标题： 从大气级联的纵向剖面确定原初宇宙射线质量组成的方法比较 显示英文标题

标题： Comparison between methods for the determination of the primary cosmic ray mass composition from the longitudinal profile of atmospheric cascades

摘要： 从大气级联的纵向发展中确定原初宇宙射线的质量组成仍然是一个有争议的问题。 在本工作中，我们讨论了几种数据分析方法，并表明如果利用纵向剖面中包含的所有信息，可以获得可靠的结果。 在提出的方法中，FCC（'级联曲线拟合'）、MTA（'多参数拓扑分析'）和NNA（'神经网络分析'）结合共轭梯度优化算法给出了最佳的准确性。 显示英文摘要

摘要： The determination of the primary cosmic ray mass composition from the longitudinal development of atmospheric cascades is still a debated issue. In this work we discuss several data analysis methods and show that if the entire information contained in the longitudinal profile is exploited, reliable results may be obtained. Among the proposed methods FCC ('Fit of the Cascade Curve'), MTA ('Multiparametric Topological Analysis') and NNA ('Neural Net Analysis') with conjugate gradient optimization algorithm give the best accuracy.