摘要
The muonic component of the extensive air showers (EAS) is of great importance for the astroparticle physics. It carries the information about the properties of primary cosmic ray (CR) particles, such as their mass, and electromagnetic and hadronic nature. It provides a sensitive test for the hadronic interaction models, which are inevitable for describing the cascade shower development of cosmic rays in EAS experiments. The YangBaJing Hybrid Array (YBJ-HA) experiment has been in operation since the end of 2016. Surface detectors are used for the measurements of primary energy, angular direction and core position of a shower event, while underground muon detectors are used for measuring the density of muons at various locations. Using the data obtained by the YBJ-HA experiment,this work reports the first measurement of the lateral muon distribution for the primary cosmic ray energy in the 100TeV region. The punch-through effect is evaluated via MC simulation.
The muonic component of the extensive air showers(EAS) is of great importance for the astroparticle physics. It carries the information about the properties of primary cosmic ray(CR) particles, such as their mass, and electromagnetic and hadronic nature. It provides a sensitive test for the hadronic interaction models, which are inevitable for describing the cascade shower development of cosmic rays in EAS experiments. The YangBaJing Hybrid Array(YBJ-HA) experiment has been in operation since the end of 2016. Surface detectors are used for the measurements of primary energy, angular direction and core position of a shower event, while underground muon detectors are used for measuring the density of muons at various locations. Using the data obtained by the YBJ-HA experiment,this work reports the first measurement of the lateral muon distribution for the primary cosmic ray energy in the 100 TeV region. The punch-through effect is evaluated via MC simulation.
作者
冯有亮
张毅
陈天禄
郭义庆
胡红波
刘成
辛广广
姚玉华
王振
单增罗布
高启
刘茂元
赵世平
乔冰强
郭莹莹
蔡晖
You-Liang Feng;Yi Zhang;Tian-Lu Chen;Yi-Qing Guo;Hong-Bo Hu;Cheng Liu;Guang-Guang Xin;Yu-Hua Yao;Zhen Wang;DANZENGLUOBU;Qi Gao;Mao-Yuan Liu;Shi-Ping Zhao;Bing-Qiang Qiao;Ying-Ying Guo;Hui Cai
基金
Supported by National Key R&D Program of China(2018YFA0404202)
National Natural Science Foundation of China(11635011,11761141001,11765019,11775233)
