1,897 research outputs found
Selected topics in the evolution of low-mass stars
Low-mass stars play a key role in many different areas of astrophysics. In
this article, I provide a brief overview of the evolution of low-mass stars,
and discuss some of the uncertainties and problems currently affecting low-mass
stellar models. Emphasis is placed on the following topics: the solar abundance
problem, mass loss on the red giant branch, and the level of helium enrichment
associated to the multiple populations that are present in globular clusters.Comment: 10 pages, 5 figures. Invited review, to appear in "Ageing low-mass
stars: from red giants to white dwarfs", LIAC40 proceeding
A Semi-Empirical Study of the Mass Distribution of Horizontal Branch Stars in M3 (NGC 5272)
Horizontal branch (HB) stars in globular clusters offer us a probe of the
mass loss mechanisms taking place in red giants. For M3 (NGC 5272), different
shapes for the HB mass distribution have been suggested, including Gaussian and
sharply bimodal alternatives. Here we study the mass distribution of HB stars
in M3 by comparing evolutionary tracks and photometric observations. Our
approach is thus of a semi-empirical nature, describing as it does the mass
distribution that is favored from the standpoint of canonical stellar
evolutionary predictions for the distribution of stars across the CMD. We
locate, for each individual HB star, the evolutionary track whose distance from
the star's observed color and magnitude is a minimum. Artificial tests reveal
that our method would be able to detect a bimodal mass distribution, if
present. We study the impact of different procedures for taking into account
the evolutionary speed, and conclude that they have but a small effect upon the
inferred mass distribution. We find that a Gaussian shape, though providing a
reasonable first approximation, fails to account for the detailed shape of M3's
HB mass distribution: the latter may have skewness and kurtosis that deviate
slightly from a perfectly Gaussian solution. Alternatively, the excess of stars
towards the wings of the distribution may also be accounted for in terms of a
bimodal distribution in which both the low- and the high-mass modes are normal,
the former being significantly wider than the latter. However, we also show
that the inferred distribution of evolutionary times is inconsistent with
theoretical expectations. This result is confirmed on the basis of three
independent sets of HB models, suggesting that the latter underestimate the
effects of evolution away from the zero-age HB. (abridged)Comment: 12 pages, 13 figures. A&A, in pres
Kurtosis and Large--Scale Structure
We discuss the non--linear growth of the excess kurtosis parameter of the
smoothed density fluctuation field ,
S_4\equiv[\lan\delta^{\,4}\ran-3\lan\delta^{\,2}\ran^2]/
\lan\delta^{\,2}\ran^3 in an Einstein--de Sitter universe. We assume Gaussian
primordial density fluctuations with scale--free power spectrum and analyze the dependence of on primordial spectral index ,
after smoothing with a Gaussian filter. As already known for the skewness ratio
, the kurtosis parameter is a {\it decreasing function} of , both in
exact perturbative theory and in the Zel'dovich approximation. The parameter
provides a powerful statistics to test different cosmological scenarios.Comment: 11 pages in Latex (plus 1 figure), SISSA 127/93/
Velocity Differences as a Probe of Non--Gaussian Density Fields
We examine the multi--point velocity field for non--Gaussian models as a
probe of non--Gaussian behavior. The two--point velocity correlation is not a
useful indicator of a non--Gaussian density field, since it depends only on the
power spectrum, even for non--Gaussian models. However, we show that the
distribution of velocity differences \bfv_1 - \bfv_2, where \bfv_1 and
\bfv_2 are measured at the points \bfr_1 and \bfr_2, respectively, is a
good probe of non--Gaussian behavior, in that p(\bfv_1 - \bfv_2) tends to be
non--Gaussian whenever the density field is non--Gaussian. As an example, we
examine the behavior of p(\bfv_1 - \bfv_2) for non--Gaussian seed models, in
which the density field is the convolution of a distribution of points with a
set of density profiles. We apply these results to the global texture model.Comment: 18 pages, LATEX style, SISSA-37-94-A, OSU-TA-4-9
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