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Astron. Astrophys. 336, 613-625 (1998)
3. Modelling
ADB have presented a grid of 72 chromospheric and transition region
(TR) models in which the photospheric base was computed with
PHOENIX (Allard & Hauschildt 1995) and is
representative of a dM0 star ( K,
, ). The grid explores a
wide range in chromospheric pressure from low to high, which
corresponds to the range in observed chromospheric activity level from
low (dM stars) to high (dMe stars). The grid also explores two values
of the chromospheric thickness (or, equivalently, the mean
chromospheric temperature gradient), two different functional forms of
the chromospheric temperature variation with column mass density, and
two different values of the TR thickness. The models of their Series
and (chromospheric
constant) are shown in Fig. 1. ADB
computed non-LTE H and Na I
D profiles for this grid. Their calculations included line
blanketing opacity, computed with PHOENIX , due to
spectral lines of atoms, diatomic molecules,
and . However, this line blanketing opacity was
only computed for the photospheric temperature structure below
. The line opacity was assumed ad hoc to
approach zero within a decade of logarithmic column mass density above
.
![[FIGURE]](img41.gif) |
Fig. 1. Temperature structure of models. Upper panel: series, lower panel: series. Solid line: , dotted line: , dashed line: , dot-dashed line , dot-dot-dot-dashed line: , long dashed line: , diamonds: , triangles: , squares:
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SD recomputed the PHOENIX line opacity spectrum for
a small sub-grid of six models within Series
and of the grid of ADB. This opacity
calculation differed from that of ADB in that the line opacity was
calculated throughout the entire atmospheric model using the
chromospheric and TR temperature structure as input to the opacity
calculation. As a result, the background line blanketing opacity is
consistent with the chromospheric/TR temperature structure of the
outer atmosphere. SD found that in a chromospheric model the line
blanketing opacity initially increases with declining column
mass density in the low chromosphere above , in
sharp contrast to the assumption of monotonically decreasing
chromospheric line opacity made by ADB. The complete, self-consistent
line blanketing opacity has now been computed for the eighteen models
presented here using the procedure described in SD.
SD used the MULTI non-LTE radiative transfer code
(Carlsson 1986) to recompute the non-LTE H I spectrum
with their complete line blanketing opacity included in the
calculation and compared the resulting line profiles with those
resulting from the adoption of the line blanketing of ADB. They found
that for the most active (dMe) models, the complete treatment of line
blanketing opacity is necessary to correctly model the
Ly and H lines. Figs. 5
through 13 show the computed H profiles, and
Table 4 gives the values of the predicted
H lines and the FWHM values for those
models that have H in emission. A comparison of
the computed values with those for the sub-grid
treated by SD shows discrepancies, with the
values given here being variously smaller or larger than the previous
value by as muxh as . The reason for the
discrepancy is an improved treatment of the optical depth grid spacing
in the calculation of the statistical equilibrium and radiative
transfer problem for Hydrogen. Negative values
indicate net absorption.
![[TABLE]](img44.gif)
Table 4. Computed H line: and FWHM (emission) in ![[FORMULA]](img18.gif)
We have also used MULTI to recompute the non-LTE
Na I spectrum using the model atom that was described
by ADB, but with our complete line blanketing included in the
background opacity. Figs. 6 through 14 show the computed
Na I profiles. ADB and SD
contain extensive detailed discussions of the effect of different line
blanketing treatments on the calculated non-LTE H I and
Na I spectra. Here we will confine our discussion to
the comparison with the observed spectra.
3.1. Dependence on stellar parameters
The reported values of found in the
literature for our program stars span the range from 3270 K (Gl 388)
to 3870 K (Gl 494). The value of for these stars
has not been measured and previous investigators normally adopt values
around 5.0 on the basis of spectral type when modelling the
atmosphere. The actual value is not likely to differ from this by more
than dex if these stars have a luminosity class
of type V . Our photospheric base model has
and values of 3700 K and
4.7, respectively. Therefore, we investigate the sensitivity of the
predicted line profiles to variation in the stellar parameters by
computing the H I and Na I spectra for
models with equal to 4.5 and
equal to 3400 and 3900 K, and for models with
equal to 3700 K and equal
to 4.0 and 5.0.
The grid of models used in the perturbation analysis is shown in
Fig. 2. For each set of stellar parameters we have attached the
chromospheric/TR structure of Series with the
lowest and highest value of the chromospheric pressure. We then
compute line profiles for the grid. In this grid of models we have
held the value of fixed. Therefore, because the
temperature structure below is different for
models with different values of the stellar parameters, the value of
is necessarily different in each of these
models. The total range in throughout the grid
is about 400 K. It is not possible to hold both
and fixed when attaching chromospheric
structures to radiative equilibrium photospheric models with different
temperature structures. We have chosen to construct a perturbation
analysis grid in which rather than
is held constant, and some of the variation in
the predicted H I and Na I spectra will
be due to the variation is as well as the
variation of and .
![[FIGURE]](img53.gif) |
Fig. 2. Grid of models with low ( ) and high ( ) chromospheric pressure that explores a range of photospheric stellar parameters. Solid line: K, (model closest to that used for entire grid), dotted line: K, , dashed line: K, , dot-dashed line K, , dot-dot-dot-dashed line: K, .
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The results of this perturbation analysis can be seen in
Figs. 3 and 4. The blanketed line profile have been approximately
normalized in relative flux by a single point division by the
calculated value of the continuum flux at the wavelength of
H . With the expanded relative flux scale of the
left panel in Fig. 3 we can see the difference in the shape of
the pseudo-continuum due to the different line opacity distributions
for models of different parameters.
![[FIGURE]](img55.gif) |
Fig. 3. Synthetic H profile for models of fixed chromospheric/TR structure and varying stellar parameter. Left panel: models with chromosphere/TR structure of low pressure ( ), right panel: models with chromosphere/TR structure of high pressure ( ). Vertical lines in left panel indicate the position of H . Solid line: K, (model closest to that used for entire grid), dotted line: K, , dashed line: K, , dot-dashed line K, , dot-dot-dot-dashed line: K, .
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![[FIGURE]](img59.gif) |
Fig. 4. Synthetic Na I D profile for models of fixed chromospheric/TR structure and varying stellar parameter. See Fig. 3 caption.
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3.1.1. Low pressure chromosphere
H
For the low pressure chromospheric models of the left panel of
Fig. 3, H shows a significant
dependence: the absorption line is almost
undetectable in the K model and is broader and
stronger by about 0.05 in relative flux in K
model. We note that the computed H line is
blended with the background line blanketing opacity. Therefore, some
of the dependence may be due to differences in
the background line opacity at the wavelength of
H , rather than to changes inherent in the
H transition itself. The relative line strength
is almost identical in the models with equal to
4.5 and 5.0, but is noticeable weaker in the model with
equal to 4.0. However, comparing the difference
between the profiles for the models of varying
and of low chromospheric pressure in Fig. 3
to the difference between models of varying chromospheric pressure in
Fig. 5, we can see that in the regime of low chromospheric
pressure the change in the line profile due to variation in the
stellar parameters is significantly less than the change due to a step
in chromospheric pressure in the chromospheric/TR grid.
![[FIGURE]](img61.gif) |
Fig. 5. Gl 212, H . Left panel: models of series, right panel: models of series. Crosses: observed spectrum. Models in order of increasing chromospheric pressure as measured by : solid line: , dotted line: , dashed line: , dot-dashed line , dot-dot-dot-dashed line: , long dashed line: , diamond line: , triangle line: , square line:
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Na ID
The left panel of Fig. 4 shows that the model with
equal to 3400 K and that with
equal to 4.0 have inner wings that are about
0.025 brighter, and the model with equal to 3900
K, and that with equal to 5.0, have inner wings
that are about 0.025 darker, than the fiducial model. At the same
time, all models have almost identical central core profiles.
Therefore, there is a slight dependency of the inner wing-to-core
contrast on the stellar parameters. From comparison with the low
pressure synthetic line profiles in Fig. 6 (those with
), we note that the dependency of the inner
wing-to-core contrast on stellar parameters is of the same size as the
dependency on the location of .
3.1.2. High chromospheric pressure
H
The right panel of Fig. 3 shows that varying stellar
parameters have a large effect on the predicted strength of
H when it is in emission. Changing
from 3700 K to 3400 K, or increasing
from 4.5 to 5.0 approximately doubles the flux
at line center, , and the equivalent width,
. This change is equivalent to increasing the
value of in the chromospheric grid by 0.3 dex
in the high pressure regime where H is in
emission. The dependency, in which emission
strength relative to the local continuum varies inversely with
may be partially understood as a contrast effect
in which an emission line that forms in a fixed chromospheric/TR
structure is being seen against a photospheric background of varying
brightness temperature. However, a proper understanding of the
dependency would require a detailed analysis of radiative transfer
quantities such as intensity contribution functions and monochromatic
source function throughout the line profile and adjacent continuum, as
has been done in the case of chromospheric H I line
formation by Short & Doyle (1997). The results of the perturbation
study in the regime of high chromospheric pressure place severe
limitations on the accuracy of chromospheric modelling of dMe stars
with the H line.
Na ID
The right panel of Fig. 4 shows that, as in the case of
H , modest variation in and
changes and
by approximately a factor of two or more. As
with H , a reduction of or
an enhancement of causes a dramatic increase in
the emission line contrast with the local continuum. The general
observation made above for H I holds for
Na I ; a proper understanding of the difference in line
profile in different models requires an in depth radiative transfer
analysis such as that provided for the chromospheric
Na I spectrum by ADB.
Application to this study
The results of the perturbation study in the regime of high
chromospheric pressure place severe limitations on the accuracy of
chromospheric modelling of dMe stars with the H
and Na I D line. Unless the fundamental stellar
parameters are known accurately, the closest fit chromospheric/TR
structure is not well constrained. A proper analysis should employ a
grid that spans a range of and
values as well as a range of chromospheric/TR
parameters. However, due to the enormous computational effort required
to compute complete line blanketing opacity for a unified
chromospheric/TR structure, we hold and
fixed at 3700 K and 4.7 throughout the
chromospheric modelling of individual stars and use the results of the
perturbation analysis as a guide to the limitations on the accuracy of
the modelling. Most of the stars in our sample do not have reported
abundance measurements. Therefore, for the same reason of
computational expediency, we have held fixed at
0.0.
If we attempt to fit either H or the
Na I D core of an active (dMe) star that has a
value of that is higher than that of our
model (3700 K), then the model will predict emission cores that are
too bright with respect to the adjacent continuum (too contrasty) for
a given value of . Noting the dependence of the
predicted H profile on
shown in Fig. 9, we see that the inaccuracy in
will mimic the effect of a larger value of
, which will be compensated for by reducing the
value of to achieve a close fit. As a result,
the inferred value of will be too small, and
will be a lower limit to the actual value. Similarly, the closest fit
value of will be an upper limit in the case
where we fit a star with a value of lower than
that of our model.
If we attempt to fit the absorption core of the Na I
D line in the spectrum of a low activity (dM) star that has a
value of that is higher than 3700 K, then
the model will predict a line profile in which the contrast between
the inner wing and Doppler core is too large. By noting the dependence
of the predicted line profiles in Fig. 6, we see that the
inaccuracy in will mimicking the effect of lower
. This will be compensated for by raising the
value of in the model to achieve a good fit.
Therefore, the value of derived from the fit
will be too large,and will, thus, be an upper limit.
© European Southern Observatory (ESO) 1998
Online publication: July 20, 1998
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