RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes

Detalhes bibliográficos
Autor(a) principal: Pardal, M.
Data de Publicação: 2023
Outros Autores: Sainte-Marie, A., Reboul-Salze, A., Fonseca, R. A., Vieira, J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/28095
Resumo: This work describes a novel radiation algorithm designed to capture the three-dimensional, space-time resolved electromagnetic field structure emitted by large ensembles of charged particles. The algorithm retains the full set of degrees of freedom that characterize electromagnetic waves by employing the Liénard-Wiechert fields to retrieve radiation emission. Emitted electric and magnetic fields are deposited in a virtual detector using a temporal interpolation scheme. This feature is essential to accurately predict field amplitudes and preserve the continuous character of radiation emission, even though particle dynamics is known only in a discrete set of temporal steps. Our algorithm retains and accurately captures, by design, full spatial and temporal coherence effects. We demonstrate that our numerical approach recovers well known theoretical radiated spectra in standard scenarios of radiation emission. We show that the algorithm is computationally efficient by computing the full spatiotemporal radiation features of High Harmonic Generation through a plasma mirror in a Particle-In-Cell (PIC) simulation.
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spelling RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codesRadiationPlasmaParticle-in-cellSpatiotemporalCoherenceThis work describes a novel radiation algorithm designed to capture the three-dimensional, space-time resolved electromagnetic field structure emitted by large ensembles of charged particles. The algorithm retains the full set of degrees of freedom that characterize electromagnetic waves by employing the Liénard-Wiechert fields to retrieve radiation emission. Emitted electric and magnetic fields are deposited in a virtual detector using a temporal interpolation scheme. This feature is essential to accurately predict field amplitudes and preserve the continuous character of radiation emission, even though particle dynamics is known only in a discrete set of temporal steps. Our algorithm retains and accurately captures, by design, full spatial and temporal coherence effects. We demonstrate that our numerical approach recovers well known theoretical radiated spectra in standard scenarios of radiation emission. We show that the algorithm is computationally efficient by computing the full spatiotemporal radiation features of High Harmonic Generation through a plasma mirror in a Particle-In-Cell (PIC) simulation.Elsevier2023-03-01T11:12:39Z2023-01-01T00:00:00Z20232023-03-01T10:54:45Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/28095eng0010-465510.1016/j.cpc.2022.108634Pardal, M.Sainte-Marie, A.Reboul-Salze, A.Fonseca, R. A.Vieira, J.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:45:59Zoai:repositorio.iscte-iul.pt:10071/28095Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:03.481717Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
title RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
spellingShingle RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
Pardal, M.
Radiation
Plasma
Particle-in-cell
Spatiotemporal
Coherence
title_short RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
title_full RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
title_fullStr RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
title_full_unstemmed RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
title_sort RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
author Pardal, M.
author_facet Pardal, M.
Sainte-Marie, A.
Reboul-Salze, A.
Fonseca, R. A.
Vieira, J.
author_role author
author2 Sainte-Marie, A.
Reboul-Salze, A.
Fonseca, R. A.
Vieira, J.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pardal, M.
Sainte-Marie, A.
Reboul-Salze, A.
Fonseca, R. A.
Vieira, J.
dc.subject.por.fl_str_mv Radiation
Plasma
Particle-in-cell
Spatiotemporal
Coherence
topic Radiation
Plasma
Particle-in-cell
Spatiotemporal
Coherence
description This work describes a novel radiation algorithm designed to capture the three-dimensional, space-time resolved electromagnetic field structure emitted by large ensembles of charged particles. The algorithm retains the full set of degrees of freedom that characterize electromagnetic waves by employing the Liénard-Wiechert fields to retrieve radiation emission. Emitted electric and magnetic fields are deposited in a virtual detector using a temporal interpolation scheme. This feature is essential to accurately predict field amplitudes and preserve the continuous character of radiation emission, even though particle dynamics is known only in a discrete set of temporal steps. Our algorithm retains and accurately captures, by design, full spatial and temporal coherence effects. We demonstrate that our numerical approach recovers well known theoretical radiated spectra in standard scenarios of radiation emission. We show that the algorithm is computationally efficient by computing the full spatiotemporal radiation features of High Harmonic Generation through a plasma mirror in a Particle-In-Cell (PIC) simulation.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-01T11:12:39Z
2023-01-01T00:00:00Z
2023
2023-03-01T10:54:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/28095
url http://hdl.handle.net/10071/28095
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0010-4655
10.1016/j.cpc.2022.108634
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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