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Ultra-high-energy cosmic rays (UHECRs) can be detected via the broadband radio pulses produced by their extensive air showers. The Giant Radio Array for Neutrino Detection (GRAND) is a planned radio observatory that aims to deploy…

High Energy Physics - Experiment · Physics 2026-02-04 Zhisen Lai , Oscar Macias , Aurélien Benoit-Lévy , Arsène Ferrière , Matías Tueros

The Giant Radio Array for Neutrino Detection (GRAND) is a distributed, sparse ground antenna array designed to detect the radio emission from highly inclined extensive air showers induced by ultra-high-energy particles in the atmosphere. We…

Instrumentation and Methods for Astrophysics · Physics 2024-09-02 Lukas Gülzow , Tim Huege , Kumiko Kotera , Olivier Martineau , Markus Roth , Felix Schlüter

High-energy neutrino astronomy will probe the working of the most violent phenomena in the Universe. The Giant Radio Array for Neutrino Detection (GRAND) project consists of an array of $\sim10^5$ radio antennas deployed over…

The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the long-sought origin of UHE cosmic rays by detecting large…

Instrumentation and Methods for Astrophysics · Physics 2026-02-25 GRAND Collaboration , Jaime Álvarez-Muniz , 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 , 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 , Juan Pablo Góngora , QuanBu Gou , Junhua Gu , Marion Guelfand , Gang Guo , Jianhua Guo , Yiqing Guo , Claire Guépin , Lukas Gülzow , Andreas Haungs , Matej Havelka , Haoning He , Eric Hivon , Hongbo Hu , Guoyuan Huang , Xiaoyuan Huang , Yan Huang , Tim Huege , Wen Jiang , Sei Kato , Ramesh Koirala , Kumiko Kotera , Jelena Köhler , Bruno L. Lago , Zhisen Lai , Jolan Lavoisier , François Legrand , Antonios Leisos , Rui Li , Xingyu Li , Cheng Liu , Ruoyu Liu , Wei Liu , Pengxiong Ma , Oscar Macias , Frédéric Magnard , Alexandre Marcowith , Olivier Martineau-Huynh , Zach Mason , Thomas McKinley , Paul Minodier , Miguel Mostafá , Kohta Murase , Valentin Niess , Stavros Nonis , Shoichi Ogio , Foteini Oikonomou , Hongwei Pan , Konstantinos Papageorgiou , Tanguy Pierog , Lech Wiktor Piotrowski , Simon Prunet , Clément Prévotat , Xiangli Qian , Markus Roth , Takashi Sako , Sarvesh Shinde , Dániel Szálas-Motesiczky , Szymon Sławiński , Kaoru Takahashi , Xishui Tian , Charles Timmermans , Petr Tobiska , Apostolos Tsirigotis , Matías Tueros , George Vittakis , Vincent Voisin , Hanrui Wang , Jiale Wang , Shen Wang , Xiangyu Wang , Xu Wang , Daming Wei , Feng Wei , Emily Weissling , Juan Wu , 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

The Giant Radio Array for Neutrino Detection (GRAND) is a planned array of ~200 000 radio antennas deployed over ~200 000 km2 in a mountainous site. It aims primarly at detecting high-energy neutrinos via the observation of extensive air…

The Giant Radio Array for Neutrino Detection (GRAND) aims at detecting ultra-high energy extraterrestrial neutrinos via the extensive air showers induced by the decay of tau leptons created in the interaction of neutrinos under the Earth's…

GRAND is a newly proposed series of radio arrays with a combined area of 200,000 square km, to be deployed in mountainous areas. Its primary goal is to measure cosmic ultra-high-energy tau-neutrinos (E>1 EeV), through the interaction of…

Instrumentation and Methods for Astrophysics · Physics 2020-12-11 Sijbrand de Jong

The Giant Radio Array for Neutrino Detection (GRAND) aims to detect and study ultra-high-energy (UHE) neutrinos by observing the radio emissions produced in extensive air showers. The GRANDProto300 prototype primarily focuses on UHE cosmic…

Instrumentation and Methods for Astrophysics · Physics 2025-07-15 Arsène Ferrière , Aurélien Benoit-Lévy

Radio-detection is now an established technique for studying ultra-high-energy (UHE) cosmic rays with energies exceeding $\sim 10^{17}$ eV. The next generation of radio experiments, such as the Giant Radio Array for Neutrino Detection…

Instrumentation and Methods for Astrophysics · Physics 2025-07-08 Marion Guelfand , Pauline Fritsch , Valentin Decoene , Olivier Martineau-Huynh , Mauricio Bustamante

The GRAND project aims to detect ultra-high-energy neutrinos, cosmic rays and gamma rays, with an array of $200,000$ radio antennas over $200,000\,{\rm km}^2$, split into $\sim 20$ sub-arrays of $\sim 10,000\,{\rm km}^2$ deployed worldwide.…

High Energy Astrophysical Phenomena · Physics 2021-08-03 Kumiko Kotera

Radio pulses generated by cosmic-ray air showers can be used to reconstruct key properties like the energy and depth of the electromagnetic component of cosmic-ray air showers. Radio detection threshold, influenced by natural and…

High Energy Physics - Experiment · Physics 2026-01-28 R. Abbasi , M. Ackermann , J. Adams , S. K. Agarwalla , J. A. Aguilar , M. Ahlers , J. M. Alameddine , S. Ali , N. M. Amin , K. Andeen , C. Argüelles , Y. Ashida , S. Athanasiadou , S. N. Axani , R. Babu , X. Bai , J. Baines-Holmes , A. Balagopal V. , S. W. Barwick , S. Bash , V. Basu , R. Bay , J. J. Beatty , J. Becker Tjus , P. Behrens , J. Beise , C. Bellenghi , B. Benkel , S. BenZvi , D. Berley , E. Bernardini , D. Z. Besson , E. Blaufuss , L. Bloom , S. Blot , I. Bodo , F. Bontempo , J. Y. Book Motzkin , C. Boscolo Meneguolo , S. Böser , O. Botner , J. Böttcher , J. Braun , B. Brinson , Z. Brisson-Tsavoussis , R. T. Burley , D. Butterfield , M. A. Campana , K. Carloni , J. Carpio , S. Chattopadhyay , N. Chau , Z. Chen , D. Chirkin , S. Choi , B. A. Clark , A. Coleman , P. Coleman , G. H. Collin , D. A. Coloma Borja , A. Connolly , J. M. Conrad , R. Corley , D. F. Cowen , C. De Clercq , J. J. DeLaunay , D. Delgado , T. Delmeulle , S. Deng , P. Desiati , K. D. de Vries , G. de Wasseige , T. DeYoung , J. C. Díaz-Vélez , S. DiKerby , M. Dittmer , A. Domi , L. Draper , L. Dueser , D. Durnford , K. Dutta , M. A. DuVernois , T. Ehrhardt , L. Eidenschink , A. Eimer , P. Eller , E. Ellinger , D. Elsässer , R. Engel , H. Erpenbeck , W. Esmail , S. Eulig , J. Evans , P. A. Evenson , K. L. Fan , K. Fang , K. Farrag , A. R. Fazely , A. Fedynitch , N. Feigl , C. Finley , L. Fischer , D. Fox , A. Franckowiak , S. Fukami , P. Fürst , J. Gallagher , P. Gálvez Molina , E. Ganster , A. Garcia , M. Garcia , G. Garg , E. Genton , L. Gerhardt , A. Ghadimi , C. Glaser , T. Glüsenkamp , J. G. Gonzalez , S. Goswami , A. Granados , D. Grant , S. J. Gray , S. Griffin , S. Griswold , K. M. Groth , D. Guevel , C. Günther , P. Gutjahr , C. Ha , C. Haack , A. Hallgren , L. Halve , F. Halzen , L. Hamacher , M. Ha Minh , M. Handt , K. Hanson , J. Hardin , A. A. Harnisch , P. Hatch , A. Haungs , J. Häußler , K. Helbing , J. Hellrung , B. Henke , L. Hennig , F. Henningsen , L. Heuermann , R. Hewett , N. Heyer , S. Hickford , A. Hidvegi , C. Hill , G. C. Hill , R. Hmaid , K. D. Hoffman , D. Hooper , S. Hori , K. Hoshina , M. Hostert , W. Hou , M. Hrywniak , T. Huber , K. Hultqvist , K. Hymon , A. Ishihara , W. Iwakiri , M. Jacquart , S. Jain , O. Janik , M. Jansson , M. Jeong , M. Jin , N. Kamp , D. Kang , W. Kang , X. Kang , A. Kappes , L. Kardum , T. Karg , M. Karl , A. Karle , A. Katil , M. Kauer , J. L. Kelley , M. Khanal , A. Khatee Zathul , A. Kheirandish , H. Kimku , J. Kiryluk , C. Klein , S. R. Klein , Y. Kobayashi , A. Kochocki , R. Koirala , H. Kolanoski , T. Kontrimas , L. Köpke , C. Kopper , D. J. Koskinen , P. Koundal , M. Kowalski , T. Kozynets , N. Krieger , J. Krishnamoorthi , T. Krishnan , K. Kruiswijk , E. Krupczak , D. Kullgren , A. Kumar , E. Kun , N. Kurahashi , N. Lad , C. Lagunas Gualda , L. Lallement Arnaud , M. Lamoureux , M. J. Larson , F. Lauber , J. P. Lazar , K. Leonard DeHolton , A. Leszczyńska , J. Liao , C. Lin , Y. T. Liu , M. Liubarska , C. Love , L. Lu , F. Lucarelli , W. Luszczak , Y. Lyu , J. Madsen , E. Magnus , Y. Makino , E. Manao , S. Mancina , A. Mand , I. C. Mariş , S. Marka , Z. Marka , L. Marten , I. Martinez-Soler , R. Maruyama , J. Mauro , F. Mayhew , F. McNally , J. V. Mead , K. Meagher , S. Mechbal , A. Medina , M. Meier , Y. Merckx , L. Merten , J. Mitchell , L. Molchany , T. Montaruli , R. W. Moore , Y. Morii , A. Mosbrugger , M. Moulai , D. Mousadi , E. Moyaux , T. Mukherjee , R. Naab , M. Nakos , U. Naumann , J. Necker , L. Neste , M. Neumann , H. Niederhausen , M. U. Nisa , K. Noda , A. Noell , A. Novikov , A. Obertacke , V. O'Dell , A. Olivas , R. Orsoe , J. Osborn , E. O'Sullivan , V. Palusova , H. Pandya , A. Parenti , N. Park , V. Parrish , E. N. Paudel , L. Paul , C. Pérez de los Heros , T. Pernice , J. Peterson , M. Plum , A. Pontén , V. Poojyam , Y. Popovych , M. Prado Rodriguez , B. Pries , R. 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Sullivan , I. Taboada , S. Ter-Antonyan , A. Terliuk , A. Thakuri , M. Thiesmeyer , W. G. Thompson , J. Thwaites , S. Tilav , K. Tollefson , S. Toscano , D. Tosi , A. Trettin , A. K. Upadhyay , K. Upshaw , A. Vaidyanathan , N. Valtonen-Mattila , J. Valverde , J. Vandenbroucke , T. Van Eeden , N. van Eijndhoven , L. Van Rootselaar , J. van Santen , J. Vara , F. Varsi , M. Venugopal , M. Vereecken , S. Vergara Carrasco , S. Verpoest , D. Veske , A. Vijai , J. Villarreal , C. Walck , A. Wang , E. H. S. Warrick , C. Weaver , P. Weigel , A. Weindl , J. Weldert , A. Y. Wen , C. Wendt , J. Werthebach , M. Weyrauch , N. Whitehorn , C. H. Wiebusch , D. R. Williams , L. Witthaus , M. Wolf , G. Wrede , X. W. Xu , J. P. Yanez , Y. Yao , E. Yildizci , S. Yoshida , R. Young , F. Yu , S. Yu , T. Yuan , A. Zegarelli , S. Zhang , Z. Zhang , P. Zhelnin , P. Zilberman

The Giant Radio Array for Neutrino Detection (GRAND) aims to detect highly inclined extensive air showers (EAS) with down-going and up-going trajectories. Several working groups in the GRAND collaboration are developing methods to…

Ultra-high-energy cosmic neutrinos (UHE), with energies above 100 PeV, are unparalleled probes of the most energetic astrophysical sources and weak interactions at energies beyond the reach of accelerators. GRAND is an envisioned…

High Energy Astrophysical Phenomena · Physics 2023-07-26 João R. T. de Mello Neto

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…

Instrumentation and Methods for Astrophysics · Physics 2024-12-12 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 , 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

Large-scale cosmic-ray detectors like the Giant Radio Array for Neutrino Detection (GRAND) are pushing the boundaries of our ability to identify air shower events. Existing trigger schemes rely solely on the timing of signals detected by…

Instrumentation and Methods for Astrophysics · Physics 2024-09-02 Jelena Köhler , Aurélien Benoit-Lévy , Pablo Correa , Arsène Ferriere , Tim Huege , Kumiko Kotera , Olivier Martineau-Huynh , Simon Prunet , Markus Roth

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…

High Energy Physics - Experiment · Physics 2024-09-06 GRAND Collaboration , Rafael Alves Batista , Aurélien Benoit-Lévy , Teresa Bister , Mauricio Bustamante , Yiren Chen , LingMei Cheng , Simon Chiche , Jean-Marc Colley , Pablo Correa , Nicoleta Cucu Laurenciu , Zigao Dai , Beatriz de Errico , Sijbrand de Jong , João R. T. de Mello Neto , Krijn D. de Vries , Peter B. Denton , Valentin Decoene , Kaikai Duan , Bohao Duan , Ralph Engel , Yizhong Fan , Arsène Ferrière , QuanBu Gou , Junhua Gu , Marion Guelfand , Jianhua Guo , Yiqing Guo , Vaidhai Gupta , Claire Guépin , Lukas Gülzow , Andreas Haungs , Haoning He , Eric Hivon , Hongbo Hu , Xiaoyuan Huang , Yan Huang , Tim Huege , Wen Jiang , Ramesh Koirala , Kumiko Kotera , Jelena Köhler , Bruno L. Lago , Sandra Le Coz , François Legrand , Antonios Leisos , Rui Li , Cheng Liu , Ruoyu Liu , Wei Liu , Pengxiong Ma , Oscar Macias , Frédéric Magnard , Olivier Martineau-Huynh , Ananstasiia Mikhno , Pragati Mitra , Miguel Mostafá , Fabrice Mottez , Jean Mouette , Kohta Murase , Valentin Niess , Stavros Nonis , Shoichi Ogio , Foteini Oikonomou , Tanguy Pierog , Lech Wiktor Piotrowski , Pierre Poisvert , Simon Prunet , Xiangli Qian , Markus Roth , Takashi Sako , Harm Schoorlemmer , Bart Steeman , Dániel Szálas-Motesiczky , Szymon Sławiński , Anne Timmermans , Charles Timmermans , Apostolos Tsirigotis , Matías Tueros , Shen Wang , Xiangyu Wang , Xu Wang , Daming Wei , Feng Wei , Xiangping Wu , Xuefeng Wu , Xin Xu , Xing Xu , Lili Yang , Xuan Yang , Qiang Yuan , Philippe Zarka , Houdun Zeng , Chao Zhang , Jianli Zhang , Kewen Zhang , Pengfei Zhang , Songbo Zhang , Hao Zhou

Over the last decades, radio detection of air showers has been established as a promising detection technique for ultrahigh-energy cosmic rays and neutrinos. Very large or dense antenna arrays are necessary to be proficient at collecting…

Instrumentation and Methods for Astrophysics · Physics 2018-11-28 Anne Zilles , Olivier Martineau-Huynh , Kumiko Kotera , Matias Tueros , Krijn de Vries , Washington Carvalho , Valentin Niess

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 antennas to look for the radio…

Instrumentation and Methods for Astrophysics · Physics 2025-07-15 Jaime Álvarez-Muñiz , 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 , 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 , Gang Guo , Jianhua Guo , Yiqing Guo , Claire Guépin , Lukas Gülzow , Andreas Haungs , Matej Havelka , Haoning He , Eric Hivon , Hongbo Hu , Guoyuan Huang , Xiaoyuan Huang , Yan Huang , Tim Huege , Wen Jiang , Sei Kato , Ramesh Koirala , Kumiko Kotera , Jelena Köhler , Bruno L. Lago , Zhisen Lai , Jolan Lavoisier , François Legrand , Antonios Leisos , Rui Li , Xingyu Li , Cheng Liu , Ruoyu Liu , Wei Liu , Pengxiong Ma , Oscar Macías , Frédéric Magnard , Alexandre Marcowith , Olivier Martineau-Huynh , Zack Mason , Thomas McKinley , Paul Minodier , Miguel Mostafá , Kohta Murase , Valentin Niess , Stavros Nonis , Shoichi Ogio , Foteini Oikonomou , Hongwei Pan , Konstantinos Papageorgiou , Tanguy Pierog , Lech W. Piotrowski , Simon Prunet , Clément Prévotat , Xiangli Qian , Markus Roth , Takashi Sako , Sarvesh Shinde , Dániel Szálas-Motesiczky , Szymon Sławiński , Kaoru Takahashi , Xishui Tian , Charles Timmermans , Petr Tobiska , Apostolos Tsirigotis , Matías Tueros , George Vittakis , Vincent Voisin , Hanrui Wang , Jiale Wang , Shen Wang , Xiangyu Wang , Xu Wang , Daming Wei , Feng Wei , Emily Weissling , Juan Wu , Xiangping Wu , Xuefeng Wu , Xin Xu , Xing Xu , Fufu Yang , Lili Yang , Xuan Yang , Qiang Yuan , Philippe Zarka , Hodung Zeng , Chao Zhang , Jianli Zhang , Kewen Zhang , Pengfei Zhang , Qingchi Zhang , Songbo Zhang , Yi Zhang , Hao Zhou , Jaime Álvarez-Muñiz , Sergio Cabana-Freire , Washington Carvalho , Alan Cummings , Cosmin Deaconu , Jackson Hinkel , Kaeli Hughes , Ryan Krebs , Youwei Liu , Zachary Martin , Katharine Mulrey , Alisa Nozdrina , Eric Oberla , Steven Prohira , Andrés Romero-Wolf , Abigail G. Vieregg , Stephanie A. Wissel , Enrique Zas , Andrew Zeolla

Micro-Doppler analysis has become increasingly popular in recent years owning to the ability of the technique to enhance classification strategies. Applications include recognising everyday human activities, distinguishing drone from birds,…

Signal Processing · Electrical Eng. & Systems 2021-02-16 Chong Tang , Wenda Li , Shelly Vishwakarma , Karl Woodbridge , Simon Julier , Kevin Chetty
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