A combined study of HiSCORE and TAIGA scintillation detector array for the identification of EASs

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A combined study of HiSCORE and TAIGA scintillation detector array for the identification of EASs. / the TAIGA Collaboration.

In: Proceedings of Science, Vol. 444, 260, 27.09.2024.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{77e8534caea1437d8c95f9d3c0515009,

title = "A combined study of HiSCORE and TAIGA scintillation detector array for the identification of EASs",

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%.",

author = "{the TAIGA Collaboration} and Arun Vaidyanathan and I Astapov and P Bezyazeekov and E Bonvech and A Borodin and Budnev, {N M} and A Bulan and D Chernov and A Chiavassa and Dyachok, {A N} and Gafarov, {A R} and A Garmash and V Grebenyuk and E Gress and O Gress and Gress, {T I} and A Grinyuk and O Grishin and Alexandra Ivanova and Anna Ivanova and M Iliushin and Kalmykov, {N N} and V Kindin and S Kiryuhin and R Kokoulin and N Kolosov and K Kompaniets and E Korosteleva and V Kozhin and E Kravchenko and A Kryukov and L Kuzmichev and A Lagutin and Lavrova, {M V} and Yu Lemeshev and B Lubsandorzhiev and N Lubsandorzhiev and S Malakhov and Mirgazov, {R A} and R Monkhoev and E Okuneva and E Osipova and A Pakhorukov and L Pankov and A Pan and A Panov and A Petrukhin and D Podgrudkov and E Popova and A Sokolov",

note = "The work was performed at the UNU “Astrophysical Complex of MSU-ISU” (agreements 13.UNU.21.0007, EB-075-15-2021-675). The work is supported by the Russian Science Foundation, 23-72-00054 (Sections 4,5)), the Russian Federation Ministry of Science and High Education (projects FZZE-2020-0024, FZZE-2023-0004, FSUS- 2022-0015 and FSUS-2020-0039).; 38th International Cosmic Ray Conference, ICRC2023 ; Conference date: 26-07-2023 Through 03-08-2023",

year = "2024",

month = sep,

day = "27",

doi = "10.22323/1.444.0260",

language = "English",

volume = "444",

journal = "Proceedings of Science",

issn = "1824-8039",

publisher = "Sissa Medialab Srl",

url = "https://www.icrc2023.org/",

}

RIS

TY - JOUR

T1 - A combined study of HiSCORE and TAIGA scintillation detector array for the identification of EASs

AU - the TAIGA Collaboration

AU - Vaidyanathan, Arun

AU - Astapov, I

AU - Bezyazeekov, P

AU - Bonvech, E

AU - Borodin, A

AU - Budnev, N M

AU - Bulan, A

AU - Chernov, D

AU - Chiavassa, A

AU - Dyachok, A N

AU - Gafarov, A R

AU - Garmash, A

AU - Grebenyuk, V

AU - Gress, E

AU - Gress, O

AU - Gress, T I

AU - Grinyuk, A

AU - Grishin, O

AU - Ivanova, Alexandra

AU - Ivanova, Anna

AU - Iliushin, M

AU - Kalmykov, N N

AU - Kindin, V

AU - Kiryuhin, S

AU - Kokoulin, R

AU - Kolosov, N

AU - Kompaniets, K

AU - Korosteleva, E

AU - Kozhin, V

AU - Kravchenko, E

AU - Kryukov, A

AU - Kuzmichev, L

AU - Lagutin, A

AU - Lavrova, M V

AU - Lemeshev, Yu

AU - Lubsandorzhiev, B

AU - Lubsandorzhiev, N

AU - Malakhov, S

AU - Mirgazov, R A

AU - Monkhoev, R

AU - Okuneva, E

AU - Osipova, E

AU - Pakhorukov, A

AU - Pankov, L

AU - Pan, A

AU - Panov, A

AU - Petrukhin, A

AU - Podgrudkov, D

AU - Popova, E

AU - Sokolov, A

N1 - Conference code: 38

PY - 2024/9/27

Y1 - 2024/9/27

N2 - 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%.

AB - 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%.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85212264805&origin=inward&txGid=ab912cd542438f71d7ea7eda3271f296

UR - https://www.mendeley.com/catalogue/926e09aa-09ee-366e-8e5b-07a271eb303d/

U2 - 10.22323/1.444.0260

DO - 10.22323/1.444.0260

M3 - Conference article

VL - 444

JO - Proceedings of Science

JF - Proceedings of Science

SN - 1824-8039

M1 - 260

T2 - 38th International Cosmic Ray Conference

Y2 - 26 July 2023 through 3 August 2023

ER -

ID: 62699330