Volume 395 - 37th International Cosmic Ray Conference (ICRC2021) - CRI - Cosmic Ray Indirect
Telescope Array Surface Detector Energy and Arrival Direction Estimation Using Deep Learning
O. Kalashev*, D. Ivanov, M. Kuznetsov, G. Rubtsov, T. Sako, Y. Tsunesada, Y. Zhezher and  On behalf of the Telescope Array collaboration
*: corresponding author
Full text: pdf
Pre-published on: July 08, 2021
Published on: March 18, 2022
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.
DOI: https://doi.org/10.22323/1.395.0252
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