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GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

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arxiv 2408.10926 v2 pith:OPNMIUOP submitted 2024-08-20 astro-ph.IM hep-exhep-ph

GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

GRAND Collaboration: Rafael Alves Batista , Aur\'elien Benoit-L\'evy , Teresa Bister , Martina Bohacova , Mauricio Bustamante , Washington Carvalho , Yiren Chen , LingMei Cheng
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classification astro-ph.IM hep-exhep-ph
keywords detectiongrandlibgrandneutrinoradiosimulationsarraychallenges
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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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