GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)
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.
Cite
@article{arxiv.2408.10926,
title = {GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)},
author = {GRAND Collaboration and Rafael Alves Batista and Aurélien Benoit-Lévy and Teresa Bister and Martina Bohacova and Mauricio Bustamante and Washington Carvalho and Yiren Chen and LingMei Cheng and Simon Chiche and Jean-Marc Colley and Pablo Correa and Nicoleta Cucu Laurenciu and Zigao Dai and Rogerio M. de Almeida and Beatriz de Errico and Sijbrand de Jong and João R. T. de Mello Neto and Krijn D. de Vries and Valentin Decoene and Peter B. Denton and Bohao Duan and Kaikai Duan and Ralph Engel and William Erba and Yizhong Fan and Arsène Ferrière and QuanBu Gou and Junhua Gu and Marion Guelfand and Jianhua Guo and Yiqing Guo and Claire Guépin and Lukas Gülzow and Andreas Haungs and Matej Havelka and Haoning He and Eric Hivon and Hongbo Hu and Xiaoyuan Huang and Yan Huang and Tim Huege and Wen Jiang and Ramesh Koirala and ChuiZheng Kong and Kumiko Kotera and Jelena Köhler and Bruno L. Lago and Zhisen Lai and Sandra Le Coz and François Legrand and Antonios Leisos and Rui Li and Xingyu Li and YiFei Li and Cheng Liu and Ruoyu Liu and Wei Liu and Pengxiong Ma and Oscar Macias and Frédéric Magnard and Alexandre Marcowith and Olivier Martineau-Huynh and Thomas McKinley and Paul Minodier and Pragati Mitra and Miguel Mostafá and Kohta Murase and Valentin Niess and Stavros Nonis and Shoichi Ogio and Foteini Oikonomou and Hongwei Pan and Konstantinos Papageorgiou and Tanguy Pierog and Lech Wiktor Piotrowski and Simon Prunet and Xiangli Qian and Markus Roth and Takashi Sako and Harm Schoorlemmer and Dániel Szálas-Motesiczky and Szymon Sławiński and Xishui Tian and Anne Timmermans and Charles Timmermans and Petr Tobiska and Apostolos Tsirigotis and Matías Tueros and George Vittakis and Hanrui Wang and Jiale Wang and Shen Wang and Xiangyu Wang and Xu Wang and Daming Wei and Feng Wei and Xiangping Wu and Xuefeng Wu and Xin Xu and Xing Xu and Fufu Yang and Lili Yang and Xuan Yang and Qiang Yuan and Philippe Zarka and Houdun Zeng and Chao Zhang and Jianli Zhang and Kewen Zhang and Pengfei Zhang and Qingchi Zhang and Songbo Zhang and Yi Zhang and Hao Zhou},
journal= {arXiv preprint arXiv:2408.10926},
year = {2024}
}
Comments
11 pages, 9 figures, plus appendices; Matches published version