2005
DOI: 10.1063/1.1882292
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Simulating electron clouds in heavy-ion accelerators

Abstract: Contaminating clouds of electrons are a concern for most accelerators of postive-charged particles, but there are some unique aspects of heavy-ion accelerators for fusion and high-energy density physics which make modeling such clouds especially challenging. In particular, self-consistent electron and ion simulation is required, including a particle advance scheme which can follow electrons in regions where electrons are strongly-, wealdy-, and un-magnetized. We describe o w approach to such self-consistency, … Show more

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Cited by 32 publications
(31 citation statements)
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“…This test was reported in Ref. [1], though we have since discovered that the code at the time had an inconsistent boundary condition. Correcting that produces quantitative but not qualitative changes.…”
Section: Test Problemsmentioning
confidence: 78%
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“…This test was reported in Ref. [1], though we have since discovered that the code at the time had an inconsistent boundary condition. Correcting that produces quantitative but not qualitative changes.…”
Section: Test Problemsmentioning
confidence: 78%
“…The blended mover concept [1] builds upon the observation by Parker and Birdsall [2] that the conventional Boris mover for particles in a magnetic field, when directly applied with timesteps ∆t large compared to the inverse cyclotron frequency ω −1 c , recovers physically correct electric and magnetic drifts, at least for test problems where these drifts are uniform, but with two drawbacks: (1) the particles oscillate about their gyrocenter with an effective "gyroradius" that is larger than the physical gyroradius by a factor of [1 + (ω c ∆t/2) 2 ] 1/2 , and (2) the particles oscillate by nearly π in gyrophase each timestep, with a slow procession period that is O(ω c ∆t 2 ). For simulation of phenomena with frequencies well below the cyclotron frequency, the first difficulty can be overcome by using an interpolated velocity to advance particle positions.…”
Section: Blended Movermentioning
confidence: 99%
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