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Telescope Array Surface Detector Energy and Arrival Direction Estimation Using Deep LearningO. Kalashev,
Jon Paul Lundquist, 2022, objavljeni znanstveni prispevek na konferenci
Opis: 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.
Ključne besede: Telescope Array, indirect detection, surface detection, ground array, ultra-high energy, cosmic rays, energy, arrival directions, reconstruction, machine learning, neural network
Objavljeno v RUNG: 04.10.2023; Ogledov: 1617; Prenosov: 8
Celotno besedilo (1,10 MB)
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