Radio Morphing: towards a fast computation of the radio signal from air showers

Autores
Zilles, Anne; Martineau Huynh, Olivier; Kotera, Kumiko; Tueros, Matias Jorge; de Vries, Krijn; Carvalho, Washington; Niess, Valentin; Renault Tinacci, Nicolas; Decoene, Valentin
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Over the last years, radio detection has matured to become a competitive method for the detection of air showers. Arrays of thousands of antennas are now envisioned for the detection of cosmic rays of ultra high energy or neutrinos of astrophysical origin. The data exploitation of such detectors requires to run massive air-shower simulations to evaluate the radio signal at each antenna position. In order to reduce the associated computational cost, we have developed a semi-analytical method for the computation of the emitted radio signal called Radio Morphing. The method consists in computing the radio signal of any air-shower at any location from the simulation of one single reference shower at given positions by (i) a scaling of the electric-field amplitude of this reference shower, (ii) an isometry on the simulated positions and (iii) an interpolation of the radio pulse at the desired position. This technique enables one to compute electric field time traces with characteristics very similar to those obtained with standard computation methods, but with computation times reduced by several orders of magnitude. In this paper, we present this novel tool, explain its methodology, and discuss its limitations. Furthermore, we validate the method on a typical event set for the future GRAND experiment showing that the calculated peak amplitudes are consistent with the results from ZHAireS simulations with a mean offset of +8.5% and a standard deviation of 27.2% in this specific case. This overestimation of the signal strength by Radio Morphing arises mainly from the choice of the underlying reference shower.
Fil: Zilles, Anne. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Martineau Huynh, Olivier. Universite de Paris VI; Francia. Chinese Academy of Sciences; República de China. Centre National de la Recherche Scientifique; Francia
Fil: Kotera, Kumiko. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Tueros, Matias Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
Fil: de Vries, Krijn. Vrije Unviversiteit Brussel; Bélgica
Fil: Carvalho, Washington. Universidad de Santiago de Compostela; España
Fil: Niess, Valentin. Universite Blaise Pascal; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Renault Tinacci, Nicolas. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Decoene, Valentin. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Materia
AIR-SHOWER SIMULATION
HIGH-ENERGY ASTROPARTICLES
RADIO DETECTION
RADIO-SIGNAL PARAMETRIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/181652
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/181652
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Radio Morphing: towards a fast computation of the radio signal from air showersZilles, AnneMartineau Huynh, OlivierKotera, KumikoTueros, Matias Jorgede Vries, KrijnCarvalho, WashingtonNiess, ValentinRenault Tinacci, NicolasDecoene, ValentinAIR-SHOWER SIMULATIONHIGH-ENERGY ASTROPARTICLESRADIO DETECTIONRADIO-SIGNAL PARAMETRIZATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Over the last years, radio detection has matured to become a competitive method for the detection of air showers. Arrays of thousands of antennas are now envisioned for the detection of cosmic rays of ultra high energy or neutrinos of astrophysical origin. The data exploitation of such detectors requires to run massive air-shower simulations to evaluate the radio signal at each antenna position. In order to reduce the associated computational cost, we have developed a semi-analytical method for the computation of the emitted radio signal called Radio Morphing. The method consists in computing the radio signal of any air-shower at any location from the simulation of one single reference shower at given positions by (i) a scaling of the electric-field amplitude of this reference shower, (ii) an isometry on the simulated positions and (iii) an interpolation of the radio pulse at the desired position. This technique enables one to compute electric field time traces with characteristics very similar to those obtained with standard computation methods, but with computation times reduced by several orders of magnitude. In this paper, we present this novel tool, explain its methodology, and discuss its limitations. Furthermore, we validate the method on a typical event set for the future GRAND experiment showing that the calculated peak amplitudes are consistent with the results from ZHAireS simulations with a mean offset of +8.5% and a standard deviation of 27.2% in this specific case. This overestimation of the signal strength by Radio Morphing arises mainly from the choice of the underlying reference shower.Fil: Zilles, Anne. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; FranciaFil: Martineau Huynh, Olivier. Universite de Paris VI; Francia. Chinese Academy of Sciences; República de China. Centre National de la Recherche Scientifique; FranciaFil: Kotera, Kumiko. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; FranciaFil: Tueros, Matias Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; ArgentinaFil: de Vries, Krijn. Vrije Unviversiteit Brussel; BélgicaFil: Carvalho, Washington. Universidad de Santiago de Compostela; EspañaFil: Niess, Valentin. Universite Blaise Pascal; Francia. Centre National de la Recherche Scientifique; FranciaFil: Renault Tinacci, Nicolas. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; FranciaFil: Decoene, Valentin. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; FranciaElsevier Science2020-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181652Zilles, Anne; Martineau Huynh, Olivier; Kotera, Kumiko; Tueros, Matias Jorge; de Vries, Krijn; et al.; Radio Morphing: towards a fast computation of the radio signal from air showers; Elsevier Science; Astroparticle Physics; 114; 1-2020; 10-210927-65051873-2852CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0927650518302883info:eu-repo/semantics/altIdentifier/doi/10.1016/j.astropartphys.2019.06.001info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1811.01750info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:41Zoai:ri.conicet.gov.ar:11336/181652instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:41.944CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Radio Morphing: towards a fast computation of the radio signal from air showers
title Radio Morphing: towards a fast computation of the radio signal from air showers
spellingShingle Radio Morphing: towards a fast computation of the radio signal from air showers
Zilles, Anne
AIR-SHOWER SIMULATION
HIGH-ENERGY ASTROPARTICLES
RADIO DETECTION
RADIO-SIGNAL PARAMETRIZATION
title_short Radio Morphing: towards a fast computation of the radio signal from air showers
title_full Radio Morphing: towards a fast computation of the radio signal from air showers
title_fullStr Radio Morphing: towards a fast computation of the radio signal from air showers
title_full_unstemmed Radio Morphing: towards a fast computation of the radio signal from air showers
title_sort Radio Morphing: towards a fast computation of the radio signal from air showers
dc.creator.none.fl_str_mv Zilles, Anne
Martineau Huynh, Olivier
Kotera, Kumiko
Tueros, Matias Jorge
de Vries, Krijn
Carvalho, Washington
Niess, Valentin
Renault Tinacci, Nicolas
Decoene, Valentin
author Zilles, Anne
author_facet Zilles, Anne
Martineau Huynh, Olivier
Kotera, Kumiko
Tueros, Matias Jorge
de Vries, Krijn
Carvalho, Washington
Niess, Valentin
Renault Tinacci, Nicolas
Decoene, Valentin
author_role author
author2 Martineau Huynh, Olivier
Kotera, Kumiko
Tueros, Matias Jorge
de Vries, Krijn
Carvalho, Washington
Niess, Valentin
Renault Tinacci, Nicolas
Decoene, Valentin
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AIR-SHOWER SIMULATION
HIGH-ENERGY ASTROPARTICLES
RADIO DETECTION
RADIO-SIGNAL PARAMETRIZATION
topic AIR-SHOWER SIMULATION
HIGH-ENERGY ASTROPARTICLES
RADIO DETECTION
RADIO-SIGNAL PARAMETRIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Over the last years, radio detection has matured to become a competitive method for the detection of air showers. Arrays of thousands of antennas are now envisioned for the detection of cosmic rays of ultra high energy or neutrinos of astrophysical origin. The data exploitation of such detectors requires to run massive air-shower simulations to evaluate the radio signal at each antenna position. In order to reduce the associated computational cost, we have developed a semi-analytical method for the computation of the emitted radio signal called Radio Morphing. The method consists in computing the radio signal of any air-shower at any location from the simulation of one single reference shower at given positions by (i) a scaling of the electric-field amplitude of this reference shower, (ii) an isometry on the simulated positions and (iii) an interpolation of the radio pulse at the desired position. This technique enables one to compute electric field time traces with characteristics very similar to those obtained with standard computation methods, but with computation times reduced by several orders of magnitude. In this paper, we present this novel tool, explain its methodology, and discuss its limitations. Furthermore, we validate the method on a typical event set for the future GRAND experiment showing that the calculated peak amplitudes are consistent with the results from ZHAireS simulations with a mean offset of +8.5% and a standard deviation of 27.2% in this specific case. This overestimation of the signal strength by Radio Morphing arises mainly from the choice of the underlying reference shower.
Fil: Zilles, Anne. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Martineau Huynh, Olivier. Universite de Paris VI; Francia. Chinese Academy of Sciences; República de China. Centre National de la Recherche Scientifique; Francia
Fil: Kotera, Kumiko. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Tueros, Matias Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
Fil: de Vries, Krijn. Vrije Unviversiteit Brussel; Bélgica
Fil: Carvalho, Washington. Universidad de Santiago de Compostela; España
Fil: Niess, Valentin. Universite Blaise Pascal; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Renault Tinacci, Nicolas. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Decoene, Valentin. Universite de Paris VI; Francia. Centre National de la Recherche Scientifique; Francia
description Over the last years, radio detection has matured to become a competitive method for the detection of air showers. Arrays of thousands of antennas are now envisioned for the detection of cosmic rays of ultra high energy or neutrinos of astrophysical origin. The data exploitation of such detectors requires to run massive air-shower simulations to evaluate the radio signal at each antenna position. In order to reduce the associated computational cost, we have developed a semi-analytical method for the computation of the emitted radio signal called Radio Morphing. The method consists in computing the radio signal of any air-shower at any location from the simulation of one single reference shower at given positions by (i) a scaling of the electric-field amplitude of this reference shower, (ii) an isometry on the simulated positions and (iii) an interpolation of the radio pulse at the desired position. This technique enables one to compute electric field time traces with characteristics very similar to those obtained with standard computation methods, but with computation times reduced by several orders of magnitude. In this paper, we present this novel tool, explain its methodology, and discuss its limitations. Furthermore, we validate the method on a typical event set for the future GRAND experiment showing that the calculated peak amplitudes are consistent with the results from ZHAireS simulations with a mean offset of +8.5% and a standard deviation of 27.2% in this specific case. This overestimation of the signal strength by Radio Morphing arises mainly from the choice of the underlying reference shower.
publishDate 2020
dc.date.none.fl_str_mv 2020-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/181652
Zilles, Anne; Martineau Huynh, Olivier; Kotera, Kumiko; Tueros, Matias Jorge; de Vries, Krijn; et al.; Radio Morphing: towards a fast computation of the radio signal from air showers; Elsevier Science; Astroparticle Physics; 114; 1-2020; 10-21
0927-6505
1873-2852
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181652
identifier_str_mv Zilles, Anne; Martineau Huynh, Olivier; Kotera, Kumiko; Tueros, Matias Jorge; de Vries, Krijn; et al.; Radio Morphing: towards a fast computation of the radio signal from air showers; Elsevier Science; Astroparticle Physics; 114; 1-2020; 10-21
0927-6505
1873-2852
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0927650518302883
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.astropartphys.2019.06.001
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1811.01750
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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