182,709 research outputs found
The Structure of Close Binaries in Two Dimensions
The structure and evolution of close binary stars has been studied using the
two-dimensional (2D) stellar structure algorithm developed by Deupree (1995).
We have calculated a series of solar composition stellar evolution sequences of
binary models, where the mass of the 2D model is 8Msun with a point-mass 5Msun
companion. We have also studied the structure of the companion in 2D, by
considering the zero-age main-sequence (ZAMS) structure of a 5Msun model with
an 8Msun point-mass companion. In all cases the binary orbit was assumed to be
circular and co-rotating with the rotation rate of the stars. We considered
binary models with three different initial separations, a = 10, 14 and 20Rsun.
These models were evolved through central hydrogen burning or until the more
massive star expanded to fill its critical potential surface or Roche lobe. The
calculations show that evolution of the deep interior quantities is only
slightly modified from those of single star evolution. Describing the model
surface as a Roche equipotential is also satisfactory until very close to the
time of Roche lobe overflow, when the self gravity of the model about to lose
mass develops a noticeable aspherical component and the surface time scale
becomes sufficiently short that it is conceivable that the actual surface is
not an equipotential.Comment: 22 pages, 10 figures, accepted by Ap
Self-driven lattice-model Monte Carlo simulations of alloy thermodynamic
Monte Carlo (MC) simulations of lattice models are a widely used way to
compute thermodynamic properties of substitutional alloys. A limitation to
their more widespread use is the difficulty of driving a MC simulation in order
to obtain the desired quantities. To address this problem, we have devised a
variety of high-level algorithms that serve as an interface between the user
and a traditional MC code. The user specifies the goals sought in a high-level
form that our algorithms convert into elementary tasks to be performed by a
standard MC code. For instance, our algorithms permit the determination of the
free energy of an alloy phase over its entire region of stability within a
specified accuracy, without requiring any user intervention during the
calculations. Our algorithms also enable the direct determination of
composition-temperature phase boundaries without requiring the calculation of
the whole free energy surface of the alloy system
Exact sampling of self-avoiding paths via discrete Schramm-Loewner evolution
We present an algorithm, based on the iteration of conformal maps, that
produces independent samples of self-avoiding paths in the plane. It is a
discrete process approximating radial Schramm-Loewner evolution growing to
infinity. We focus on the problem of reproducing the parametrization
corresponding to that of lattice models, namely self-avoiding walks on the
lattice, and we propose a strategy that gives rise to discrete paths where
consecutive points lie an approximately constant distance apart from each
other. This new method allows us to tackle two non-trivial features of
self-avoiding walks that critically depend on the parametrization: the
asphericity of a portion of chain and the correction-to-scaling exponent.Comment: 18 pages, 4 figures. Some sections rewritten (including title and
abstract), numerical results added, references added. Accepted for
publication in J. Stat. Phy
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