Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/28095
Author(s): Pardal, M.
Sainte-Marie, A.
Reboul-Salze, A.
Fonseca, R. A.
Vieira, J.
Date: 2023
Title: RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
Journal title: Computer Physics Communications
Volume: 285
Reference: 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
Keywords: Radiation
Plasma
Particle-in-cell
Spatiotemporal
Coherence
Abstract: 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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-RI - Artigos em revistas científicas internacionais com arbitragem científica

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