A Neural Network Approach for Selecting Track-like Events in Fluorescence Telescope Data [IMA]

http://arxiv.org/abs/2212.03787


In 2016-2017, TUS, the world’s first experiment for testing the possibility of registering ultra-high energy cosmic rays (UHECRs) by their fluorescent radiation in the night atmosphere of Earth was carried out. Since 2019, the Russian-Italian fluorescence telescope (FT) Mini-EUSO (“UV Atmosphere”) has been operating on the ISS. The stratospheric experiment EUSO-SPB2, which will employ an FT for registering UHECRs, is planned for 2023. We show how a simple convolutional neural network can be effectively used to find track-like events in the variety of data obtained with such instruments.

Read this paper on arXiv…

M. Zotov and D. Sokolinskii
Thu, 8 Dec 22
15/63

Comments: 5 pages, to be published in proceedings of the 37th Russian Cosmic Ray Conference (2022)