271 research outputs found
Quantum-mechanical description of in-medium fragmentation
We present a quantum-mechanical description of quark-hadron fragmentation in
a nuclear environment. It employs the path-integral formulation of quantum
mechanics, which takes care of all phases and interferences, and which contains
all relevant time scales, like production, coherence, formation, etc. The cross
section includes the probability of pre-hadron (colorless dipole) production
both inside and outside the medium. Moreover, it also includes inside-outside
production, which is a typical quantum-mechanical interference effect (like
twin-slit electron propagation). We observe a substantial suppression caused by
the medium, even if the pre-hadron is produced outside the medium and no energy
loss is involved. This important source of suppression is missed in the usual
energy-loss scenario interpreting the effect of jet quenching observed in heavy
ion collisions. This may be one of the reasons of a too large gluon density,
reported by such analyzes.Comment: 20 pages, 7 figure
Spectral calibration requirements of radio interferometers for epoch of reionisation science with the SKA
Spectral features introduced by instrumental chromaticity of radio interferometers have the potential to negatively impact the ability to perform Epoch of Reionisation and Cosmic Dawn (EoR/CD) science. We describe instrument calibration choices that influence the spectral characteristics of the science data, and assess their impact on EoR/CD statistical and tomographic experiments. Principally, we consider the intrinsic spectral response of the antennas, embedded within a complete frequency-dependent primary beam response, and instrument sampling. The analysis is applied to the proposed SKA1-Low EoR/CD experiments. We provide tolerances on the smoothness of the SKA station primary beam bandpass, to meet the scientific goals of statistical and tomographic (imaging) of EoR/CD programs. Two calibration strategies are tested: (1) fitting of each fine channel independently, and (2) fitting of an nth-order polynomial for each ~ 1 MHz coarse channel with (n+1)th-order residuals (n = 2, 3, 4). Strategy (1) leads to uncorrelated power in the 2D power spectrum proportional to the thermal noise power, thereby reducing the overall sensitivity. Strategy (2) leads to correlated residuals from the fitting, and residual signal power with (n+1)th-order curvature. For the residual power to be less than the thermal noise, the fractional amplitude of a fourth-order term in the bandpass across a single coarse channel must be <2.5% (50 MHz), <0.5% (150 MHz), <0.8% (200 MHz). The tomographic experiment places constraints on phase residuals in the bandpass. We find that the root-mean-square variability over all stations of the change in phase across any fine channel (4.578 kHz) should not exceed 0.2 degrees
Correlation length of X-ray brightest Abell clusters
We compute the cluster auto-correlation function of an X-ray
flux limited sample of Abell clusters (XBACs, \cite{ebe}). For the total XBACs
sample we find a power-law fit with Mpc
hand consistent with the results of Abell
clusters. We also analyze for subsamples defined by different
X-ray luminosity thresholds where we find a weak tendency of larger values of
with increasing X-ray luminosity although with a low statistical
significance. In the different subsamples analyzed we find Mpc
h and . Our analysis suggests that cluster X-ray
luminosities may be used for a reliable confrontation of cluster spatial
distribution properties in models and observations.Comment: Accepted for publication in Astrophysical Journa
The Las Campanas Distant Cluster Survey -- The Correlation Function
We present the first non-local (z>0.2) measurement of the cluster-cluster
spatial correlation length, using data from the Las Campanas Distant Cluster
Survey (LCDCS). We measure the angular correlation function for
velocity-dispersion limited subsamples of the catalog at estimated redshifts of
0.35<z_{est}<0.575, and derive spatial correlation lengths for these clusters
via the cosmological Limber equation. The correlation lengths that we measure
for clusters in the LCDCS are consistent both with local results for the APM
cluster catalog and with theoretical expectations based upon the Virgo
Consortium Hubble Volume simulations and the analytic predictions. Despite
samples containing over 100 clusters, our ability to discriminate between
cosmological models is limited because of statistical uncertainty.Comment: 7 pages, 4 figures, accepted to ApJ (v571, May 20, 2002
Mass Models and Sunyaev-Zeldovich Effect Predictions for a Flux Limited Sample of 22 Nearby X-Ray Clusters
We define a 90% complete, volume-limited sample of 31 z<0.1 x-ray clusters
and present a systematic analysis of public ROSAT PSPC data on 22 of these
objects. Our efforts are undertaken in support of the Penn/OVRO SZE survey, and
to this end we present predictions for the inverse Compton optical depth
towards all 22 of these clusters. We have performed detailed Monte Carlo
simulations to understand the effects of the cluster profile uncertainties on
the SZE predictions given the OVRO 5.5-meter telescope beam and switching
patterns; we find that the profile uncertainties are one of the least
significant components of our error budget for SZE-based distance measurements.
We also present baryonic masses and baryon mass fractions derived under the
assumption of hydrostatic equilibrium for these 22 clusters. The mean baryonic
mass fraction within R_500 \sim 500 h^-1 kpc is (7.02 \pm 0.28) x 10^-2 h^-3/2,
or (19.8 \pm 0.8) x 10^-2 for h=0.5. We confirm the Allen et al. (1993) claim
of an excess absorbing column density towards Abell 478, but do not find
similar anomalies in the other 21 clusters in our sample. We also find some
evidence for an excess of soft counts in the ROSAT PSPC data.
A measurement of H_o using these models and OVRO SZE determinations will be
presented in a second paper.Comment: 51 pages, 6 figures included in text. Added comparison of different
cosmologies; accepted for publication in Ap
Clustering dynamics of Lagrangian tracers in free-surface flows
We study the formation of clusters of passive Lagrangian tracers in a
non-smooth turbulent flow in a flat free-slip surface as a model for particle
dynamics on free surfaces. Single particle and pair dispersion show different
behavior for short and large times: on short times particles cluster
exponentially rapidly until patches of the size of the divergence correlation
length are depleted; on larger times the pair dispersion is dominated by almost
ballistic hopping between clusters. We also find that the distribution of
particle density is close to algebraic and can trace this back to the
exponential distribution of the divergence field of the surface flow.Comment: 5 pages, 5 Postscript figure
The WARPS Survey: VI. Galaxy Cluster and Source Identifications from Phase I
We present in catalog form the optical identifications for objects from the
first phase of the Wide Angle ROSAT Pointed Survey (WARPS). WARPS is a
serendipitous survey of relatively deep, pointed ROSAT observations for
clusters of galaxies. The X-ray source detection algorithm used by WARPS is
Voronoi Tessellation and Percolation (VTP), a technique which is equally
sensitive to point sources and extended sources of low surface brightness.
WARPS-I is based on the central regions of 86 ROSAT PSPC fields, covering an
area of 16.2 square degrees. We describe here the X-ray source screening and
optical identification process for WARPS-I, which yielded 34 clusters at
0.06<z<0.75. Twenty-two of these clusters form a complete, statistically well
defined sample drawn from 75 of these 86 fields, covering an area of 14.1
square degrees, with a flux limit of F (0.5-2.0 keV) = 6.5 \times 10^{-14} erg
cm^{-2} s^{-1}}. This sample can be used to study the properties and evolution
of the gas, galaxy and dark matter content of clusters, and to constrain
cosmological parameters. We compare in detail the identification process and
findings of WARPS to those from other recently published X-ray surveys for
clusters, including RDCS, SHARC-Bright, SHARC-south and the CfA 160 deg
survey.Comment: v3 reflects minor updates to tables 2 and
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