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首页> 外文期刊>Physics of atomic nuclei >Study of Muons in Ultra-High-Energy Cosmic-Ray Air Showers with the Telescope Array Experiment
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Study of Muons in Ultra-High-Energy Cosmic-Ray Air Showers with the Telescope Array Experiment

机译:用望远镜阵列实验研究超高能量宇宙射线空气淋浴器的μ

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摘要

One of the uncertainties in the interpretation of ultra-high-energy cosmic-ray (UHECR) data comes from the high-energy hadronic interaction models used for air shower Monte-Carlo (MC) simulations. A long-standing problem of the so-called "muon excess", the discrepancy of number of muons predicted by simulations and observed in the data, is believed to be caused by the incompleteness of modern hadronic interaction models, all of which are known to use the extrapolated values of the parameters of hadronic interactions, such as cross sections and multiplicities. The present work is dedicated to the study of muon densities in UHE extensive air showers from the Telescope Array experiment surface detector data. In the 7-year-data from the Telescope Array experiment, we find that the number of particles observed for signals with an expected muon purity of similar to 65% at a lateral distance of 2000 m from the shower core is 1.72 +/- 0.10(stat.) +/- 0.37(syst.) times larger than the MC prediction value using the QGSJETII-03 model for the proton-induced showers. A similar effect is also seen in comparison with other hadronic models such as QGSJETII-04, which shows a 1.67 +/- 0.10 +/- 0.36 excess. We also studied the dependence of these excesses on lateral distances and found a slower decrease of the lateral distribution of muons in the data as compared to the MC, causing larger discrepancy at the larger lateral distances.
机译:解释超高能量宇宙射线(UHECR)数据的一个不确定性来自用于空气淋浴蒙特卡罗(MC)模拟的高能辐射相互作用模型。所谓的“muOn超额”的长期问题,仿真预测并在数据中观察到的数量的差异,被认为是由现代辐射相互作用模型的不完整引起的,所有这些都是已知的使用辐射相互作用参数的外推值,例如横截面和多重性。目前的工作致力于从望远镜阵列实验表面检测器数据中研究UHE广泛的空气淋浴中的μ子密度。在来自望远镜阵列实验的7年数据中,我们发现,从淋浴核心2000米的横向距离时,观察到的信号的粒子数量与预期的μs纯度相似为1.72 +/- 0.10 (stat。)+/- 0.37(SYST。)比MC预测值大于MC预测值,用于使用质子诱导的淋浴器模型。与诸如QGSJETII-04的其他辐射模型相比,还可以看到类似的效果,其显示1.67 +/- 0.10 +/- 0.36过量。我们还研究了这些过度在横向距离上的依赖性,并且与MC相比,数据在数据中横向分布的横向分布较慢,从而在较大的横向距离处导致较大的差异。

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