Astron. Astrophys. 319, 648-654 (1997)
4. Mass loss
In contrast to the preceeding section we now are interested in
time-averaged quantities characterizing the mass loss, i.e. the mass
loss rates and the outflow velocities of the models. We investigate
their dependence on various physical parameters and compare the
modelling results to observations.
4.1. Parameter dependence
According to their influence on the models, the physical parameters
can be split into the following groups: ,
and determine the spatial
structure of the hydrostatic initial model and, consequently, (to a
certain extent) the background structure of the inner parts of the
dynamical model. P and characterize the
stellar pulsation (period and amplitude) and thus the levitation of
the atmosphere. Together these parameters largely determine the
conditions in the dust condensation zone while
controls the efficiency of grain formation and growth for given
temperature and density.
Models R7, R7C20 and R7C18 show the effects of different carbon
abundances while all other parameters are held constant. Comparing the
differences of and
between the models R7 and R7C20 as well as R7C20 and R7C18, the larger
change in the abundance of condensible carbon
in the first pair causes only a relatively small effect compared to
the second pair. This nicely demonstrates the non-linearities of the
dust condensation and wind mechanism. As long as the models are in a
parameter domain where both the dust condensation and radiative
driving work efficiently, depends only slightly
on . However, as the abundance of condensible
carbon is reduced it becomes more and more difficult to drive a
stellar wind and starts to decline
significantly with decreasing . The same effect
is seen in models R10, R10C18, R10C16 and R10C15, another series of
models with different values of but otherwise
identical parameters. Fig. 2 shows models R10C16 and R10C15 which
differ less than 20 percent in but exhibit a
completely different spatial structure. R10C16 shows a pronounced
shell-like structure associated with strong shock waves and complete
condensation occuring within the dust layers. R10C15 exhibits only
small variations in the various quantities plotted, the maximum degree
of condensation is far from complete and both the velocity and the
mass loss rate are significantly lower than in model R10C16.
![[FIGURE]](img30.gif) |
Fig. 2. Radial structure of models R10C16 (dashed) and R10C15 (full line): velocity a, density b, gas temperature c and degree of condensation d.
|
A moderate change of the pulsation period seems to have little
effect on the mass loss rate and the velocity as inferred from models
R5 and R5P or models R7C20 and R7C20P, respectively. The piston
velocity amplitude on the other hand may have considerable influence
on the mass loss as demonstrated by models R7 and R7U as well as
models R13 and R13U. The mass loss rate increases with
since (for given stellar parameters) the shock
waves caused by the pulsation determine the density in the dust
condensation and wind acceleration region and thus
.
Models R5 and R7, R7C20 and R10 as well as R10C16 and R13C16 show
how a combined change of and
due to an evolution along the AGB (with
, and
held constant and
changing accordingly) affects the mass loss. Since both increasing
and decreasing lead to
more extended atmospheres, the mass loss rate increases strongly. As
the mass loss at the same time reduces the
effect will even be larger. A comparison of models R7 and R7M or
models R13U and R13MU demonstrates how sensitively the mass loss
depends on .
For stellar winds which are driven by radiation pressure on dust a
close correlation should exist between the outflow velocity and the
strength of radiation pressure relative to gravitation. In Fig. 3
we have plotted as a function of the
quantity
![[EQUATION]](img39.gif)
which is proportional to the ratio of the radiation pressure term
and the gravitation term in the equation of motion. The dust opacity
is proportional to the dust-to-gas mass ratio
which is related to the degree of condensation
by
![[EQUATION]](img42.gif)
where , and
are the atomic masses of carbon, hydrogen and
helium and is the helium abundance.
( , ,
; ). We find a good
correlation of and
except for the models of series R5 which lie distinctly above the bulk
of the models. We interpret this as a consequence of a larger relative
importance of the momentum input by the piston in the models with
lower luminosities.
![[FIGURE]](img37.gif) |
Fig. 3. Outflow velocity as a function of a quantity characterizing the strength of radiation pressure relative to gravitation; symbols for models of series R: , , , ; models of series P are represented by triangles.
|
Note that in our sample of models no apparent correlation exists
between the outflow velocity and the mass loss rate. Depending on the
stellar parameters and pulsational properties a wide range of
combinations seems possible.
4.2. Comparison with observations
In Fig. 4 we have plotted the mass loss rate versus the
pulsation period to compare the modelling results with mean
-P relations deduced from observations
of Miras. We find good agreement with the results of Groenewegen
(1995, for carbon Miras) and Whitelock (1990, O-rich Miras in the
Galactic Bulge), especially when considering the fact that the scatter
in each of the observed relations is about 1 dex for a given period
and that a certain overlap exists between C- and O-rich objects. Note
that the range of possible mass loss rates for a given period can be
can be accounted for by differences of the pulsation amplitude (e.g.
models R13 and R13U, d) or the abundance of
condensible material (non-linearities in the dust formation and
radiative acceleration process; e.g. model series R10,
d).
![[FIGURE]](img54.gif) |
Fig. 4. Comparison of modelling results with mean -P relations deduced from observations: Groenewegen (1995, for carbon Miras; full line), Whitelock (1990, O-rich Miras in the Galactic Bulge; dashed line). Note that the scatter in the observed relations is about 1 dex for a given period.
|
The periods of model series R have been chosen according to the
rather well established P -L relation for O-rich Mira
variables (e.g. Feast et al. 1989, Whitelock 1993). In general, the
periods of C-rich Miras are expected to be somewhat longer at a given
luminosity than for their O-rich counterparts. However, as
demonstrated in the preceeding section the mass loss rate does not
depend critically on P. Using larger values of P for a
given model would then basically result in shifting the points plotted
in Fig. 4 to the right (higher periods) as inferred from models
R5/R5P and R7C20/R7C20P. Recently, Groenewegen & Whitelock (1996)
have derived a revised P -L relation
( ) for carbon Miras in the Galaxy. Interpolating
for the corresponding periods between models R5 and R5P
( 334 d) or R7C20 and R7C20P
( 463 d) leads to points that coincide with
the mean -P relation for carbon Miras of
Groenewegen (1995).
In Fig. 5 we compare our results to the well-known mass loss
law of Reimers (1975)
![[EQUATION]](img64.gif)
( , and
in solar units) which - directly or with
modifications - has been widely used in calculations of AGB evolution
though it was originally found for RGB stars. While at
the models lie within the range defined by the
parameter the mass loss in our models increases
much steeper with luminosity so that at there
is practically no overlap with the range given by Reimers' law. Recent
evolution calculations by Blöcker (1995) use different mass loss
laws for the RGB, AGB and post-AGB phases. During the AGB phase mass
loss is described by a modified version of Reimers' law based on the
dynamical models of Bowen (1988). An additional factor depending on
leads to a steeper increase of mass loss with
luminosity (about one order of magnitude for the range plotted in
Fig. 5) which is in much better agreement with the results
presented here.
![[FIGURE]](img62.gif) |
Fig. 5. Comparison of modelling results (only models of series R with are plotted) with the mass loss law of Reimers (1975) for and and corresponding stellar parameters (dotted lines).
|
© European Southern Observatory (ESO) 1997
Online publication: July 3, 1998
helpdesk.link@springer.de  |