Air Shower Simulation with a New Generation of post-LHC Hadronic Interaction Models in CORSIKA
Air Shower Simulation with a New Generation of post-LHC Hadronic Interaction Models in CORSIKA
复制标题
在 CORSIKA 中使用新一代 LHC 后强子相互作用模型进行风淋室模拟
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
T. Pierog
中科院分区：
文献类型：
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作者：
T. Pierog
EAS测量的解释强烈依赖于详细的空气簇射模拟。CORSIKA是最常用的蒙特卡罗程序之一。不确定性的主要来源，在预测不同的初级粒子和能量的簇射观测值目前占主导地位的强子相互作用模型之间的差异，即使在最近的更新，考虑到第一个大型强子对撞机的数据。事实上，模型的预测趋于一致，但同时更精确的空气簇射和大型强子对撞机测量引入了新的限制。今年，新一代强子相互作用模型在CORSIKA发布。Sibyll 2.3c和DPMJETIII.17-1将于2017年推出，其中改进了对颗粒生产的描述，特别是对魅力颗粒的生产。这些强子相互作用模型对空气簇射预测的影响在这里提出，并比较后LHC模型，EPOS LHC和QGSJETII-04的第一代。新模型的性能标准的空气簇射观测量的推导。由于物理处理的各种方法，模型预测仍然存在很大的差异，但通过与最新的LHC数据进行比较，这已经可以部分解决。
The interpretation of EAS measurements strongly depends on detailed air shower simulations. CORSIKA is one of the most commonly used air shower Monte Carlo programs. The main source of uncertainty in the prediction of shower observables for different primary particles and energies is currently dominated by differences between hadronic interaction models even after recent updates taking into account the first LHC data. As a matter of fact the model predictions converged but at the same time more precise air shower and LHC measurements introduced new constraints. This year a new generation of hadronic interaction models isreleased in CORSIKA. Sibyll 2.3c and DPMJETIII.17-1 will be available in 2017 with improved description of particle production and in particular the production of charmed particles. The impact of these hadronic interaction models on air shower predictions are presented here and compared to the first generation of post-LHC models, EPOS LHC and QGSJETII-04. The performance of the new models on standard air shower observables is derived. Due to the various approaches in the physics treatment, there are still large differences in the model predictions but this can already be partially resolved by the comparison with the latest LHC data.
影响因子：
5
作者：
Ostapchenko, S.;Bleicher, M.;Werner, K.
通讯作者：
Werner, K.
通过宇宙射线数据约束极高能量下的π介子相互作用
影响因子：
5
作者：
S. Ostapchenko;M. Bleicher
通讯作者：
M. Bleicher