Evaluating EAS Directions from TAIGA HiSCORE Data Using Fully Connected Neural Networks

被引：0

作者：

A. P. Kryukov ^{[1
]}

S. P. Polyakov ^{[1
]}

Yu. Yu. Dubenskaya ^{[1
]}

E. O. Gres ^{[1
]}

E. B. Postnikov ^{[2
]}

P. A. Volchugov ^{[1
]}

D. P. Zhurov ^{[1
]}

机构：

[1] Skobeltsyn Institute of Nuclear Physics,

[2] Lomonosov Moscow State University,undefined

[3] Research Institute of Applied Physics,undefined

[4] Irkutsk State University,undefined

来源：

Moscow University Physics Bulletin | 2024年 / 79卷 / Suppl 2期

关键词：

extensive area shower; EAS direction; Cherenkov detector; machine learning; artificial neural network; multilayer perceptron; skip connections;

D O I：

10.3103/S0027134924702199

中图分类号：

学科分类号：

摘要：

引用

页码：S724 / S730

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