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Astron. Astrophys. 357, 233-240 (2000)
4. Application to data
From the results of Sect. 3 it is clear that for a fixed number
of blobs per flow time, the mean
level and variances of scattered light and polarisation scale up as
the total mass loss rate is
increased, simply because there are more scatterers. On the other
hand, the relative degree of variability and of polarimetric
cancellation are mainly governed by the number of blobs lying within a
few stellar radii - which is fixed by
, the ejection rate of blobs per flow
time, and by the velocity law
value. More distant blobs do not contribute much to the scattering
(see Fig. 5). Due to increased angular cancellation, to achieve a
prescribed mean polarisation, as is
increased a larger total number of blob electrons (and hence total
mass) has to be emitted per second by the star. The effect of
occultation is mainly to hide backward scattering electrons which
contribute little to p but significantly to
so reducing
. When combined with the full 3-D
treatment of blob distribution geometry, this in fact can bring
results into compatibility with data for suitably chosen model
parameters and can indeed be used as a means to infer wind parameters,
as we now show.
The observable photometric and polarimetric variability quantities
related to clumpy winds are essentially
and
plus if the interstellar and ambient
polarisations are either zero or known. (Mean scattered light
is not really an observable since it
is difficult to distinguish from direct starlight). Because
primarily determines the absolute
value of while
mainly governs
, we can use data on
and
to set limits on and
using Figs. 7 to 10.
We thus ideally have a set of three observables
and the blobby wind model is
largely controlled by three parameters
[ ] since we have found results to be
insensitive to and
over likely value ranges. It is thus
of interest to see whether we can determine these parameters from the
observables. We first note that since
all scale linearly with
for fixed
and
, we can initially set
aside if we consider only the ratios
as previously defined and also the
ratio shown in Figs. 9 and 10 for
various .
Typical observed values from Robert (1992) are
,
so that and
. We see from Fig. 9 that for small
values of it is only possible to
match the observed value or for very
small but these are excluded by the
number of narrow features seen in WR emission lines, as discussed
further below. For or so, the
value can be matched for a wide
range of including larger values
(greater than about 20) consistent with the emission features.
Excluding low on this basis we turn
to in Fig. 10, where we see that
1 excludes all
below about 1.5 and that for
we have to have
. These bounds on
provide an important confirmation of
independent estimates from spectrometry. We note that the constraint
from is weaker than that from
in that the model values of
assumes that the observed
is solely due to the blobs, and that
any constant interstellar or intrinsic polarisation (e.g. due to a
flattened smooth wind) has been removed. A smaller value of
associated with the blobs alone would
push our solution toward larger
and/or smaller though the latter is
quite tightly limited by the number of narrow emission line features
discussed below. If we now return to the absolute value of
and again assume it is solely due to
the blobs, we can estimate the needed
to achieve this for the value or
range of values estimated for from
as discussed above.
![[FIGURE]](img293.gif) |
Fig. 10. A plot of curves versus for different velocity laws but with the same parameters used in Fig. 9. The horizontal dotted line is the observed ratio. Velocity laws with appear to be excluded. Comparison of the observed ratios and of Fig. 9 and this figure appear consistent with and in the range 20-50.
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However, for a given , we also
see that any value of is consistent
with the observed but with
increasing the value of
needed to achieve
becomes unreasonably large both on
physical grounds and to be consistent with the single scattering
limitation on p. Specifically for
and
, 100, and 400 we find respectively
/year,
/year, and
/year, so that the range
is again suggested as most
plausible and in line with other estimates of WR star
values.
Another constraint on comes from
the emission line profile features produced by the blobs (see Robert
1992). A very high rate will produce
many narrow features which will blend to produce a smooth broad
profile, like that from a smooth spherical wind (c.f., Brown et al.
1998) lacking the narrow features actually observed on top of a smooth
profile. A very small on the other
hand would produce only a few narrow emission line features without
the observed smooth underlying profile. To see whether the emission
line profile for our estimated range of
resembles actual data, we have
crudely modelled the line profile by taking each blob to emit at a
total rate for constant radial
thickness, centred at a wavelength shift
and broadened with Gaussian spread
which we chose to be chosen rather
arbitrarily to represent velocity turbulence and gradient effects -
both much larger than thermal broadening. In Fig. 11, we show the
profile at a random time for the case
. We see that about ten distinct
narrow features are present at any random time, consistent with
Robert's (1992) results. This is governed by the degree of blending
resulting from our assumed narrow feature broadening, but shows that
the line profiles observed are broadly consistent with
for our assumed smearing.
![[FIGURE]](img318.gif) |
Fig. 11. Narrow feature contributions from all blobs to a wind emission line profile (wavelength shift in velocity units). Parameters are year, , km s-1, , and . Plot corresponds to a randomly chosen observational instant.
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In summary our approach provides a valuable new means of studying
blob ejection, mass loss rates, and also the blob velocity law in WR
winds and should enable further insight into blob production
processes. Other work in progress will address the relationship of
these results to other hot wind signatures such as X-ray
variability.
© European Southern Observatory (ESO) 2000
Online publication: May 3, 2000
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