251,526 research outputs found
A Comparison of Methods for Determining the Molecular Content of Model Galaxies
Recent observations indicate that star formation occurs only in the molecular
phase of a galaxy's interstellar medium. A realistic treatment of star
formation in simulations and analytic models of galaxies therefore requires
that one determine where the transition from the atomic to molecular gas
occurs. In this paper we compare two methods for making this determination in
cosmological simulations where the internal structures of molecular clouds are
unresolved: a complex time-dependent chemistry network coupled to a radiative
transfer calculation of the dissociating ultraviolet (UV) radiation field, and
a simple time-independent analytic approximation. We show that these two
methods produce excellent agreement at all metallicities >~10^-2 of the Milky
Way value across a very wide range of UV fields. At lower metallicities the
agreement is worse, likely because time-dependent effects become important;
however, there are no observational calibrations of molecular gas content at
such low metallicities, so it is unclear if either method is accurate. The
comparison suggests that, in many but not all applications, the analytic
approximation provides a viable and nearly cost-free alternative to full
time-dependent chemistry and radiative transfer.Comment: 8 pages, 7 figures, accepted to ApJ, emulateapj format. This version
contains typo corrections and changes to figure presentation, but is
otherwise the same as the previous versio
Chebyshev interpolation for functions with endpoint singularities via exponential and double-exponential transforms
We present five theorems concerning the asymptotic convergence rates of Chebyshev interpolation applied to functions transplanted to either a semi-infinite or an infinite interval under exponential or double-exponential transformations. This strategy is useful for approximating and computing with functions that are analytic apart from endpoint singularities. The use of Chebyshev polynomials instead of the more commonly used cardinal sinc or Fourier interpolants is important because it enables one to apply maps to semi-infinite intervals for functions which have only a single endpoint singularity. In such cases, this leads to significantly improved convergence rates
The Absolute Magnitude of RRc Variables From Statistical Parallax
We present the first definitive measurement of the absolute magnitude of RR
Lyrae c-type variable stars (RRc) determined purely from statistical parallax.
We use a sample of 247 RRc selected from the All Sky Automated Survey (ASAS)
for which high-quality light curves, photometry and proper motions are
available. We obtain high-resolution echelle spectra for these objects to
determine radial velocities and abundances as part of the Carnegie RR Lyrae
Survey (CARRS). We find that M_(V,RRc) = 0.52 +/- 0.11 at a mean metallicity of
[Fe/H] = -1.59. This is to be compared with previous estimates for RRab stars
(M_(V,RRab) = 0.75 +/- 0.13 and the only direct measurement of an RRc absolute
magnitude (RZ Cephei, M_(V, RRc) = 0.27 +/- 0.17). We find the bulk velocity of
the halo to be (W_pi, W_theta, W_z) = (10.9,34.9,7.2) km/s in the radial,
rotational and vertical directions with dispersions (sigma_(W_pi),
sigma_(W_theta), sigma_(W_z)) = (154.7, 103.6, 93.8) km/s. For the disk, we
find (W_pi, W_theta, W_z) = (8.5, 213.2, -22.1) km/s with dispersions
(sigma_(W_pi), sigma_(W_theta), sigma_(W_z)) = (63.5, 49.6, 51.3) km/s.
Finally, we suggest that UCAC2 proper motion errors may be overestimated by
about 25%Comment: Submitted to ApJ. 11 pages including 6 figure
Modelling the redshift-space distortion of galaxy clustering
We use a set of large, high-resolution cosmological N-body simulations to
examine the redshift-space distortions of galaxy clustering on scales of order
10-200h^{-1} Mpc. Galaxy redshift surveys currently in progress will, on
completion, allow us to measure the quadrupole distortion in the 2-point
correlation function, \xi(\sigma,\pi), or its Fourier transform, the power
spectrum, P(k,\mu), to a high degree of accuracy. On these scales we typically
find a positive quadrupole, as expected for coherent infall onto overdense
regions and outflow from underdense regions, but the distortion is
substantially weaker than that predicted by pure linear theory. We assess two
models that may be regarded as refinements to linear theory, the Zel'dovich
approximation and a dispersion model in which the non-linear velocities
generated by the formation of virialized groups and clusters are treated as
random perturbations to the velocities predicted by linear theory. We find that
neither provides an adequate physical description of the clustering pattern. If
used to model redshift spacedistortions on scales for 10<\lambda <200 h^{-1}Mpc
the estimated value of \beta (\beta=f(\Omega_0)/b where f(\Omega_0) ~
\Omega_0^{0.6} and b is the galaxy bias parameter) is liable to systematic
errors of order ten per cent or more. We discuss how such systematics can be
avoided by i) development of a more complete model of redshift distortions and
ii) the direct use of galaxy catalogues generated from non-linear N-body
simulations.Comment: 13 pages, Latex, uses mn.sty and mnextra.sty (mnextra.sty included
here
An Algorithm for Precise Aperture Photometry of Critically Sampled Images
We present an algorithm for performing precise aperture photometry on
critically sampled astrophysical images. The method is intended to overcome the
small-aperture limitations imposed by point-sampling. Aperture fluxes are
numerically integrated over the desired aperture, with sinc-interpolation used
to reconstruct values between pixel centers. Direct integration over the
aperture is computationally intensive, but the integrals in question are shown
to be convolution integrals and can be computed ~10000x faster as products in
the wave-number domain. The method works equally well for annular and
elliptical apertures and could be adapted for any geometry. A sample of code is
provided to demonstrate the method.Comment: Accepted MNRA
Azurite: An algebraic geometry based package for finding bases of loop integrals
For any given Feynman graph, the set of integrals with all possible powers of
the propagators spans a vector space of finite dimension. We introduce the
package {\sc Azurite} ({\bf A ZUR}ich-bred method for finding master {\bf
I}n{\bf TE}grals), which efficiently finds a basis of this vector space. It
constructs the needed integration-by-parts (IBP) identities on a set of
generalized-unitarity cuts. It is based on syzygy computations and analyses of
the symmetries of the involved Feynman diagrams and is powered by the computer
algebra systems {\sc Singular} and {\sc Mathematica}. It can moreover
analytically calculate the part of the IBP identities that is supported on the
cuts.Comment: Version 1.1.0 of the package Azurite, with parallel computations. It
can be downloaded from
https://bitbucket.org/yzhphy/azurite/raw/master/release/Azurite_1.1.0.tar.g
Objective Classification of Galaxy Spectra using the Information Bottleneck Method
A new method for classification of galaxy spectra is presented, based on a
recently introduced information theoretical principle, the `Information
Bottleneck'. For any desired number of classes, galaxies are classified such
that the information content about the spectra is maximally preserved. The
result is classes of galaxies with similar spectra, where the similarity is
determined via a measure of information. We apply our method to approximately
6000 galaxy spectra from the ongoing 2dF redshift survey, and a mock-2dF
catalogue produced by a Cold Dark Matter-based semi-analytic model of galaxy
formation. We find a good match between the mean spectra of the classes found
in the data and in the models. For the mock catalogue, we find that the classes
produced by our algorithm form an intuitively sensible sequence in terms of
physical properties such as colour, star formation activity, morphology, and
internal velocity dispersion. We also show the correlation of the classes with
the projections resulting from a Principal Component Analysis.Comment: submitted to MNRAS, 17 pages, Latex, with 14 figures embedde
Suspect screening of maternal serum to identify new environmental chemical biomonitoring targets using liquid chromatography-quadrupole time-of-flight mass spectrometry.
The use and advantages of high-resolution mass spectrometry (MS) as a discovery tool for environmental chemical monitoring has been demonstrated for environmental samples but not for biological samples. We developed a method using liquid chromatography-quadrupole time-of-flight MS (LC-QTOF/MS) for discovery of previously unmeasured environmental chemicals in human serum. Using non-targeted data acquisition (full scan MS analysis) we were able to screen for environmental organic acids (EOAs) in 20 serum samples from second trimester pregnant women. We define EOAs as environmental organic compounds with at least one dissociable proton which are utilized in commerce. EOAs include environmental phenols, phthalate metabolites, perfluorinated compounds, phenolic metabolites of polybrominated diphenyl ethers and polychlorinated biphenyls, and acidic pesticides and/or predicted acidic pesticide metabolites. Our validated method used solid phase extraction, reversed-phase chromatography in a C18 column with gradient elution, electrospray ionization in negative polarity and automated tandem MS (MS/MS) data acquisition to maximize true positive rates. We identified "suspect EOAs" using Agilent MassHunter Qualitative Analysis software, to match chemical formulas generated from each sample run with molecular formulas in our unique database of 693 EOAs assembled from multiple environmental literature sources. We found potential matches for 282 (41%) of the EOAs in our database. Sixty-five of these suspect EOAs were detected in at least 75% of the samples; only 19 of these compounds are currently biomonitored in National Health and Nutrition Examination Survey. We confirmed two of three suspect EOAs by LC-QTOF/MS using a targeted method developed through LC-MS/MS, reporting the first confirmation of benzophenone-1 and bisphenol S in pregnant women's sera. Our suspect screening workflow provides an approach to comprehensively scan environmental chemical exposures in humans. This can provide a better source of exposure information to help improve exposure and risk evaluation of industrial chemicals
The zCOSMOS Survey. The dependence of clustering on luminosity and stellar mass at z=0.2-1
We study the dependence of galaxy clustering on luminosity and stellar mass
at redshifts z ~ [0.2-1] using the first zCOSMOS 10K sample.
We measure the redshift-space correlation functions xi(rp,pi) and its
projection wp(rp) for sub-samples covering different luminosity, mass and
redshift ranges. We quantify in detail the observational selection biases and
we check our covariance and error estimate techniques using ensembles of
semi-analytic mock catalogues. We finally compare our measurements to the
cosmological model predictions from the mock surveys.
At odds with other measurements, we find a weak dependence of galaxy
clustering on luminosity in all redshift bins explored. A mild dependence on
stellar mass is instead observed. At z~0.7, wp(rp) shows strong excess power on
large scales. We interpret this as produced by large-scale structure dominating
the survey volume and extending preferentially in direction perpendicular to
the line-of-sight. We do not see any significant evolution with redshift of the
amplitude of clustering for bright and/or massive galaxies.
The clustering measured in the zCOSMOS data at 0.5<z<1 for galaxies with
log(M/M_\odot)>=10 is only marginally consistent with predictions from the mock
surveys. On scales larger than ~2 h^-1 Mpc, the observed clustering amplitude
is compatible only with ~1% of the mocks. Thus, if the power spectrum of matter
is LCDM with standard normalization and the bias has no unnatural
scale-dependence, this result indicates that COSMOS has picked up a
particularly rare, ~2-3 sigma positive fluctuation in a volume of ~10^6 h^-1
Mpc^3. These findings underline the need for larger surveys of the z~1 Universe
to appropriately characterize the level of structure at this epoch.Comment: 18 pages, 21 figures, accepted for publication in Astronomy and
Astrophysic
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