Improved particle statistics for laser-plasma self-injection simulations
Author(s) -
B. Cowan,
S. Kalmykov,
B. A. Shadwick,
K. J. Bunkers,
David Bruhwiler,
D. Umstadter
Publication year - 2012
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4773725
Subject(s) - particle (ecology) , computation , convergence (economics) , noise (video) , plasma , particle in cell , computer science , laser , statistical physics , statistics , computational physics , algorithm , physics , optics , mathematics , artificial intelligence , oceanography , quantum mechanics , geology , economics , image (mathematics) , economic growth
We describe methods for improving the accuracy of injected particle beams by selectively enhancing the particle statistics in particle-in-cell simulations, using reduced model computations as a guide. We demonstrate convergence of key beam parameters in two dimensions, and show improved noise properties in three dimensions.
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