Astron. Astrophys. 323, 449-460 (1997)
Appendix: brightness distribution calculation of the model dust shell
The brightness distribution of a double dust shell is a simple
superposition of those of two single shells in the optically thin
limit. We therefore describe here the calculation of the brightness of
a single shell for simplicity. The brightness of a model dust shell
with spherical symmetry as a function of projected distance b
from the central star at frequency ,
, is calculated under the assumption of the
optically thin limit by
![[EQUATION]](img83.gif)
![[EQUATION]](img84.gif)
![[EQUATION]](img85.gif)
where and l denote the grain
absorption cross section per unit mass of the grain material at
frequency , grain mass density, black body
function at , dust temperature, radial distance
from the central star, and displacement along the line of sight from
the plane which contains the center and is normal to the line of
sight, respectively. The variables b and l are related
to the radial distance from the star to the relevant point r
through
![[EQUATION]](img87.gif)
For the definition of , and r see
Figure 2. In the figure the plane which contains both the line of
sight and the center of the shell is indicated. The integration
interval is determined by the shell inner and outer radii,
and as
![[EQUATION]](img91.gif)
![[EQUATION]](img92.gif)
![[EQUATION]](img93.gif)
We define here that the grain mass density is a power law function
of radial distance from the central star via
![[EQUATION]](img94.gif)
We assume that the grain absorption cross section varies as a power
law function of , and that the cross section is
related to other quantities through
![[EQUATION]](img95.gif)
where express the absorption efficiency at
frequency , the average grain radius, and the
average density of the grain material, respectively. This frequency
dependence of the cross section allows us to calculate analytically
the temperature distribution throughout the shell for the grains in a
steady state (Sopka et al. 1985),
![[EQUATION]](img98.gif)
and is given by
![[EQUATION]](img100.gif)
![[EQUATION]](img101.gif)
![[EQUATION]](img102.gif)
where , and c are Planck constant,
Boltzman constant, observed stellar flux density at frequency
, and the speed of light, respectively. We here
normalize the temperature law at the surface of the star. Note that
this does not necessarily mean that grains are formed at the surface
of the star. In the present paper, we also assume that the spectral
energy distribution of the star is approximated by the black body
function for the star's effective temperature. Then, we have
![[EQUATION]](img104.gif)
where is the effective temperature of the
star. Note that the temperature distribution is dependent on only the
exponent of the opacity law. The absolute value of
is irrelevant. This means that
is relevant only to the mass loss rate and mass
in the shell. To adjust the calculated brightness distribution to the
HIRAS images, we convolved it with a gaussian beam as
![[EQUATION]](img107.gif)
![[EQUATION]](img108.gif)
where we chose a gaussian pattern with a half-power beam width
as the convolution function
.
We made the above calculations for the inner and outer dust shells
independently, then add the two distributions to obtain
![[EQUATION]](img111.gif)
To include the contribution from the central point source, we put a
point source which has a total flux density of
at frequency smeared by the same gaussian
pattern which we used in the above convolution expressed as
![[EQUATION]](img113.gif)
Adding the two brightness distributions
![[EQUATION]](img114.gif)
we obtain the total brightness which can be compared with the HIRAS
image. In order to compare the model predictions with the obtained
HIRAS results, we further calculated mean brightness in annular rings
for a run of centered at the star using the
model brightness as,
![[EQUATION]](img116.gif)
where 2 is the width of the rings. The same
procedure was applied to the HIRAS images to obtain
by replacing with
which expresses an direct HIRAS image.
In order to find the best fitted models, we minimise the
quantity,
![[EQUATION]](img121.gif)
where denotes the internal error estimated
with the HIRAS processor, by changing free parameters
( , and ).
and are flux densities
at the frequencies corresponding to the wavelengths of
60µm and 100µm, respectively. Subscripts
in and out show that the quantities are of the inner and
outer shells, respectively. We fixed =2 in the
present study. We do not leave the shell thickness free as well. We
examined several cases of shell thickness instead, because the model
brightness profile is rather insensitive to the position of the shells
outer radii. Afterwards, we calculate the dust mass loss rate and
total dust mass in each shell assuming a dust outflow velocity of
21 km s-1 by
![[EQUATION]](img127.gif)
![[EQUATION]](img128.gif)
![[EQUATION]](img129.gif)
![[EQUATION]](img130.gif)
Finally we transformed those quantities to the total mass loss rate
and total mass using a dust/gas mass ratio and assuming that the gas
outflow velocity is the same as the dust outflow velocity via
![[EQUATION]](img131.gif)
![[EQUATION]](img132.gif)
where is the dust-to-gas mass ratio.
© European Southern Observatory (ESO) 1997
Online publication: June 5, 1998
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