Application of neural networks to classification of data of the TUS orbital telescope

• URL: http://arxiv.org/abs/2106.03361v1
• Date: Mon, 7 Jun 2021 06:31:56 GMT
• Title: Application of neural networks to classification of data of the TUS orbital telescope
• Authors: Mikhail Zotov
• Abstract summary: We employ neural networks for classification of data of the TUS fluorescence telescope. We focus on two types of signals in the TUS data: track-like flashes produced by cosmic ray hits of the photodetector and flashes that originated from distant lightnings.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We employ neural networks for classification of data of the TUS fluorescence telescope, the world's first orbital detector of ultra-high energy cosmic rays. We focus on two particular types of signals in the TUS data: track-like flashes produced by cosmic ray hits of the photodetector and flashes that originated from distant lightnings. We demonstrate that even simple neural networks combined with certain conventional methods of data analysis can be highly effective in tasks of classification of data of fluorescence telescopes.

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