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Table B.1.

Key quantities and definitions used in this paper.

Symbol Name Definition/formula See Eq. # Major properties
X(x) Random field Random variable
X(i)(x) ith realization of X(x) Single divergence map
σ2 Variance of X σ2 = 𝔼[X(x)2] Eq. (10) 𝔼[X(x)] = 0
γ1 Skewness of X Eq. (9)
γ(i) Skewness of map i Eq. (10) X(i)(x)⟩ = 0
Skewness of dataset
B Bispectrum (a) Eq. (7)
P Power spectrum (a) Eq. (11)
b Bicoherence (b) Eq. (12) significant if
N # of realizations of X N = 365 × 11 = 4015
NB # of realiz. used in NB >  N due to azim. average
Ak, l Coupling coefficient Eq. (17)
XNL NL (c) model component XNL(m) = ∑kAk, m − kXG(k)XG(m − k) Eqs. (14)–(16) X(m) = XG(m)+XNL(m)
fNL(k) NL (c) fraction of P(k) Eqs. (D.1),(D.2)
bP Bicoherence (P-norm.) Eqs. (D.3),(D.2)
fNL NL (c) fraction of σ2 Eq. (D.5)

Notes. Estimators for these quantities are given by averaging realizations for estimating the expectation values in the above formulas; see Appendix B. ⟨f(x)⟩ denotes a spatial average of f. The data have zero spatial mean by construction.

(a)

The bispectrum and power spectrum as defined here are actually bispectral and power spectral densities.

(b)

Also known as bispectral coherence.

(c)

NL is shorthand for nonlinear.

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