5,491 research outputs found
Clustering Analyses of 300,000 Photometrically Classified Quasars--II. The Excess on Very Small Scales
We study quasar clustering on small scales, modeling clustering amplitudes
using halo-driven dark matter descriptions. From 91 pairs on scales <35 kpc/h,
we detect only a slight excess in quasar clustering over our best-fit
large-scale model. Integrated across all redshifts, the implied quasar bias is
b_Q = 4.21+/-0.98 (b_Q = 3.93+/-0.71) at ~18 kpc/h (~28 kpc/h). Our best-fit
(real-space) power index is ~-2 (i.e., ), implying
steeper halo profiles than currently found in simulations. Alternatively,
quasar binaries with separation <35 kpc/h may trace merging galaxies, with
typical dynamical merger times t_d~(610+/-260)m^{-1/2} Myr/h, for quasars of
host halo mass m x 10^{12} Msolar/h. We find UVX quasars at ~28 kpc/h cluster
>5 times higher at z > 2, than at z < 2, at the level. However, as
the space density of quasars declines as z increases, an excess of quasar
binaries (over expectation) at z > 2 could be consistent with reduced merger
rates at z > 2 for the galaxies forming UVX quasars. Comparing our clustering
at ~28 kpc/h to a \xi(r)=(r/4.8\Mpch)^{-1.53} power-law, we find an upper
limit on any excess of a factor of 4.3+/-1.3, which, noting some caveats,
differs from large excesses recently measured for binary quasars, at
. We speculate that binary quasar surveys that are biased to z > 2
may find inflated clustering excesses when compared to models fit at z < 2. We
provide details of 111 photometrically classified quasar pairs with separations
<0.1'. Spectroscopy of these pairs could significantly constrain quasar
dynamics in merging galaxies.Comment: 12pages, 3 figures, 2 tables; uses amulateapj; accepted to Ap
Marketing data: Has the rise of impact factor led to the fall of objective language in the scientific article?
The language of science should be objective and detached and should place data in the appropriate context. The aim of this commentary was to explore the notion that recent trends in the use of language have led to a loss of objectivity in the presentation of scientific data. The relationship between the value-laden vocabulary and impact factor among fundamental biomedical research and clinical journals has been explored. It appears that fundamental research journals of high impact factors have experienced a rise in value-laden terms in the past 25 years
The Sloan Digital Sky Survey Stripe 82 Imaging Data: Depth-Optimized Co-adds Over 300 Deg^2 in Five Filters
We present and release co-added images of the Sloan Digital Sky Survey (SDSS)
Stripe 82. Stripe 82 covers an area of 300 deg^2 on the Celestial Equator, and
has been repeatedly scanned 70-90 times in the ugriz bands by the SDSS imaging
survey. By making use of all available data in the SDSS archive, our co-added
images are optimized for depth. Input single-epoch frames were properly
processed and weighted based on seeing, sky transparency, and background noise
before co-addition. The resultant products are co-added science images and
their associated weight images that record relative weights at individual
pixels. The depths of the co-adds, measured as the 5 sigma detection limits of
the aperture (3.2 arcsec diameter) magnitudes for point sources, are roughly
23.9, 25.1, 24.6, 24.1, and 22.8 AB magnitudes in the five bands, respectively.
They are 1.9-2.2 mag deeper than the best SDSS single-epoch data. The co-added
images have good image quality, with an average point-spread function FWHM of
~1 arcsec in the r, i, and z bands. We also release object catalogs that were
made with SExtractor. These co-added products have many potential uses for
studies of galaxies, quasars, and Galactic structure. We further present and
release near-IR J-band images that cover ~90 deg^2 of Stripe 82. These images
were obtained using the NEWFIRM camera on the NOAO 4-m Mayall telescope, and
have a depth of about 20.0--20.5 Vega magnitudes (also 5 sigma detection limits
for point sources).Comment: 19 pages, 17 figures, accepted for publication in ApJ
Bayesian High-Redshift Quasar Classification from Optical and Mid-IR Photometry
We identify 885,503 type 1 quasar candidates to i<22 using the combination of
optical and mid-IR photometry. Optical photometry is taken from the Sloan
Digital Sky Survey-III: Baryon Oscillation Spectroscopic Survey
(SDSS-III/BOSS), while mid-IR photometry comes from a combination of data from
the Wide-Field Infrared Survey Explorer (WISE) "ALLWISE" data release and
several large-area Spitzer Space Telescope fields. Selection is based on a
Bayesian kernel density algorithm with a training sample of 157,701
spectroscopically-confirmed type-1 quasars with both optical and mid-IR data.
Of the quasar candidates, 733,713 lack spectroscopic confirmation (and 305,623
are objects that we have not previously classified as photometric quasar
candidates). These candidates include 7874 objects targeted as high probability
potential quasars with 3.5<z<5 (of which 6779 are new photometric candidates).
Our algorithm is more complete to z>3.5 than the traditional mid-IR selection
"wedges" and to 2.2<z<3.5 quasars than the SDSS-III/BOSS project. Number counts
and luminosity function analysis suggests that the resulting catalog is
relatively complete to known quasars and is identifying new high-z quasars at
z>3. This catalog paves the way for luminosity-dependent clustering
investigations of large numbers of faint, high-redshift quasars and for further
machine learning quasar selection using Spitzer and WISE data combined with
other large-area optical imaging surveys.Comment: 54 pages, 17 figures; accepted by ApJS Data for tables 1 and 2
available at
http://www.physics.drexel.edu/~gtr/outgoing/optirqsos/data/master_quasar_catalogs.011414.fits.bz2
and
http://www.physics.drexel.edu/~gtr/outgoing/optirqsos/data/optical_ir_quasar_candidates.052015.fits.bz
The Properties of Radio Galaxies and the Effect of Environment in Large Scale Structures at
In this study we investigate 89 radio galaxies that are
spectroscopically-confirmed to be members of five large scale structures in the
redshift range of . Based on a two-stage classification
scheme, the radio galaxies are classified into three sub-classes: active
galactic nucleus (AGN), hybrid, and star-forming galaxy (SFG). We study the
properties of the three radio sub-classes and their global and local
environmental preferences. We find AGN hosts are the most massive population
and exhibit quiescence in their star-formation activity. The SFG population has
a comparable stellar mass to those hosting a radio AGN but are unequivocally
powered by star formation. Hybrids, though selected as an intermediate
population in our classification scheme, were found in almost all analyses to
be a unique type of radio galaxies rather than a mixture of AGN and SFGs. They
are dominated by a high-excitation radio galaxy (HERG) population. We discuss
environmental effects and scenarios for each sub-class. AGN tend to be
preferentially located in locally dense environments and in the cores of
clusters/groups, with these preferences persisting when comparing to galaxies
of similar colour and stellar mass, suggesting that their activity may be
ignited in the cluster/group virialized core regions. Conversely, SFGs exhibit
a strong preference for intermediate-density global environments, suggesting
that dusty starbursting activity in LSSs is largely driven by galaxy-galaxy
interactions and merging.Comment: 28 pages, 10 figures, accepted to MNRA
Physical Models for the Clustering of Obscured and Unobscured Quasars
Clustering measurements of obscured and unobscured quasars show that obscured
quasars reside in more massive dark matter halos than their unobscured
counterparts. These results are inconsistent with simple unified (torus)
scenarios, but might be explained by models in which the distribution of
obscuring material depends on Eddington ratio or galaxy stellar mass. We test
these possibilities by constructing simple physical models to compare to
observed AGN populations. We find that previously observed relationships
between obscuration and Eddington ratio or stellar mass are not sufficient
reproduce the observed quasar clustering results ( and for obscured and
unobscured populations, respectively) while maintaining the observed fraction
of obscured quasars (30-65). This work suggests that evolutionary models,
in which obscuration evolves on the typical timescale for black hole growth,
are necessary to understand the observed clustering of mid-IR selected quasars.Comment: 14 pages, 10 figures, accepted for publication in Ap
The z=5 Quasar Luminosity Function from SDSS Stripe 82
We present a measurement of the Type I quasar luminosity function at z=5
using a large sample of spectroscopically confirmed quasars selected from
optical imaging data. We measure the bright end (M_1450<-26) with Sloan Digital
Sky Survey (SDSS) data covering ~6000 deg^2, then extend to lower luminosities
(M_1450<-24) with newly discovered, faint z~5 quasars selected from 235 deg^2
of deep, coadded imaging in the SDSS Stripe 82 region (the celestial equator in
the Southern Galactic Cap). The faint sample includes 14 quasars with spectra
obtained as ancillary science targets in the SDSS-III Baryon Oscillation
Spectroscopic Survey (BOSS), and 59 quasars observed at the MMT and Magellan
telescopes. We construct a well-defined sample of 4.7<z<5.1 quasars that is
highly complete, with 73 spectroscopic identifications out of 92 candidates.
Our color selection method is also highly efficient: of the 73 spectra
obtained, 71 are high redshift quasars. These observations reach below the
break in the luminosity function (M_1450* ~ -27). The bright end slope is steep
(beta <~ -4), with a constraint of beta < -3.1 at 95% confidence. The break
luminosity appears to evolve strongly at high redshift, providing an
explanation for the flattening of the bright end slope reported previously. We
find a factor of ~2 greater decrease in the number density of luminous quasars
(M_1450<-26) from z=5 to z=6 than from z=4 to z=5, suggesting a more rapid
decline in quasar activity at high redshift than found in previous surveys. Our
model for the quasar luminosity function predicts that quasars generate ~30% of
the ionizing photons required to keep the universe ionized at z=5.Comment: 29 pages, 22 figures, ApJ accepted (updated to published version
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Human-like hip joint loading in Australopithecus africanus and Paranthropus robustus.
Adaptations indicative of habitual bipedalism are present in the earliest recognized hominins. However, debate persists about various aspects of bipedal locomotor behavior in fossil hominins, including the nature of gait kinematics, locomotor variability across different species, and the degree to which various australopith species engaged in arboreal behaviors. In this study, we analyze variation in trabecular bone structure of the femoral head using a sample of modern humans, extant non-human hominoids, baboons, and fossil hominins attributed to Australopithecus africanus, Paranthropus robustus, and the genus Homo. We use μCT data to characterize the fabric anisotropy, material orientation, and bone volume fraction of trabecular bone to reconstruct hip joint loading conditions in these fossil hominins. Femoral head trabecular bone fabric structure in australopiths is more similar to that of modern humans and Pleistocene Homo than extant apes, indicating that these australopith individuals walked with human-like hip kinematics, including a more limited range of habitual hip joint postures (e.g., a more extended hip) during bipedalism. Our results also indicate that australopiths have robust femoral head trabecular bone, suggesting overall increased loading of the musculoskeletal system comparable to that imposed by extant apes. These results provide new evidence of human-like bipedal locomotion in Pliocene hominins, even while other aspects of their musculoskeletal systems retain ape-like characteristics
Polypharmacy, benzodiazepines, and antidepressants, but not antipsychotics, are associated with increased falls risk in UK care home residents: a prospective multi-centre study
Purpose: Falls and polypharmacy are both common in care home residents. Deprescribing of medications in residents with increased falls risk is encouraged. Psychotropic medications are known to increase falls risk in older adults. These drugs are often used in care home residents for depression, anxiety, and behavioural and psychological symptoms of dementia. However, few studies have explored the link between polypharmacy, psychotropic medications and falls risk in care home residents. Methods: A prospective cohort study of residents from 84 UK care homes. Data were collected from residents’ care records and medication administration records. Age, diagnoses, gender, number of medications and number of psychotropic medications were collected at baseline and residents were monitored over three months for occurrence of falls. Logistic regression models were used to assess the effect of multiple medications and psychotropic medication on falls whilst adjusting for confounders. Results: Of the 1,655 participants, mean age 85 (SD 8.9) years, 67.9% female, 519 (31%) fell in 3 months. Both the total number of regular drugs prescribed and taking ≥1 regular psychotropic medication were independent risk factors for falling (adjusted odds ratio (OR) 1.06 (95%CI 1.03-1.09,
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