3,926 research outputs found

### How closely do baryons follow dark matter on large scales?

We investigate the large-scale clustering and gravitational interaction of
baryons and dark matter (DM) over cosmic time using a set of collisionless
N-body simulations. Both components, baryons and DM, are evolved from distinct
primordial density and velocity power spectra as predicted by early-universe
physics. We first demonstrate that such two-component simulations require an
unconventional match between force and mass resolution (i.e. force softening on
at least the mean particle separation scale). Otherwise, the growth on any
scale is not correctly recovered because of a spurious coupling between the two
species at the smallest scales. With these simulations, we then demonstrate how
the primordial differences in the clustering of baryons and DM are
progressively diminished over time. In particular, we explicitly show how the
BAO signature is damped in the spatial distribution of baryons and imprinted in
that of DM. This is a rapid process, yet it is still not fully completed at low
redshifts. On large scales, the overall shape of the correlation function of
baryons and DM differs by 2% at z = 9 and by 0.2% at z = 0. The differences in
the amplitude of the BAO peak are approximately a factor of 5 larger: 10% at z
= 9 and 1% at z = 0. These discrepancies are, however, smaller than effects
expected to be introduced by galaxy formation physics in both the shape of the
power spectrum and in the BAO peak, and are thus unlikely to be detected given
the precision of the next generation of galaxy surveys. Hence, our results
validate the standard practice of modelling the observed galaxy distribution
using predictions for the total mass clustering in the Universe.Comment: 9 pages, 6 figures. Replaced with version published in MNRA

### Adaptive scanning - a proposal how to scan theoretical predictions over a multi-dimensional parameter space efficiently

A method is presented to exploit adaptive integration algorithms using
importance sampling, like VEGAS, for the task of scanning theoretical
predictions depending on a multi-dimensional parameter space. Usually, a
parameter scan is performed with emphasis on certain features of a theoretical
prediction. Adaptive integration algorithms are well-suited to perform this
task very efficiently. Predictions which depend on parameter spaces with many
dimensions call for such an adaptive scanning algorithm.Comment: 8 pages, 4 figure

### Halo assembly bias and the tidal anisotropy of the local halo environment

We study the role of the local tidal environment in determining the assembly
bias of dark matter haloes. Previous results suggest that the anisotropy of a
halo's environment (i.e, whether it lies in a filament or in a more isotropic
region) can play a significant role in determining the eventual mass and age of
the halo. We statistically isolate this effect using correlations between the
large-scale and small-scale environments of simulated haloes at $z=0$ with
masses between $10^{11.6}\lesssim (m/h^{-1}M_{\odot})\lesssim10^{14.9}$. We
probe the large-scale environment using a novel halo-by-halo estimator of
linear bias. For the small-scale environment, we identify a variable $\alpha_R$
that captures the $\textit{tidal anisotropy}$ in a region of radius
$R=4R_{\textrm{200b}}$ around the halo and correlates strongly with halo bias
at fixed mass. Segregating haloes by $\alpha_R$ reveals two distinct
populations. Haloes in highly isotropic local environments
($\alpha_R\lesssim0.2$) behave as expected from the simplest, spherically
averaged analytical models of structure formation, showing a
$\textit{negative}$ correlation between their concentration and large-scale
bias at $\textit{all}$ masses. In contrast, haloes in anisotropic,
filament-like environments ($\alpha_R\gtrsim0.5$) tend to show a
$\textit{positive}$ correlation between bias and concentration at any mass. Our
multi-scale analysis cleanly demonstrates how the overall assembly bias trend
across halo mass emerges as an average over these different halo populations,
and provides valuable insights towards building analytical models that
correctly incorporate assembly bias. We also discuss potential implications for
the nature and detectability of galaxy assembly bias.Comment: 19 pages, 15 figures; v2: revised in response to referee comments,
added references and discussion, conclusions unchanged. Accepted in MNRA

### Properties of Dark Matter Haloes in Clusters, Filaments, Sheets and Voids

Using a series of high-resolution N-body simulations of the concordance
cosmology we investigate how the formation histories, shapes and angular
momenta of dark-matter haloes depend on environment. We first present a
classification scheme that allows to distinguish between haloes in clusters,
filaments, sheets and voids in the large-scale distribution of matter. This
method is based on a local-stability criterion for the orbits of test particles
and closely relates to the Zel'dovich approximation. Applying this scheme to
our simulations we then find that: i) Mass assembly histories and formation
redshifts strongly depend on environment for haloes of mass M<M* (haloes of a
given mass tend to be older in clusters and younger in voids) and are
independent of it for larger masses; ii) Low-mass haloes in clusters are
generally less spherical and more oblate than in other regions; iii) Low-mass
haloes in clusters have a higher median spin than in filaments and present a
more prominent fraction of rapidly spinning objects; we identify recent major
mergers as a likely source of this effect. For all these relations, we provide
accurate functional fits as a function of halo mass and environment. We also
look for correlations between halo-spin directions and the large-scale
structures: the strongest effect is seen in sheets where halo spins tend to lie
within the plane of symmetry of the mass distribution. Finally, we measure the
spatial auto-correlation of spin directions and the cross-correlation between
the directions of intrinsic and orbital angular momenta of neighbouring haloes.
While the first quantity is always very small, we find that spin-orbit
correlations are rather strong especially for low-mass haloes in clusters and
high-mass haloes in filaments.Comment: 13 pages, 13 figures. Version accepted for publication in MNRAS
(references added). Version with high-resolution figures available at
http://www.exp-astro.phys.ethz.ch/hahn/pub/HPCD06.pd

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