130 research outputs found
Cosmic distance-duality as probe of exotic physics and acceleration
In cosmology, distances based on standard candles (e.g. supernovae) and
standard rulers (e.g. baryon oscillations) agree as long as three conditions
are met: (1) photon number is conserved, (2) gravity is described by a metric
theory with (3) photons travelling on unique null geodesics. This is the
content of distance-duality (the reciprocity relation) which can be violated by
exotic physics. Here we analyse the implications of the latest cosmological
data sets for distance-duality. While broadly in agreement and confirming
acceleration we find a 2-sigma violation caused by excess brightening of SN-Ia
at z > 0.5, perhaps due to lensing magnification bias. This brightening has
been interpreted as evidence for a late-time transition in the dark energy but
because it is not seen in the d_A data we argue against such an interpretation.
Our results do, however, rule out significant SN-Ia evolution and extinction:
the "replenishing" grey-dust model with no cosmic acceleration is excluded at
more than 4-sigma despite this being the best-fit to SN-Ia data alone, thereby
illustrating the power of distance-duality even with current data sets.Comment: 6 pages, 4 colour figures. Version accepted as a Rapid Communication
in PR
Theory of Stellar Oscillations
In recent years, astronomers have witnessed major progresses in the field of
stellar physics. This was made possible thanks to the combination of a solid
theoretical understanding of the phenomena of stellar pulsations and the
availability of a tremendous amount of exquisite space-based asteroseismic
data. In this context, this chapter reviews the basic theory of stellar
pulsations, considering small, adiabatic perturbations to a static, spherically
symmetric equilibrium. It starts with a brief discussion of the solar
oscillation spectrum, followed by the setting of the theoretical problem,
including the presentation of the equations of hydrodynamics, their
perturbation, and a discussion of the functional form of the solutions.
Emphasis is put on the physical properties of the different types of modes, in
particular acoustic (p-) and gravity (g-) modes and their propagation cavities.
The surface (f-) mode solutions are also discussed. While not attempting to be
comprehensive, it is hoped that the summary presented in this chapter addresses
the most important theoretical aspects that are required for a solid start in
stellar pulsations research.Comment: Lecture presented at the IVth Azores International Advanced School in
Space Sciences on "Asteroseismology and Exoplanets: Listening to the Stars
and Searching for New Worlds" (arXiv:1709.00645), which took place in Horta,
Azores Islands, Portugal in July 201
Influence of indomethacin on lens regeneration in the newt notophthalmus viridescens
Following lentectomy newts were injected with indomethacin in a variety of carrier solutions at doses ranging from 1.2â120 mg/kg body weight every other day for 15â17 days. The results show that injection of this drug according to the regimen used has no significant effect on regeneration of the lens. The data suggest, but do not prove, that prostaglandins may not play a major role in the early phases of lens regeneration in the newt.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47503/1/427_2004_Article_BF00848434.pd
Understanding Galaxy Formation and Evolution
The old dream of integrating into one the study of micro and macrocosmos is
now a reality. Cosmology, astrophysics, and particle physics intersect in a
scenario (but still not a theory) of cosmic structure formation and evolution
called Lambda Cold Dark Matter (LCDM) model. This scenario emerged mainly to
explain the origin of galaxies. In these lecture notes, I first present a
review of the main galaxy properties, highlighting the questions that any
theory of galaxy formation should explain. Then, the cosmological framework and
the main aspects of primordial perturbation generation and evolution are
pedagogically detached. Next, I focus on the ``dark side'' of galaxy formation,
presenting a review on LCDM halo assembling and properties, and on the main
candidates for non-baryonic dark matter. It is shown how the nature of
elemental particles can influence on the features of galaxies and their
systems. Finally, the complex processes of baryon dissipation inside the
non-linearly evolving CDM halos, formation of disks and spheroids, and
transformation of gas into stars are briefly described, remarking on the
possibility of a few driving factors and parameters able to explain the main
body of galaxy properties. A summary and a discussion of some of the issues and
open problems of the LCDM paradigm are given in the final part of these notes.Comment: 50 pages, 10 low-resolution figures (for normal-resolution, DOWNLOAD
THE PAPER (PDF, 1.9 Mb) FROM http://www.astroscu.unam.mx/~avila/avila.pdf).
Lectures given at the IV Mexican School of Astrophysics, July 18-25, 2005
(submitted to the Editors on March 15, 2006
New constraints on H_0 and Omega_M from SZE/X-RAY data and Baryon Acoustic Oscillations
The Hubble constant, , sets the scale of the size and age of the
Universe and its determination from independent methods is still worthwhile to
be investigated. In this article, by using the Sunyaev-Zel`dovich effect and
X-ray surface brightness data from 38 galaxy clusters observed by Bonamente
{\it{et al.}} (2006), we obtain a new estimate of in the context of a
flat CDM model. There is a degeneracy on the mass density parameter
() which is broken by applying a joint analysis involving the
baryon acoustic oscillations (BAO) as given by Sloan Digital Sky Survey (SDSS).
This happens because the BAO signature does not depend on . Our basic
finding is that a joint analysis involving these tests yield km s Mpc and
. Since the hypothesis of spherical geometry
assumed by Bonamente {\it {et al.}} is questionable, we have also compared the
above results to a recent work where a sample of triaxial galaxy clusters has
been considered.Comment: 8 pages, 4 figures, 1 table, accepted version in the general
relativity and gravitatio
Potential production and environmental effects of switchgrass and traditional crops under current and greenhouse-altered climate in the central United States: a simulation study
Testing dark energy beyond the cosmological constant barrier
Although well motivated from theoretical arguments, the cosmological constant
\emph{barrier}, i.e., the imposition that the equation-of-state parameter of
dark energy () is , seems to introduce
bias in the parameter determination from statistical analyses of observational
data. In this regard, \emph{phantom} dark energy or \emph{superquintessence}
has been proposed in which the usual imposition is relaxed.
Here, we study possible observational limits to the \emph{phantom} behavior of
the dark energy from recent distance estimates of galaxy clusters obtained from
interferometric measurements of the Sunyaev-Zel'dovich effect/X-ray
observations, Type Ia supernova data and CMB measurements. We find that there
is much \emph{observationally} acceptable parameter space beyond the
\emph{barrier}, thus opening the possibility of existence of more exotic forms
of energy in the Universe.Comment: 5 pages, 5 figures, to appear in Phys. Rev.
Constraints on cosmological models from strong gravitational lensing systems
Strong lensing has developed into an important astrophysical tool for probing
both cosmology and galaxies (their structure, formation, and evolution). Using
the gravitational lensing theory and cluster mass distribution model, we try to
collect a relatively complete observational data concerning the Hubble constant
independent ratio between two angular diameter distances from
various large systematic gravitational lens surveys and lensing by galaxy
clusters combined with X-ray observations, and check the possibility to use it
in the future as complementary to other cosmological probes. On one hand,
strongly gravitationally lensed quasar-galaxy systems create such a new
opportunity by combining stellar kinematics (central velocity dispersion
measurements) with lensing geometry (Einstein radius determination from
position of images). We apply such a method to a combined gravitational lens
data set including 70 data points from Sloan Lens ACS (SLACS) and Lens
Structure and Dynamics survey (LSD). On the other hand, a new sample of 10
lensing galaxy clusters with redshifts ranging from 0.1 to 0.6 carefully
selected from strong gravitational lensing systems with both X-ray satellite
observations and optical giant luminous arcs, is also used to constrain three
dark energy models (CDM, constant and CPL) under a flat universe
assumption. For the full sample () and the restricted sample ()
including 36 two-image lenses and 10 strong lensing arcs, we obtain relatively
good fitting values of basic cosmological parameters, which generally agree
with the results already known in the literature. This results encourages
further development of this method and its use on larger samples obtained in
the future.Comment: 22 pages, 5 figures, 2 tables; accepted by JCA
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative
Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patientsâ predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm's parameters and data-related modeling choices are also both crucial and challenging. In this paper we propose a novel framework to numerically evaluate strategies for handling missing data in the context of statistical analysis, with a particular focus on multiple imputation techniques. We demonstrate the feasibility of our approach on a large cohort of type-2 diabetes patients provided by the National COVID Cohort Collaborative (N3C) Enclave, where we explored the influence of various patient characteristics on outcomes related to COVID-19. Our analysis included classic multiple imputation techniques as well as simple complete-case Inverse Probability Weighted models. Extensive experiments show that our approach can effectively highlight the most promising and performant missing-data handling strategy for our case study. Moreover, our methodology allowed a better understanding of the behavior of the different models and of how it changed as we modified their parameters. Our method is general and can be applied to different research fields and on datasets containing heterogeneous types
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