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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

GRAND Collaboration: Rafael Alves Batista , Aurélien Benoit-Lévy , Teresa Bister , Martina Bohacova , Mauricio Bustamante , Washington Carvalho , Yiren Chen , LingMei Cheng
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Simon Chiche Jean-Marc Colley Pablo Correa Nicoleta Cucu Laurenciu Zigao Dai Rogerio M. de Almeida Beatriz de Errico Sijbrand de Jong João R. T. de Mello Neto Krijn D. de Vries Valentin Decoene Peter B. Denton Bohao Duan Kaikai Duan Ralph Engel William Erba Yizhong Fan Arsène Ferrière QuanBu Gou Junhua Gu Marion Guelfand Jianhua Guo Yiqing Guo Claire Guépin Lukas Gülzow Andreas Haungs Matej Havelka Haoning He Eric Hivon Hongbo Hu Xiaoyuan Huang Yan Huang Tim Huege Wen Jiang Ramesh Koirala ChuiZheng Kong Kumiko Kotera Jelena Köhler Bruno L. Lago Zhisen Lai Sandra Le Coz François Legrand Antonios Leisos Rui Li Xingyu Li YiFei Li Cheng Liu Ruoyu Liu Wei Liu Pengxiong Ma Oscar Macias Frédéric Magnard Alexandre Marcowith Olivier Martineau-Huynh Thomas McKinley Paul Minodier Pragati Mitra Miguel Mostafá Kohta Murase Valentin Niess Stavros Nonis Shoichi Ogio Foteini Oikonomou Hongwei Pan Konstantinos Papageorgiou Tanguy Pierog Lech Wiktor Piotrowski Simon Prunet Xiangli Qian Markus Roth Takashi Sako Harm Schoorlemmer Dániel Szálas-Motesiczky Szymon S{l}awiński Xishui Tian Anne Timmermans Charles Timmermans Petr Tobiska Apostolos Tsirigotis Matías Tueros George Vittakis Hanrui Wang Jiale Wang Shen Wang Xiangyu Wang Xu Wang Daming Wei Feng Wei Xiangping Wu Xuefeng Wu Xin Xu Xing Xu Fufu Yang Lili Yang Xuan Yang Qiang Yuan Philippe Zarka Houdun Zeng Chao Zhang Jianli Zhang Kewen Zhang Pengfei Zhang Qingchi Zhang Songbo Zhang Yi Zhang Hao Zhou
This is my paper · ORCID
classification astro-ph.IMhep-exhep-ph
keywords detectiongrandlibgrandneutrinoradiosimulationsarraychallenges
verification ladder T0 review T1 audit T2 compute T3 formal

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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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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Electric field reconstruction with three polarizations for the radio detection of ultra-high energy particles

    astro-ph.IM 2025-01 conditional novelty 4.0 of 10

    A noise-weighted chi-square minimization reconstructs air-shower electric fields from two or three antenna polarizations, with vertical polarization improving peak-amplitude precision by a factor of 3 to 5 in simulations.

  2. Progress of the GRANDProto300 Project

    astro-ph.HE 2025-07 conditional novelty 3.0 of 10

    GRANDProto300 reports deployment progress, radio calibration, detection of solar and galactic radio emission, and one candidate cosmic-ray event with 65 antennas operational.

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