Moment Preserving Adaptive Particle Weighting Scheme for PIC Simulations
Abstract
The ratio of computational to physical particles is a key factor in determining the statistical scatter and accuracy in particle-based simulation. This is particularly true for problems characterized by wide ranges of number density such as those found in spacecraft electric propulsion plumes as well as ionizing discharges, where populations of electrons and excited states can grow exponentially. A particle management method must then be devised which balances statistical accuracy requirements with prevention of runaway computational costs. The standard approach of splitting and merging of particles, however, cannot guarantee simultaneous conservation of mass, momentum and energy using pair-wise coalescence (2:1 ratio), due to the insufficient degrees of freedom. As a result, various sophisticated models have been designed to minimize or internally store the error resulting from these merges. Some of these involve the interpolation of particle weights onto a grid, a procedure which can be costly and which may introduce diffusion. Instead, we have devised a simpler method which relies on the generation of two particles, providing the required freedom to conserve all moments up to 2nd order exactly. Thus, pair-wise reduction is obtained through an equivalent ratio of 4:2, but particle merges of arbitrary ratios (n+2):2 can be obtained with similar conservation properties. Furthermore, the method can be seen to conserve electrostatic energy using the additional available particle position degrees of freedom. The present work extends this exact moment-preserving merge through an octree-based adaptive mesh in velocity space to ensure that merging partners are relatively close in phase space. This mitigates artificial thermalization due to merging of particles with large opposite velocities such as those found in beam-beam interactions. An analogous particle split method is also described for re-populating depleted VDFs that result from the particle merging.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2012
- Accession Number
- ADA592923
Entities
People
- Jean Luc Cambier
- Robert R. S. Martin
Organizations
- Air Force Research Laboratory