12,725 research outputs found
The Accretion and Cooling of Preheated Gas in Dark Matter Halos
(abridged) We use a one-dimensional hydrodynamical code to investigate the
effects of preheating on gas accretion and cooling in cold dark matter halos.
In the absence of radiative cooling, preheating reduces the amount of gas that
can be accreted into a halo, and the accreted gas fraction is determined by the
ratio of the initial specific entropy of the gas to the virial entropy of the
halo. In the presence of radiative cooling, preheating affects the gas fraction
that can cool in two different ways. For small halos with masses <10^12Msun,
preheating suppresses gas accretion, but most of the accreted gas can cool. For
more massive halos, preheating not only reduces the amount of accreted gas, but
also reduces the cooling efficiency. For both small and massive halos, gas
cooling is delayed by preheating and in an inside-out fashion if the halo gas
is assumed to be a single-phase medium. However, cooling can occur over a wider
range of redshifts and radii, if we assume a multi-phase medium. As examples,
two specific preheating cases are investigated. In the first case, the
preheating entropy is assumed to be proportional to the virial entropy of the
halo, as expected from AGN feedback. Such preheating effectively suppresses
radiative cooling in halos with M>10^13Msun. We suggest that this may be the
reason why the stellar mass function of galaxies breaks sharply at the massive
end. Such preheating also helps create the hot diffused halos within which the
"radio mode" feedback of AGNs can act effectively. In the second case, we
assume the intergalactic medium is warm. Here the total amount of gas that can
cool in a halo scales with halo mass as ~M^2, as would be required to match the
observed stellar- and HI-mass functions in the current CDM model at the small
mass end.Comment: 14 pages, 13 figures, submitted to MNRA
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Compositional embedding models build a representation (or embedding) for a
linguistic structure based on its component word embeddings. We propose a
Feature-rich Compositional Embedding Model (FCM) for relation extraction that
is expressive, generalizes to new domains, and is easy-to-implement. The key
idea is to combine both (unlexicalized) hand-crafted features with learned word
embeddings. The model is able to directly tackle the difficulties met by
traditional compositional embeddings models, such as handling arbitrary types
of sentence annotations and utilizing global information for composition. We
test the proposed model on two relation extraction tasks, and demonstrate that
our model outperforms both previous compositional models and traditional
feature rich models on the ACE 2005 relation extraction task, and the SemEval
2010 relation classification task. The combination of our model and a
log-linear classifier with hand-crafted features gives state-of-the-art
results.Comment: 12 pages for EMNLP 201
Galaxy Ecosystems: gas contents, inflows and outflows
We use a set of observational data for galaxy cold gas mass fraction and gas
phase metallicity to constrain the content, inflow and outflow of gas in
central galaxies hosted by halos with masses between to
. The gas contents in high redshift galaxies are obtained by
combining the empirical star formation histories of Lu et al. (2014) and star
formation models that relate star formation rate with the cold gas mass in
galaxies. We find that the total baryon mass in low-mass galaxies is always
much less than the universal baryon mass fraction since , regardless of
star formation model adopted. The data for the evolution of the gas phase
metallicity require net metal outflow at , and the metal loading
factor is constrained to be about , or about of the metal yield.
Based on the assumption that galactic outflow is more enriched in metal than
both the interstellar medium and the material ejected at earlier epochs, we are
able to put stringent constraints on the upper limits for both the net
accretion rate and the net mass outflow rate. The upper limits strongly suggest
that the evolution of the gas phase metallicity and gas mass fraction for
low-mass galaxies at is not compatible with strong outflow. We
speculate that the low star formation efficiency of low-mass galaxies is owing
to some preventative processes that prevent gas from accreting into galaxies in
the first place.Comment: 15 pages, 10 figures, submitted to MNRA
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