Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/28095
Autoria: Pardal, M.
Sainte-Marie, A.
Reboul-Salze, A.
Fonseca, R. A.
Vieira, J.
Data: 2023
Título próprio: RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
Título da revista: Computer Physics Communications
Volume: 285
Referência bibliográfica: Pardal, 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
ISSN: 0010-4655
DOI (Digital Object Identifier): 10.1016/j.cpc.2022.108634
Palavras-chave: Radiation
Plasma
Particle-in-cell
Spatiotemporal
Coherence
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.
Arbitragem científica: yes
Acesso: Acesso Aberto
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