Scientific journal paper Q1
RaDiO: An efficient spatiotemporal radiation diagnostic for particle-in-cell codes
Miguel Pardal (Pardal, M.); Sainte-Marie A (Sainte-Marie, A.); A. Reboul-Salze (Reboul-Salze, A.); Ricardo Fonseca (Fonseca, R. A.); Jorge Vieira (Vieira, J.);
Journal Title
Computer Physics Communications
Year (definitive publication)
2023
Language
English
Country
Netherlands
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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.
Acknowledgements
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Keywords
Radiation,Plasma,Particle-in-cell,Spatiotemporal,Coherence
  • Mathematics - Natural Sciences
  • Computer and Information Sciences - Natural Sciences
  • Physical Sciences - Natural Sciences
Funding Records
Funding Reference Funding Entity
738071 EU Accelerator Research for Innovation for European Science and Society
PD/BD/150411/2019 Fundação para a Ciência e a Tecnologia
IF/01635/2015/CP1322/CT0001 Fundação para a Ciência e a Tecnologia
871124 Comissão Europeia