2014
DOI: 10.1016/j.crme.2014.07.006
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Modeling of relativistic plasmas with the Particle-In-Cell method

Abstract: Standard methods employed in relativistic electromagnetic Particle-In-Cell codes are reviewed, as well as novel techniques that were introduced recently. Advances in the analysis and mitigation of the numerical Cherenkov instability are also presented with comparison between analytical theory and numerical experiments. The algorithmic and numerical analytic advances are expanding the range of applicability of the method in the ultrarelativistic regime in particular, where the numerical Cherenkov instability is… Show more

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Cited by 15 publications
(7 citation statements)
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“…Flaws already encountered in non relativistic plasma simulations are enhanced in relativistic regimes. Vay & Godfrey (2014) recently reviewed about these relativistic PIC methods.…”
Section: Introductionmentioning
confidence: 99%
“…Flaws already encountered in non relativistic plasma simulations are enhanced in relativistic regimes. Vay & Godfrey (2014) recently reviewed about these relativistic PIC methods.…”
Section: Introductionmentioning
confidence: 99%
“…Here we applied it to the dielectric function of Bi For the excitation by an electron probe in FDTD simulations, a charge broadening scheme was applied as described elsewhere 54,55 . In our simulations, we have combined Maxwell's equation with the Lorentz equation using the relativistic Vay scheme 56 . Therefore, the propagation of the electron is governed by its relativistic initial velocity and direction, as well as electromagnetic forces inserted on it.…”
Section: Methodsmentioning
confidence: 99%
“…Boxcar filters are usually cascaded with other boxcars in an attempt to reduce the high side-lobes in their frequency response (Roscoe and Blair, 2016). Techniques like low pass filtering are not limited to the time domain; they can be applied to other dimensions like ordinary space and find 105 wide application in fields like image processing (Cook, 1986) and numerical modeling (Vay and Godfrey, 2014).…”
Section: Low Pass Filteringmentioning
confidence: 99%