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GRANDlib: A Simulation Pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

Computer Physics Communications(2024)

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Abstract
The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses significant computational challenges involving the production of numerous simulations of particle showers and their detection, and a high data throughput. GRANDlib is an open-source software tool designed to meet these challenges. Its primary goal is to perform end-to-end simulations of the detector operation, from the interaction of ultra-high-energy particles, through – by interfacing with external air-shower simulations – the ensuing particle shower development and its radio emission, to its detection by antenna arrays and its processing by data-acquisition systems. Additionally, GRANDlib manages the visualization, storage, and retrieval of experimental and simulated data. We present an overview of GRANDlib to serve as the basis of future GRAND analyses.
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要点】:本文介绍了GRANDlib,一个为Giant Radio Array for Neutrino Detection(GRAND)实验设计的开源模拟管道,用于处理粒子淋浴和检测的复杂计算挑战,实现从粒子相互作用到数据处理的端到端模拟。

方法】:GRANDlib通过接口外部空气淋浴模拟,进行粒子淋浴发展和其无线电发射的模拟,以及通过天线阵列检测和数据处理系统的处理。

实验】:作者展示了GRANDlib的概览,并说明了该工具在实验和模拟数据可视化、存储和检索方面的功能,但未具体提及所使用的数据集名称和实验结果。