Title :
Controlling Self-Force for Unstructured Particle-in-Cell (PIC) Codes
Author :
Bettencourt, Matthew T.
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
A new algorithm was developed, which reduces the self-force in particle-in-cell codes on unstructured meshes in a predictable and controllable way. This is accomplished by computing a charge density weighting function for a particle, which reproduces the Green´s function solution to Poisson´s equation at nodes when using a standard finite element method methodology. This provides a superior local potential and allows for particle-particle particle-mesh techniques to be used to subtract off local force contributions, including fictitious self-forces resulting in accurate long-range forces on a particle and improved local Coulomb collisions. Local physical forces are then computed using the Green´s function on local particle pairs and added to the long-range forces. Results were shown with up to five orders reduction in self-force and superior intraparticle forces for two test cases.
Keywords :
Green´s function methods; Poisson equation; finite element analysis; plasma collision processes; plasma density; plasma kinetic theory; plasma simulation; Green´s function solution; PIC code; Poisson equation; charge density weighting function; improved local Coulomb collisions; intraparticle force; local force contribution; local particle pairs; local physical force; long-range force; particle-particle particle-mesh technique; self-force algorithm; standard finite element method; unstructured meshes; unstructured particle-in-cell codes; Approximation methods; Electric potential; Equations; Force; Green´s function methods; Laplace equations; Standards; Computational modeling; computer simulation; plasma applications; plasma materials processing; plasma simulation; plasma simulation.;
Journal_Title :
Plasma Science, IEEE Transactions on
DOI :
10.1109/TPS.2014.2313515