同时使用地面和荧光探测器数据进行初级质量成分分析的新方法
New approach to primary mass composition analysis with simultaneous use of ground and fluorescence detectors data
摘要：
我们研究的可能性重建的主要质量组成的组合使用的基本淋浴特性，在混合动力实验中测量，如从荧光侧和信号在水切伦科夫坦克或在塑料制冷剂从地面侧淋浴最大的深度。为了优化区分性能的淋浴可观的组合，我们采用Fisher的判别分析，并给出统计估计分离的Fisher变量的质子和铁原色的分布。在最后阶段，我们应用多参数拓扑分析，这些分布提取组合物从制备的混合物与已知的分数从不同的初级粒子的阵雨。结果表明，由于高灵敏度的水箱μ子，结合它们与$\xmax$的信号看起来特别有前途的质量成分分析，提供的能量是确定从纵向簇射剖面。
英文摘要：
We study the possibility to reconstruct primary mass composition with the use of combinations of basic shower characteristics, measured in hybrid experiments, such as depth of shower maximum from fluorescence side and signal in water Cherenkov tanks or in plastic scintillators from the ground side. To optimize discrimination performance of shower observables combinations we apply Fisher's discriminant analysis and give statistical estimates of separation of the obtained distributions on Fisher variables for proton and iron primaries. At the final stage we apply Multiparametric Topological Analysis to these distributions to extract composition from prepared mixtures with known fractions of showers from different primary particles. It is shown, that due to high sensitivity of water tanks to muons, combination of signal in them with $\xmax$ looks especially promising for mass composition analysis, provided the energy is determined from longitudinal shower profile.
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