115 research outputs found
Local star-forming galaxies build up central mass concentration most actively near
To understand in what mass regime star-forming galaxies (SFGs) build up
central mass concentration most actively, we present a study on the
luminosity-weighted stellar age radial gradient ()
distribution of low-redshift SFGs using the MaNGA Pipe3D data
available in the SDSS DR17. The mean age gradient is negative, with
log Gyr/, consistent with the inside-out
disk formation scenario. Specifically, SFGs with positive
consist of at log, while this fraction rises
up to its peak () near log and then decreases
to at log. At fixed , SFGs with
positive typically have more compact sizes and more
centrally concentrated star formation than their counterparts, indicative of
recent central mass build-up events. These results suggest that the build-up of
central stellar mass concentration in local SFGs is mostly active near
. Our findings provide new insights on the origin of
morphological differences between low-mass and high-mass SFGs.Comment: 10 pages, 8 figures, accepted by Ap
Nature vs. Nurture: Revisiting the environmental impact on star formation activities of galaxies
We present a systematic study of the environmental impact on star formation
activities of galaxies using a mass-complete sample of 170k galaxies at
from the latest COSMOS2020 catalog. At , we find that the mean
star-formation rate (SFR) of all galaxies decreases with increasing density of
the environment. However when we consider only star-forming galaxies, the mean
SFR becomes independent of the environment at we observe a
clear positive correlation between the SFR and density of the environment for
all the galaxies. On the other hand, stellar mass of the galaxies increases
significantly with the environments at all redshifts except for star-forming
galaxies at . The fraction of quiescent galaxies increases with increasing
density of environment at , and the ``morphology-density'' relation is
confirmed to be present up to . We also find that environmental
quenching is negligible at , whereas mass quenching is the dominant
quenching mechanism for massive galaxies at all redshifts. Based on these
results, we argue that stellar mass regulated physical processes might be the
major driving force for star formation activities of galaxies. At low redshift
() massive galaxies are quenched primarily due to their high mass,
resulting in a normal ``SFR-density'' relation. At high redshift () most
of the galaxies are star-forming ones tightly following the star-forming main
sequence, and the difference in their stellar mass at different environments
naturally leads to a reversal of ``SFR-density'' relation.Comment: 16 pages, 7 figures, accepted for publication in Ap
Deep CFHT Y-band imaging of VVDS-F22 field: I. data products and photometric redshifts
We present our deep -band imaging data of a two square degree field within
the F22 region of the VIMOS VLT Deep Survey. The observations were conducted
using the WIRCam instrument mounted at the Canada--France--Hawaii Telescope
(CFHT). The total on-sky time was 9 hours, distributed uniformly over 18 tiles.
The scientific goals of the project are to select faint quasar candidates at
redshift , and constrain the photometric redshifts for quasars and
galaxies. In this paper, we present the observation and the image reduction, as
well as the photometric redshifts that we derived by combining our -band
data with the CFHTLenS optical data and UKIDSS DXS
near-infrared data. With -band image as reference total 80,000
galaxies are detected in the final mosaic down to -band point
source limiting depth of 22.86 mag. Compared with the 3500 spectroscopic
redshifts, our photometric redshifts for galaxies with and
mag have a small systematic offset of
, 1 scatter ,
and less than 4.0% of catastrophic failures. We also compare to the CFHTLenS
photometric redshifts, and find that ours are more reliable at
because of the inclusion of the near-infrared bands. In particular, including
the -band data can improve the accuracy at because the
location of the 4000\AA-break is better constrained. The -band images, the
multi-band photometry catalog and the photometric redshifts are released at
\url{http://astro.pku.edu.cn/astro/data/DYI.html}.Comment: 16 pages, 12 figures, 4 tables. AJ accepted. Updated access to the
data: https://zenodo.org/record/140003
Spectroscopic Confirmation of two Extremely Massive Protoclusters BOSS1244 and BOSS1542 at
We present spectroscopic confirmation of two new massive galaxy protoclusters
at , BOSS1244 and BOSS1542, traced by groups of Coherently
Strong Ly Absorption (CoSLA) systems imprinted in the absorption
spectra of a number of quasars from the SDSS III and identified as
overdensities of narrowband-selected H emitters (HAEs). Using MMT/MMIRS
and LBT/LUCI near-infrared (NIR) spectroscopy, we confirm 46 and 36 HAEs in the
BOSS1244 and BOSS1542 fields, respectively. BOSS1244 displays a South-West (SW)
component at and another North-East (NE) component at
with the line-of-sight velocity dispersions of km
s and km s, respectively. Interestingly, we find that
the SW region of BOSS1244 contains two substructures in redshift space, likely
merging to form a larger system. In contrast, BOSS1542 exhibits an extended
filamentary structure with a low velocity dispersion of km s
at , providing a direct confirmation of a large-scale cosmic
web in the early Universe. The galaxy overdensities on the
scale of 15 cMpc are , , and for the
BOSS1244 SW, BOSS1244 NE, and BOSS1542 filament, respectively. They are the
most overdense galaxy protoclusters () discovered to date at
. These systems are expected to become virialized at with a total
mass of , and , respectively. Together with
BOSS1441 described in Cai et al. (2017a), these extremely massive overdensities
at exhibit different morphologies, indicating that they are in
different assembly stages in the formation of early galaxy clusters.Comment: 28 pages, 13 figures, 6 tables, accepted for publication in ApJ. The
complete Abstract is presented in the manuscrip
Deep Imaging of the HCG 95 Field.I.Ultra-diffuse Galaxies
We present a detection of 89 candidates of ultra-diffuse galaxies (UDGs) in a
4.9 degree field centered on the Hickson Compact Group 95 (HCG 95) using
deep - and -band images taken with the Chinese Near Object Survey
Telescope. This field contains one rich galaxy cluster (Abell 2588 at
=0.199) and two poor clusters (Pegasus I at =0.013 and Pegasus II at
=0.040). The 89 candidates are likely associated with the two poor clusters,
giving about 50 60 true UDGs with a half-light radius kpc
and a central surface brightness mag arcsec. Deep
'-band images are available for 84 of the 89 galaxies from the Dark Energy
Camera Legacy Survey (DECaLS), confirming that these galaxies have an extremely
low central surface brightness. Moreover, our UDG candidates are spread over a
wide range in color, and 26% are as blue as normal star-forming
galaxies, which is suggestive of young UDGs that are still in formation.
Interestingly, we find that one UDG linked with HCG 95 is a gas-rich galaxy
with H I mass detected by the Very Large Array,
and has a stellar mass of . This
indicates that UDGs at least partially overlap with the population of nearly
dark galaxies found in deep H I surveys. Our results show that the high
abundance of blue UDGs in the HCG 95 field is favored by the environment of
poor galaxy clusters residing in H I-rich large-scale structures.Comment: Published in Ap
BayeSED-GALAXIES I. Performance test for simultaneous photometric redshift and stellar population parameter estimation of galaxies in the CSST wide-field multiband imaging survey
The forthcoming CSST wide-field multiband imaging survey will produce
seven-band photometric spectral energy distributions (SEDs) for billions of
galaxies. The effective extraction of astronomical information from these
massive datasets of SEDs relies on the techniques of both SED synthesis (or
modeling) and analysis (or fitting). We evaluate the performance of the latest
version of BayeSED code combined with SED models with increasing complexity for
simultaneously determining the photometric redshifts and stellar population
parameters of galaxies in this survey. By using an empirical statistics-based
mock galaxy sample without SED modeling errors, we show finding that the random
observational errors in photometries are more important sources of errors than
the parameter degeneracies and Bayesian analysis method and tool. By using a
Horizon-AGN hydrodynamical simulation-based mock galaxy sample with SED
modeling errors about the star formation histories (SFHs) and dust attenuation
laws (DALs), the simple typical assumptions lead to significantly worse
parameter estimation with CSST photometries only. The SED models with more
flexible (or complicated) forms of SFH/DAL do not necessarily lead to better
estimation of redshift and stellar population parameters. We discuss the
selection of the best SED model by means of Bayesian model comparison in
different surveys. Our results reveal that the Bayesian model comparison with
Bayesian evidence may favor SED models with different complexities when using
photometries from different surveys. Meanwhile, the SED model with the largest
Bayesian evidence tends to give the best performance of parameter estimation,
which is more clear for photometries with larger discriminative power.Comment: Accepted for publication in ApJS (49 pages, 23 figures, 5 tables).
Comments are welcome! The new version of BayeSED code, documents, and the
scripts used for the performance tests presented in this work will be
publicly available at https://bitbucket.org/hanyk/bayesed/,
https://bayesed.readthedocs.io/, and
https://github.com/hanyk/BayeSED-performance-test/, respectivel
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