9,589 research outputs found
Study of sdO models. Pulsation Analysis
We have explored the possibility of driving pulsation modes in models of sdO
stars in which the effects of element diffusion, gravitational settling and
radiative levitation have been neglected so that the distribution of iron-peak
elements remains uniform throughout the evolution. The stability of these
models was determined using a non-adiabatic oscillations code. We analysed 27
sdO models from 16 different evolutionary sequences and discovered the first
ever sdO models capable of driving high-radial order g-modes. In one model, the
driving is by a classical kappa-mechanism due to the opacity bump from
iron-peak elements at temperature ~200,000 K. In a second model, the driving
result from the combined action of kappa-mechanisms operating in three distinct
regions of the star: (i) a carbon-oxygen partial ionization zone at temperature
~2 10^6 K, (ii) a deeper region at temperature ~2 10^7 K, which we attribute to
ionization of argon, and (iii) at the transition from radiative to conductive
opacity in the core of the star.Comment: 13 pages, 19 figures, accepted for publication in MNRAS, 2009
September 1
Exponential localization of singular vectors in spatiotemporal chaos
In a dynamical system the singular vector (SV) indicates which perturbation
will exhibit maximal growth after a time interval . We show that in
systems with spatiotemporal chaos the SV exponentially localizes in space.
Under a suitable transformation, the SV can be described in terms of the
Kardar-Parisi-Zhang equation with periodic noise. A scaling argument allows us
to deduce a universal power law for the localization of the
SV. Moreover the same exponent characterizes the finite-
deviation of the Lyapunov exponent in excellent agreement with simulations. Our
results may help improving existing forecasting techniques.Comment: 5 page
Logarithmic bred vectors in spatiotemporal chaos: structure and growth
Bred vectors are a type of finite perturbation used in prediction studies of
atmospheric models that exhibit spatially extended chaos. We study the
structure, spatial correlations, and the growth- rates of logarithmic bred
vectors (which are constructed by using a given norm). We find that, after a
suitable transformation, logarithmic bred vectors are roughly piecewise copies
of the leading Lyapunov vector. This fact allows us to deduce a scaling law for
the bred vector growth rate as a function of their amplitude. In addition, we
relate growth rates with the spectrum of Lyapunov exponents corresponding to
the most expanding directions. We illustrate our results with simulations of
the Lorenz '96 model.Comment: 8 pages, 8 figure
Study of sdO models: mode trapping
We present the first description of mode trapping for sdO models. Mode
trapping of gravity modes caused by the He/H chemical transition is found for a
particular model, providing a selection effect for high radial order trapped
modes. Low- and intermediate-radial order {\em p}-modes (mixed modes with a
majority of nodes in the P-mode region) are found to be trapped by the C-O/He
transition, but with no significant effects on the driving. This region seems
to have also a subtle effect on the trapping of low radial order {\em g}-modes
(mixed modes with a majority of nodes in the G-mode region), but again with no
effect on the driving. We found that for mode trapping to have an influence on
the driving of sdO modes (1) the mode should be trapped in a way that the
amplitude of the eigenfunctions is lower in a damping region and (2) in this
damping region significant energy interchange has to be produced.Comment: 10 pages, 13 figures, accepted for publication in MNRAS, 2009
December 1
Labor demand and information technologies: evidence for Spain, 1980-2005
Utilizando la base de datos EU KLEMS, se contrasta la hipótesis de complementariedad entre habilidad y capital en los distintos sectores productivos en España en el periodo 1980-2005. Se analizan tres tipos de trabajadores clasificados según su nivel de habilidad sea alto, medio o bajo. Los activos de capital se van a clasificar entre activos TIC (tecnologías de la información y la comunicación) y activos no-TIC. La adquisición y el uso de activos TIC son costosos pero ha ido disminuyendo en el periodo en consideración en términos relativos a otros activos y al factor trabajo. El principal resultado que se obtiene es que existe un grado de sustituibilidad entre los trabajadores y los activos TIC a medida que la habilidad del trabajador va aumentando. De hecho, los activos TIC son muy complementarios con los trabajadores de alta habilidad. A lo largo del periodo analizado, la fracción de trabajadores con habilidad media y alta ha crecido un 21% y un 12%, respectivamente, en detrimento de los trabajadores de baja habilidad. Después de descomponer estos cambios, se descubre que existe un ajuste dentro de los sectores más que un ajuste del trabajo entre sectores.capital-skill complementarity, ICT, translog cost function, elasticity of substitution.
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