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Astron. Astrophys. 359, 729-742 (2000)
2. Surface convection simulations
The 3D model atmospheres of the solar granulation which form the
basis for the spectral line calculations presented here have been
obtained with a 3D, time-dependent, compressible,
radiative-hydrodynamics code developed to study solar and stellar
surface convection (e.g. Nordlund & Stein 1990; Stein &
Nordlund 1989, 1998; Asplund et al. 1999). The hydrodynamical
equations of mass, momentum and energy conservation:
![[EQUATION]](img2.gif)
![[EQUATION]](img3.gif)
![[EQUATION]](img4.gif)
coupled to the equation of radiative transfer along a ray (in total
eight inclined rays):
![[EQUATION]](img5.gif)
are solved on a non-staggered Eulerian mesh with 200 x 200 x 82
gridpoints; simulations with resolutions 100 x 100 x 82, 50 x 50 x 82
and 50 x 50 x 41 have also been computed but have not been utilized
here since they are hampered by less good agreement between predicted
and observed line profiles (Asplund et al. 2000a). In these equations,
denotes the density,
the velocity,
the gravitational acceleration,
P the pressure, e the internal energy,
the viscous stress tensor,
the viscous dissipation,
the radiative heating/cooling rate,
the monochromatic intensity,
the corresponding source function,
the optical depth and
the absorption coefficient.
The physical dimension of the simulation box corresponds to
6.0 x 6.0 x 3.8 Mm of which about 1.0 Mm is located above continuum
optical depth unity. Again, initial solar simulations extending only
to heigths of 0.6 Mm suffered from problems in the predicted line
asymmetries for strong lines which was traced to the influence of the
outer boundary and that non-negligible optical depths were present in
the line cores already at the outermost layers. Though not completely
removed with the current more extended simulations, the problems have
largely disappeared as discussed further in Sect. 6 and 7. The depth
scale has been optimized to provide the best resolution where it is
most needed, i.e. in those layers with the steepest gradients in terms
of dT/dz and d /dz2,
which for the Sun occurs around the visible surface (which is defined
to have a geometrical depth Mm).
Through this procedure, sufficient depth coverage was also obtained in
the important optically thin layers. The simulation box covers about
13 pressure scale heights and 11 density scale heights in depth, while
the horizontal dimension is sufficient to include
granules at any time of the
simulation. The spatial derivatives are computed using third order
splines and the time-integration is a third-order leapfrog
predictor-corrector scheme (Hyman 1979; Nordlund & Stein 1990).
The code was stabilized using a hyper-viscosity diffusion algorithm
(Stein & Nordlund 1998) with the parameters determined from
standard hydrodynamical test cases, like the shock tube. In this
respect these parameters are not freely adjustable parameters for the
surface convection simulations. It is important to realize that
changing the numerical resolution in effect also varies the effective
viscosity, which shows that the convective efficiency and temperature
structure are independent on the adopted viscosity description
(Asplund et al. 2000a). Periodic horizontal boundary conditions and
open transmitting top and bottom boundaries were used in an identical
fashion to the simulations described by Stein & Nordlund (1998).
The influence of the boundary conditions on the results are
negligible. In particular the upper boundary has been placed at
sufficiently great heights not to disturb the line formation process
except for the cores of very strong lines, and the lower boundary is
located at large depths to ensure that the inflowing gas is isentropic
and featureless. No magnetic fields or rotation were included in the
present calculation.
In order to obtain a realistic atmospheric structure it is crucial
to correctly describe the internal energy of the gas and the energy
exchange between radiation and gas. For this purpose a
state-of-the-art equation-of-state (Mihalas et al. 1988), which
includes the effects of ionization, excitation and dissociation, has
been used. Since the solar photosphere is located in the layers where
the convective energy flux from the interior is transferred to
radiation, a proper treatment of the 3D radiative transfer is
necessary, which has been included under the assumption of LTE and
using detailed continuous (Gustafsson et al. 1975 and subsequent
updates) and line (Kurucz 1993) opacities. The 3D equation of
radiative transfer was solved at each timestep of the convection
simulation for eight inclined rays (2 µ-angles and 4
-angles) using the opacity binning
technique (Nordlund 1982). The four opacity bins correspond to
continuum, weak lines, intermediate strong lines and strong lines;
shorter tests with eight instead of four opacity bins revealed only
very minor differences in the resulting atmospheric structures. The
accuracy of the binning procedure was verified throughout the
simulation at regular intervals by solving the full monochromatic
radiative transfer (2748 wavelength points) in the 1.5D approximation
(i.e. treating each vertical column separately in the flux
calculations without considering the influence from neighboring
columns) and found to always agree within 1% in emergent flux.
It is noteworthy that the convection simulations contain no
adjustable free parameters besides those used to characterize the
stars: the effective temperature (or
equivalently, as adopted here, the entropy of the inflowing material
at the bottom boundary), the surface acceleration of gravity
log g and the chemical composition. The entropy at the lower
boundary was carefully adjusted prior to the simulation started in
order to reproduce the total solar luminosity. The solar surface
gravity (log [cgs]) was employed.
The chemical composition of the gas were taken from Grevesse &
Sauval (1998), in particular the Fe abundance used for the
equation-of-state and opacity calculations was
7.50 1. The line
opacities were interpolated to the adopted Fe abundance using the
standard Kurucz ODFs with log and
non-standard ODFs computed with log
and without any He (Kurucz 1997, private communication, cf. Trampedach
1997 for details of the procedure).
© European Southern Observatory (ESO) 2000
Online publication: July 7, 2000
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