Fig. 5.
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Summary statistics, P(ρ) (top left), W1 (bottom left), and χ (bottom right), for a set of Nreal = 100 realisations of a highly non-Gaussian field with ξ0 = 27 and other parameters of Δ = 0.25, R = 1, L = 4000 × Δ, α = 3/2, and Npts = 40 × 20002. The difference between P(ρ) and the MF prediction is also presented (top right). Error bars show the standard deviation, and the points the sample means. The BMF estimates of the PDF (solid blue lines, top panels) and W1 (bottom left panel) remain an excellent approximation for ξ0 > 20. The MF limit is a good approximation for all statistics in the high-density tails.
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