2017
DOI: 10.1063/1.4997540
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Mitigation of the cancellation problem in the gyrokinetic particle-in-cell simulations of global electromagnetic modes

Abstract: Electromagnetic gyrokinetic particle-in-cell simulations have been inhibited for long time by numerical problems. This paper discusses the origin of these problems. It also gives an overview and summary of the mitigation techniques. a alexey.mishchenko@ipp.mpg.de

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Cited by 22 publications
(24 citation statements)
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“…0 < n < 40), which opens the way to the investigation of the interaction of AMs and turbulence, is not discussed here, and is left as the focus of a dedicated paper. The resolution of the Vlasov-Maxwell set of equations in a p formulation (also known as Hamiltonian formulation) with a δf (perturbed distribution function) particle-in-cell code is found to be affected by the cancellation problem, which can be mitigated with a control variate method, or with a pull-back scheme (Mishchenko, Hatzky & Könies 2004;Hatzky, Könies & Mishchenko 2007;Mishchenko et al 2017). The recent inclusion of the pull-back scheme greatly improved the efficiency of ORB5 (Mishchenko et al 2019), making these simulations feasible.…”
Section: Introductionmentioning
confidence: 99%
“…0 < n < 40), which opens the way to the investigation of the interaction of AMs and turbulence, is not discussed here, and is left as the focus of a dedicated paper. The resolution of the Vlasov-Maxwell set of equations in a p formulation (also known as Hamiltonian formulation) with a δf (perturbed distribution function) particle-in-cell code is found to be affected by the cancellation problem, which can be mitigated with a control variate method, or with a pull-back scheme (Mishchenko, Hatzky & Könies 2004;Hatzky, Könies & Mishchenko 2007;Mishchenko et al 2017). The recent inclusion of the pull-back scheme greatly improved the efficiency of ORB5 (Mishchenko et al 2019), making these simulations feasible.…”
Section: Introductionmentioning
confidence: 99%
“…2016) and the reduction of the statistical error (Mishchenko et al. 2017). In the following, we will focus on the latter in the context of simulation of damped magnetohydrodynamics (MHD) modes.…”
Section: Introductionmentioning
confidence: 99%
“…In principle, it is possible to use the δf -method for electromagnetic gyrokinetic PIC simulation (Mishchenko, Hatzky & Könies 2004a), but the time-step size can be quite restrictive and the required number of markers can be so large that PIC simulations become unfeasible. Hence, in the past three decades, many attempts have been made to improve electromagnetic PIC algorithms in two respects: the increase of the timestep size (Kleiber et al 2016) and the reduction of the statistical error (Mishchenko et al 2017). In the following, we will focus on the latter in the context of simulation of damped magnetohydrodynamics (MHD) modes.…”
mentioning
confidence: 99%
“…In order to control the noise inherent to PIC simulations, ORB5 includes a Krook operator, a coarse graining technique, and quadtree smoothing. The electromagnetic cancellation problem in Ampère's law can be cured using an enhanced control variate scheme [23] or the pullback scheme [24]. The gyro-averaging operations make use of numerical markers along the Larmor rings of each guiding center, as shown in Figure 1.…”
Section: Algorithms and Mpi Implementationmentioning
confidence: 99%