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Besides Maxwellian, we want to add other analytical distributions functions:
The text was updated successfully, but these errors were encountered:
using PyPlot fm(v) = exp(-v^2) fk(v, κ) = (1+v^2/κ)^(-κ) κ = [2, 5, 10, 20] xrange = range(-4.75, 4.75, 100) semilogy(xrange, fm.(xrange), "k--", label="Maxwellian") for i in eachindex(κ) semilogy(xrange, fk.(xrange, κ[i]), label="κ = $(κ[i])") end ylim(1e-4, 1) legend() savefig("kappa_distributions.png", bbox_inches="tight")
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Actually the above one is a simplified version of the Kappa distribution. Check this paper for the full version.
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Besides Maxwellian, we want to add other analytical distributions functions:
The text was updated successfully, but these errors were encountered: