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Large-Scale Structure of the Universe and Cosmological ...

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For <strong>the</strong> reasons discussed in Sect. 4.1.1, it is convenient to rescale <strong>the</strong> third<br />

moment <strong>and</strong> define <strong>the</strong> skewness parameter S3 (see Sect. 2),<br />

S3 ≡ 〈δ3 〉<br />

〈δ2 34<br />

2 =<br />

〉 7 + O(σ2 ). (229)<br />

The skewness measures <strong>the</strong> tendency <strong>of</strong> gravitational clustering to create an<br />

asymmetry between underdense <strong>and</strong> overdense regions (see Fig. 20). Indeed,<br />

as clustering proceeds <strong>the</strong>re is an increased probability <strong>of</strong> having large values<br />

<strong>of</strong> δ (compared to a Gaussian distribution), leading to an enhancement <strong>of</strong> <strong>the</strong><br />

high-density tail <strong>of</strong> <strong>the</strong> PDF. In addition, as underdense regions exp<strong>and</strong> <strong>and</strong><br />

most <strong>of</strong> <strong>the</strong> volume becomes underdense, <strong>the</strong> maximum <strong>of</strong> <strong>the</strong> PDF shifts to<br />

negative values <strong>of</strong> δ. From Eq. (144) we see that <strong>the</strong> maximum <strong>of</strong> <strong>the</strong> PDF is<br />

in fact reached at<br />

δmax ≈ − S3<br />

2 σ2 , (230)<br />

to first order in σ. We thus see that <strong>the</strong> skewness factor S3 contains very useful<br />

information on <strong>the</strong> shape <strong>of</strong> <strong>the</strong> PDF.<br />

5.1.2 The Smoo<strong>the</strong>d Case<br />

At this stage however <strong>the</strong> calculation in Eq. (229) is somewhat academic because<br />

it applies to <strong>the</strong> statistical properties <strong>of</strong> <strong>the</strong> local, unfiltered, density<br />

field. In practice <strong>the</strong> fields are always observed at a finite spatial resolution<br />

(whe<strong>the</strong>r it is in an observational context or in numerical simulations). The<br />

effect <strong>of</strong> filtering, which amounts to convolving <strong>the</strong> density field with some<br />

window function, should be taken into account in <strong>the</strong> computation <strong>of</strong> S3. The<br />

main difficulty lies in <strong>the</strong> complexity this brings into <strong>the</strong> computation <strong>of</strong> <strong>the</strong><br />

angular integral. To obtain <strong>the</strong> skewness <strong>of</strong> <strong>the</strong> local filtered density, δR, one<br />

indeed needs to calculate,<br />

with<br />

〈δ 3 <br />

R 〉 = 3 〈<br />

δ (1)<br />

2 R<br />

δ (2)<br />

R 〉 (231)<br />

δ (1)<br />

<br />

R =a d 3 kδ(k) exp[ik · x] W3(k1 R), (232)<br />

δ (2)<br />

R =a2<br />

<br />

d 3 <br />

k1 d 3 k2 δ(k1) δ(k2) exp[i(k1 + k2) · x] ×<br />

F2 (k1,k2) W3(|k1 + k2| R), (233)<br />

where W3(k) is <strong>the</strong> 3D filtering function in Fourier space. It leads to <strong>the</strong><br />

expression for <strong>the</strong> third moment,<br />

〈δ 3 R〉 = 6 a 4<br />

<br />

d 3 k1<br />

<br />

d 3 k2 P(k1) P(k2) W3(k1 R) W3(k2 R) ×<br />

F2(k1,k2) W3(|k1 + k2| R), (234)<br />

85

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