论文标题
$ x _ {\ rm max} $分布的uhecrs质量成分
UHECRs mass composition from $X_{\rm max}$ distributions
论文作者
论文摘要
大气深度的大气沉积物在广泛的空气淋浴中的二级颗粒（EAS）达到其最大值，$ x _ {\ rm max} $与主要粒子质量有关。通过在每个能量间隔中的$ x _ {\ rm max} $分布的测量中，可以通过将这些分布与蒙特卡洛（MC）模板拟合到四个主要物种（p，he，n和fe），从每个能量间隔中的$ x _ {\ rm max} $分布中推断出超高能宇宙射线（UHECR）的质量组成。在模拟的基础上，我们表明$ x _ {\ rm max} $发行中的某些中间元素的高丰度，例如。 NE或SI可能会影响拟合的质量以及不同物种相对于其真实值的重建部分。我们提出了一种方法，可以从较大的初选中找到每个能量间隔中元素的“最佳组合”（p，he，c，n，o，ne，si和fe），该方法最能描述$ x _ {\ rm max} $分布。将此方法应用于Pierre Auger天文台（2014）测量的$ x _ {\ rm max} $分布，我们发现最能描述数据的元素的“最佳组合”表明，NE或SI在某些低能量箱中存在于某些低能能箱中，用于EPOS-LHC模型。
The atmospheric depth where the energy deposit profile of secondary particles from extensive air showers (EAS) reaches its maximum, $X_{\rm max}$, is related to the primary particle mass. The mass composition of the ultra-high energy cosmic rays (UHECRs) can be inferred from measurements of $X_{\rm max}$ distributions in each energy interval, by fitting these distributions with Monte Carlo (MC) templates for four primary species (p, He, N and Fe). On the basis of simulations, we show that a high abundance of some intermediate elements in the $X_{\rm max}$ distributions, e.g. Ne or Si, may affect the quality of the fit and also the reconstructed fractions of different species with respect to their true values. We propose a method for finding the "best combination" of elements in each energy interval from a larger set of primaries (p, He, C, N, O, Ne, Si and Fe) which best describes the $X_{\rm max}$ distributions. Applying this method to the $X_{\rm max}$ distributions measured by the Pierre Auger Observatory (2014), we found that the "best combination" of elements which best describe the data suggest the presence of Ne or Si in some low energy bins for the EPOS-LHC model.
