The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 38th International Cosmic Ray Conference (ICRC 2023)
2023
academicJournal
Zugriff:
The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses large surface arrays of autonomous radio-detection units to look for the radio emission from extensive air showers that are triggered by the interaction of ultra-high-energy cosmic rays, gamma rays, and neutrinos in the atmosphere or underground. In particular, for ultra-high-energy neutrinos, the future final phase of GRAND aims to be sensitive enough to discover them in spite of their plausibly tiny flux. Presently, three prototype GRAND radio arrays are in operation: GRANDProto300, in China, GRAND@Auger, in Argentina, and GRAND@Nancay, in France. Their goals are to field-test the design of the radio-detection units, understand the radio background to which they are exposed, and develop tools for diagnostic, data gathering, and data analysis. This list of contributions to the 38th International Cosmic Ray Conference (ICRC 2023) presents an overview of GRAND, in its present and future incarnations, and a look at the first data collected by GRANDProto13, the first phase of GRANDProto300. ; Comment: Note: To access the list of contributions, please follow the "HTML" link that can be found on the arXiv page
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The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 38th International Cosmic Ray Conference (ICRC 2023)
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| Autor/in / Beteiligte Person: | Collaboration, GRAND ; Batista, Rafael Alves ; Benoit-Lévy, Aurélien ; Bister, Teresa ; Bustamante, Mauricio ; Chen, Yiren ; Cheng, Ling ; Mei ; Chiche, Simon ; Colley, Jean-Marc ; Correa, Pablo ; Laurenciu, Nicoleta Cucu ; Dai, Zigao ; de Errico, Beatriz ; de Jong, Sijbrand ; Neto, João R. T. de Mello ; de Vries, Krijn D. ; Denton, Peter B. ; Deocoene, Valentin ; Duan, Kaikai ; Duan, Bohao ; Engel, Ralph ; Fan, Yizhong ; Ferrière, Arsène ; Gou, Quan ; Bu ; Gu, Junhua ; Guelfand, Marion ; Guo, Jianhua ; Guo, Yiqing ; Gupta, Vaidhai ; Guépin, Claire ; Gülzow, Lukas ; Haungs, Andreas ; He, Haoning ; Hivon, Eric ; Hu, Hongbo ; Huang, Xiaoyuan ; Huang, Yan ; Huege, Tim ; Jiang, Wen ; Koirala, Ramesh ; Kotera, Kumiko ; Köhler, Jelena ; Lago, Bruno L. ; Coz, Sandra Le ; Legrand, François ; Leisos, Antonios ; Li, Rui ; Liu, Cheng ; Liu, Ruoyu ; Liu, Wei ; Ma, Pengxiong ; Macias, Oscar ; Magnard, Frédéric ; Martineau-Huynh, Olivier ; Mikhno, Ananstasiia ; Mitra, Pragati ; Mostafá, Miguel ; Mottez, Fabrice ; Mouette, Jean ; Murase, Kohta ; Niess, Valentin ; Nonis, Stavros ; Ogio, Shoichi ; Oikonomou, Foteini ; Pierog, Tanguy ; Piotrowski, Lech Wiktor ; Poisvert, Pierre ; Prunet, Simon ; Qian, Xiangli ; Roth, Markus ; Sako, Takashi ; Schoorlemmer, Harm ; Steeman, Bart ; Szálas-Motesiczky, Dániel ; Sławiński, Szymon ; Timmermans, Anne ; Timmermans, Charles ; Tsirigotis, Apostolos ; Tueros, Matías ; Wang, Shen ; Wang, Xiangyu ; Wang, Xu ; Wei, Daming ; Wei, Feng ; Wu, Xiangping ; Wu, Xuefeng ; Xu, Xin ; Xu, Xing ; Yang, Lili ; Yang, Xuan ; Yuan, Qiang ; Zarka, Philippe ; Zeng, Houdun ; Zhang, Chao ; Zhang, Jianli ; Zhang, Kewen ; Zhang, Pengfei ; Zhang, Songbo ; Zhou, Hao |
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| Veröffentlichung: | 2023 |
| Medientyp: | academicJournal |
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