321 research outputs found
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
Steps toward the power spectrum of matter. II. The biasing correction with sigma_8 normalization
A new method to determine the bias parameter of galaxies relative to matter
is suggested. The method is based on the assumption that gravity is the
dominating force which determines the formation of the structure in the
Universe. Due to gravitational instability the galaxy formation is a threshold
process: in low-density environments galaxies do not form and matter remains in
primordial form. We investigate the influence of the presence of void and
clustered populations to the power spectrum of matter and galaxies. The power
spectrum of galaxies is similar to the power spectrum of matter; the fraction
of total matter in the clustered population determines the difference between
amplitudes of fluctuations of matter and galaxies, i.e. the bias factor. To
determine the fraction of matter in voids and clustered population we perform
numerical simulations. The fraction of matter in galaxies at the present epoch
is found using a calibration through the sigma_8 parameter.Comment: LaTex (sty files added), 31 pages, 4 PostScript figures embedded,
Astrophysical Journal (accepted
10 GeV dark matter candidates and cosmic-ray antiprotons
Recent measurements performed with some direct dark matter detection
experiments, e.g. CDMS-II and CoGENT (after DAMA/LIBRA), have unveiled a few
events compatible with weakly interacting massive particles. The preferred mass
range is around 10 GeV, with a quite large spin-independent cross section of
-. In this paper, we recall that a light dark
matter particle with dominant couplings to quarks should also generate
cosmic-ray antiprotons. Taking advantage of recent works constraining the
Galactic dark matter mass profile on the one hand and on cosmic-ray propagation
on the other hand, we point out that considering a thermal annihilation cross
section for such low mass candidates very likely results in an antiproton flux
in tension with the current data, which should be taken into account in
subsequent studies.Comment: 4 pages, 2 figures. V2: minor changes to match the published versio
Dipole-interacting Fermionic Dark Matter in positron, antiproton, and gamma-ray channels
Cosmic ray signals from dipole-interacting dark matter annihilation are
considered in the positron, antiproton and photon channels. The predicted
signals in the positron channel could nicely account for the excess of positron
fraction from Fermi LAT, PAMELA, HEAT and AMS-01 experiments for the dark
matter mass larger than 100 GeV with a boost (enhancement) factor of 30-80. No
excess of antiproton over proton ratio at the experiments also gives a severe
restriction for this scenario. With the boost factors, the predicted signals
from Galactic halo and signals as mono-energetic gamma-ray lines (monochromatic
photons) for the region close to the Galactic center are investigated. The
gamma-ray excess of recent tentative analyses based on Fermi LAT data and the
potential probe of the monochromatic lines at a planned experiment, AMS-02, are
also considered.Comment: Version to be published in PRD(2013), Title changed, text modifie
Steps toward the power spectrum of matter. I.The mean spectrum of galaxies
We calculate the mean power spectrum of galaxies using published power
spectra of galaxies and clusters of galaxies. On small scales we use the power
spectrum derived from the 2-dimensional distribution of APM galaxies, on large
scales we use power spectra derived from 3-dimensional data for galaxy and
cluster samples. Spectra are reduced to real space and to the amplitude of the
power spectrum of APM galaxies. Available data indicate the presence of two
different populations in the nearby Universe. Clusters of galaxies sample a
relatively large region in the Universe where rich, medium and poor
superclusters are well represented. Their mean power spectrum has a spike on
scale 120 h^{-1}Mpc, followed by an approximate power-law spectrum of index n =
-1.9 towards small scales. The power spectrum found from LCRS and IRAS 1.2 Jy
surveys is flatter around the maximum, which may represent regions of the
Universe with medium-rich and poor superclusters.Comment: LaTex (sty files added), 35 pages, 5 PostScript figures and Table
with mean power spectrum embedded, Astrophysical Journal (accepted
Exploring star formation using the filaments in the Sloan Digital Sky Survey Data Release Five (SDSS DR5)
We have quantified the average filamentarity of the galaxy distribution in
seven nearly two dimensional strips from the SDSS DR5 using a volume limited
sample in the absolute magnitude range -21 < M_r < -20. The average
filamentarity of star forming (SF) galaxies, which are predominantly blue, is
found to be more than that of other galaxies which are predominantly red. This
difference is possibly an outcome of the fact that blue galaxies have a more
filamentary distribution. Comparing the SF galaxies with only the blue other
galaxies, we find that the two show nearly equal filamentarity. Separately
analyzing the galaxies with high star formation rates (SFR) and low SFR, we
find that the latter has a more filamentary distribution. We interpret this in
terms of two effects (1.) A correlation between the SFR and individual galaxy
properties like luminosity with the high SFR galaxies being more luminous (2.)
A relation between the SFR and environmental effects like the density with the
high SFR galaxies preferentially occurring in high density regions. These two
effects are possibly not independent and are operating simultaneously. We do
not find any difference in the filamentarity of SF galaxies and AGNs.Comment: 6 pages, 3 figures, Final accepted version in MNRAS, in pres
Substructure Boosts to Dark Matter Annihilation from Sommerfeld Enhancement
The recently introduced Sommerfeld enhancement of the dark matter
annihilation cross section has important implications for the detection of dark
matter annihilation in subhalos in the Galactic halo. In addition to the boost
to the dark matter annihilation cross section from the high densities of these
subhalos with respect to the main halo, an additional boost caused by the
Sommerfeld enhancement results from the fact that they are kinematically colder
than the Galactic halo. If we further believe the generic prediction of CDM
that in each subhalo there is an abundance of substructure which is
approximately self-similar to that of the Galactic halo, then I show that
additional boosts coming from the density enhancements of these small
substructures and their small velocity dispersions enhance the dark matter
annihilation cross section even further. I find that very large boost factors
( to ) are obtained in a large class of models. The implications of
these boost factors for the detection of dark matter annihilation from dwarf
Spheroidal galaxies in the Galactic halo are such that, generically, they
outshine the background gamma-ray flux and are detectable by the Fermi
Gamma-ray Space Telescope.Comment: PRD in pres
XMM-Newton discovery of O VII emission from warm gas in clusters of galaxies
XMM-Newton recently discovered O VII line emission from ~2 million K gas near
the outer parts of several clusters of galaxies. This emission is attributed to
the Warm-Hot Intergalactic Medium. The original sample of clusters studied for
this purpose has been extended and two more clusters with a soft X-ray excess
have been found. We discuss the physical properties of the warm gas, in
particular the density, spatial extent, abundances and temperature.Comment: 8 pages, 3 figures, conference "Soft X-ray emission from clusters of
galaxies and related phenomena", ed. R. Lieu, Kluwer, in pres
Does the galaxy correlation length increase with the sample depth?
We have analyzed the behavior of the correlation length, , as a function
of the sample depth by extracting from the CfA2 redshift survey volume--limited
samples out to increasing distances. For a fractal distribution, the value of
would increase with the volume occupied by the sample. We find no linear
increase for the CfA2 samples of the sort that would be expected if the
Universe preserved its small scale fractal character out to the distances
considered (60--100\hmpc). The results instead show a roughly constant value
for as a function of the size of the sample, with small fluctuations due
to local inhomogeneities and luminosity segregation. Thus the fractal picture
can safely be discarded.Comment: Accepted for publication in ApJ
Voids in the Large-Scale Structure
Voids are the most prominent feature of the LSS of the universe. Still, they
have been generally ignored in quantitative analysis of it, essentially due to
the lack of an objective tool to identify and quantify the voids. To overcome
this, we present the Void-Finder algorithm, a novel tool for objectively
quantifying galaxy voids. The algorithm classifies galaxies as either wall- or
field-galaxies. Then it identifies voids in the wall-galaxy distribution. Voids
are defined as continuous volumes that do not contain any wall-galaxies. The
voids must be thicker than an adjustable limit, which is refined in successive
iterations. We test the algorithm using Voronoi tessellations. By appropriate
scaling of the parameters we apply it to the SSRS2 survey and to the IRAS 1.2
Jy. Both surveys show similar properties: ~50% of the volume is filled by the
voids, which have a scale of at least 40 Mpc, and a -0.9 under-density. Faint
galaxies populate the voids more than bright ones. These results suggest that
both optically and IRAS selected galaxies delineate the same LSS. Comparison
with the recovered mass distribution further suggests that the observed voids
in the galaxy distribution correspond well to under-dense regions in the mass
distribution. This confirms the gravitational origin of the voids.Comment: Submitted to ApJ; 33 pages, aaspp4 LaTeX file, using epsfig and
natbib, 1 table, 12 PS figures. Complete gzipped version is available at
http://shemesh.fiz.huji.ac.il/hagai/; uuencoded file is available at
http://shemesh.fiz.huji.ac.il/papers/ep3.uu or ftp://shemesh.fiz.huji.ac.i
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