𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Dynamic and Selective Control of the Number of Particles in Kinetic Plasma Simulations

✍ Scribed by Giovanni Lapenta; Jeremiah U. Brackbill

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
704 KB
Volume
115
Category
Article
ISSN
0021-9991

No coin nor oath required. For personal study only.

✦ Synopsis

An algorithm for the dynamic control of the number of particles in a particle-in-cell (PIC), plasma simulation is presented. The algorithm selectively splits and coalesces particles to control the number of particles in each grid cell. It is designed for multiple-length scale problems where an adaptive grid can be applied and for PIC simulations on parallel computers where a constant number of particles per cell is useful for computational efficiency. The algorithm preserves the charge assignment at grid points while splitting one particle into two, or while coalescing two particles into one. Errors in momentum or energy conservation are controlled by a simple, a prioritest. The accuracy of the algorithm is demonstrated in several simulations in one dimension, including a collisionless slow-shock, where an adaptive grid calculation with dynamic number control gives comparable accuracy to a uniformly zoned calculation without dynamic control with just (50 %) of the effort. 1994 Academic Press, Inc.

πŸ“œ SIMILAR VOLUMES

Simulations of instability in dynamic fr
Simulations of instability in dynamic fracture by the cracking particles method
✍ Timon Rabczuk; Jeong-Hoon Song; Ted Belytschko πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 791 KB

Crack instabilities and the phenomenon of crack speed saturation in a brittle material (PMMA) are studied with a meshfree cracking particle method. We reproduce the experimental observation that the computed terminal crack speeds attained in PMMA specimens are substantially lower than the Rayleigh w

Multi-scale plasma simulation by the int
Multi-scale plasma simulation by the interlocking of magnetohydrodynamic model and particle-in-cell kinetic model
✍ Tooru Sugiyama; Kanya Kusano πŸ“‚ Article πŸ“… 2007 πŸ› Elsevier Science 🌐 English βš– 924 KB

Many kinds of simulation models have been developed to understand the complex plasma systems. However, these simulation models have been separately performed because the fundamental assumption of each model is different and restricts the physical processes in each spatial and temporal scales. On the

Predicting the Limit of Control in the A
Predicting the Limit of Control in the ATRP Process: Results from Kinetic Simulations
✍ Helena Bergenudd; Mats Jonsson; Eva MalmstrΓΆm πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 602 KB

## Abstract Kinetic simulations are reported, where the ATRP equilibrium constant __K__~ATRP~ is varied and the rates and degree of control in different ATRP systems are evaluated. The apparent rate constant __k__~app~ increases with increasing __K__~ATRP~, but a maximum is reached. The limit of co

Quantum Color Dynamic Simulations of the
Quantum Color Dynamic Simulations of the Strongly Coupled Quark-Gluon Plasma
✍ V. S. Filinov; M. Bonitz; Y. B. Ivanov; V. V. Skokov; P. R. Levashov; V. E. Fort πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 147 KB πŸ‘ 1 views

## Abstract A strongly coupled plasma of quark and gluon quasiparticles is studied by combination of Path integral Monte Carlo and quantum Wigner dynamics simulations. This method extends previous classical nonrelativistic simu‐lations based on a color Coulomb interaction to the quantum regime. Fir