论文标题
大气Lepton通量计算的数据驱动的HADRONIC交互模型
Data-driven hadronic interaction model for atmospheric lepton flux calculations
论文作者
论文摘要
对大气中微子通量计算的不确定性的主要贡献是由宇宙射线核能通量和强子空气相互作用中二级颗粒的产量横切产生的。在这项工作中开发的数据驱动模型参数为固定目标加速器数据的粒子产量。从加速器数据到包容性的通量和中微子通量预测的错误传播导致的不确定性较小，而大气通量数据的描述很好。该模型作为MCEQ软件包的一部分实现，因此可以灵活地用于中微子望远镜的理论通量误差估计。
The leading contribution to the uncertainties of atmospheric neutrino flux calculations arise from the cosmic-ray nucleon flux and the production cross sections of secondary particles in hadron-air interactions. The data-driven model developed in this work parametrizes particle yields from fixed-target accelerator data. The propagation of errors from the accelerator data to the inclusive muon and neutrino flux predictions results in smaller uncertainties than in previous estimates, and the description of atmospheric flux data is good. The model is implemented as part of the MCEq package, and hence can be flexibly employed for theoretical flux error estimation at neutrino telescopes.
