208 research outputs found
Bulge mass is king: The dominant role of the bulge in determining the fraction of passive galaxies in the Sloan Digital Sky Survey
We investigate the origin of galaxy bimodality by quantifying the relative
role of intrinsic and environmental drivers to the cessation (or `quenching')
of star formation in over half a million local Sloan Digital Sky Survey (SDSS)
galaxies. Our sample contains a wide variety of galaxies at z=0.02-0.2, with
stellar masses of 8 < log(M*/M_sun) < 12, spanning the entire morphological
range from pure disks to spheroids, and over four orders of magnitude in local
galaxy density and halo mass. We utilise published star formation rates and add
to this recent GIM2D photometric and stellar mass bulge + disk decompositions
from our group. We find that the passive fraction of galaxies increases steeply
with stellar mass, halo mass, and bulge mass, with a less steep dependence on
local galaxy density and bulge-to-total stellar mass ratio (B/T). At fixed
internal properties, we find that central and satellite galaxies have different
passive fraction relationships. For centrals, we conclude that there is less
variation in the passive fraction at a fixed bulge mass, than for any other
variable, including total stellar mass, halo mass, and B/T. This implies that
the quenching mechanism must be most tightly coupled to the bulge. We argue
that radio-mode AGN feedback offers the most plausible explanation of the
observed trends.Comment: Accepted to MNRAS. 32 pages, 27 figures. [This version is virtually
identical to v1
Star Formation in a Stellar Mass Selected Sample of Galaxies to z=3 from the GOODS NICMOS Survey (GNS)
We present a study of the star-forming properties of a stellar mass-selected
sample of galaxies in the GOODS NICMOS Survey (GNS), based on deep Hubble Space
Telescope imaging of the GOODS North and South fields. Using a stellar mass
selected sample, combined with HST/ACS and Spitzer data to measure both UV and
infrared derived star formation rates (SFR), we investigate the star forming
properties of a complete sample of ~1300 galaxies down to log M*=9.5 at
redshifts 1.5<z<3. Eight percent of the sample is made up of massive galaxies
with M*>10^11 Msun. We derive optical colours, dust extinctions, and
ultraviolet and infrared SFR to determine how the star formation rate changes
as a function of both stellar mass and time. Our results show that SFR
increases at higher stellar mass such that massive galaxies nearly double their
stellar mass from star formation alone over the redshift range studied, but the
average value of SFR for a given stellar mass remains constant over this 2 Gyr
period. Furthermore, we find no strong evolution in the SFR for our sample as a
function of mass over our redshift range of interest, in particular we do not
find a decline in the SFR among massive galaxies, as is seen at z < 1. The most
massive galaxies in our sample (log M*>11) have high average SFRs with values,
SFR(UV,corr) = 103+/-75 Msun/yr, yet exhibit red rest-frame (U-B) colours at
all redshifts. We conclude that the majority of these red high-redshift massive
galaxies are red due to dust extinction. We find that A(2800) increases with
stellar mass, and show that between 45% and 85% of massive galaxies harbour
dusty star formation. These results show that even just a few Gyr after the
first galaxies appear, there are strong relations between the global physical
properties of galaxies, driven by stellar mass or another underlying feature of
galaxies strongly related to the stellar mass.Comment: 18 pages, 10 figures, accepted for publication in MNRA
What shapes a galaxy? - Unraveling the role of mass, environment and star formation in forming galactic structure
We investigate the dependence of galaxy structure on a variety of galactic
and environmental parameters for ~500,000 galaxies at z<0.2, taken from the
Sloan Digital Sky Survey data release 7 (SDSS-DR7). We utilise bulge-to-total
stellar mass ratio, (B/T)_*, as the primary indicator of galactic structure,
which circumvents issues of morphological dependence on waveband. We rank
galaxy and environmental parameters in terms of how predictive they are of
galaxy structure, using an artificial neural network approach. We find that
distance from the star forming main sequence (Delta_SFR), followed by stellar
mass (M_*), are the most closely connected parameters to (B/T)_*, and are
significantly more predictive of galaxy structure than global star formation
rate (SFR), or any environmental metric considered (for both central and
satellite galaxies). Additionally, we make a detailed comparison to the
Illustris hydrodynamical simulation and the LGalaxies semi-analytic model. In
both simulations, we find a significant lack of bulge-dominated galaxies at a
fixed stellar mass, compared to the SDSS. This result highlights a potentially
serious problem in contemporary models of galaxy evolution.Comment: Accepted to MNRAS. 31 pages, 15 figure
Gas Accretion as a Dominant Formation Mode in Massive Galaxies from the GOODS NICMOS Survey
The ability to resolve all processes which drive galaxy formation is one of
the most fundamental goals in extragalactic astronomy. While star formation
rates and the merger history are now measured with increasingly high certainty,
the role of gas accretion from the intergalactic medium in supplying gas for
star formation still remains largely unknown. We present in this paper indirect
evidence for the accretion of gas into massive galaxies with initial stellar
masses M_*>10^{11} M_sol and following the same merger adjusted co-moving
number density at lower redshifts during the epoch 1.5 < z < 3, using results
from the GOODS NICMOS Survey (GNS). We show that the measured gas mass
fractions of these massive galaxies are inconsistent with the observed star
formation history for the same galaxy population. We further demonstrate that
this additional gas mass cannot be accounted for by cold gas delivered through
minor and major mergers. We also consider the effects of gas outflows and gas
recycling due to stellar evolution in these calculations. We argue that to
sustain star formation at the observed rates there must be additional methods
for increasing the cold gas mass, and that the likeliest method for
establishing this supply of gas is by accretion from the intergalactic medium.
We calculate that the average gas mass accretion rate into these massive
galaxies between 1.5 < z < 3.0, is \dot{M} = 96+/-19 M_sol/yr after accounting
for outflowing gas. We show that during this epoch, and for these very massive
galaxies, 49+/-20% of baryonic mass assembly is a result of gas accretion and
unresolved mergers. However, 66+/-20% of all star formation in this epoch is
the result of gas accretion. This reveals that for the most massive galaxies at
1.5< z< 3 gas accretion is the dominant method for instigating new stellar mass
assembly.Comment: MNRAS in press, 11 pages, 5 figure
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Plasma free fatty acids do not provide the link between obesity and insulin resistance or β-cell dysfunction: results of the Reading, Imperial, Surrey, Cambridge, Kings (RISCK) study
Aims
To investigate the relationship between adiposity and plasma free fatty acid levels and the influence of total plasma free fatty acid level on insulin sensitivity and β-cell function.
Methods
An insulin sensitivity index, acute insulin response to glucose and a disposition index, derived from i.v. glucose tolerance minimal model analysis and total fasting plasma free fatty acid levels were available for 533 participants in the Reading, Imperial, Surrey, Cambridge, Kings study. Bivariate correlations were made between insulin sensitivity index, acute insulin response to glucose and disposition index and both adiposity measures (BMI, waist circumference and body fat mass) and total plasma free fatty acid levels. Multivariate linear regression analysis was performed, controlling for age, sex, ethnicity and adiposity.
Results
After adjustment, all adiposity measures were inversely associated with insulin sensitivity index (BMI: β = â0.357; waist circumference: β = â0.380; body fat mass: β = â0.375) and disposition index (BMI: β = â0.215; waist circumference: β = â0.248; body fat mass: β = â0.221) and positively associated with acute insulin response to glucose [BMI: β = 0.200; waist circumference: β = 0.195; body fat mass β = 0.209 (P values <0.001)]. Adiposity explained 13, 4 and 5% of the variation in insulin sensitivity index, acute insulin response to glucose and disposition index, respectively. After adjustment, no adiposity measure was associated with free fatty acid level, but total plasma free fatty acid level was inversely associated with insulin sensitivity index (β = â0.133), acute insulin response to glucose (β = â0.148) and disposition index [β = â0.218 (P values <0.01)]. Plasma free fatty acid concentration accounted for 1.5, 2 and 4% of the variation in insulin sensitivity index, acute insulin response to glucose and disposition index, respectively.
Conclusions
Plasma free fatty acid levels have a modest negative association with insulin sensitivity, β-cell secretion and disposition index but no association with adiposity measures. It is unlikely that plasma free fatty acids are the primary mediators of obesity-related insulin resistance or β-cell dysfunction
A Deep Probe of the Galaxy Stellar Mass Functions at z~1-3 with the GOODS NICMOS Survey
We use a sample of 8298 galaxies observed in the HST GOODS NICMOS Survey
(GNS) to construct the galaxy stellar mass function as a function of both
redshift and stellar mass up to z=3.5 and down to masses of Mstar=10^8.5 Msun
at z~1. We discover that a significant fraction of all massive Mstar>10^11 Msun
galaxies are in place up to the highest redshifts we probe, with a decreasing
fraction of lower mass galaxies present at all redshifts. This is an example of
`galaxy mass downsizing', and is the result of massive galaxies forming before
lower mass ones, and not just simply ending their star formation earlier as in
traditional downsizing scenarios. We find that the faint end slope is
significantly steeper than what is found in previous investigations. We
demonstrate that this steeper mass function better matches the stellar mass
added due to star formation, thereby alleviating some of the mismatch between
these two measures of the evolution of galaxy mass. We furthermore examine the
stellar mass function divided into blue/red systems, as well as for star
forming and non-star forming galaxies. We find a similar mass downsizing
present for both blue/red and star-forming/non-star forming galaxies, and that
the low mass galaxies are mostly all blue, and are therefore creating the steep
mass functions. We furthermore show that, although there is a downsizing such
that high mass galaxies are nearer their z=0 values at high redshift, this
turns over at masses Mstar~10^10 Msun, such that the lowest mass galaxies are
more common than galaxies at slight higher masses, creating a `dip' in the
observed galaxy mass function. We argue that the galaxy assembly process may be
driven by different mechanisms at low and high masses, and that the efficiency
of the galaxy formation process is lowest at masses Mstar~10^10 Msun at 1<z<3.
(Abridged)Comment: 16 pages, 11 figures, MNRAS, accepte
The quenching of galaxies, bulges, and disks since cosmic noon: A machine learning approach for identifying causality in astronomical data
We present an analysis of the quenching of star formation in galaxies,
bulges, and disks throughout the bulk of cosmic history, from . We
utilise observations from the SDSS and MaNGA at low redshifts. We complement
these data with observations from CANDELS at high redshifts. Additionally, we
compare the observations to detailed predictions from the LGalaxies
semi-analytic model. To analyse the data, we developed a machine learning
approach utilising a Random Forest classifier. We first demonstrate that this
technique is extremely effective at extracting causal insight from highly
complex and inter-correlated model data, before applying it to various
observational surveys. Our primary observational results are as follows: At all
redshifts studied in this work, we find bulge mass to be the most predictive
parameter of quenching, out of the photometric parameter set (incorporating
bulge mass, disk mass, total stellar mass, and structure). Moreover, we
also find bulge mass to be the most predictive parameter of quenching in both
bulge and disk structures, treated separately. Hence, intrinsic galaxy
quenching must be due to a stable mechanism operating over cosmic time, and the
same quenching mechanism must be effective in both bulge and disk regions.
Despite the success of bulge mass in predicting quenching, we find that central
velocity dispersion is even more predictive (when available in spectroscopic
data sets). In comparison to the LGalaxies model, we find that all of these
observational results may be consistently explained through quenching via
preventative `radio-mode' active galactic nucleus (AGN) feedback. Furthermore,
many alternative quenching mechanisms (including virial shocks, supernova
feedback, and morphological stabilisation) are found to be inconsistent with
our observational results and those from the literature
Coffee consumption has no acute effects on glucose metabolism in healthy men : a randomized crossover clinical trial
We investigate the effect of coffee (caffeinated and decaffeinated) on glucose effectiveness and insulin sensitivity using the stable isotope minimal model protocol with oral glucose administration in healthy men
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