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

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.date.updated2023-03-01T10:54:45Z
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.description.versioninfo:eu-repo/semantics/publishedVersion
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.doi10.1016/j.cpc.2022.108634
dc.identifier.issn0010-4655
dc.identifier.urihttp://hdl.handle.net/10071/28095
dc.language.isoeng
dc.peerreviewedyes
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.rightsopen access
dc.subjectRadiationeng
dc.subjectPlasmaeng
dc.subjectParticle-in-celleng
dc.subjectSpatiotemporaleng
dc.subjectCoherenceeng
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
dc.titleRaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codeseng
dc.typearticle
dc.volume285
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85143754241
iscte.alternateIdentifiers.wosWOS:000904983500001
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-91966
iscte.journalComputer Physics Communications

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