高能宇宙射线大范围空气簇射模拟中去稀疏方法的实现
Implementing the De-thinning Method for High Energy Cosmic Rays Extensive Air Shower Simulations
摘要：
为了模拟宇宙射线与地球大气层的相互作用，需要高度复杂的计算资源，已经开发了几种统计技术来简化这些计算。通常的细化算法是通过在级联的演化中为代表性粒子分配权重来减少二次粒子的数量。然而，由于这是一种具有信息损失的压缩方法，因此需要在不引入人为偏差的情况下恢复二次粒子的原始通量。在这项工作中，我们提出了我们的版本的去薄化算法的初步结果，用于重建宇宙射线和光子在能量范围$10^{15} < E/\mathrm{eV} < 10^{17}$发起的广泛的空气阵雨的薄化模拟。
英文摘要：
To simulate the interaction of cosmic rays with the Earth atmosphere requires highly complex computational resources and several statistical techniques have been developed to simplify those calculations. It is common to implement the thinning algorithms to reduce the number of secondary particles by assigning weights to representative particles in the evolution of the cascade. However, since this is a compression method with information loss, it is required to recover the original flux of secondary particles without introduce artificial biases. In this work we present the preliminary results of our version of the de-thinning algorithm for the reconstruction of thinned simulations of extensive air showers initiated by cosmic rays and photons in the energy range $10^{15} < E/\mathrm{eV} < 10^{17}$.
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