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

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Fig. 46. Projected leading order PT predictions (solid curves) <strong>and</strong> N-body results<br />

(points with sampling errors) for <strong>the</strong> angular 3-point amplitude q3(α) at fixed<br />

θ12 = θ13 = 2 deg for a survey with <strong>the</strong> APM selection function. N-body results<br />

correspond to <strong>the</strong> average <strong>and</strong> variance <strong>of</strong> 5 realizations <strong>of</strong> <strong>the</strong> APM-like model<br />

(top) <strong>and</strong> <strong>the</strong> SCDM model (bottom). The dashed lines show <strong>the</strong> corresponding PT<br />

predictions for r12 = r13 = 15 Mpc/h projected with <strong>the</strong> hierarchical model.<br />

model does not work well, as discussed above.<br />

In <strong>the</strong> weakly nonlinear regime <strong>the</strong> third moment <strong>of</strong> smoo<strong>the</strong>d angular fluctuations,<br />

defined in (579), can be explicitly written in terms <strong>of</strong> <strong>the</strong> power<br />

spectrum using PT. It is given by,<br />

ω3 =6(2π) 2<br />

<br />

+ 1<br />

<br />

2<br />

dχ χ 6 ψ 3 <br />

6<br />

(χ)<br />

7<br />

k dk W 2 2D (k D θ) P(k)<br />

<br />

<br />

kdkW 2 2 2D(k D θ) P(k)<br />

k 2 dk Dθ W2D(k D θ) W ′ <br />

2D (k D θ) P(k)<br />

(586)<br />

where W ′ 2D is <strong>the</strong> derivative <strong>of</strong> <strong>the</strong> top -hat window W2D defined in Eq. (582).<br />

Therefore, in case <strong>of</strong> a power-law spectrum P(k) ∼ k n , we have [48],<br />

s3 = r3<br />

36<br />

7<br />

<br />

3<br />

− (n + 2) , (587)<br />

2<br />

with r3 given in general by Eq. (585). The coefficient r3 is found in practice<br />

to be <strong>of</strong> order unity <strong>and</strong> to be very weakly dependent on <strong>the</strong> adopted shape<br />

for <strong>the</strong> selection function.<br />

It is worth to note that <strong>the</strong> hierarchical model in Sect. 7.2.3 yields a different<br />

prediction for s3 than <strong>the</strong> above tree-level value. In <strong>the</strong> hierarchical case,<br />

s3 ≃ r3S3 ([249,250]) with S3 = 34/7 − (n + 3). For example, for n ≃ −1,<br />

<strong>the</strong> hierarchical model yields s3 ≃ 3.43 while <strong>the</strong> tree level prediction yields:<br />

202

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