53,799 research outputs found
The Stellar Halo in the Large Magellanic Cloud: Mass, Luminosity, and Microlensing Predictions
Recently obtained kinematic data has shown that the Large Magellanic Cloud
(LMC) possesses an old stellar halo. In order to further characterize the
properties of this halo, parametric King models are fit to the surface density
of RR Lyrae stars. Using data from both the MACHO and OGLE II microlensing
surveys, the model fits yield the center of their distribution at RA =
05:21.1+-0.8, Dec = -69:45+-6 (J2000) and a core radius of 1.42+-0.12 kpc. As a
check the halo model is compared with RR Lyrae star counts in fields near the
LMC's periphery previously surveyed with photographic plates. These data,
however, require a cautious interpretation. Several topics regarding the LMC
stellar halo are discussed. First, the properties of the halo imply a global
mass-to-light ratio of M/L_V = 5.3+-2.1 and a total mass of 1.6+-0.6 10^10
M_sun for the LMC in good agreement with estimates based on the rotation curve.
Second, although the LMC's disk and halo are kinematically distinct, the shape
of the surface density profile of the halo is remarkably similar to that of the
young disk. For example, the best-fit exponential scale length for the RR Lyrae
stars is 1.47+-0.08 kpc, which compares to 1.46 kpc for the LMC's blue light.
In the Galaxy, the halo and disk do not resemble each other like this. Finally,
a local maximum in the LMC's microlensing optical depth due to halo-on-disk
stellar self-lensing is predicted. For the parameters of the stellar halo
obtained, this maximum is located near MACHO events LMC-4 and LMC-23, and is
large enough to possibly account for these two events, but not for all of the
observed microlensing.Comment: 11 pages, 1 figure, accepted to ApJ Letter
Keck Deep Fields. II. The UV Galaxy Luminosity Function at z~4, 3, and 2
We use very deep UGRI multi-field imaging obtained at the Keck telescope to
study the evolution of the rest-frame 1700A galaxy luminosity function as the
Universe doubles its age from z~4 to z~2. The depth of our imaging allows us to
constrain the faint end of the luminosity function reaching M_1700A ~ -18.5 at
z~3 (equivalent to ~1M_sun/yr) accounting for both N^1/2 uncertainty in the
number of galaxies and for cosmic variance. We carefully examine many potential
sources of systematic bias in our LF measurements before drawing the following
conclusions. We find that the luminosity function of Lyman Break Galaxies
evolves with time and that this evolution is likely differential with
luminosity. The result is best constrained between the epochs at z~4 and z~3,
where we find that the number density of sub-L* galaxies increases with time by
at least a factor of 2.3 (11sigma statistical confidence); while the faint end
of the LF evolves, the bright end appears to remain virtually unchanged,
indicating that there may be differential, luminosity-dependent evolution
significant at the 97% level. Potential systematic biases restric our ability
to draw strong conclusions about continued evolution of the luminosity function
to lower redshifts, z~2.2 and z~1.7, but, nevertheless, it appears certain that
the number density of z~2.2 galaxies at all luminosities we studied,
-22<M_1700A<-18, is at least as high as that of their counterparts at z~3.
While it is not yet clear what mechanism underlies the observed evolution, the
fact that this evolution is differential with luminosity opens up new avenues
of improving our understanding of how galaxies form and evolve at high
redshift.Comment: Accepted for publication in ApJ. Updated preprint to reflect this
final versio
Forecast Encompassing Tests and Probability Forecasts
We consider tests of forecast encompassing for probability forecasts, for both quadratic and logarithmic scoring rules. We propose test statistics for the null of forecast encompassing, present the limiting distributions of the test statistics, and investigate the impact of estimating the forecasting models’ parameters on these distributions. The small-sample performance of the various statistics is investigated, both in terms of small numbers of forecasts and model estimation sample sizes. Two empirical applications show the usefulness of the tests for the evaluation of recession probability forecasts from logit models with different leading indicators as explanatory variables, and for evaluating survey-based probability forecasts. Probability forecasts ; encompassing tests ; recession probabilities
Structural Analysis and Stochastic Modelling Suggest a Mechanism for Calmodulin Trapping by CaMKII
Activation of CaMKII by calmodulin and the subsequent maintenance of constitutive activity through autophosphorylation at threonine residue 286 (Thr286) are thought to play a major role in synaptic plasticity. One of the effects of autophosphorylation at Thr286 is to increase the apparent affinity of CaMKII for calmodulin, a phenomenon known as “calmodulin trapping”. It has previously been suggested that two binding sites for calmodulin exist on CaMKII, with high and low affinities, respectively. We built structural models of calmodulin bound to both of these sites. Molecular dynamics simulation showed that while binding of calmodulin to the supposed low-affinity binding site on CaMKII is compatible with closing (and hence, inactivation) of the kinase, and could even favour it, binding to the high-affinity site is not. Stochastic simulations of a biochemical model showed that the existence of two such binding sites, one of them accessible only in the active, open conformation, would be sufficient to explain calmodulin trapping by CaMKII. We can explain the effect of CaMKII autophosphorylation at Thr286 on calmodulin trapping: It stabilises the active state and therefore makes the high-affinity binding site accessible. Crucially, a model with only one binding site where calmodulin binding and CaMKII inactivation are strictly mutually exclusive cannot reproduce calmodulin trapping. One of the predictions of our study is that calmodulin binding in itself is not sufficient for CaMKII activation, although high-affinity binding of calmodulin is
Keck Deep Fields. III. Luminosity-dependent Evolution of the Ultraviolet Luminosity and Star Formation Rate Densities at z~4, 3, and 2
We use the Keck Deep Fields UGRI catalog of z~4, 3, and 2 UV-selected
galaxies to study the evolution of the rest-frame 1700A luminosity density at
high redshift. The ability to reliably constrain the contribution of faint
galaxies is critical and our data do so as they reach to M*+2 even at z~4 and
deeper still at lower redshifts. We find that the luminosity density at high
redshift is dominated by the hitherto poorly studied galaxies fainter than L*,
and, indeed, the the bulk of the UV light in the high-z Universe comes from
galaxies in the luminosity range L=0.1-1L*. It is these faint galaxies that
govern the behavior of the total UV luminosity density. Overall, there is a
gradual rise in luminosity density starting at z~4 or earlier, followed by a
shallow peak or a plateau within z~3--1, and then followed by the well-know
plunge at lower redshifts. Within this total picture, luminosity density in
sub-L* galaxies evolves more rapidly at high redshift, z>~2, than that in more
luminous objects. However, this is reversed at lower redshifts, z<~1, a
reversal that is reminiscent of galaxy downsizing. Within the context of the
models commonly used in the observational literature, there seemingly aren't
enough faint or bright LBGs to maintain ionization of intergalactic gas even as
late as z~4. This is particularly true at earlier epochs and even more so if
the faint-end evolutionary trends we observe at z~3 and 4 continue to higher
redshifts. Apparently the Universe must be easier to reionize than some recent
studies have assumed. Nevertheless, sub-L* galaxies do dominate the total UV
luminosity density at z>~2 and this dominance further highlights the need for
follow-up studies that will teach us more about these very numerous but thus
far largely unexplored systems.Comment: Accepted for publication in the Astrophysical Journal. Abstract
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Preheating after multifield inflation with nonminimal couplings, II: Resonance Structure
This is the second in a series of papers on preheating in inflationary models
comprised of multiple scalar fields coupled nonminimally to gravity. In this
paper, we work in the rigid-spacetime approximation and consider field
trajectories within the single-field attractor, which is a generic feature of
these models. We construct the Floquet charts to find regions of parameter
space in which particle production is efficient for both the adiabatic and
isocurvature modes, and analyze the resonance structure using analytic and
semi-analytic techniques. Particle production in the adiabatic direction is
characterized by the existence of an asymptotic scaling solution at large
values of the nonminimal couplings, , in which the dominant
instability band arises in the long-wavelength limit, for comoving wavenumbers
. However, the large- regime is not reached until
. In the intermediate regime, with , the resonance structure depends strongly on wavenumber and
couplings. The resonance structure for isocurvature perturbations is distinct
and more complicated than its adiabatic counterpart. An intermediate regime,
for , is again evident. For large values of
, the Floquet chart consists of densely spaced, nearly parallel
instability bands, suggesting a very efficient preheating behavior. The
increased efficiency arises from features of the nontrivial field-space
manifold in the Einstein frame, which itself arises from the fields' nonminimal
couplings in the Jordan frame, and has no analogue in models with minimal
couplings. Quantitatively, the approach to the large- asymptotic
solution for isocurvature modes is slower than in the case of the adiabatic
modes.Comment: 46 pages, 23 figures. References added and minor edits made to match
published versio
Preheating after multifield inflation with nonminimal couplings, III: Dynamical spacetime results
This paper concludes our semi-analytic study of preheating in inflationary
models comprised of multiple scalar fields coupled nonminimally to gravity.
Using the covariant framework of paper I in this series, we extend the
rigid-spacetime results of paper II by considering both the expansion of the
universe during preheating, as well as the effect of the coupled metric
perturbations on particle production. The adiabatic and isocurvature
perturbations are governed by different effective masses that scale differently
with the nonminimal couplings and evolve differently in time. The effective
mass for the adiabatic modes is dominated by contributions from the coupled
metric perturbations immediately after inflation. The metric perturbations
contribute an oscillating tachyonic term that enhances an early period of
significant particle production for the adiabatic modes, which ceases on a
time-scale governed by the nonminimal couplings . The effective mass of
the isocurvature perturbations, on the other hand, is dominated by
contributions from the fields' potential and from the curvature of the
field-space manifold (in the Einstein frame), the balance between which shifts
on a time-scale governed by . As in papers I and II, we identify
distinct behavior depending on whether the nonminimal couplings are small
(), intermediate (),
or large ().Comment: 34 pages, 11 figures. References added and minor edits made to match
published versio
RELATIONSHIPS BETWEEN MARKET PRICE SIGNALS AND PRODUCTION MANAGEMENT: THE CASE OF FED BEEF
The beef industry in the United States consists of several distinct production levels ranging from the cow-calf producer at the lowest level to the final consumer. These sectors face varying levels of profitability, degrees of market power, conflicting goals, and price signals. Environmental regulations involve questions of what costs are involved, who is in a position to pay these costs, and whether market prices are capable of signaling different environmental practices. Understanding the relationships within the beef industry may allow researchers to fine-tune analyses of environmental issues in the beef industry.Beef, BMP, Cattle, Pricing, Livestock Production/Industries, Marketing,
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