PoS - Proceedings of Science
Volume 395 - 37th International Cosmic Ray Conference (ICRC2021) - CRI - Cosmic Ray Indirect
Mass composition of Telescope Array's surface detectors events using deep learning
I. Kharuk* and O. Kalashev
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Pre-published on: July 24, 2021
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Abstract
We report on an improvement of deep learning techniques used for identifying primary particles of atmospheric air showers. The progress was achieved by using two neural networks. The first works as a classifier for individual events, while the second predicts fractions of elements in an ensemble of events based on the inference of the first network. For a fixed hadronic model, this approach yields an accuracy of 90% in identifying fractions of elements in an ensemble of events.
DOI: https://doi.org/10.22323/1.395.0384
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