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Search for EeV photon-induced events at the Telescope Array. / The Telescope Array Collaboration; Kharuk, I.; Рубцов, Григорий Игоревич и др.

в: Proceedings of Science, Том 444, 324, 27.09.2024.

Результаты исследований: Научные публикации в периодических изданияхстатья по материалам конференцииРецензирование

Harvard

The Telescope Array Collaboration, Kharuk, I, Рубцов, ГИ & Kuznetsov, MY 2024, 'Search for EeV photon-induced events at the Telescope Array', Proceedings of Science, Том. 444, 324. https://doi.org/10.22323/1.444.0324

APA

The Telescope Array Collaboration, Kharuk, I., Рубцов, Г. И., & Kuznetsov, M. Y. (2024). Search for EeV photon-induced events at the Telescope Array. Proceedings of Science, 444, [324]. https://doi.org/10.22323/1.444.0324

Vancouver

The Telescope Array Collaboration, Kharuk I, Рубцов ГИ, Kuznetsov MY. Search for EeV photon-induced events at the Telescope Array. Proceedings of Science. 2024 сент. 27;444:324. doi: 10.22323/1.444.0324

Author

The Telescope Array Collaboration ; Kharuk, I. ; Рубцов, Григорий Игоревич и др. / Search for EeV photon-induced events at the Telescope Array. в: Proceedings of Science. 2024 ; Том 444.

BibTeX

@article{c2a28827ba1d429799dc64b48cf30353,
title = "Search for EeV photon-induced events at the Telescope Array",
abstract = "We report on the updated results on the search for photon-like-induced events in the data, collected by Telescope Array{\textquoteright}s Surface Detectors during the last 14 years. In order to search for photon-like-induced events, we trained a neural network on Monte-Carlo simulated data to distinguish between the proton-induced and photon-induced air showers. Both reconstructed composition-sensitive parameters and raw signals registered by the Surface Detectors are used as input data for the neural network. The classification threshold was optimized to provide the strongest possible constraint on the photons{\textquoteright} flux.",
author = "{The Telescope Array Collaboration} and I. Kharuk and Рубцов, {Григорий Игоревич} and Kuznetsov, {M. Yu}",
note = "The Telescope Array experiment is supported by the Japan Society for the Promotion of Science(JSPS) through Grants-in-Aid for Priority Area 431, for Specially Promoted Research JP21000002, for Scientific Research (S) JP19104006, for Specially Promoted Research JP15H05693, for Scientific Research (S) JP19H05607, for Scientific Research (S) JP15H05741, for Science Research (A) JP18H03705, for Young Scientists (A) JPH26707011, and for Fostering Joint International Research (B) JP19KK0074, by the joint research program of the Institute for Cosmic Ray Research (ICRR), The University of Tokyo; by the Pioneering Program of RIKEN for the Evolution of Matter in the Universe (r-EMU); by the U.S. National Science Foundation awards PHY-1806797, PHY-2012934, PHY-2112904, PHY-2209583, and PHY-2209584 as well as AGS-1613260, AGS1844306, and AGS-2112709; by the National Research Foundation of Korea (2017K1A4A3015188, 2020R1A2C1008230, & 2020R1A2C2102800) ; by the Russian Science Foundation grant 22-22- 20063, IISN project No. 4.4501.18, by the Belgian Science Policy under IUAP VII/37 (ULB), by National Science Centre in Poland grant 2020/37/B/ST9/01821. This work was partially supported by the grants of the joint research program of the Institute for Space-Earth Environmental Research, Nagoya University and Inter-University Research Program of the Institute for Cosmic Ray Research of University of Tokyo. The foundations of Dr. Ezekiel R. and Edna Wattis Dumke, Willard L. Eccles, and George S. and Dolores Dor{\'e} Eccles all helped with generous donations. The State of Utah supported the project through its Economic Development Board, and the University of Utah through the Office of the Vice President for Research. The experimental site became available through the cooperation of the Utah School and Institutional Trust Lands Administration (SITLA), U.S. Bureau of Land Management (BLM), and the U.S. Air Force. We appreciate the assistance of the State of Utah and Fillmore offices of the BLM in crafting the Plan of Development for the site. We thank Patrick A. Shea who assisted the collaboration with much valuable advice and provided support for the collaborations efforts. The people and the officials of Millard County, Utah have been a source of steadfast and warm support for our work which we greatly appreciate. We are indebted to the Millard County Road Department for their efforts to maintain and clear the roads which get us to our sites. We gratefully acknowledge the contribution from the technical staffs of our home institutions. An allocation of computing resources from the Center for High Performance Computing at the University of Utah as well as the Academia Sinica Grid Computing Center (ASGC) is gratefully acknowledged. Публикация для корректировки.; 38th International Cosmic Ray Conference, ICRC 2023 ; Conference date: 26-07-2023 Through 03-08-2023",
year = "2024",
month = sep,
day = "27",
doi = "10.22323/1.444.0324",
language = "English",
volume = "444",
journal = "Proceedings of Science",
issn = "1824-8039",
publisher = "Sissa Medialab Srl",

}

RIS

TY - JOUR

T1 - Search for EeV photon-induced events at the Telescope Array

AU - The Telescope Array Collaboration

AU - Kharuk, I.

AU - Рубцов, Григорий Игоревич

AU - Kuznetsov, M. Yu

N1 - Conference code: 38

PY - 2024/9/27

Y1 - 2024/9/27

N2 - We report on the updated results on the search for photon-like-induced events in the data, collected by Telescope Array’s Surface Detectors during the last 14 years. In order to search for photon-like-induced events, we trained a neural network on Monte-Carlo simulated data to distinguish between the proton-induced and photon-induced air showers. Both reconstructed composition-sensitive parameters and raw signals registered by the Surface Detectors are used as input data for the neural network. The classification threshold was optimized to provide the strongest possible constraint on the photons’ flux.

AB - We report on the updated results on the search for photon-like-induced events in the data, collected by Telescope Array’s Surface Detectors during the last 14 years. In order to search for photon-like-induced events, we trained a neural network on Monte-Carlo simulated data to distinguish between the proton-induced and photon-induced air showers. Both reconstructed composition-sensitive parameters and raw signals registered by the Surface Detectors are used as input data for the neural network. The classification threshold was optimized to provide the strongest possible constraint on the photons’ flux.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85183379134&origin=inward&txGid=683fe199a40f2338755e7847735d2af5

UR - https://www.mendeley.com/catalogue/aee62e5a-e281-3b06-bfc0-d8ee17f0dd99/

U2 - 10.22323/1.444.0324

DO - 10.22323/1.444.0324

M3 - Conference article

VL - 444

JO - Proceedings of Science

JF - Proceedings of Science

SN - 1824-8039

M1 - 324

T2 - 38th International Cosmic Ray Conference

Y2 - 26 July 2023 through 3 August 2023

ER -

ID: 62700473