Search for EeV photon–induced events at the Telescope Array

Telescope Array Collaboration

Search for EeV photon–induced events at the Telescope Array

Telescope Array Collaboration

Department of Physics

Institute for Nuclear Research of the Russian Academy of Sciences
Moscow Institute of Physics and Technology
Novosibirsk State University
Loyola University Chicago
Shinshu University
University of Utah
Osaka Metropolitan University
Hanyang University
The University of Tokyo
Academia Sinica - Institute of Physics
RIKEN
Kanagawa University
University of Yamanashi
Saitama University
Sungkyunkwan University
Tokyo City University
Shibaura Institute of Technology
Osaka Electro-Communication University

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

2 Scopus citations

Abstract

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.

Original language	English
Article number	324
Journal	Proceedings of Science
Volume	444
State	Published - 27 Sep 2024
Event	38th International Cosmic Ray Conference, ICRC 2023 - Nagoya, Japan Duration: 26 Jul 2023 → 3 Aug 2023

Cite this

@article{b9c90993eb0e48558f27e440fa4bbc68,

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 = "\{Telescope Array Collaboration\} and I. Kharuk and G. Rubtsov and M. Kuznetsov and Abbasi, \{R. U.\} and Y. Abe and T. Abu-Zayyad and M. Allen and Y. Arai and R. Arimura and E. Barcikowski and Belz, \{J. W.\} and Bergman, \{D. R.\} and Blake, \{S. A.\} and I. Buckland and Cheon, \{B. G.\} and M. Chikawa and A. Fedynitch and T. Fujii and K. Fujisue and K. Fujita and R. Fujiwara and M. Fukushima and G. Furlich and Z. Gerber and N. Globus and W. Hanlon and N. Hayashida and H. He and R. Hibi and K. Hibino and R. Higuchi and K. Honda and D. Ikeda and N. Inoue and T. Ishii and H. Ito and D. Ivanov and A. Iwasaki and Jeong, \{H. M.\} and S. Jeong and Jui, \{C. C.H.\} and K. Kadota and F. Kakimoto and O. Kalashev and K. Kasahara and S. Kasami and S. Kawakami and K. Kawata and I. Kharuk and Lee, \{M. J.\}",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s) under the terms of the Creative Commons.; 38th International Cosmic Ray Conference, ICRC 2023 ; Conference date: 26-07-2023 Through 03-08-2023",

year = "2024",

month = sep,

day = "27",

language = "English",

volume = "444",

journal = "Proceedings of Science",

issn = "1824-8039",

publisher = "Sissa Medialab Srl",

}

TY - JOUR

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

AU - Telescope Array Collaboration

AU - Kharuk, I.

AU - Rubtsov, G.

AU - Kuznetsov, M.

AU - Abbasi, R. U.

AU - Abe, Y.

AU - Abu-Zayyad, T.

AU - Allen, M.

AU - Arai, Y.

AU - Arimura, R.

AU - Barcikowski, E.

AU - Belz, J. W.

AU - Bergman, D. R.

AU - Blake, S. A.

AU - Buckland, I.

AU - Cheon, B. G.

AU - Chikawa, M.

AU - Fedynitch, A.

AU - Fujii, T.

AU - Fujisue, K.

AU - Fujita, K.

AU - Fujiwara, R.

AU - Fukushima, M.

AU - Furlich, G.

AU - Gerber, Z.

AU - Globus, N.

AU - Hanlon, W.

AU - Hayashida, N.

AU - He, H.

AU - Hibi, R.

AU - Hibino, K.

AU - Higuchi, R.

AU - Honda, K.

AU - Ikeda, D.

AU - Inoue, N.

AU - Ishii, T.

AU - Ito, H.

AU - Ivanov, D.

AU - Iwasaki, A.

AU - Jeong, H. M.

AU - Jeong, S.

AU - Jui, C. C.H.

AU - Kadota, K.

AU - Kakimoto, F.

AU - Kalashev, O.

AU - Kasahara, K.

AU - Kasami, S.

AU - Kawakami, S.

AU - Kawata, K.

AU - Kharuk, I.

AU - Lee, M. J.

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/pages/publications/85183379134

M3 - Conference article

AN - SCOPUS:85183379134

SN - 1824-8039

VL - 444

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 324

T2 - 38th International Cosmic Ray Conference, ICRC 2023

Y2 - 26 July 2023 through 3 August 2023

ER -

Search for EeV photon–induced events at the Telescope Array

Abstract

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