Figures 5
and 6
depict the distribution of dark matter particles (upper panel), peaks (middle
panel), and halos (lower panel) in the LCDM model at
and
within a circular
slice (comoving radius of
and thickness of
). We locate a fiducial
observer in the center of the circle. Then the comoving position vector
for a particle with a
comoving peculiar velocity
at a redshift
is observed at the position s in redshift space:
We use two-point correlation functions to quantify stochasticity and nonlinearity in biasing of peaks and
halos, and explore the signature of the redshift-space distortion. Since we are interested in the
relation of the biased objects and the dark matter, we introduce three different correlation
functions: the auto-correlation functions of dark matter and the objects,
and
, and their
cross-correlation function
. In the present case, the subscript o refers to either h (halos) or
(peaks). We also use the superscripts R and S to distinguish quantities defined in real
and redshift spaces, respectively. We estimate those correlation functions using the standard
pair-count method. The correlation function
is evaluated under the distant-observer
approximation.
Those correlation functions are plotted in Figures 7
and 8
for peaks and halos, respectively. The
correlation functions of biased objects generally have larger amplitudes than those of mass. In
nonlinear regimes (
) the finger-of-God effect suppresses the amplitude of
relative to
, while
is larger than
in linear regimes (
) due to the coherent velocity
field.
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