Astron. Astrophys. 344, 607-613 (1999)
4. The wind structure of SY Mus
The column densities of neutral hydrogen determined as function of
the orbital phase from the observed spectra, allow to investigate the
cool wind structure of the giant component. This was first shown by
V91 in a pioneer study of the symbiotic binary EG And. The analysis of
the observed column densities led Vogel to determine an empirical
velocity law for the cool wind in that system. The law turned out to
be remarkable different from the
" -laws" usually employed to describe
stellar winds. In fact, it is characterized by low velocity values
near the giant component followed by a very rapid increase at a
distance of approximately 3 giant's stellar radii. The emission lines
in the UV spectra of SY Mus are evidence that some portion of the
giant's stellar wind is ionized by the radiation stemming from the hot
component. The modeling of EG And by V91 indicated nevertheless that
the assumption of wind neutrality is a fairly good first approximation
for the study of the red giant's wind. Assuming further that the wind
is spherically symmetric and that the eccentricity of the system is
negligible (Schmutz et al., 1994) one can write for the column
density
![[EQUATION]](img66.gif)
where b is the impact parameter, or projected separation
between the components, and is the
wind velocity at distance r from the giant's center. In this
equation b and r are adimensional quantities, expressed
in units of the giant's radius R. Similarly the velocity
is expressed in units of the
terminal velocity . The dimension of
the parameter a, also called parameter of the system, given
by
![[EQUATION]](img69.gif)
where is the mass-loss rate of
the red giant and µmH is the average
molecular weight, determines therefore the physical dimensions of the
hydrogen column density, (b).
The impact parameter, b, is related to the inclination angle
i of the orbital plane and the phase
by the formula
![[EQUATION]](img71.gif)
p being the separation (in units of R) between the
components of the binary. For SY Mus we employ p=4.3 (Schmutz
et al., 1994) and i=95.8 (Harries & Howarth, 1996a). In
order to find the velocity from the
observed column densities , Eq. (4)
has to be inverted. This is an integral equation of Fredholm's type
but it can be brought to Abel's type by means of suitable
transformations. Such inversion problems are frequently ill-posed and
demand special methods for their investigation. Specifically, the
empirical determination of stellar wind velocity by means of Eq. (4)
has been discussed by Kessler (1991) and KDV93 who have developed
procedures for its inversion. In Kessler (1991) the sought-for
function (the "source function") is approximated by a piecewise linear
function and the velocity computed numerically for each value of the
column density (the "data function"). In KDV93 the inversion is
accomplished through explicit diagonalization of the Abel's operator.
In this method the "data function" is represented by a Taylor
expansion and the velocity field is then obtained from the inverted
Abel's operator. We shall employ both approaches to determine the cool
wind velocity profile of SY Mus and the resulting column densities to
be compared with the observations.
For the velocity obtained from the numerical inversion of the
observed column densities we have found that a convenient analytical
description is provided by the expression
![[EQUATION]](img73.gif)
where and
are the complete and incomplete
gamma functions respectively and are given by
![[EQUATION]](img76.gif)
and
![[EQUATION]](img77.gif)
For a fixed value of the parameter of the system a, the
parameters A and B in Eq. (7) can be chosen so as to
obtain the best description of the velocity. The parameters A
and B fix also the coordinates (r0, v0)
of the inflection point:
![[EQUATION]](img78.gif)
![[EQUATION]](img79.gif)
In Fig. 4 we show the velocity profile obtained in this way with
A=14.20 and B=3.383. Of course, it must be remembered that this
behavior is an extrapolation due to the adopted form of the function
and to its fitting to the observed points in the region
.
![[FIGURE]](img83.gif) |
Fig. 4. Wind velocity profile from Eq. (7) with A=14.2 and B=3.383 (solid line). Some profiles according to the -law (dashed lines) are also shown for comparison.
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With the value
a=2 1020 cm-2
of the parameter of the system, this law translates in column
densities which best match the observations (Fig. 5).
![[FIGURE]](img86.gif) |
Fig. 5. Observed column densities as a function of the impact parameter. The curve represents the computed column densities using the velocity profile given formula (7) (solid line), using Vogel's law (dotted line) and using formula (13) (dashed line).
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We have compared the column densities furnished by the velocity
profile (Eq. 7) with those resulting from Vogel's law (V91), first
applied to investigate the wind structure of the symbiotic system EG
And,
![[EQUATION]](img88.gif)
In Fig. 5, we plot the column densities implied by Vogel's function
with parameters m=11, r0=3.75, v0=0.2 and
a=4 1020 cm-2.
The agreement between the curves is quite good particularly for
large values of impact parameter where they practically coincide.
Following KDV93 we consider now the finite Taylor expansion
![[EQUATION]](img89.gif)
and best-fit this expression to the observed data. The inversion
method of KDV93 permits then to invert the Abel's operator and to
determine the corresponding Taylor expansion for the "source function"
from which the velocity field can be reconstructed. We remark however,
that the column density is a decreasing function of the impact
parameter b, asymptotically tending to the value
which implies a non-decreasing
velocity profile converging to a constant terminal value. The Knill
method requires that the observational points cover all the region
until this terminal value is reached, in order to avoid a random
behavior of the polynomial outside this observational region. This is
not our case, in view of the restricted range of the observations. In
fact we did not find any best-fitting polynomial through all the
points and having at the same time the required behavior of the wind
velocity profile. Neverthelees, including in the fitting only those
points giving such a behavior we can get an upper bound for the
parameter a. The polynomial (N=4) that we obtained fits the
four inner points plus the point at b=2.658 with the lowest possible
value of that guarantees that the
polymonial does not have any positive root. This polynomial is shown
in Fig. 5 and the bound given by it is
a=6.0 1020 cm-2.
The relation 5 shows that the parameter of the system a is
related to important physical quantities such as the wind terminal
velocity, and the mass-loss rate
of the red giant. Assuming a wind
terminal velocity
=30 km s-1, a giant radius
of 86 (Schmutz et al., 1994) and
making use of the values of the parameter a from our modeling,
we obtain for the mass-loss rate:
=0.83 10-9
/yr for the velocity profile given by
expression (7);
=1.7 10-9
/yr for Vogel's law as applied to SY
Mus. The upper limit of the parameter a results in the bound
=2.5 10-9
/yr for the mass-loss rate. The
models by Harries & Howarth (1996) of Raman scattering in
symbiotic stars suggest a terminal velocity of about
60 km s-1 for SY Mus. This would give
=1.6 10-9
/yr if we use formula (7). We notice
that for the assumed terminal velocities the estimated the mass-loss
rate is rather low if compared with most of the S-type symbiotic
systems with radio measurements (see Seaquist & Taylor 1990). This
is especially the case for the first two models from which it was
possible to obtain simultaneously an estimate of the parameter
a and a good matching of the observed neutral hydrogen column
densities.
© European Southern Observatory (ESO) 1999
Online publication: March 18, 1999
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