than 50%
DOI: https://doi.org/10.22323/1.444.0260
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