Computer simulation using particles
Computer simulation using particles
A numerical method for suspension flow
Journal of Computational Physics
An adaptive grid with directional control
Journal of Computational Physics
Dynamic and selective control of the number of particles in kinetic plasma simulations
Journal of Computational Physics
Plasma Physics Via Computer
Journal of Computational Physics
Journal of Computational Physics
A Multi Level Multi Domain Method for Particle In Cell plasma simulations
Journal of Computational Physics
Controlling the weights of simulation particles: adaptive particle management using k-d trees
Journal of Computational Physics
Hi-index | 31.47 |
The adaptation of PIC methods requires the ability to change the number of particles during the calculation. For PIC methods it is not sufficient to adapt the computational grid. It also necessary to control the local number of particles per cell (particle rezoning) by increasing or decreasing its value to control the local accuracy. In the present paper, we describe some general theoretical considerations regarding the accuracy of various particle rezoning methods. Four algorithms are derived and applied to 1D and 2D PIC simulations. The merits and drawbacks of the algorithms are discussed. Particle rezoning is then applied to 1D studies of collisionless shocks and the 2D simulations of charging of dust immersed in a plasma.