3-D ICEPIC simulations of the relativistic klystron oscillator

Blahovec, Joseph; Bowers, L.; Luginsland, J.W.; Sasser, G.E.; Watrous, J.J.

doi:10.1109/27.887733

Cited by 38 publications

(6 citation statements)

References 13 publications

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“…17 ICEPIC is a finite-difference time domain particle-in-cell code that initializes with Poisson's equation and then advances in time using Faraday's law for the magnetic field, Ampere-Maxwell's law for the electric field, and the relativistic Lorentz's force equation for the pseudo-particles. The simulations were conducted in Cartesian co-ordinates with a background electric and magnetic field (E 0x and B 0ŷ ) to provide an E Â B drift (U drif t ¼ E Bẑ ) through the simulation space.…”

Section: Simulation Techniquementioning

confidence: 99%

Dynamics of positive probes in underdense, strongly magnetized, E×B drifting plasma: Particle-in-cell simulations

Heinrich

Cooke

2013

Physics of Plasmas

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Electron trapping, electron heating, space-charge wings, wake eddies, and current collection by a positive probe in E Â B drifting plasma were studied in three-dimensional electromagnetic particle-in-cell simulations. In these simulations, electrons and ions were magnetized with respect to the probe and the plasma was underdense (x pe < x ce ). A large drift velocity (Mach 4.5 with respect to the ion acoustic speed) between the plasma and probe was created with background electric and magnetic fields. Four distinct regions developed in the presences of the positive probe: a quasi-trapped electron region, an electron-depletion wing, an ion-rich wing, and a wake region. We report on the observations of strong electron heating mechanisms, space-charge wings, ion cyclotron charge-density eddies in the wake, electron acceleration due to a magnetic presheath, and the current-voltage relationship. [http://dx.

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Section: Simulation Techniquementioning

confidence: 99%

Dynamics of positive probes in underdense, strongly magnetized, E×B drifting plasma: Particle-in-cell simulations

Heinrich

Cooke

2013

Physics of Plasmas

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“…Application of object-oriented methods were applied to PIC codes to decrease the enhancement and maintenance burden while improving the fidelity of the modelling paradigm [33], and the resulting code was distributed as an open software addition to the Berkeley PIC code suite. The massively parallel computing model rose to prominence during this period as well [14,19,21]. By this time, two-and three-dimensional simulations were using ∼10 6 -10 8 particles on serial computers, and ∼10 8 -10 10 particles on massively parallel platforms.…”

Section: A Brief Historymentioning

confidence: 99%

“…A number of schemes have been implemented to improve the performance of particle simulations [14,19,21] brief calculations for each particle, which require primarily localized data, they are amenable to performance enhancement by parallel computing. A scheme for a parallel electromagnetic model is shown in figure 25 [20].…”

Section: High Performance Computingmentioning

confidence: 99%

Particle simulation of plasmas: review and advances

Verboncoeur

2005

Plasma Phys. Control. Fusion

548

375

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Particle simulation of plasmas, employed since the 1960s, provides a selfconsistent, fully kinetic representation of general plasmas. Early incarnations looked for fundamental plasma effects in one-dimensional systems with ∼10 2-10 3 particles in periodic electrostatic systems on computers with 100 kB memory. Recent advances model boundary conditions, such as external circuits to wave launchers, collisions and effects of particle-surface impact, all in fully relativistic three-dimensional electromagnetic systems using ∼10 6-10 10 particles on massively parallel computers. While particle codes still enjoy prominance in a number of basic physics areas, they are now often used for engineering devices as well.

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“…It is built up as a result of energy degradation in the course of the ionization and excitation processes by fast electrons, accelerated in the strong field of the cathode fall. The peaks due to Penning electrons, released in the reactions of metastable helium atoms with argon atoms (13) and (14), clearly stand out above the continuous spectrum at about 4.06 and 4.85 eV, as well as in the measured EEDF in Ref. 7.…”

Section: Application Of the Code To The Plasma Electron Spectrosmentioning

confidence: 75%

“…There are various techniques developed to speed up the PIC computations, e.g., the ion subcycling, the null collision method, etc. 11,12 Since 1990s parallel computing [13][14][15] improving significantly performance of the PIC/MCC simulations is an active area of research.…”

Section: For Details)mentioning

confidence: 99%

Particle in cell/Monte Carlo collision analysis of the problem of identification of impurities in the gas by the plasma electron spectroscopy method

2016

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The work deals with the Particle in Cell/Monte Carlo Collision (PIC/MCC) analysis of the problem of detection and identification of impurities in the nonlocal plasma of gas discharge using the Plasma Electron Spectroscopy (PLES) method. For this purpose, 1d3v PIC/MCC code for numerical simulation of glow discharge with nonlocal electron energy distribution function is developed. The elastic, excitation, and ionization collisions between electron-neutral pairs and isotropic scattering and charge exchange collisions between ion-neutral pairs and Penning ionizations are taken into account. Applicability of the numerical code is verified under the Radio-Frequency capacitively coupled discharge conditions. The efficiency of the code is increased by its parallelization using Open Message Passing Interface. As a demonstration of the PLES method, parallel PIC/ MCC code is applied to the direct current glow discharge in helium doped with a small amount of argon. Numerical results are consistent with the theoretical analysis of formation of nonlocal EEDF and existing experimental data.

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3-D ICEPIC simulations of the relativistic klystron oscillator

Cited by 38 publications

References 13 publications

Dynamics of positive probes in underdense, strongly magnetized, E×B drifting plasma: Particle-in-cell simulations

Dynamics of positive probes in underdense, strongly magnetized, E×B drifting plasma: Particle-in-cell simulations

Particle simulation of plasmas: review and advances

Particle in cell/Monte Carlo collision analysis of the problem of identification of impurities in the gas by the plasma electron spectroscopy method

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