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Fundamental issues in fluid modeling: Direct substitution and aliasing methods
Author(s) -
R. E. Robson,
P. Nicoletopoulos,
M. Hildebrandt,
Ronald D. White
Publication year - 2012
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.4768421
Subject(s) - charged particle , electron , substitution (logic) , physics , aliasing , type (biology) , substitution method , statistical physics , computational physics , particle (ecology) , ion , mechanics , computer science , nuclear physics , quantum mechanics , ecology , oceanography , artificial intelligence , undersampling , biology , geology , optics , programming language
It is shown how the accuracy of fluid models of charged particles in gases can be improved significantly by direct substitution of swarm transport coefficient data, rather than cross sections, into the average collision terms. This direct substitution method emerges in a natural way for fluid formulations in which the role of the mean energy is transparent, whatever the mass of the charged particles in equation (ions or electrons), and requires no further approximations. The procedure is illustrated by numerical examples for electrons, including the operational window of EN for an idealized Franck-Hertz experiment. Using the same fluid formulation, we develop an aliasing method to estimate otherwise unknown mobility data for one type of particle, from known mobility data for another type of particle. The method is illustrated for muons in hydrogen, using tabulated data for protons in the same gas. © 2012 American Institute of Physics.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

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