@article{b7689693f29045bf8bfd4e8d66445667,
title = "Telescope Array Surface Detector Energy and Arrival Direction Estimation Using Deep Learning",
abstract = "A novel ultra-high-energy cosmic rays energy and arrival direction reconstruction method for Telescope Array surface detector is presented. The analysis is based on a deep convolutional neural network using detector signal time series as the input and the network is trained on a large Monte-Carlo dataset. This method is compared in terms of statistical and systematic energy and arrival direction determination errors with the standard Telescope Array surface detector event reconstruction procedure.",
author = "{The Telescope Array Collaboration} and Kalashev, {O. E.} and D. Ivanov and Kuznetsov, {M. Yu} and Rubtsov, {G. I.} and T. Sako and Y. Tsunesada and Zhezher, {Y. V.} and Abbasi, {R. U.} and M. Abe and T. Abu-Zayyad and M. Allen and Y. Arai and E. Barcikowski and Belz, {J. W.} and Bergman, {D. R.} and Blake, {S. A.} and I. Buckland and R. Cady and Cheon, {B. G.} and J. Chiba and M. Chikawa and T. Fujii and K. Fujisue and K. Fujita and R. Fujiwara and M. Fukushima and R. Fukushima and G. Furlich and R. Gonzalez and W. Hanlon and M. Hayashi and N. Hayashida and K. Hibino and R. Higuchi and K. Honda and D. Ikeda and T. Inadomi and N. Inoue and T. Ishii and H. Ito and D. Ivanov and H. Iwakura 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 Kwon, {Y. J.}",
note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s).; 37th International Cosmic Ray Conference, ICRC 2021 ; Conference date: 12-07-2021 Through 23-07-2021",
year = "2022",
month = mar,
day = "18",
language = "English",
volume = "395",
journal = "Proceedings of Science",
issn = "1824-8039",
publisher = "Sissa Medialab Srl",
}