2020
DOI: 10.1016/j.jcp.2020.109451
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On numerical errors to the fields surrounding a relativistically moving particle in PIC codes

Abstract: The particle-in-cell (PIC) method is widely used to model the self-consistent interaction between discrete particles and electromagnetic fields. It has been successfully applied to problems across plasma physics including plasma based acceleration, inertial confinement fusion, magnetically confined fusion, space physics, astrophysics, high energy density plasmas. In many cases the physics involves how relativistic particles (those with high relativistic γ factors) are generated and interact with plasmas. Howev… Show more

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Cited by 22 publications
(11 citation statements)
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“…5(c) are larger than their counterparts that have the time-stagger correction. As is well known, p 2 satisfies the canonical momentum conservation, p 2 − a L = const., (27) where a L is the normalized vector potential of the laser pulse. Since the test particle is initially stationary in the2-direction and placed where a L = 0, the subsequent evolution of p 2 is subject to p 2 = a L .…”
Section: Single Particle In a Laser Fieldmentioning
confidence: 99%
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“…5(c) are larger than their counterparts that have the time-stagger correction. As is well known, p 2 satisfies the canonical momentum conservation, p 2 − a L = const., (27) where a L is the normalized vector potential of the laser pulse. Since the test particle is initially stationary in the2-direction and placed where a L = 0, the subsequent evolution of p 2 is subject to p 2 = a L .…”
Section: Single Particle In a Laser Fieldmentioning
confidence: 99%
“…Many numerical issues can arise due to the discretization, requiring careful use to avoid subtle spurious effects. Examples of known issues include improper numerical dispersion, numerical Cerenkov radiation and the associated numerical Cerenkov instability (NCI) [19][20][21][22], finite-grid instability [23][24][25][26] and numerical errors in the fields that surround relativistic particles [27]. These errors do not always decrease proportionately with decreasing cell size and time step, making it important to deeply understand the cause of these effects in order to most efficiently remedy them.…”
Section: Introductionmentioning
confidence: 99%
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“…To illustrate how this injection scheme can be used to generate spiraling and other complex 3D structured electron beams, we consider a fully blown out wake generated by an electron beam driver. We simulate the ionization injection by an appropriately delayed but co-moving ultrashort laser using non-evolving forces characteristic of nonlinear wakefields using the 3D PIC code OSIRIS [59,60]. The forces for electrons with forward velocity…”
mentioning
confidence: 99%
“…There are 16 macro-particles initialized in each cell to model a uniform plasma with T e ∼ 2 eV. We use customized finite-difference solvers [36,37] to eliminate the numerical Cerenkov instability [38] and spurious space-charge-like fields [39]. A bi-Gaussian drive beam consisting of 10 6 macroparticles was initialized at the plane f R = 10 4 k −1 p before the lens with γ R = 1000, h = −0.01, k p σ z = 2 and Λ = 4, where k p ≡ ω p /c and ω p are the plasma wavelength and frequency.…”
mentioning
confidence: 99%