Affiliation of Author(s):电子电气与物理学院
Journal:Journal of Instrumentation
Funded by:省、自治区、直辖市科技项目
Abstract:A toy detector array is designed to detect a shower generated by the interaction between a TeV cosmic ray and the atmosphere. In the present paper, the primary energies of showers detected by the detector array are reconstructed with the algorithm of Bayesian neural networks (BNNs) and a standard method like the LHAASO experiment [1], respectively. Compared to the standard method, the energy resolutions are significantly improved using the BNNs. And the improvement is more obvious for the high energy showers than the low energy ones.
Indexed by:Journal paper
Document Code:8432
Volume:11
Page Number:07006
ISSN No.:1748-0221
Translation or Not:no
Date of Publication:2016-07-12