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3 results for au:Laurenciu_N in:hep-ex
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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, et al (105) This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024, University of Chicago, June 11-14, 2024). The contributions include an overview of GRAND in its present and future incarnations, methods of radio-detection that are being developed for them, and ongoing joint work between the GRAND and BEACON experiments.
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, et al (95) 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.
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, et al (79) 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.