Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/28095
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dc.contributor.authorPardal, M.-
dc.contributor.authorSainte-Marie, A.-
dc.contributor.authorReboul-Salze, A.-
dc.contributor.authorFonseca, R. A.-
dc.contributor.authorVieira, J.-
dc.date.accessioned2023-03-01T11:12:39Z-
dc.date.available2023-03-01T11:12:39Z-
dc.date.issued2023-
dc.identifier.citationPardal, M., Sainte-Marie, A., Reboul-Salze, A., Fonseca, R. A., & Vieira, J. (2023). RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes. Computer Physics Communications, 285, 108634. https://dx.doi.org/10.1016/j.cpc.2022.108634-
dc.identifier.issn0010-4655-
dc.identifier.urihttp://hdl.handle.net/10071/28095-
dc.description.abstractThis 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.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/738071/EU-
dc.relationinfo:eu-repo/grantAgreement/FCT/OE/PD%2FBD%2F150411%2F2019/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F01635%2F2015%2FCP1322%2FCT0001/PT-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/871124/EU-
dc.rightsopenAccess-
dc.subjectRadiationeng
dc.subjectPlasmaeng
dc.subjectParticle-in-celleng
dc.subjectSpatiotemporaleng
dc.subjectCoherenceeng
dc.titleRaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codeseng
dc.typearticle-
dc.peerreviewedyes-
dc.volume285-
dc.date.updated2023-03-01T10:54:45Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.cpc.2022.108634-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Matemáticaspor
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências Físicaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-91966-
iscte.alternateIdentifiers.wosWOS:000904983500001-
iscte.alternateIdentifiers.scopus2-s2.0-85143754241-
iscte.journalComputer Physics Communications-
Appears in Collections:IT-RI - Artigos em revistas científicas internacionais com arbitragem científica

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