Supporting data: Suppressing grid instability and noise in particle-in-cell simulation by smoothing

This archive contains data supporting the research described in the paper, "Suppressing grid instability and noise in particle-in-cell simulation by smoothing," as well as scripts to reproduce the data and analyze the data.

Description of files--------------------

- finiteDifferenceCauchySqrSmeared3ptPoissonPlasmaDispersion.nb  A Mathematica notebook that calculates roots of the finite difference  plasma dispersion.

- pbEsPtclSim1d.py  A Python script that runs 1D MC-PIC simulations with periodic boundaries.

- figN.zip  contains a directory figN/ with the data needed for figN,  as well as a Python script figNplot*.py that will produce pdfs for  Figure N.  These scripts demonstrate how to extract desired data from  the raw data.

For fig2, the data the in cauchySqr*.py files output by the  finiteDifferenceCauchySqrSmeared3ptPoissonPlasmaDispersion.nb  notebook.  fig2plotGrowthRates.py is the script that reads those  data files and produces plots.

For fig3-8, the data was produced by pbEsPtclSim1d.py and  is in sub-directories like  pbcVdOverOmegapDx0p1debyeOverDx0p02Nx100ppc10000Tp1000dtf0p1stab0Nwaves0amp0/  The data output is in hdf5 format.  The pbEsPtclSim1d.py script can be consulted to determine precisely  what information is stored in each file.  Roughly:  - sim.h5 contains parameters describing the simulation -- number of cells,    Debye length resolution, etc.  - History.h5 contains multiple datasets representing quantities varying    in time.  E.g., it contains the total particle energy vs. time.