9,821 research outputs found
Nonequilibrium evolution and symmetry structure of the large-N model at finite temperature
We consider the large-N theory with spontaneously broken symmetry at
finite temperature. We study, in the large-N limit, quantum states which are
characterized by a time dependent, spatially homogenous expectation value of
one of the field components, , and by quantum fluctuations of the
other components, that evolve in the background of the classical field.
Investigating such systems out of equilibrium has recently been shown to
display several interesting features. We extend here this type of
investigations to finite temperature systems. Essentially the novel features
observed at T=0 carry over to finite temperature. This is not unexpected, as
the main mechanisms that determine the late-time behavior remain the same. We
extend two empirical - presumably exact - relations for the late-time behavior
to finite temperature and use them to define the boundaries between the region
of different asymptotic regimes. This results in a phase diagram with the
temperature and the initial value of the classical field as parameters, the
phases being characterized by spontaneous symmetry breaking resp. symmetry
restoration. The time evolution is computed numerically and agrees very well
with the expectations.Comment: 21 pages, 13 Figures, LaTeX, some typos correcte
Mass Function Predictions Beyond LCDM
The mass distribution of halos, as specified by the halo mass function, is a
key input for several cosmological probes. The sizes of -body simulations
are now such that, for the most part, results need no longer be
statistics-limited, but are still subject to various systematic uncertainties.
We investigate and discuss some of the reasons for these differences.
Quantifying error sources and compensating for them as appropriate, we carry
out a high-statistics study of dark matter halos from 67 -body simulations
to investigate the mass function and its evolution for a reference CDM
cosmology and for a set of CDM cosmologies. For the reference CDM
cosmology (close to WMAP5), we quantify the breaking of universality in the
form of the mass function as a function of redshift, finding an evolution of as
much as 10% away from the universal form between redshifts and . For
cosmologies very close to this reference we provide a fitting formula to our
results for the (evolving) CDM mass function over a mass range of
M to an estimated accuracy of about
2%. The set of CDM cosmologies is taken from the Coyote Universe simulation
suite. The mass functions from this suite (which includes a CDM
cosmology and others with ) are described by the fitting formula for
the reference CDM case at an accuracy level of 10%, but with clear
systematic deviations. We argue that, as a consequence, fitting formulae based
on a universal form for the mass function may have limited utility in high
precision cosmological applications.Comment: 19 pages; 18 figures; accepted for publication in the Ap
The Coyote Universe I: Precision Determination of the Nonlinear Matter Power Spectrum
Near-future cosmological observations targeted at investigations of dark
energy pose stringent requirements on the accuracy of theoretical predictions
for the clustering of matter. Currently, N-body simulations comprise the only
viable approach to this problem. In this paper we demonstrate that N-body
simulations can indeed be sufficiently controlled to fulfill these requirements
for the needs of ongoing and near-future weak lensing surveys. By performing a
large suite of cosmological simulation comparison and convergence tests we show
that results for the nonlinear matter power spectrum can be obtained at 1%
accuracy out to k~1 h/Mpc. The key components of these high accuracy
simulations are: precise initial conditions, very large simulation volumes,
sufficient mass resolution, and accurate time stepping. This paper is the first
in a series of three, with the final aim to provide a high-accuracy prediction
scheme for the nonlinear matter power spectrum.Comment: 18 pages, 22 figures, minor changes to address referee repor
Analyzing and Visualizing Cosmological Simulations with ParaView
The advent of large cosmological sky surveys - ushering in the era of
precision cosmology - has been accompanied by ever larger cosmological
simulations. The analysis of these simulations, which currently encompass tens
of billions of particles and up to trillion particles in the near future, is
often as daunting as carrying out the simulations in the first place.
Therefore, the development of very efficient analysis tools combining
qualitative and quantitative capabilities is a matter of some urgency. In this
paper we introduce new analysis features implemented within ParaView, a
parallel, open-source visualization toolkit, to analyze large N-body
simulations. The new features include particle readers and a very efficient
halo finder which identifies friends-of-friends halos and determines common
halo properties. In combination with many other functionalities already
existing within ParaView, such as histogram routines or interfaces to Python,
this enhanced version enables fast, interactive, and convenient analyses of
large cosmological simulations. In addition, development paths are available
for future extensions.Comment: 9 pages, 8 figure
Removable Matter-Power-Spectrum Covariance from Bias Fluctuations
We find a simple, accurate model for the covariance matrix of the real-space
cosmological matter power spectrum on slightly nonlinear scales (k~0.1-0.8
h/Mpc at z=0), where off-diagonal matrix elements become substantial. The model
includes a multiplicative, scale-independent modulation of the power spectrum.
It has only one parameter, the variance (among realizations) of the variance of
the nonlinear density field in cells, with little dependence on the cell size
between 2-8 Mpc/h. Furthermore, we find that this extra covariance can be
modeled out by instead measuring the power spectrum of (delta/sigma_cell), i.e.
the ratio of the overdensity to its dispersion in cells a few Mpc in size.
Dividing delta by sigma_cell essentially removes the non-Gaussian part of the
covariance matrix, nearly diagonalizing it.Comment: Accepted to ApJ. 5 pages, 5 figures; slight clarifications to match
accepted versio
Dark Matter Halo Profiles of Massive Clusters: Theory vs. Observations
Dark matter-dominated cluster-scale halos act as an important cosmological
probe and provide a key testing ground for structure formation theory. Focusing
on their mass profiles, we have carried out (gravity-only) simulations of the
concordance LCDM cosmology, covering a mass range of 2.10^{12}-2.10^{15} solar
mass/h and a redshift range of z=0-2, while satisfying the associated
requirements of resolution and statistical control. When fitting to the
Navarro-Frenk-White profile, our concentration-mass (c-M) relation differs in
normalization and shape in comparison to previous studies that have limited
statistics in the upper end of the mass range. We show that the flattening of
the c-M relation with redshift is naturally expressed if c is viewed as a
function of the peak height parameter, \nu. Unlike the c-M relation, the slope
of the c-\nu relation is effectively constant over the redshift range z=0-2,
while the amplitude varies by ~30% for massive clusters. This relation is,
however, not universal: Using a simulation suite covering the allowed wCDM
parameter space, we show that the c-\nu relation varies by about +/- 20% as
cosmological parameters are varied. At fixed mass, the c(M) distribution is
well-fit by a Gaussian with \sigma_c/c = 0.33, independent of the radius at
which the concentration is defined, the halo dynamical state, and the
underlying cosmology. We compare the LCDM predictions with observations of halo
concentrations from strong lensing, weak lensing, galaxy kinematics, and X-ray
data, finding good agreement for massive clusters (M > 4.10^{14} solar mass/h),
but with some disagreements at lower masses. Because of uncertainty in
observational systematics and modeling of baryonic physics, the significance of
these discrepancies remains unclear.Comment: 18 pages; 13 figures, new observational data included, minor
revisions and extended discussions, improved fitting formula, results
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