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arXiv 1402.2872astro-ph.HEastro-ph.IM
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用CoREAS模拟预测并应用于LOFAR测量的空气簇射无线电发射的参数化

A parameterization for the radio emission of air showers as predicted by CoREAS simulations and applied to LOFAR measurements

Anna Nelles, Stijn Buitink, Heino Falcke, Jörg Hörandel, Tim Huege, Pim Schellart

摘要:

测量来自空气簇射的无线电发射提供了直接测量所有空气簇射特性(包括簇射发展)的极好机会。为了在大规模实验中利用这一点,需要对地面上无线电信号的分布进行简单的分析参数化。低频阵列(LOFAR)的数据显示了一个复杂的二维模式的脉冲功率,这是敏感的簇射几何形状。横向信号分布的早期参数化已被证明不足以描述这些数据。在这篇文章中,我们提出了一个参数化来自空气簇射模拟。我们能够用双高斯拟合二维分布,需要五个拟合参数。所有参数都与空气簇射性质(如簇射能量、到达方向和簇射最大值)有很强的相关性。我们成功地应用参数化与LOFAR的数据,并讨论了空气簇射实验的影响。

英文摘要:

Measuring radio emission from air showers provides excellent opportunities to directly measure all air shower properties, including the shower development. To exploit this in large-scale experiments, a simple and analytic parameterization of the distribution of the radio signal at ground level is needed. Data taken with the Low-Frequency Array (LOFAR) show a complex two-dimensional pattern of pulse powers, which is sensitive to the shower geometry. Earlier parameterizations of the lateral signal distribution have proven insufficient to describe these data. In this article, we present a parameterization derived from air-shower simulations. We are able to fit the two-dimensional distribution with a double Gaussian, requiring five fit parameters. All parameters show strong correlations with air shower properties, such as the energy of the shower, the arrival direction, and the shower maximum. We successfully apply the parameterization to data taken with LOFAR and discuss implications for air shower experiments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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