Astron. Astrophys. 318, 819-834 (1997)
4. Radial velocity and line-profile variations
4.1.
Photospheric lines
All absorption lines are influenced by the stellar wind and show
asymmetric deformations on their violet wings (e.g. by Wolf &
Appenzeller (1979) in the case of Sco).
The asymmetries of the lines are indicators of a photospheric velocity
gradient.
The velocity and intensity variations occur in the cores of the
photospheric lines. So we refer to these variations as photospheric
disturbances, even if a closer look reveals that most lines are
shifted bluewards by the velocity gradient in the line-forming
regions. Assigning an average velocity to every line, the weakest
lines like OII 4705
(80 mÅ) have the smallest velocities. The depth structure of the
atmosphere can be analyzed using lines of different strength.
The photospheric variability pattern is very similar in different
lines, as can be seen in Fig. 3. A pulsation-like pattern is
visible in the first 60 days of this run. It disappears later on and
changes to a quite random pattern. This variation can be seen in all
three program stars but is never observable for more than a few
"cycles". The pattern is clearly shifted in time and velocity between
various lines. This is shown in Fig. 4 for three absorption lines
in the spectrum of Sco.
![[FIGURE]](img52.gif) |
Fig. 3. The velocity variations of the line centers in Sco in 1993. The central position of the line was measured by fitting Gaussians to the profiles. The sequence shows the radial velocity for OII 4705, NII 4601, HeI 4921, and
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![[FIGURE]](img54.gif) |
Fig. 4. The velocity variations of the line centers in Sco. The sequence shows the shift in time and velocity of the pattern for AlIII 5696, HeI 4921, and
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A cross-correlation analysis of the velocity shifts indicates the
propagation of disturbances through these layers. For this purpose the
velocity curve of each line is splined to obtain equally spaced points
for each spectral line. The resulting curves are shifted to a mean
value of zero and their variance is normalized to unity. The
variations in the photospheric lines are cross-correlated with those
in a reference line. The AlIII
5696 line was adopted as reference since it gives the highest
correlation coefficients. The position of the maximal correlation
value gives the time-shift between both patterns. The correlation
coefficients can be used to remove non-significant points. Only points
with a correlation coefficient greater than 0.6 are taken as
significant. The result is shown in Fig. 5 for each of the three
stars.
![[FIGURE]](img56.gif) |
Fig. 5a-c. The figure shows the propagation of disturbances in the line cores of photospheric lines. The dotted lines indicate the systemic velocities derived from pumped FeIII lines
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The points for Sco in 1995 are not
shown because the AlIII 5696
line was not observed in this year. Nevertheless, the use of another
reference line leads to the same curve except for an offset in time.
The offset is of the order of the delay between the variations of
AlIII 5696 and those of the new
reference line obtained in earlier years.
Our analysis shows for the first time that disturbances which
affect the wind of early-B hypergiants are generated very deep in the
photosphere (or even in sub-photospheric layers). Presumably, they are
causally connected to the pulsation-like motions as shown by the
pattern of the radial-velocity variations of the photospheric lines.
However, a simple and straightforward connection could not be
found.
In order to derive the velocity law in the photosphere and the deep
wind layers from the relations shown in Fig. 5, the formation
depth of the lines have to be known from hydrodynamical photospheric
models.
We estimate the amplitude of the radius variations of the
photosphere from the integration of the radial velocity curves
below.
4.2.
Wind profiles
In the stronger P Cygni-type profiles like
and outwards propagating
absorption features are detectable. Due to the strong emission, these
features are invisible at expansion velocities below about
. This can be seen in Figs. 18 and 19,
upper panels. In lines showing less emission, e.g.
, the visibility of these features at low
velocity is normally disturbed by the strong photospheric absorption
line and its variability.
If we assume that the discrete absorption features are due to
clumps of gas moving with the ambient wind, they can be used to derive
the velocity law in the wind. In order to trace back the velocity law
to photospheric velocities we searched for fainter P Cygni-type
profiles. In such profiles the absorption features can be followed
down to low velocities. The FeIII
5127 and FeIII
5156 lines have weak P Cygni-type
properties as shown in Fig. 6.
![[FIGURE]](img60.gif) |
Fig. 6. Weak P Cygni-type profiles of FeIII lines in the program stars. The synthetic photospheric profiles were calculated using the code introduced in Sect. 3
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In these lines the propagating components are remarkably distinct
down to very low velocities. This is shown for
Sco in the dynamical spectrum of Fig. 7. Four events are
visible in 1993. If we trace these events we get velocity curves which
can be compared to -type velocity laws
(Eq. (3)). The result is shown in Fig. 8.
![[FIGURE]](img74.gif) |
Fig. 7. Dynamical spectrum of the FeIII 5156 line in Sco in 1993. The single spectra have been divided by the mean profile
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![[FIGURE]](img71.gif) |
Fig. 8a and b. The acceleration of absorption features through the wind. The symbols shown here have been measured using the FeIII 5127 , FeIII 5156 , HeI 6678 , HeI 5875 , and lines. The dotted lines indicate in the heliocentric system. The data plotted in Fig. 5 have been shifted in time and are included as dots for comparison. A velocity law with , , and has been superimposed on the curve for Sco and shifted by , so it starts at
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Such features are notable in both other stars, as well. However,
for HD 169454 the coverage of the monitoring was not dense enough
to establish a curve like in Fig. 8.
The curves in Fig. 5 and Fig. 8 show nearly the same
gradient in the velocity domain around 60 .
Hence it is likely that the features we trace in the wind lines
(Fig. 8) are causally connected to the photospheric variability.
Fig. 8 indicates that the discrete absorption components have a
velocity law similar to that of a law with
. However, the velocity law of the ambient
wind of our program stars might not have ,
because the density clumps which produce the features may not move
with that ambient wind. If the features are due to weak density
perturbations in the wind, they can travel with the sound speed
through the wind. It should be noted that this speed is different from
the sound speed in the stellar atmosphere (Abbott 1980). On the other
hand, if the density perturbations are large enough to block radiation
from the star in the UV resonance lines that drive the wind, their
acceleration can be significantly smaller than that of the ambient
wind. Therefore =2.5 can be considered as an
upper limit to the velocity law.
Similar results were obtained for O-stars, where discrete
absorption components were investigated by numerous authors. The
propagation of these DACs was traced from to
for several stars in the optical range (e.g.
Prinja & Fullerton 1994, Massa et al. 1995, Prinja et al.
1996).
4.3. Variability of the P Cygni emission components
As can be seen in Fig. 9, the equivalent widths of the
emission lines are variable. Most remarkable the variation pattern is
visible in all wind-emission lines; in those formed in the inner
regions of the wind (HeI 6678)
as well as in lines formed out in the wind like
.
![[FIGURE]](img78.gif) |
Fig. 9. The variations of the maximum emission flux in units of the continuum of several lines in Sco in 1993. The flux was measured by fitting Gaussians to the emission part of the profile. The typical variation pattern can only be seen in lines with wind emission. "Photospheric emission lines" like SiII 6347 remain largely unaffected
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We now analyze the emission variability by cross-correlation.
Instead of comparing the radial velocities, we correlate the height of
the emission components. In contrast to the absorption, the emission
radiation originates in the whole envelope. So only a sequence in
time, but no velocity information can be derived using this method. If
the observed time shifts are due to the propagation of density
variations through the emitting envelopes of different lines, these
envelopes cannot differ much in radius, since the time shifts are
rather small.
![[TABLE]](img80.gif)
Table 4.
Time shifts between the emission variability for Sco . was used as reference line. The HeI 6678 emission was too weak in HD 169454 and HD 190603 to give reasonable correlation functions
No correlation could be found by comparing the emission variability
with the propagating components seen in absorption. For
Sco the typical time scale in the emission
variations is about 15 days, which is shorter than the repetition time
of the absorption features of approximately 24 days.
This argues against a connection between the variations seen in
emission and in absorption. The emission variability might be
connected to the photometric variations reported by Burki et al.
(1982) and Sterken et al. (1997) who found periods of up to 16
days.
So far the variation patterns of the photospheric lines were used
as tracing probes through the photospheric layers. However, a closer
look on these pattern reveal some interesting behavior. We integrated
the radial-velocity curve of a typical line like NII
4601 after subtracting the mean radial
velocity. The emission variability is found to be correlated with the
resulting values of the integrated radial velocity.
In Fig. 10 we show this by plotting the
-emission flux versus the integrated quantity. Years, where the
integrated radial velocities show less correlation with the
-emission variability, like
Sco in 1994 and 1993, the behaviour might
be due to wind influences. So in the 1993 plot for
Sco the relation clearly splits due to the
minimum of the photospheric velocity at
(Fig. 3). In contrast to the other peaks, this one shows no
correlation with the emission. So this peak
might be caused by the wind variability rather than by the typical
photospheric variability.
![[FIGURE]](img82.gif) |
Fig. 10. The emission plotted versus the integrated radial-velocity variations
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Using the propagation law derived in Fig. 8, the propagation
of this peak coincides well with the early flank of the strongest
observed absorption feature. The center of this absorption feature is
seen in the FeIII
5127,5156 lines about 10 to 12 days later. In
our model described below, this peak in velocity coincides with a
phase of sharply increasing wind density starting at model date
(Fig. 17).
© European Southern Observatory (ESO) 1997
Online publication: July 3, 1998
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