Monte Carlo Simulation of the TAIGA Experiment

E. B. Postnikov; I. I. Astapov; P. A. Bezyazeekov; V. F. Boreyko; A. N. Borodin; M. Brueckner; N. M. Budnev; A. Chiavassa; A. N. Dyachok; O. L. Fedorov; A. R. Gafarov; A. Yu. Garmash; N. V. Gorbunov; V. M. Grebenyuk; O. A. Gress; T. I. Gress; O. G. Grishin; A. A. Grinyuk; D. Horns; A. L. Ivanova; N. N. Kalmykov; Y. A. Kazarina; V. V. Kindin; S. N. Kiryuhin; P. S. Kirilenko; R. P. Kokoulin; K. G. Kompaniets; E. E. Korosteleva; V. A. Kozhin; E. A. Kravchenko; M. Kunnas; A. A. Lagutin; L. A. Kuzmichev; Yu. Lemeshev; V. V. Lenok; B. K. Lubsandorzhiev; N. B. Lubsandorzhiev; R. R. Mirgazov; R. Mirzoyan; R. D. Monkhoev; E. A. Osipova; A. L. Pakhorukov; M. I. Panasyuk; L. V. Pankov; A. A. Petrukhin; V. A. Poleschuk; M. Popescu; E. G. Popova; A. Porelli; E. B. Postnikov; V. V. Prosin; V. S. Ptuskin; E. V. Rjabov; G. I. Rubtsov; A. A. Pushnin; R. I. Raikin; Y. I. Sagan; B. M. Sabirov; V. S. Samoliga; Yu. A. Semeney; A. A. Silaev; A. A. Silaev; A. Yu. Sidorenkov; A. V. Skurikhin; M. Slunecka; A. V. Sokolov; C. Spiering; L. G. Sveshnikova; V. A. Tabolenko; B. A. Tarashansky; A. V. Tkachenko; L. G. Tkachev; M. Tluczykont; R. Wischnewski; A. V. Zagorodnikov; D. P. Zhurov; V. L. Zurbanov; I. I. Yashin

doi:10.3103/S1062873819080331

Monte Carlo Simulation of the TAIGA Experiment

Authors: Postnikov E.B.¹, Astapov I.I.², Bezyazeekov P.A.³, Boreyko V.F.⁴, Borodin A.N.⁴, Brueckner M.⁵, Budnev N.M.³, Chiavassa A.⁶, Dyachok A.N.³, Fedorov O.L.³, Gafarov A.R.³, Garmash A.Y.⁷^,8, Gorbunov N.V.⁴, Grebenyuk V.M.⁴^,9, Gress O.A.³, Gress T.I.³, Grishin O.G.³, Grinyuk A.A.⁴, Horns D.¹⁰, Ivanova A.L.³, Kalmykov N.N.¹, Kazarina Y.A.³, Kindin V.V.², Kiryuhin S.N.³, Kirilenko P.S.⁷, Kokoulin R.P.², Kompaniets K.G.², Korosteleva E.E.¹, Kozhin V.A.¹, Kravchenko E.A.⁷^,8, Kunnas M.¹⁰, Lagutin A.A.¹¹, Kuzmichev L.A.¹, Lemeshev Y.³, Lenok V.V.³, Lubsandorzhiev B.K.¹², Lubsandorzhiev N.B.¹, Mirgazov R.R.³, Mirzoyan R.¹³^,3, Monkhoev R.D.³, Osipova E.A.¹, Pakhorukov A.L.³, Panasyuk M.I.¹, Pankov L.V.³, Petrukhin A.A.², Poleschuk V.A.³, Popescu M.¹⁴, Popova E.G.¹, Porelli A.⁵, Postnikov E.B.², Prosin V.V.¹, Ptuskin V.S.¹⁵, Rjabov E.V.³, Rubtsov G.I.¹², Pushnin A.A.³, Raikin R.I.¹¹, Sagan Y.I.⁴^,9, Sabirov B.M.⁴, Samoliga V.S.³, Semeney Y.A.³, Silaev A.A.¹, Silaev A.A.¹, Sidorenkov A.Y.¹², Skurikhin A.V.¹, Slunecka M.⁴, Sokolov A.V.⁷^,8, Spiering C.⁵, Sveshnikova L.G.¹, Tabolenko V.A.³, Tarashansky B.A.³, Tkachenko A.V.⁴, Tkachev L.G.⁴^,9, Tluczykont M.¹⁰, Wischnewski R.⁵, Zagorodnikov A.V.³, Zhurov D.P.³, Zurbanov V.L.³, Yashin I.I.²
Affiliations:
1. Skobeltsyn Institute of Nuclear Physics, Moscow State University
2. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
3. Research Institute of Applied Physics, Irkutsk State University
4. Joint Institute for Nuclear Research
5. Deutsches Elektronen-Synchrotron (DESY)
6. Department of Physics, University of Torino and Istituto Nazionale di Fisica Nucleare
7. Novosibirsk State University
8. Budker Institute of Nuclear Physics, Siberian Branch, Russian Academy of Sciences
9. Dubna University
10. Institut für Experimentalphysik, Universität Hamburg
11. Altai State University
12. Institute for Nuclear Research, Russian Academy of Sciences
13. Max Planck Institute for Physics
14. Space Science Institute
15. Pushkov Institute of Terrestrial Magnetism, the Ionosphere, and Radio Wave Propagation, Russian Academy of Sciences
Issue: Vol 83, No 8 (2019)
Pages: 955-958
Section: Article
URL: https://journals.rcsi.science/1062-8738/article/view/187486
DOI: https://doi.org/10.3103/S1062873819080331
ID: 187486

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Abstract

The TAIGA (Tunka Advanced Instrument for cosmic ray physics and Gamma-ray Astronomy) experiment aims at observing gamma-rays in the energy range from 1 TeV to several 100 TeV. The operation of the observatory is based on a new hybrid approach that combines imaging air Cherenkov telescopes (IACTs) and wide-angle Cherenkov detectors (TAIGA-HiSCORE) for measuring times of extensive air shower (EAS) light front arrival. Monte Carlo simulations are compared to real data to determine the performance of the detector setup. Dedicated software and algorithms are described, model parameters are given, and an overview of the current status of model-based performance studies is presented.

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Monte Carlo Simulation of the TAIGA Experiment

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