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

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proximation. In fact, Eq. (616) is <strong>the</strong> Fourier analog <strong>of</strong> <strong>the</strong> so-called “streaming<br />

model” [508], as modified in [219] to take into account <strong>the</strong> density-velocity<br />

coupling.<br />

The physical interpretation <strong>of</strong> this result is as follows. The factors in square<br />

brackets denote <strong>the</strong> amplification <strong>of</strong> <strong>the</strong> power spectrum in redshift space due<br />

to infall (<strong>and</strong> <strong>the</strong>y constitute <strong>the</strong> only contribution in linear <strong>the</strong>ory, giving<br />

Kaiser’s [362] result). This gives a positive contribution to <strong>the</strong> quadrupole<br />

(l = 2) <strong>and</strong> hexacadupole (l = 4) anisotropies. On <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>, at small<br />

scales, as k increases <strong>the</strong> exponential factor starts to play a role, decreasing<br />

<strong>the</strong> power due to oscillations coming from <strong>the</strong> pairwise velocity along <strong>the</strong> line<br />

<strong>of</strong> sight. This leads to a decrease in monopole <strong>and</strong> quadrupole power with<br />

respect to <strong>the</strong> linear contribution; in particular, <strong>the</strong> quadrupole changes sign.<br />

In order to describe <strong>the</strong> non-linear behavior <strong>of</strong> <strong>the</strong> redshift-space power spectrum,<br />

it has become popular to resort to a phenomenological model to take<br />

into account <strong>the</strong> velocity dispersion effects [493]. In this case, <strong>the</strong> non-linear<br />

distortions <strong>of</strong> <strong>the</strong> power spectrum in redshift-space are written in terms <strong>of</strong><br />

<strong>the</strong> linear squashing factor <strong>and</strong> a suitable damping factor due to <strong>the</strong> pairwisevelocity<br />

distribution function<br />

Ps(k) = Pg(k)<br />

(1 + βµ 2 ) 2<br />

[1 + (kµσv) 2 . (617)<br />

/2] 2<br />

Here σv is a free parameter that characterizes <strong>the</strong> velocity dispersion along<br />

<strong>the</strong> line-<strong>of</strong>-sight. This Lorentzian form <strong>of</strong> <strong>the</strong> damping factor is motivated by<br />

empirical results showing an exponential one-particle 104 velocity distribution<br />

function [489]; comparison with N-body simulations have shown it to be a<br />

good approximation [132]; however, <strong>the</strong>se type <strong>of</strong> phenomenological models<br />

tend to approach <strong>the</strong> linear PT result faster than numerical simulations [301].<br />

In addition, although σv can be chosen to fit, say, <strong>the</strong> quadrupole-to-monopole<br />

ratio at some range <strong>of</strong> scales, <strong>the</strong> predictions for <strong>the</strong> monopole or quadrupole<br />

by <strong>the</strong>mselves do not work as well as for <strong>the</strong>ir ratio.<br />

Accuracy in describing <strong>the</strong> shape <strong>of</strong> <strong>the</strong> quadrupole to monopole ratio as a<br />

function <strong>of</strong> scale is important, since this statistic gives a direct determination<br />

<strong>of</strong> β from clustering in redshift surveys [290,131,132,302]. An alternative to<br />

phenomenological models, is to obtain <strong>the</strong> redshift-space power spectrum using<br />

approximations to <strong>the</strong> dynamics, as we now discuss.<br />

In <strong>the</strong> case <strong>of</strong> <strong>the</strong> Zel’dovich approximation (ZA), it is possible to obtain <strong>the</strong><br />

redshift-space power spectrum as follows [220,642]. In <strong>the</strong> ZA, <strong>the</strong> density field<br />

104 Alternatively, if one assumes <strong>the</strong> two-particle velocity distribution is exponential,<br />

<strong>the</strong> suppression factor is <strong>the</strong> square root <strong>of</strong> that in Eq. (617), with σv <strong>the</strong><br />

pairwise velocity dispersion along <strong>the</strong> line <strong>of</strong> sight, see e.g. [18]. The observational<br />

results regarding velocity distributions <strong>and</strong> <strong>the</strong>ir interpretation is briefly discussed<br />

in Sect. 8.3.2.<br />

213

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