Octree particle management for DSMC and PIC simulations

DOI10.1016/j.jcp.2016.01.020zbMath1373.76262OpenAlexW2544459152MaRDI QIDQ1674548

Jean-Luc Cambier, Robert Scott Martin

Publication date: 25 October 2017

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2016.01.020

zbMATH Keywords

particle-in-cell methodplasma simulationparticle methodoctreedynamic weightphase-space remapping

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Particle methods and lattice-gas methods (76M28) Statistical mechanics of plasmas (82D10)

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A velocity space hybridization-based Boltzmann equation solver ⋮ Hedging direct simulation Monte Carlo bets via event splitting ⋮ Moment-preserving and mesh-adaptive reweighting method for rare-event sampling in Monte-Carlo algorithms ⋮ A Fast Solver for Implicit Integration of the Vlasov--Poisson System in the Eulerian Framework

Uses Software

• CUDA

Cites Work

• Controlling the weights of simulation particles: adaptive particle management using \(k\)-d trees
• Reduction of the number of particles in the stochastic weighted particle method for the Boltzmann equation
• Dynamic and selective control of the number of particles in kinetic plasma simulations
• Fragmentation, merging, and internal dynamics for PIC simulation with finite size particles.
• A new method for coalescing particles in PIC codes.
• A stochastic weighted particle method for the Boltzmann equation
• Adaptive particle management in a particle-in-cell code