528 research outputs found
The Amplitude of Mass Fluctuations
We determine the linear amplitude of mass fluctuations in the universe,
sigma_8, from the abundance of massive clusters at redshifts z=0.5 to 0.8. The
evolution of massive clusters depends exponentially on the amplitude of mass
fluctuations and thus provides a powerful measure of this important
cosmological parameter. The relatively high abundance of massive clusters
observed at z>0.5, and the relatively slow evolution of their abundance with
time, suggest a high amplitude of mass fluctuations: sigma_8=0.9 +-10% for
Omega_m=0.4, increasing slightly to sigma_8=0.95 for Omega_m=0.25 and
sigma_8=1.0 for Omega_m=0.1 (flat CDM models). We use the cluster abundance
observed at z=0.5 to 0.8 to derive a normalization relation from the
high-redshift clusters, which is only weakly dependent on Omega_m:
sigma_8*Omega_m^0.14 = 0.78 +-0.08. When combined with recent constraints from
the present-day cluster mass function (sigma_8*Omega_m^0.6=0.33 +-0.03) we find
sigma_8=0.98 +-0.1 and Omega_m=0.17 +-0.05. Low sigma_8 values (<0.7) are
unlikely; they produce an order of magnitude fewer massive clusters than
observed.Comment: 12 pages including 3 figures; updated to match published versio
The Shape, Multiplicity, and Evolution of Superclusters in LambdaCDM Cosmology
We determine the shape, multiplicity, size, and radial structure of
superclusters in the LambdaCDM concordance cosmology from z = 0 to z = 2.
Superclusters are defined as clusters of clusters in our large-scale
cosmological simulation. We find that superclusters are triaxial in shape; many
have flattened since early times to become nearly two-dimensional structures at
present, with a small fraction of filamentary systems. The size and
multiplicity functions are presented at different redshifts. Supercluster sizes
extend to scales of ~ 100 - 200 Mpc/h. The supercluster multiplicity (richness)
increases linearly with supercluster size. The density profile in superclusters
is approximately isothermal (~ R^{-2}) and steepens on larger scales. These
results can be used as a new test of the current cosmology when compared with
upcoming observations of large-scale surveys.Comment: 33 pages, 15 figures, accepted to ApJ; minor content changes, some
figures removed to shorten pape
Accurate Realizations of the Ionized Gas in Galaxy Clusters: Calibrating Feedback
Using the full, three-dimensional potential of galaxy cluster halos (drawn
from an N-body simulation of the current, most favored cosmology), the
distribution of the X-ray emitting gas is found by assuming a polytropic
equation of state and hydrostatic equilibrium, with constraints from
conservation of energy and pressure balance at the cluster boundary. The
resulting properties of the gas for these simulated redshift zero clusters (the
temperature distribution, mass-temperature and luminosity-temperature
relations, and the gas fraction) are compared with observations in the X-ray of
nearby clusters. The observed properties are reproduced only under the
assumption that substantial energy injection from non-gravitational sources has
occurred. Our model does not specify the source, but star formation and AGN may
be capable of providing this energy, which amounts to 3 to 5 x10^{-5} of the
rest mass in stars (assuming ten percent of the gas initially in the cluster
forms stars). With the method described here it is possible to generate
realistic X-ray and Sunyaev-Zel'dovich cluster maps and catalogs from N-body
simulations, with the distributions of internal halo properties (and their
trends with mass, location, and time) taken into account.Comment: Matches ApJ published version; 30 pages, 7 figure
Evolution of the Cluster Correlation Function
We study the evolution of the cluster correlation function and its
richness-dependence from z = 0 to z = 3 using large-scale cosmological
simulations. A standard flat LCDM model with \Omega_m = 0.3 and, for
comparison, a tilted \Omega_m = 1 model, TSCDM, are used. The evolutionary
predictions are presented in a format suitable for direct comparisons with
observations. We find that the cluster correlation strength increases with
redshift: high redshift clusters are clustered more strongly (in comoving
scale) than low redshift clusters of the same mass. The increased correlations
with redshift, in spite of the decreasing mass correlation strength, is caused
by the strong increase in cluster bias with redshift: clusters represent higher
density peaks of the mass distribution as the redshift increases. The
richness-dependent cluster correlation function, presented as the
correlation-scale versus cluster mean separation relation, R_0 - d, is found to
be, remarkably, independent of redshift to z <~ 2 for LCDM and z <~ 1 for TCDM
(for a fixed correlation function slope and cluster mass within a fixed
comoving radius). The non-evolving R_0 - d relation implies that both the
comoving clustering scale and the cluster mean separation increase with
redshift for the same mass clusters so that the R_0 - d relation remains
essentially unchanged. The evolution of the R_0 - d relation from z ~ 0 to z ~
3 provides an important new tool in cosmology; it can be used to break
degeneracies that exist at z ~ 0 and provide precise determination of
cosmological parameters.Comment: AASTeX, 15 pages, including 5 figures, accepted version for
publication in ApJ, vol.603, March 200
The Mass Power Spectrum in Quintessence Cosmological Models
We present simple analytic approximations for the linear and fully evolved
nonlinear mass power spectrum for spatially flat cold dark matter (CDM)
cosmological models with quintessence (Q). Quintessence is a time evolving,
spatially inhomogeneous energy component with negative pressure and an equation
of state w_Q < 0. It clusters gravitationally on large length scales but
remains smooth like the cosmological constant on small length scales. We show
that the clustering scale is determined by the Compton wavelength of the
Q-field and derive a shape parameter, \Gamma_Q, to characterize the linear mass
power spectrum. The growth of linear perturbations as functions of redshift,
w_Q, and matter density \Omega_m is also quantified. Calibrating to N-body
simulations, we construct a simple extension of the formula by Ma (1998) that
closely approximates the nonlinear power spectrum for a range of plausible QCDM
models.Comment: 5 pages with 3 inserted postscript figures, AAS LaTeX v4.0
emulateapj.sty. Astrophysical Journal Letters, in pres
Characterizing the Cluster Lens Population
We present a detailed investigation into which properties of CDM halos make
them effective strong gravitational lenses. Strong lensing cross sections of
878 clusters from an N-body simulation are measured by ray tracing through
13,594 unique projections. We measure concentrations, axis ratios,
orientations, and the amount of substructure of each cluster, and compare the
lensing weighted distribution of each quantity to that of the cluster
population as a whole. The concentrations of lensing clusters are on average
34% larger than the typical cluster in the Universe. Despite this bias, the
anomalously high concentrations (c >14) recently measured by several groups,
appear to be inconsistent with the concentration distribution in our
simulations, which predict < 2% of lensing clusters should have concentrations
this high. No correlation is found between lensing cross section and the amount
of substructure. We introduce several types of simplified dark matter halos,
and use them to isolate which properties of CDM clusters make them effective
lenses. Projections of halo substructure onto small radii and the large scale
mass distribution of clusters do not significantly influence cross sections.
The abundance of giant arcs is primarily determined by the mass distribution
within an average overdensity of ~ 10,000. A multiple lens plane ray tracing
algorithm is used to show that projections of large scale structure increase
the giant arc abundance by a modest amount <7%. We revisit the question of
whether there is an excess of giant arcs behind high redshift clusters in the
RCS survey and find that the number of high redshift (z > 0.6) lenses is in
good agreement with LCDM, although our simulations predict more low redshift (z
< 0.6) lenses than were observed. (abridged)Comment: 19 pages, 15 figures. Submitted to Ap
Noise in strong lensing cosmography
Giant arcs in strong lensing galaxy clusters can provide a purely geometric
determination of cosmological parameters, such as the dark energy density and
equation of state. We investigate sources of noise in cosmography with giant
arcs, focusing in particular on errors induced by density fluctuations along
the line-of-sight, and errors caused by modeling uncertainties. We estimate
parameter errors in two independent ways, first by developing a Fisher matrix
formalism for strong lensing parameters, and next by directly ray-tracing
through N-body simulations using a multi-plane lensing code. We show that for
reasonable power spectra, density fluctuations from large-scale structure
produce > 100% errors in cosmological parameters derived from any single
sightline, precluding the use of individual clusters or golden lenses to derive
accurate cosmological constraints. Modeling uncertainties similarly can lead to
large errors, and we show that the use of parametrized mass models in fitting
strong lensing clusters can significantly bias the inferred cosmological
parameters. We lastly speculate on means by which these errors may be
corrected.Comment: 7 pages, submitted to Ap
Cluster Ellipticities as a Cosmological Probe
We investigate the dependence of ellipticities of clusters of galaxies on
cosmological parameters using large-scale cosmological simulations. We
determine cluster ellipticities out to redshift unity for LCDM models with
different mean densities and amplitudes of mass fluctuation
. The mean ellipticity increases monotonically with redshift for
all models. Larger values of , i.e., earlier cluster formation
time, produce lower ellipticities. The dependence of ellipticity on
is relatively weak in the range for high mass
clusters. The mean ellipticity decreases linearly with the
amplitude of fluctuations at the cluster redshift , nearly independent of
; on average, older clusters are more relaxed and are thus less
elliptical. The distribution of ellipticities about the mean is approximated by
a Gaussian, allowing a simple characterization of the evolution of ellipticity
with redshift as a function of cosmological parameters. At , the mean
ellipticity of high mass clusters is approximated by . This relation opens up the
possibility that, when compared with future observations of large cluster
samples, the mean cluster ellipticity and its evolution could be used as a new,
independent tool to constrain cosmological parameters, especially the amplitude
of mass fluctuations, .Comment: 16 pages, 4 figure
Historical Overview of the Human Population-Genetic Studies in Bosnia and Herzegovina: Small Country, Great Diversity
Modern Bosnia and Herzegovina is a multinational and multi-religious country, situated in the western part of the Balkan Peninsula in South-eastern Europe. According to recent archaeological findings, Bosnia and Herzegovina has been occupied by modern humans since the Palaeolithic period. The structure of Bosnia-Herzegovina’s human populations is very complex and specific, due to which it is interesting for various population-genetic surveys. The population of Bosnia and Herzegovina has been the focus of bio-anthropological and population genetics studies since the 19th century. The first known bio-anthropological analyses of Bosnia-Herzegovina population were primarily based on the observation of some phenotypic traits. Later examinations included cytogenetic and DNA based molecular markers. The results of all studies which have been done up to date showed no accented genetic difference among the populations (based on geographical regions) with quite high diversity within them. Human population of Bosnia and Herzegovina is closely related to other populations in the Balkans. However, there are still many interesting features hidden within the existing diversity of local human populations that are still waiting to be discovered and described
Evolution of the Cluster Mass and Correlation Functions in LCDM Cosmology
The evolution of the cluster mass function and the cluster correlation
function from z = 0 to z = 3 are determined using 10^6 clusters obtained from
high-resolution simulations of the current best-fit LCDM cosmology (\Omega_m =
0.27, \sigma_8 = 0.84, h = 0.7). The results provide predictions for
comparisons with future observations of high redshift clusters. A comparison of
the predicted mass function of low redshift clusters with observations from
early Sloan Digital Sky Survey data, and the predicted abundance of massive
distant clusters with observational results, favor a slightly larger amplitude
of mass fluctuations (\sigma_8 = 0.9) and lower density parameter (\Omega_m =
0.2); these values are consistent within 1-\sigma with the current
observational and model uncertainties. The cluster correlation function
strength increases with redshift for a given mass limit; the clusters were more
strongly correlated in the past, due to their increasing bias with redshift -
the bias reaches b = 100 at z = 2 for M > 5 x 10^13 h^-1 M_sun. The
richness-dependent cluster correlation function, represented by the correlation
scale versus cluster mean separation relation, R0-d, is generally consistent
with observations. This relation can be approximated as R_0 = 1.7 d^0.6 h^-1
Mpc for d = 20 - 60 h^-1 Mpc. The R0-d relation exhibits surprisingly little
evolution with redshift for z < 2; this can provide a new test of the current
LCDM model when compared with future observations of high redshift clusters.Comment: 20 pages, 9 figures, accepted for publication in Ap
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