RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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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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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1799134781658628096 |