7,808 research outputs found
Quenching depends on morphologies: implications from the ultraviolet-optical radial color distributions in Green Valley Galaxies
In this Letter, we analyse the radial UV-optical color distributions in a
sample of low redshift green valley (GV) galaxies, with the Galaxy Evolution
Explorer (GALEX)+Sloan Digital Sky Survey (SDSS) images, to investigate how the
residual recent star formation distribute in these galaxies. We find that the
dust-corrected colors of early-type galaxies (ETGs) are flat out to
, while the colors turn blue monotonously when for
late-type galaxies (LTGs). More than a half of the ETGs are blue-cored and have
remarkable positive NUV color gradients, suggesting that their star
formation are centrally concentrated; the rest have flat color distributions
out to . The centrally concentrated star formation activity in a large
portion of ETGs is confirmed by the SDSS spectroscopy, showing that 50 %
ETGs have EW(H) \AA. For the LTGs, 95% of them show uniform
radial color profiles, which can be interpreted as a red bulge plus an extended
blue disk. The links between the two kinds of ETGs, e.g., those objects having
remarkable "blue-cored" and those having flat color gradients, are less known
and require future investigations. It is suggested that the LTGs follow a
general picture that quenching first occur in the core regions, and then
finally extend to the rest of the galaxy. Our results can be re-examined and
have important implications for the IFU surveys, such as MaNGA and SAMI.Comment: ApJ Letter, accepted. Five figure
From outside-in to inside-out: galaxy assembly mode depends on stellar mass
In this Letter, we investigate how galaxy mass assembly mode depends on
stellar mass , using a large sample of 10, 000 low redshift
galaxies. Our galaxy sample is selected to have SDSS R_{90}>5\arcsec.0, which
allows the measures of both the integrated and the central NUV color
indices. We find that: in the NUV) green valley, the
M_{\ast}<10^{10}~M_{\sun} galaxies mostly have positive or flat color
gradients, while most of the M_{\ast}>10^{10.5}~M_{\sun} galaxies have
negative color gradients. When their central index values exceed
1.6, the M_{\ast}<10^{10.0}~M_{\sun} galaxies have moved to the UV red
sequence, whereas a large fraction of the M_{\ast}>10^{10.5}~M_{\sun}
galaxies still lie on the UV blue cloud or the green valley region. We conclude
that the main galaxy assembly mode is transiting from "the outside-in" mode to
"the inside-out" mode at M_{\ast}
10^{10.5}~M_{\sun}. We argue that the physical origin of this is the
compromise between the internal and the external process that driving the star
formation quenching in galaxies. These results can be checked with the upcoming
large data produced by the on-going IFS survey projects, such as CALIFA, MaNGA
and SAMI in the near future.Comment: Accepted for publication in ApJL,6 pages, 5 figure
Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines
In this paper, we address the problem of efficient execution of a computation
pattern, referred to here as the irregular wavefront propagation pattern
(IWPP), on hybrid systems with multiple CPUs and GPUs. The IWPP is common in
several image processing operations. In the IWPP, data elements in the
wavefront propagate waves to their neighboring elements on a grid if a
propagation condition is satisfied. Elements receiving the propagated waves
become part of the wavefront. This pattern results in irregular data accesses
and computations. We develop and evaluate strategies for efficient computation
and propagation of wavefronts using a multi-level queue structure. This queue
structure improves the utilization of fast memories in a GPU and reduces
synchronization overheads. We also develop a tile-based parallelization
strategy to support execution on multiple CPUs and GPUs. We evaluate our
approaches on a state-of-the-art GPU accelerated machine (equipped with 3 GPUs
and 2 multicore CPUs) using the IWPP implementations of two widely used image
processing operations: morphological reconstruction and euclidean distance
transform. Our results show significant performance improvements on GPUs. The
use of multiple CPUs and GPUs cooperatively attains speedups of 50x and 85x
with respect to single core CPU executions for morphological reconstruction and
euclidean distance transform, respectively.Comment: 37 pages, 16 figure
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