1,565 research outputs found
A case study of quark-gluon discrimination at NNLL' in comparison to parton showers
Predictions for our ability to distinguish quark and gluon jets vary by more
than a factor of two between different parton showers. We study this problem
using analytic resummed predictions for the thrust event shape up to NNLL'
using and as proxies for
quark and gluon jets. We account for hadronization effects through a
nonperturbative shape function, and include an estimate of both perturbative
and hadronization uncertainties. In contrast to previous studies, we find
reasonable agreement between our results and predictions from both Pythia and
Herwig parton showers. We find that this is due to a noticeable improvement in
the description of gluon jets in the newest Herwig 7.1 compared to previous
versions.Comment: 10 pages, 5 figure
Observational Evidence for an Age Dependence of Halo Bias
We study the dependence of the cross-correlation between galaxies and galaxy
groups on group properties. Confirming previous results, we find that the
correlation strength is stronger for more massive groups, in good agreement
with the expected mass dependence of halo bias. We also find, however, that for
groups of the same mass, the correlation strength depends on the star formation
rate (SFR) of the central galaxy: at fixed mass, the bias of galaxy groups
decreases as the SFR of the central galaxy increases. We discuss these findings
in light of the recent findings by Gao et al (2005) that halo bias depends on
halo formation time, in that halos that assemble earlier are more strongly
biased. We also discuss the implication for galaxy formation, and address a
possible link to galaxy conformity, the observed correlation between the
properties of satellite galaxies and those of their central galaxy.Comment: 4 pages, 4 figures, Accepted for publication in ApJ Letters. Figures
3 and 4 replaced. The bias dependence on the central galaxy luminosity is
omitted due to its sensitivity to the mass mode
Reconstructing the Initial Density Field of the Local Universe: Method and Test with Mock Catalogs
Our research objective in this paper is to reconstruct an initial linear
density field, which follows the multivariate Gaussian distribution with
variances given by the linear power spectrum of the current CDM model and
evolves through gravitational instability to the present-day density field in
the local Universe. For this purpose, we develop a Hamiltonian Markov Chain
Monte Carlo method to obtain the linear density field from a posterior
probability function that consists of two components: a prior of a Gaussian
density field with a given linear spectrum, and a likelihood term that is given
by the current density field. The present-day density field can be
reconstructed from galaxy groups using the method developed in Wang et al.
(2009a). Using a realistic mock SDSS DR7, obtained by populating dark matter
haloes in the Millennium simulation with galaxies, we show that our method can
effectively and accurately recover both the amplitudes and phases of the
initial, linear density field. To examine the accuracy of our method, we use
-body simulations to evolve these reconstructed initial conditions to the
present day. The resimulated density field thus obtained accurately matches the
original density field of the Millennium simulation in the density range 0.3 <=
rho/rho_mean <= 20 without any significant bias. Especially, the Fourier phases
of the resimulated density fields are tightly correlated with those of the
original simulation down to a scale corresponding to a wavenumber of ~ 1 h/Mpc,
much smaller than the translinear scale, which corresponds to a wavenumber of ~
0.15 h\Mpc.Comment: 43 pages, 15 figures, accepted for publication in Ap
The statistical nature of the brightest group galaxies
We examine the statistical properties of the brightest group galaxies (BGGs)
using a complete spectroscopic sample of groups/clusters of galaxies selected
from the Data Release 7 of the Sloan Digital Sky Survey. We test whether BGGs
and other bright members of groups are consistent with an ordered population
among the total population of group galaxies. We find that the luminosity
distributions of BGGs do not follow the predictions from the order statistics
(OS). The average luminosities of BGGs are systematically brighter than OS
predictions. On the other hand, by properly taking into account the brightening
effect of the BGGs, the luminosity distributions of the second brightest
galaxies are in excellent agreement with the expectations of OS. The
brightening of BGGs relative to the OS expectation is consistent with a
scenario that the BGGs on average have over-grown about 20 percent masses
relative to the other member galaxies. The growth () is not
stochastic but correlated with the magnitude gap () between the
brightest and the second brightest galaxy. The growth () is larger
for the groups having more prominent BGGs (larger ) and averagely
contributes about 30 percent of the final of the groups of galaxies.Comment: ApJ accepted, replaced with the accepted versio
Properties of Galaxy Groups in the SDSS: I.-- The Dependence of Colour, Star Formation, and Morphology on Halo Mass
Using a large galaxy group catalogue constructed from the SDSS, we
investigate the correlation between various galaxy properties and halo mass. We
split the population of galaxies in early types, late types, and intermediate
types, based on their colour and specific star formation rate. At fixed
luminosity, the early type fraction increases with increasing halo mass. Most
importantly, this mass dependence is smooth and persists over the entire mass
range probed, without any break or feature at any mass scale. We argue that the
previous claim of a characteristic feature on galaxy group scales is an
artefact of the environment estimators used. At fixed halo mass, the luminosity
dependence of the type fractions is surprisingly weak: galaxy type depends more
strongly on halo mass than on luminosity. We also find that the early type
fraction decreases with increasing halo-centric radius. Contrary to previous
studies, we find that this radial dependence is also present in low mass
haloes. The properties of satellite galaxies are strongly correlated with those
of their central galaxy. In particular, the early type fraction of satellites
is significantly higher in a halo with an early type central galaxy than in a
halo of the same mass but with a late type central galaxy. This phenomenon,
which we call `galactic conformity', is present in haloes of all masses and for
satellites of all luminosities. Finally, the fraction of intermediate type
galaxies is always ~20 percent, independent of luminosity, independent of halo
mass, independent of halo-centric radius, and independent of whether the galaxy
is a central galaxy or a satellite galaxy. We discuss the implications of all
these findings for galaxy formation and evolution.Comment: 28 pages, 15 figures. Submitted for publication in MNRA
Large-scale automatic species identification
The crowd-sourced Naturewatch GBIF dataset is used to obtain a species classification dataset containing approximately 1.2 million photos of nearly 20 thousand different species of biological organisms observed in their natural habitat. We present a general hierarchical species identification system based on deep convolutional neural networks trained on the NatureWatch dataset. The dataset contains images taken under a wide variety of conditions and is heavily imbalanced, with most species associated with only few images. We apply multi-view classification as a way to lend more influence to high frequency details, hierarchical fine-tuning to help with class imbalance and provide regularisation, and automatic specificity control for optimising classification depth. Our system achieves 55.8% accuracy when identifying individual species and around 90% accuracy at an average taxonomy depth of 5.1âequivalent to the taxonomic rank of âfamilyââwhen applying automatic specificity control
The cross-correlation between galaxies of different luminosities and Colors
We study the cross-correlation between galaxies of different luminosities and
colors, using a sample selected from the SDSS Dr 4. Galaxies are divided into 6
samples according to luminosity, and each of these samples is divided into red
and blue subsamples. Projected auto-correlation and cross-correlation is
estimated for these subsample. At projected separations r_p > 1\mpch, all
correlation functions are roughly parallel, although the correlation amplitude
depends systematically on luminosity and color. On r_p < 1\mpch, the auto- and
cross-correlation functions of red galaxies are significantly enhanced relative
to the corresponding power laws obtained on larger scales. Such enhancement is
absent for blue galaxies and in the cross-correlation between red and blue
galaxies. We esimate the relative bias factor on scales r > 1\mpch for each
subsample using its auto-correlation function and cross-correlation functions.
The relative bias factors obtained from different methods are similar. For blue
galaxies the luminosity-dependence of the relative bias is strong over the
luminosity range probed (-23.0<M_r < -18.0),but for red galaxies the dependence
is weaker and becomes insignificant for luminosities below L^*. To examine
whether a significant stochastic/nonlinear component exists in the bias
relation, we study the ratio R_ij= W_{ii}W_{jj}/W_{ij}^2, where W_{ij} is the
projected correlation between subsample i and j. We find that the values of
R_ij are all consistent with 1 for all-all, red-red and blue-blue samples,
however significantly larger than 1 for red-blue samples. For faint red - faint
blue samples the values of R_{ij} are as high as ~ 2 on small scales r_p < 1
\mpch and decrease with increasing r_p.Comment: 25 pages, 18 figures, Accepted for publication in Ap
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