Loading non-Maxwellian Velocity Distributions in Particle Simulations
arXiv:2510.11890 · doi:10.1029/2025JA034669
Abstract
Numerical procedures for generating non-Maxwellian velocity distributions in particle simulations are presented. First, Monte Carlo methods for an distribution that generalizes flattop and kappa distributions are discussed. Then, two rejection methods for the regularized kappa distribution are presented, followed by a comparison in the space. A simple recipe is proposed for the subtracted kappa distribution. Properties and numerical recipes for the ring and shell distributions with a finite Gaussian width are discussed. The ring and shell Maxwellians are further introduced as alternatives to the ring and shell distributions. Finally, methods for the super-Gaussian and the filled-shell distributions are presented.
To appear in JGR Space Physics; References corrected
References in corpus (5)
- The -cookbook: a novel generalizing approach to unify -like distributions for plasma particle modeling
- Loading a relativistic kappa distribution in particle simulations
- Fast inverse transform sampling of non-Gaussian distribution functions in space plasmas
- Loading loss-cone distributions in particle simulations
- A gamma variate generator with shape parameter less than unity