Abstract

Particle-in-Cell (PIC) methods are widely used computational tools for fluid and kinetic plasma modeling. While both the fluid and kinetic PIC approaches have been successfully used to target either kinetic or fluid simulations, little was done to combine fluid and kinetic particles under the same PIC framework. This work addresses this issue by proposing a new PIC method, PolyPIC, that uses polymorphic computational particles. In this numerical scheme, particles can be either kinetic or fluid, and fluid particles can become kinetic when necessary, e.g. particles undergoing a strong acceleration. We design and implement the PolyPIC method, and test it against the Landau damping of Langmuir and ion acoustic waves, two stream instability and sheath formation. We unify the fluid and kinetic PIC methods under one common framework comprising both fluid and kinetic particles, providing a tool for adaptive fluid-kinetic coupling in plasma simulations.

Highlights

  • Particle-in-Cell (PIC) methods are among the most popular computational methods for plasma simulations

  • We propose a novel PIC method, PolyPIC, using polymorphic computational particles that allow for a smooth transition from fluid to kinetic approach

  • An obvious choice is to switch from fluid to kinetic particles when fluid particles reach a threshold velocity or acceleration:

Read more

Summary

Introduction

Particle-in-Cell (PIC) methods are among the most popular computational methods for plasma simulations. The fluid and kinetic PIC methods originated and evolved rather independently. The fluid PIC method was first developed in the Sixties by Harlow to solve the fluid equations by advecting fluid quantities (mass, momentum, and energy) with computational particles [1]. New fluid PIC schemes were developed to decrease numerical diffusion and to solve plasma and material science problems [2, 3]. The fluid PIC method eventually merged with the Material Point Method for simulating continuous materials [4]. FLIP MHD [5] and Slurm [6] are among the most successful fluid PIC codes for plasma simulations

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call