43,769 research outputs found
The rotation of very low-mass stars and brown dwarfs
The evolution of angular momentum is a key to our understanding of star
formation and stellar evolution. The rotational evolution of solar-mass stars
is mostly controlled by magnetic interaction with the circumstellar disc and
angular momentum loss through stellar winds. Major differences in the internal
structure of very low-mass stars and brown dwarfs -- they are believed to be
fully convective throughout their lives, and thus should not operate a
solar-type dynamo -- may lead to major differences in the rotation and activity
of these objects. Here, we report on observational studies to understand the
rotational evolution of the very low-mass stars and brown dwarfs.Comment: 8 pages, 5 figures, Proceedings for IAU Symposium No. 243, 2007,
'Star-disk interaction in young stars
Mira science with interferometry: a review
Model-predicted and observed properties of the brightness distribution on
M-type Mira disks are discussed. Fundamental issues of limb-darkening and
diameter definition, of assigning observational data to diameter-type
quantities and of interpreting such quantities in terms of model diameters are
outlined. The influence of model properties upon interpretation of measured
data is clarified. The dependence of the centre-to-limb variation (CLV) of
intensity on wavelength, on stellar parameters and on variablity phase and
cycle may be used for analyzing the geometrical and physical structure of the
Mira atmosphere, for determining fundamental stellar parameters, and for
investigating the quality of models. Desirable future observations include
simultaneous observations in different spectral features at different phases
and cycles, observation of the position of the shock front and observation of
the time- and wavelength-dependence of deviations from spherical symmetry.Comment: 9 pages, no figure
Rotation and variability of young very low mass objects
Variability studies are an important tool to investigate key properties of
stars and brown dwarfs. From photometric monitoring we are able to obtain
information about rotation and magnetic activity, which are expected to change
in the mass range below 0.3 solar masses, since these fully convective objects
cannot host a solar-type dynamo. On the other hand, spectroscopic variability
information can be used to obtain a detailed view on the accretion process in
very young objects. In this paper, we report about our observational efforts to
analyse the variability and rotational evolution of young brown dwarfs and very
low mass stars.Comment: 4 pages, 4 figures, proceedings for the workshop "Ultralow-mass star
formation and evolution", to be published in AN (revised version
Derivatives and Default Risk
Upstream producers that possess market power, sell forwards with a lengthy duration to regional electricity companies (REC). As part of the liberalization of the electricity market, RECs have been privatized and exposed to a possible bankruptcy threat if spot prices have fallen below
their expected value. The downstream firmsâ expected profit is larger, when it is less likely to be bailed out, the effect on upstream profits is ambiguous while consumers loose. Options are less welfare increasing than forwards, but the difference is minimal. In the presence of bankruptcy, options are the preferred welfare maximizing market instrument
Node similarity as a basic principle behind connectivity in complex networks
How are people linked in a highly connected society? Since in many networks a
power-law (scale-free) node-degree distribution can be observed, power-law
might be seen as a universal characteristics of networks. But this study of
communication in the Flickr social online network reveals that power-law
node-degree distributions are restricted to only sparsely connected networks.
More densely connected networks, by contrast, show an increasing divergence
from power-law. This work shows that this observation is consistent with the
classic idea from social sciences that similarity is the driving factor behind
communication in social networks. The strong relation between communication
strength and node similarity could be confirmed by analyzing the Flickr
network. It also is shown that node similarity as a network formation model can
reproduce the characteristics of different network densities and hence can be
used as a model for describing the topological transition from weakly to
strongly connected societies.Comment: 6 pages in Journal of Data Mining & Digital Humanities (2015)
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