Plasma Physics via Computer Simulation
By C. Birdsall, A. Langdon. 2018
5,067 citations recorded by the source corpus.
PART 1: PRIMER Why attempting to do plasma physics via computer simulation using particles makes good sense Overall view of a one dimensional electrostatic program A one dimensional electrostatic program ES1 Introduction to the numerical methods used Projects for ES1 A 1d electromagnetic program EM1 Projects for EM1 PART 2: THEORY Effects of the spatial grid Effects of the finitw time ste Energy-conserving simulation models Multipole models Kinetic theory for fluctuations and noise collisions Kinetic properties: theory, experience and heuristic estimates PART 3: PRACTICE Electrostatic programs in two and three dimensions Electromagnetic programs in two and three dimensions Particle loading, injection boudary conditions and external circuit PART 4: APPENDICES
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7d15851cde781f3cc7f147c40e0c019c36bed520
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Citations in the corpus
- Ion acceleration by superintense laser-plasma interaction (2013, methodology): “The PIC method (Dawson, 1983; Birdsall and Langdon, 1991), mentioned in the Introduction, is the most widely used approach to the kinetic simulation of plasmas.”
- Particle Acceleration in Relativistic Jets Due to Weibel Instability (2003, background): “Descriptions of PIC codes are presented in Dawson (1983), Birdsall & Langdon (1 995), and Hickory & Eastwood (1988).”
- Particle simulation of plasmas: review and advances (2005, methodology): “4, called the leapfrog algorithm [1].”
- Monte Carlo model for analysis of thermal runaway electrons in streamer tips in transient luminous events and streamer zones of lightning leaders (2006, background): “The initial electron set is normally assigned a Maxwellian velocity distribution function [Chen, 1984, p. 226; Birdsall and Langdon, 1991, p. 390] corresponding to an initial electron temperature of T e = 5800 K (i.e., 0.5 eV).”
- Molecular dynamics for low temperature plasma–surface interaction studies (2009, methodology): “utral 'collisions,' generally employ spatial meshes or grids. Two well-known techniques are 'particle-in-cell' (PIC) and 'Direct Simulation Monte Carlo' (DSMC) methods. [Birdsall and Langdon, 1985; Hockney and Eastwood, 1981; Bird, 1994] PIC techniques are often applied”
- Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation (2017, methodology): “Following Birdsall and Langdon (2004), we apply here the method of leapfrog integration to approximate the Hamiltonian equations numerically.”
- Probability theory of electron-molecule, ion-molecule, molecule-molecule, and Coulomb collisions for particle modeling of materials processing plasmas and cases (2000, methodology): “The details of the PIC method can be found in Birdsall and Langdon’s book [ 2 ], Hockney and Eastwood’s book [3], and Birdsall’s review [4].”
- A spectral, quasi-cylindrical and dispersion-free Particle-In-Cell algorithm (2015, background): “This smoothing is performed directly in spectral space, by multiplying the charge and currents by a transfer function T̂ (kz, k⊥) which damps the high frequencies k, and whose mathematical form is identical to the spectral Cartesian representation of a single-pass binomial filter [1].”
- Recent Advances in Understanding Particle Acceleration Processes in Solar Flares (2011, methodology): “Such atest particle approach is valid for up to only∼105 test particles (Birdsall & Langdon 1985), and we shall return to this point in Section 4.7.”
- The physics of streamer discharge phenomena (2020, methodology): “Streamer discharges can be simulated with particle-in-cell (PIC) codes [200, 201] coupled with a Monte Carlo collision (MCC) scheme [202].”