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.

翻译：在2016-2017年，进行了TUS实验，这是世界上第一个测试通过地球夜间大气中的荧光辐射注册超高能宇宙射线（UHECRs）的可能性的实验。自2019年以来，俄罗斯-意大利荧光望远镜Mini-EUSO（“UV Atmosphere”）一直在国际空间站上运行。计划在2023年进行利用望远镜进行UHECRs注册的平流层实验，EUSO-SPB2。我们展示了如何有效地使用简单的卷积神经网络在这些仪器观测到的各种数据中找到径迹点。