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
收藏
页码：S724 / S730
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