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arXiv · 2408.10926

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

GRAND Collaboration·Rafael Alves Batista·Aurélien Benoit-Lévy·Teresa Bister·Martina Bohacova·Mauricio Bustamante·Washington Carvalho·Yiren Chen·LingMei Cheng·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 Sławiński·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
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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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GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy, Teresa Bister, Martina Bohacova, Mauricio Bustamante, Washington Carvalho, Yiren Chen, LingMei Cheng, 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 Sławiński, 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. 2024-08-20. GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND). https://doi.org/10.1016/j.cpc.2024.109461

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