Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Mass composition of Telescope Array’s surface detectors events using deep learningopen access
- Authors
- Kharuk, I.; Kalashev, O.; Abbasi, R.U.; Abu-Zayyad, T.; Allen, M.; Arai, Y.; Arimura, R.; Barcikowski, E.; Belz, J.W.; Bergman, D.R.; Blake, S.A.; Buckland, I.; Cady, R.; Cheon, B. G.; Chiba, J.; Chikawa, M.; Fujii, T.; Fujisue, K.; Fujita, K.; Fujiwara, R.; Fukushima, M.; Fukushima, R.; Furlich, G.; Gonzalez, R.; Hanlon, W.; Hayashi, M.; Hayashida, N.; Hibino, K.; Higuchi, R.; Honda, K.; Ikeda, D.; Inadomi, T.; Inoue, N.; Ishii, T.; Ito, H.; Ivanov, D.; Iwakura, H.; Iwasaki, A.; Jeong, H.M.; Jeong, S.; Jui, C.C.H.; Kadota, K.; Kakimoto, F.; Kalashev, O.; Kasahara, K.; Kasami, S.; Kawai, H.; Kawakami, S.; Kawana, S.; Kawata, K.; Kharuk, I.; Kido, E.; Kim, H.B.; Kim, J.H.; Kim, J.H.; Kim, M.H.; Kim, S.W.; Kimura, Y.; Kishigami, S.; Kubota, Y.; Kurisu, S.; Kuzmin, V.; Kuznetsov, M.; Kwon, Y.J.; Lee, K.H.; Lubsandorzhiev, B.; Lundquist, J.P.; Machida, K.; Matsumiya, H.; Matsuyama, T.; Matthews, J.N.; Mayta, R.; Minamino, M.; Mukai, K.; Myers, I.; Nagataki, S.; Nakai, K.; Nakamura, R.; Nakamura, T.; Nakamura, T.; Nakamura, Y.; Nakazawa, A.; Nishio, E.; Nonaka, T.; Oda, H.; Ogio, S.; Ohnishi, M.; Ohoka, H.; Oku, Y.; Okuda, T.; Omura, Y.; Ono, M.; Onogi, R.; Oshima, A.; Ozawa, S.; Park, I.H.; Potts, M.; Pshirkov, M.S.; Remington, J.; Rodriguez, D.C.; Rubtsov, G.I.; Ryu, D.; Sagawa, H.; Sahara, R.; Saito, Y.; Sakaki, N.; Sako, T.; Sakurai, N.; Sano, K.; Sato, K.; Seki, T.; Sekino, K.; Shah, P.D.; Shibasaki, Y.; Shibata, F.; Shibata, N.; Shibata, T.; Shimodaira, H.; Shin, B.K.; Shin, H.S.; Shinto, D.; Smith, J.D.; Sokolsky, P.; Sone, N.; Stokes, B.T.; Stroman, T.A.; Takagi, Y.; Takahashi, Y.; Takamura, M.; Takeda, M.; Takeishi, R.; Taketa, A.; Takita, M.; Tameda, Y.; Tanaka, H.; Tanaka, K.; Tanaka, M.; Tanoue, Y.; Thomas, S.B.; Thomson, G.B.; Tinyakov, P.; Tkachev, I.; Tokuno, H.; Tomida, T.; Troitsky, S.; Tsuda, R.; Tsunesada, Y.; Uchihori, Y.; Udo, S.; Uehama, T.; Urban, F.; Wong, T.; Yada, K.; Yamamoto, M.; Yamazaki, K.; Yang, J.; Yashiro, K.; Yoshida, F.; Yoshioka, Y.; Zhezher, Y.; Zundel, Z.
- Issue Date
- Mar-2022
- Citation
- Proceedings of Science, v.395, pp 1 - 6
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- Proceedings of Science
- Volume
- 395
- Start Page
- 1
- End Page
- 6
- ISSN
- 1824-8039
- Abstract
- We report on an improvement of deep learning techniques used for identifying primary particles of atmospheric air showers. The progress was achieved by using two neural networks. The first works as a classifier for individual events, while the second predicts fractions of elements in an ensemble of events based on the inference of the first network. For a fixed hadronic model, this approach yields an accuracy of 90% in identifying fractions of elements in an ensemble of events.
- Files in This Item
- Go to Link
- Appears in
Collections - 서울 자연과학대학 > 서울 물리학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Cheon, Byung Gu
- COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF PHYSICS)