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.