555 research outputs found
Large Scale Structure of the Universe: Current Problems
The mean power spectrum of galaxies is compared with theoretical models.
Possibilities to explain the observed power spectrum are discussed.
Superclusters and voids form a quasi-regular lattice of mean cell size 120 Mpc;
the main axis of the lattice is directed toward the supergalactic Y coordinate.
Principal conclusions are that on scales around 100 Mpc the Universe is neither
homogeneous nor isotropic and that some of the presently accepted cosmological
paradigms need revision if the available observational data represent a fair
sample of the Universe.Comment: 10 pages LaTeX text (sty files added), 6 PostScript Figures,
submitted to Proceedings of the Meeting "The Chaotic Universe", ed.
V.G.Gurzadyan and R.Ruffini, World Scientific, Singapor
Extended percolation analysis of the cosmic web
Aims. We develop an extended percolation method to allow the comparison of
geometrical properties of the real cosmic web with the simulated dark matter
web for an ensemble of over- and under-density systems. Methods. We scan
density fields of dark matter (DM) model and SDSS observational samples, and
find connected over- and underdensity regions in a large range of threshold
densities. Lengths, filling factors and numbers of largest clusters and voids
as functions of the threshold density are used as percolation functions.
Results. We find that percolation functions of DM models of different box sizes
are very similar to each other. This stability suggests that properties of the
cosmic web, as found in the present paper, can be applied to the cosmic web as
a whole. Percolation functions depend strongly on the smoothing length. At
smoothing length 1 Mpc the percolation threshold density for clusters
is , and for voids is , very different from percolation thresholds for random samples, . Conclusions. The extended percolation analysis is a
versatile method to study various geometrical properties of the cosmic web in a
wide range of parameters. Percolation functions of the SDSS sample are very
different from percolation functions of DM model samples. The SDSS sample has
only one large percolating void which fills almost the whole volume. The SDSS
sample contains numerous small isolated clusters at low threshold densities,
instead of one single percolating DM cluster. These differences are due to the
tenuous dark matter web, present in model samples, but absent in real
observational samples.Comment: 15 pages, 10 figures, Astronomy & Astrophysics (accepted
Optical and X-ray clusters as tracers of the supercluster-void network. I Superclusters of Abell and X-ray clusters
We study the distribution of X-ray selected clusters of galaxies with respect
to superclusters determined by Abell clusters of galaxies and show that the
distribution of X-ray clusters follows the supercluster-void network determined
by Abell clusters. We find that in this network X-ray clusters are more
strongly clustered than other clusters. Poor, non-Abell X-ray clusters follow
the supercluster-void network as well: these clusters are embedded in
superclusters determined by rich clusters and populate filaments between them.
We present a new catalog of superclusters of Abell clusters out to a redshift
of z_{lim}=0.13, a catalog of X-ray clusters located in superclusters
determined by Abell clusters, and a list of additional superclusters of X-ray
clusters.Comment: LaTex (sty files added), 16 pages, 3 ps figures, submitted to
Astronomical Journal. Animations of the 3D distribution of superclusters of
Abell and X-ray clusters at http://www.aai.ee/~maret/SCLVnet.ht
Environmental Enhancement of DM Haloes
We study the properties of dark matter haloes of a LCDM model in different
environments. Using the distance of the 5th nearest neighbour as an
environmental density indicator, we show that haloes in a high density
environment are more massive, richer, have larger radii and larger velocity
dispersions than haloes in a low density environment. Haloes in high density
regions move with larger velocities, and are more spherical than haloes in low
density regions. In addition, low mass haloes in the vicinity of the most
massive haloes are themselves more massive, larger, and have larger rms
velocities and larger 3D velocities than low mass haloes far from massive
haloes. The velocities of low mass haloes near massive haloes increase with the
parent halo mass. Our results are in agreement with recent findings about
environmental effects for groups and clusters of galaxies from deep (SDSS and
LCRS) surveys.Comment: 9 pages, 7 figures, submitted for Astronomy and Astrophysic
Evolution of superclusters and supercluster cocoons in various cosmologies
We investigate the evolution of superclusters and supercluster cocoons
(basins of attraction), and the influence of cosmological parameters to the
evolution. We perform numerical simulations of the evolution of the cosmic web
for different cosmological models: the LCDM model with a conventional value of
the dark energy (DE) density, the open model OCDM with no DE, the standard SCDM
model with no DE, and the Hyper-DE HCDM model with an enhanced DE density
value. We find ensembles of superclusters of these models for five evolutionary
stages, corresponding to the present epoch z = 0, and to redshifts z = 1, 3,
10, 30. We use diameters of the largest superclusters and the number of
superclusters as percolation functions to describe properties of the ensemble
of superclusters in the cosmic web. We analyse the size and mass distribution
of superclusters in models and in real Sloan Digital Sky Survey (SDSS) based
samples. In all models numbers and volumes of supercluster cocoons are
independent on cosmological epochs. Supercluster masses increase with time, and
geometrical sizes in comoving coordinates decrease with time, for all models.
LCDM, OCDM and HCDM models have almost similar percolation parameters. This
suggests that the essential parameter, which defines the evolution of
superclusters, is the matter density. The DE density influences the growth of
the amplitude of density perturbations, and the growth of masses of
superclusters, albeit significantly less strongly. The HCDM model has the
largest speed of the growth of the amplitude of density fluctuations, and the
largest growth of supercluster masses during the evolution. Geometrical
diameters and numbers of HCDM superclusters at high threshold densities are
larger than for LCDM and OCDM superclusters. SCDM model has about two times
more superclusters than other models; SCDM superclusters have smaller diameters
and masses.Comment: 14 pages, 10 figures (accepted by Astronomy & Astrophysics). arXiv
admin note: text overlap with arXiv:1901.0937
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