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Astron. Astrophys. 318, 667-672 (1997)
2. Prediction of the perturbation theory
In the second-order Eulerian perturbation theory, the bispectrum
, which is the Fourier transform of the
three-point correlation correlation function, is predicted to be (Fry
1984)
![[EQUATION]](img25.gif)
Strictly speaking, the above expression is derived only for the
Einstein-de Sitter universe. However it has been shown that this
expression is also a very accurate approximation for
(Bouchet et al. 1992, Catelan et al. 1995), so
we will apply this equation to the low-density flat model with
as well (Sect. 3).
The three-point correlation function is then
![[EQUATION]](img28.gif)
After some tedious calculation, we can write
as
![[EQUATION]](img30.gif)
where , is the
two-point correlation function
![[EQUATION]](img33.gif)
and and (l is
0 or 2) are respectively
![[EQUATION]](img36.gif)
and
![[EQUATION]](img37.gif)
For a power-law power spectrum , from the
above expressions, one can easily get the result of Fry (1984),
i.e.
![[EQUATION]](img39.gif)
where is the slope of
[ ]. For a realistic power spectrum, to
calculate the three-point correlation function, one has to integrate
Eqs. (6-8) numerically as we do below.
The properties of for scale-free power
spectra are very instructive for understanding the results of
for realistic power spectra, therefore we first
discuss for scale-free power spectra. In this
case, the normalized three-point correlation function Q only
depends on the shape of the triangle and on the index n of the
power spectrum. There are many ways to express the shape of a
triangle. After some trials, we found that Peebles's variables
r, u and v (Peebles 1980) provide a very good
presentation of the three-point correlation function. For a triangle
with three sides , r, u, and
v are defined as:
![[EQUATION]](img43.gif)
Clearly, u and v characterize the shape and r
the size for a triangle. With these variables, Q does not
depend on r and depends very weakly on u for a
scale-free . The dependence of Q on the
triangle shape is then mainly the dependence on v. Figure 1
shows Q as a function of v for three scale-free spectra
with , 1.5 and 2 (or equivalently
, -1.5 and -1). For each spectrum, u is
fixed to be 1, 2 or 10. The plot confirms a weak dependence of
Q on u. Depending on the index n, Q may
depend on v strongly ( ) or weakly
( ), therefore the v -dependence provides
a way to constrain the shape of the power spectrum.
![[FIGURE]](img50.gif) |
Fig. 1. The normalized three-point correlation function Q as a function of v, predicted by the second-order perturbation theory for scale-free power spectra with (thin curves), 1.5 and 2 (thick curves). Solid lines are for , dashed lines for and dot-dashed lines for .
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In Fig. 2 we present our numerical results of Q for
three realistic power spectra. The SCDM ( ) and
LCDM ( ) spectra are taken from Bardeen et al.
(1986), and the MDM spectrum is the power spectrum given by Klypin et
al. (1993) for cold dark matter at in the MDM
model of . As in the case of scale-free power
spectra, the normalized function Q does not depend on the
amplitude of the power spectrum. Here we are interested in the
quasilinear regime (i.e. ) where the three-point
correlation function can be estimated accurately both in observations
and in N-body simulations and where the second-order approximation for
is likely to be valid according to previous
simulation tests on . In this regime, the
free-streaming motion of neutrinos in the MDM model is not important
and our treatment which considers only CDM is valid. The figure shows
that the normalized three-point correlation function of SCDM is
significantly different from those of LCDM and MDM. Even the LCDM and
MDM models show sufficient difference in Q for some
configurations (e.g. and
), so that one can hope to distinguish between
these two interesting models through analyzing the three-point
correlation function for a large galaxy survey. The results can be
easily understood with the results for scale-free power spectra. For
the scales k we considered, the SCDM spectrum has the largest
and the MDM the smallest effective index among the three spectra,
therefore SCDM shows the strongest and MDM the weakest variation of
Q with v.
![[FIGURE]](img56.gif) |
Fig. 2. The normalized three-point correlation function Q as a function of v, predicted by the second-order perturbation theory for realistic power spectra. Solid lines are for SCDM, dashed lines for LCDM and dot-dashed lines for MDM.
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© European Southern Observatory (ESO) 1997
Online publication: July 3, 1998
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