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3. A sample of steady state models

In the following we present the resulting steady state solutions for different stellar parameters and mass loss rates. Three sets of models are considered, the first assuming oxygen-rich chemistry with silicate dust (Figs. 2 (click here) to 5 (click here), Tables 2 to 5), the other two being based on carbon-rich chemistry with graphite dust (Figs. 6 (click here) to 8 (click here), Tables 6 to 8) and grains of amorphous carbon (Figs. 9 (click here) to 11 (click here), Tables 9 to 11), respectively. The figures show the resulting steady state velocity field (gas and dust component) and the corresponding combined spectral energy distribution of the star and the dusty outflow for a representative sample of models. Details about the stellar parameters used and other input data are given in the figure captions. Additional information can be found in the tables which list the basic results for all the steady state models investigated here. For each set of input parameters, two runs were carried out, one including the effects of gas pressure in the equations of motion, the other assuming no gas pressure. Note that for some examples, the adopted mass loss rates are so high that a significant fraction of the stellar mass is expelled during the flight time of a gas parcel through the wind shell. In these cases, steady state models are certainly not adequate.

3.1. Velocity structure

From the analysis of the present sample of steady state models we can draw the following conclusions about the properties of dust-driven winds around late type stars:

a) The acceleration of the dust and gas takes place in a narrow region close to the dust formation point (tex2html_wrap_inline3621). Although in general tex2html_wrap_inline3623 is not constant but depends on r, this is in qualitative agreement with Eq. (17 (click here)) which suggests that 90% of the terminal velocity is reached at tex2html_wrap_inline3627.

b) For low mass loss rates, the drift velocity of the dust relative to the gas, tex2html_wrap_inline3629, may amount to several times the gas velocity and reduces the effective dust opacity (per unit volume) by a factor u/w. In general, tex2html_wrap_inline3633 (used by e.g. Le Sidaner & Le Bertre 1996) is a reasonable approximation only for low to moderate mass loss rates, while tex2html_wrap_inline3635 becomes valid for very high mass loss rates.

c) For high mass loss rates, i.e. large (flux-averaged) optical depths, the momentum flux in the outflow, tex2html_wrap_inline3637 can exceed the momentum flux of the photons, tex2html_wrap_inline3639. The ratio of these quantities, tex2html_wrap_inline3641, is listed in Tables 2 to 11 and can be seen to exceed unity in a number of cases. In fact, several stars with tex2html_wrap_inline3643 are known and it is now clear that there is no physical reason preventing the outflow from crossing the tex2html_wrap_inline3645 border (see e.g. Nezter & Elitzur 1993; Habing et al. 1994; or Ivezić & Elitzur 1995 for a discussion of this issue).

d) As expected, the outflow velocity, tex2html_wrap_inline3647, depends on stellar mass, luminosity, grain properties and dust abundance. But in contrast to our simple gray model (cf. Eq. 17 (click here)), tex2html_wrap_inline3647 depends also on the stellar effective temperature, tex2html_wrap_inline3387, and on the mass loss rate. This is because the extinction cross section of realistic dust grains is strongly wavelength dependent (see Fig. 1 (click here)), and hence the flux-averaged opacity, tex2html_wrap_inline3583, the quantity determining the net radiative acceleration, depends on the spectral energy distribution of the stellar radiation (tex2html_wrap_inline3387) and on the degree of reprocessing of the stellar radiation by the dust shell, which increases with the optical depth of the dust shell, i.e. with the mass loss rate.

e) The terminal outflow velocity, tex2html_wrap_inline3647, is of the order of the escape velocity at the dust formation point, tex2html_wrap_inline3659. Since
eqnarray1503
(see also Eq. 17 (click here)) with the effective tex2html_wrap_inline3623 given by
eqnarray1508
(essentially the average tex2html_wrap_inline3623 in the acceleration region), outflow velocities in the range 1 to 3 times tex2html_wrap_inline3659 imply effective tex2html_wrap_inline3623s in the range 2 to 10.

f) It has often been argued that the acceleration due to the gas pressure gradient may be neglected because the outflow is highly supersonic (e.g. Habing et al. 1994). However, this condition is not really fulfilled by the relatively slow outflows around AGB stars where the ratio tex2html_wrap_inline3671 hardly exceeds 10.

The gas pressure term tex2html_wrap_inline3673 can safely be neglected if it is much smaller than the advection term tex2html_wrap_inline3675 over most of the acceleration region. For the wind shells investigated here, the ratio of pressure term to advection term can be evaluated analytically assuming a velocity structure according to Eq. (17 (click here)) with a gas temperature falling like r-1/2. The result is
eqnarray1520
where x=r/r1 is the dimensionless radial coordinate, and tex2html_wrap_inline3681 is the ratio of initial to final gas velocity, which approximately equals the inverse ratio of outflow velocity to sound speed at the inner radius of the shell. Near x=1, Y is close to 1 since the flow starts with tex2html_wrap_inline3687 at the dust formation point r1. For small tex2html_wrap_inline3691, Y decreases sharply as x increases and becomes negligible for x > 1.2, so the overall effect of the gas pressure term is small. However, the situation is different for larger tex2html_wrap_inline3699 where Y attains a minimum near x=1.7 and increases again for larger x. In the case tex2html_wrap_inline3707, for example, Y is larger than 0.35 everywhere, so the gas pressure term is not at all negligible. Indeed, comparison of the runs with and without the effects of gas pressure shows that, in general, the gas pressure term leads to significantly higher outflow velocities (see Figs. 15 (click here), 16 (click here), 17 (click here) and tables). Only if the radiative acceleration is strong enough to produce highly supersonic outflows (tex2html_wrap_inline3711 30 km/s) the gas pressure term becomes unimportant. This is what we see in our models with the highest luminosities (``supergiant'' models E and F, see Tables 4 and 5 as well as Fig. 15 (click here)).

g) For decreasing mass loss rate, the coupling between dust and gas diminishes and the drift velocity increases monotonically. Consequently, the effective tex2html_wrap_inline3623 decreases because of the factor u/w (cf. Eqs. (15 (click here)), (16 (click here))). The minimum mass loss rate is reached for tex2html_wrap_inline3717. No dust driven wind is possible below this critical mass loss rate. We have refrained from calculating these minimum mass loss rates from our models because we found it to be very sensitive to the assumed gas pressure (see models C6_m and C6_n, Table 2 or models J6_m and J6_n, Table 9). Lower mass loss rates can be sustained when gas pressure supports the outflow. In addition, it must be kept in mind that some kind of shock wave pressure is generated by the stellar pulsation which will reduce the minimum mass loss rate even further.

h) It has been noted above that the outlow velocity is independent of tex2html_wrap_inline3389 for gray dust (cf. Eq. 17 (click here)), so there is no maximum possible mass loss rate. However, the situation is different for realistic dust opacities which strongly decrease with wavelength (cf. Fig. 1 (click here)). As the mass loss rate is increased the optical depth of the dusty envelope is increased as well, and the maximum of the spectral energy distribution of the radiation, as seen by a dust particle in the acceleration region of the shell, is shifted to longer wavelengths. As a consequence, the flux averaged extinction cross section (cf. Eq. 5 (click here)) is decreased and the effective tex2html_wrap_inline3623 is reduced (cf. Eqs. (15 (click here)), (16 (click here))). This mechanism puts an upper limit to the mass loss rate, the quantitative value of which depends on the stellar parameters. Again, we find this limit to be sensitive the the assumptions about the gas pressure. For example, model I1 can drive a mass loss of tex2html_wrap_inline3723 tex2html_wrap_inline3423/yr only if supported by gas pressure (see Table 8).

i) Test calculations have confirmed that the assumption of complete momentum coupling is an excellent approximation. Under this assumption, the drift velocity, tex2html_wrap_inline3629 is given by (see e.g. Tielens 1983)
eqnarray567

j) We note that for the parameters used in this study, the resulting gas outflow velocities are in the range 5 to 40 km/s, covering the range of observed outflow velocities.

3.2. Spectral energy distributions

Along with the velocity structure, Figs. 2 (click here) to 11 (click here) show the corresponding stellar input spectrum (dot-dashed) and the emergent spectral energy distribution (SED) of the star plus circumstellar dust shell (solid line). From the analysis of this sample of spectra we infer the following properties.

a) The shape of the SEDs changes monotonically with mass loss rate, i.e. with the optical depth of the dust shell. Oxygen stars with low mas loss rates show the characteristic silicate features (tex2html_wrap_inline3739 and tex2html_wrap_inline3741m) in emission, while the overall shape of the SED closely corresponds to that of the central star. For intermediate mass loss rates, the SED is shifted to the red through processing of photons by the dust shell, and self absorption begins to become important, noticeable by a central absorption in the main silicate feature which is, however, still seen in emission (see model D3_m, center of Fig. 3 (click here)). For even higher mass loss rates, the stellar SED is no longer visible (IR objects) and the silicate features turn into strong absorption.

b) Analogous changes occur for Carbon stars, although the lack of features in the opacity of carbon-based grains makes it more difficult to detect subtle differences in the spectra of models with slightly different mass loss rates.

c) For given dust properties, the shape of the SED is determined, to a first approximation, only by the total optical depth of the dust shell (at some reference wavelength), and is essentially independent of the stellar luminosity (see also Ivezić & Elitzur 1995).

d) In principle, the sequences of models presented here can be used to estimate the mass loss rates of Oxygen and Carbon AGB stars by finding the model which most closely matches the observed SED together with the observed (gas) outflow velocity. The real mass loss rate may differ from that of the model identified in this way if the star to be analyzed has a different luminosity or dust-to-gas ratio than assumed in the model. However, it can be shown that in this case the scaling relation
eqnarray1559
can be used to derive the actual mass loss rate if tex2html_wrap_inline3747 and tex2html_wrap_inline3557 are known independently (see e.g. Eq. (1) in Groenewegen 1995).

e) To provide a reference for comparison with the time-dependent calculations to be presented in a forthcoming paper (for first results see Schönberner et al. 1997a,b; Steffen et al. 1997), we have calculated the positions of all of our steady state models in two different IRAS two-color-diagrams (tex2html_wrap_inline3751m)/tex2html_wrap_inline3753m) versus tex2html_wrap_inline3753m)/tex2html_wrap_inline3757m) and tex2html_wrap_inline3759m)/tex2html_wrap_inline3751m) versus tex2html_wrap_inline3753m)/tex2html_wrap_inline3757m), see Figs. 12 (click here) to 14 (click here)). The IRAS colors were computed by convolution of the emergent synthetic spectrum with the IRAS band profiles, taking into account the wavelength dependence of the spectra assumed by the IRAS team (i.e. tex2html_wrap_inline3767, see the IRAS Explanatory Supplement 1985). The models with the lowest mass loss rates are found to the left of these diagrams, while the models with the highest mass loss rates are located at far right. We note that for fixed dust properties, all models fall on a simple color-color relation with tex2html_wrap_inline3389 (or optical depth) as the only parameter, in agreement with the results presented by Ivezić & Elitzur (1995, see their Fig. 6). These diagrams also demonstrate the effect of the gas pressure on the computed IRAS colors, which is clearly noticeable for most of the AGB stars while it is negligible for the supergiants.

f) For a number of cases we have computed ``simple'' comparison models in order to illustrate the difference between synthetic spectra computed from these models and those resulting from our self-consistent hydrodynamical approach. The simple models are constructed by assuming a constant outflow velocity equal to the terminal gas outflow velocity of the respective hydrodynamical model (i.e. tex2html_wrap_inline3771), and ignoring dust drift (i.e. tex2html_wrap_inline3773). The comparison of the SEDs is shown in Figs. 3 (click here), 6 (click here), and 9 (click here). We were surprised to see the relatively close agreement between both sets of models. Obviously, the effects of assuming a constant outflow velocity and neglecting the dust drift velocity cancel to some degree. We conclude that ``simple'' models may be used for the analysis of observed SEDs without introducing large systematic errors, provided the adopted constant outflow velocity equals the observed one.


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