A&A 399, 315-327 (2003)
DOI: 10.1051/0004-6361:20021789
K. G. Strassmeier1,
-
J. B. Rice2,
1 - Astrophysical Institute Potsdam, An der Sternwarte 16, 14482 Potsdam,
Germany
2 -
Department of Physics, Brandon University, Brandon,
Manitoba R7A 6A9, Canada
Received 18 October 2002 / Accepted 29 November 2002
Abstract
We present the first Doppler image for both stellar
components of the F9+G0 ZAMS binary CrB and found
evidence for the coexistence of cool and warm spots on both stars.
Cool spots appear mainly at polar or high latitudes while a
confined equatorial warm belt appears on the trailing hemisphere
of each of the two stars with respect to the orbital motion. We
also present an update of the TempMap imaging code that allows us to
solve the stellar surface temperature distribution on both binary
components simultaneously, including photometric input. Several
test reconstructions are performed to demonstrate its reliability
and robustness. Our new orbital solution results in very precise
masses for both components - good to 0.4% - and confirms the
spectral classifications of F9 and G0 for the primary and
secondary, respectively. The visual component,
CrB,
seems to be G4 rather than G0. All three components are on or very
close to the ZAMS which is also confirmed by the relatively high
lithium abundance of about twenty times the solar abundance.
Photometric light variations are detected with a period of
days that we interpret to be the rotation period
of both binary components. A 0
04 dimming in y together with a
reddening of 0
01 in b-y during the year 2000 suggests a
long-term spot variability compatible with a period of at least
260 days.
Key words: stars: activity - stars: starspots - stars: imaging -
stars: individual: CrB - stars: late-type
One of the remaining obstacles in stellar astrophysics is the impact of a magnetic field onto an astrophysical plasma. The range of likely impacts spans from the super-strong fields of magnetars and their impact on the space-time structure near the neutron star's surface to the very weak but large-scale galactic field and its impact on star formation and evolution. In the present series of papers, we investigate the behavior of surface magnetic fields of stars with convective envelopes, i.e. dwarfs and giants in the mass range of 0.5-2.5 solar masses and with approximately solar effective temperatures. Solar analogy tells us that the surface spot distribution, and its variation in time, is a fingerprint of the underlying dynamo process and its subsequent magnetic-field eruption as bipolar sunspots or sunspot groups. On stars, we resolve the surface by an indirect tomographic imaging technique and map the surface temperature distribution as a proxy of the (predominantly radial) magnetic field. This requires high-resolution spectra well sampled over a rotation period of the star.
Up to now, various groups found large spots on or near the rotational pole (e.g. Hatzes & Kürster 1999; Strassmeier 1999; Collier-Cameron et al. 1999; Berdyugina et al. 1998; Barnes et al. 1998), differential rotation both in the same sense and in the opposite sense than on the Sun (Vogt et al. 1999; Donati & Collier-Cameron 1997; Hatzes 1998; Rice & Strassmeier 1996; Barnes et al. 2001), possibly detected meridional flows toward the pole (Weber & Strassmeier 2001; Strassmeier & Bartus 2000), detected and mapped prominences (Collier-Cameron et al. 1999) and warm spots (Piskunov 1996; Unruh et al. 1998; Strassmeier 1999), observed active longitudes and related activity flip-flops (Berdyugina et al. 1999), found spot evolution on very short- and on very long timescales (e.g. Washuettl et al. 2000; Barnes et al. 1998) and, finally, directly detected complex magnetic surface fields (Wade et al. 2000; Piskunov & Kochukhov 2001). The latter is still a rather virgin field because of a lack of appropriate spectro-polarimetric data.
In the present series of papers, we follow two approaches.
Firstly, we try to enlarge the astrophysical parameter space with
new targets without a Doppler image. This should eventually lead
to a relation between a surface spot distribution and a rotational
or stellar-structure parameter, e.g. the rotation period or the
Rossby number. Secondly, we try to monitor a few targets as
continuously as possible, i.e. for decades, in order to detect a
cyclic behavior of the surface spot distribution, and possibly
observe a stellar butterfly diagram as the existence of
such on a star is by no means certain (e.g. Messina & Guinan
2002). In the present paper,
we present the first Doppler images for the close binary
Coronae Borealis.
CrB (TZ CrB, HD146361,
)
is the brighter
component of the visual binary ADS 9979 (the second component is
CrB 6.6
away) with the orbital period of 1000 years.
CrB itself is a double-lined spectroscopic
binary with a relatively short period of 1.14 days (Harper
1925; Tanner 1949; Bakos 1984; Duquennoy
& Mayor 1991). For a summary of many more astrophysical
data see the chromospherically active binary star catalog
(Strassmeier et al. 1993) and more recently Osten et al.
(2000, 2002). The light variability was
discovered by Skillman & Hall (1978) and suggested a
0.1-day period. This period was confirmed by Percy (1980)
but not by Bakos (1984). Later, Giménez et al.
(1986) and Strassmeier et al. (1989) conclusively
showed that it was spurious and that a period very similar to the
orbital period was the correct one.
The primary star of CrB is of spectral type F9-G0 and
thus represents the "earliest'' (spherical) star with a Doppler
image so far. The secondary component is of G0-G1 type, and thus
is not much different than the primary. Their convective envelopes
are accordingly shallow and we could expect a significantly
different flux-tube emergence than in a typical RS CVn-type
binary. Donati et al. (1992) detected a clear signature
of a magnetic field on the cooler component but not on the hotter.
They found a Stokes V modulation that appeared restricted to the
line-profile core rather than the line wings and thus speculated
that the magnetic activity originated from high latitudes.
High-resolution spectroscopic observations were obtained with the Gecko Coudé spectrograph at the 3.6-m Canada-France-Hawaii telescope (CFHT) in two observing runs each two nights long in May 17-18, 2000 and May 21-22, 2000. This splitting of nights was mandatory in order to obtain full phase coverage because the orbital period (and the rotational periods) is 1.14 days, and thus close to the day-night cycle.
The Gecko spectrograph was used with the 316 l/mm grating in
9th order and provided a resolution of 120 000. The
4.4k
2k EEV1E CCD with 13.5
m pixels provided a
dispersion of 0.0017 nm/px and allowed for a useful wavelength
coverage of around 8.0 nm centered at 642.5 nm. Seeing was always
between 0.6-1.2
and all integrations were set to an
exposure time of 4
300 s and have typical signal-to-noise
ratios of 150:1 per single exposure per pixel. We took a single
Th-Ar comparison spectrum preceding every 4
300-s block
on
CrB, and a series of five flat-field spectra from a
quartz lamp preceding every fifth such block. The many
comparison-star spectra enabled a very precise interpolation of
the wavelength scale throughout the night, thus taking care of
eventual CCD drift, non-linearities, and similar instrumental
instabilities causing "external'' errors. No such drift
was noticeable during the reduction though. A few integrations were
centered at 671.0 nm and separate Th-Ar spectra were obtained for
this wavelength region. Calibration targets and some targets of
interest were observed at this wavelength, among them the visual
companion
CrB.
HJD | Phase | ![]() |
Std.dev. | Observatory |
2451000 | (Eq. (1)) | (km s-1) | (km s-1) | |
Star 1 | ||||
682.768 | 0.415 | -65.1 | 0.0 | CFHT |
682.772 | 0.419 | -65.9 | -0.1 | CFHT |
Star 2 | ||||
682.768 | 0.415 | +40.7 | 0.0 | CFHT |
682.772 | 0.419 | +42.0 | -0.1 | CFHT |
Note: The full table is available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/399/315 |
Parameter | Primary | Secondary |
Distance (Hipparcos) |
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|
Spectral type | F9V | G0V |
MV |
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Luminosity |
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<B-V> |
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|
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Rotation period | 1.157 days | 1.157 days |
Radius |
![]() |
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Inclination | 28
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28
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Mass |
![]() |
![]() |
Macroturbulence, ![]() |
4.5 km s-1 | 4.5 km s-1 |
Microturbulence, ![]() |
2 km s-1 | 2 km s-1 |
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Figure 1:
a) Example spectrum of ![]() ![]() ![]() ![]() ![]() ![]() |
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Figure 2:
Radial velocities and new orbit for ![]() |
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The above sequence allowed for a total of 256 spectra of
CrB, i.e. 64 combined spectra with S/N mostly above
300:1, each the sum of four individual integrations and well
distributed over all rotational phases (see the log in
Table 1). Eight of these spectra were eliminated from the
analysis because they suffered from excessively low S/N due to
clouds but are included in the radial-velocity measurements.
Figure 1a displays a typical single-exposure spectrum during
a double-lined phase. No water-vapor lines above the nominal noise
level are obvious in the wavelength regions of interest and no
attempts were made to correct for it. The reduction procedure was
nearly identical to that in our paper on HII 314 (Rice &
Strassmeier 2001) obtained with the same instrumental set
up and we refer the reader to that and previous papers in this
series. A radial-velocity standard was observed at the beginning
(
CVn) and at the end of each night (
Ser) and
provided the absolute zero point of our radial-velocity
calibration.
Simultaneous and contemporaneous photometric observations were provided by Wolfgang, the blue-optimized 0.75-m telescope of the twin Vienna-Observatory Automatic Photoelectric Telescope (APT) at Fairborn Observatory in southern Arizona (Strassmeier et al. 1997). These observations cover the entire year 2000 observing season (Fig. 1b) with a sampling of three points per night and are still being continued. A total of 292 bymeasurements, each the mean of three 10-s readings per filter with an internal standard deviation of less than 7 mmag, constituted the useable data set for this paper. Measurements with a larger internal standard deviation were discarded. The average internal standard deviation throughout the observing season was 2.1 mmag.
All data were taken in and transformed to the Strömgren uvbysystem and used HD 143761 (G2V,
,
ESA 1997) and
HD 143435 (K5III) as the comparison and check star, respectively.
A diaphragm of 30
included both visual components of the
CrB system, i.e.
CrB (G0V) and
CrB
(F9V+G1V), but
is brighter than
by 1.1 mag
in V. Nevertheless, the photometry must be corrected for the
presence of the third light and this was done according to the
formulae given in, e.g., Strassmeier & Bartus (2000). We
remark though that this procedure relies on the assumption that
does not vary in light (as suggested from the
spectrophotometric data of Frasca et al. 1997) .
With the current resolving power of
(
of 0.0054 nm at
642.5 nm, or 2.5 km s-1) and a full width of the lines at continuum
level of
0.1070 nm, we have a
comfortable 20 resolution elements across the stellar disk. It
translates into a theoretical spatial resolution along the equator
at the stellar meridian of approximately 9
.
The total
time-on-target of 23 min (including CCD overhead) will cause phase
smearing due to stellar rotation of up to a maximum of 0
012 or
4
along the stellar equator and in the direction of the
rotational motion, thus well below the spectroscopic resolution
limit. Additionally, the binary motion itself will cause a
wavelength smearing of between practically zero at conjunction and
a maximum of
0.0075 nm at quadrature during the 23 minutes of
integration. The lines from both components are sufficiently
narrow to neglect differential wavelength smearing between the
blue wing and the red wing of the line profile. At quadrature this
effect amounts to 0.0002 nm or 0.01 km s-1, thus does not affect
our surface imaging.
A byproduct of the Doppler imaging is the accurate measurement of radial velocities for both stellar components. We obtained altogether 450 new velocities from the uncombined spectra (224 for the primary and 226 for the secondary) and used them to recompute the orbital elements. We did not add the previously published (photographic) velocities from Bakos (1984), taken between 1971-1983 (18 data points) and the original photographic data from Tanner (1949), nor the data from Duquennoy & Mayor (1991) (10 data points) because, firstly, they are much less precise than ours and, secondly, the orbital period is already well determined.
Our new velocities were obtained from cross correlations of the
full 80-Å long spectrum with spectra of the IAU velocity
standard CVn (G0V,
km s-1) and
Ser (F6V,
km s-1) and have external
errors of as low as 0.1 km s-1 and as large as 1.2 km s-1. The
velocities are listed in Table 1 along with its O-C
residuals from the orbital solution .
We gave all our unblended phases unit weight while the velocities from the fully blended phases (eleven measurements) were given zero weight. Final orbital elements were then derived with the updated differential-correction routine of Barker et al. (1967) as described and applied by Fekel et al. (1999). A first run with the elements from Bakos (1984) already converged at an eccentricity so close to zero that a formal zero-eccentricity solution was adopted. The improved elements are listed in Table 3 and the computed velocity curves are plotted in Fig. 2 along with the observations. Note the very precise masses, good to 0.4%.
All phases in this paper are computed with the new elements in
Table 3.
Element (Unit) | Value |
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1.1397912 (adopted) |
T0 (HJD) | 2,451,683.4400 |
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K1 (km s-1) |
![]() |
K2 (km s-1) |
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e | 0.0 (adopted) |
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![]() ![]() |
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![]() ![]() |
a (
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![]() ![]() |
0.1147 |
![]() ![]() |
0.1118 |
mass ratio |
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m1 (
![]() ![]() |
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m2 (
![]() ![]() |
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RMS for solution (km s-1) | 0.71 |
Starspots on the surface of a rotating star are ideal markers to
determine the stellar rotation period to very high precision. In
the case of CrB, however, we have two (almost)
identical stars that contribute to the observed light and to its
variations. Any periodogram analysis of the total light will thus
lead to an average period from the two stars (but see Kövari &
Oláh 1996 for a possible numerical treatment).
However, the observed period from the total light will be the
rotation period for both components if the rotation is
synchronized to the orbital motion. As we will show later, this is
most likely the case for
CrB. Otherwise, our
photometric data set would be long enough to see evidence for the
existence of two close-together photometric periods, which we do
not.
![]() |
Figure 3:
Critical Roche equipotentials in the ![]() |
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Figure 4:
Li I 670.8 nm spectra of both visual components
of ![]() ![]() ![]() ![]() ![]() ![]() |
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We first carried out a Fourier analysis of the combined data in
the b and y bands. The orbital period is by far the most
significant in the data set. However, there is also a long-term
trend in the data that must be considered real because the check-
minus comparison-star magnitudes do not show this trend. Instead
of prewhitening the data, we performed a multi-period search on
the combined data and a subsequent two-period least-squares fit to
minimize the residuals. Only two periods are required to achieve
the best fit at a residual of 0
007 (Fig. 1e). The most
significant period is
days with an amplitude of
0
035 in y, i.e. within 1.5% of the orbital period. Several
of its aliases, 1-f, 1+f, 2-f etc., show up as significant
periods as well, but the only second real period stems from the
trend seen in Fig. 1b and appears to be compatible with a
period of at least 260 days. Bakos (1984) already presented
evidence of a 3.5 yr periodicity of the mean V magnitude, and
Strassmeier et al. (1989) found a 2.0 yr period from
early APT data. Whether this period is from one of the two
CrB components or from the G star in
CrB
remains to be determined, e.g. with the spectrophotometric
technique used by Frasca et al. (1997).
![]() |
Figure 5:
The position of the ![]() ![]() ![]() ![]() ![]() |
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The difference of 0.0172 days (1.51%) between the photometric
period and the orbital period is statistically significant
(). It could be interpreted as a slight asynchronism
between the stellar rotation and the orbital revolution. A small
orbital eccentricity in case of strict pseudosnychronism (e.g.
Hall 1986) can be excluded because the photometric
(= rotation) period is longer than the orbital period. Moreover,
our orbital solution does not indicate an eccentricity larger than
0.01. Therefore, we believe that the difference of 1.5% is due to
differential surface rotation rather than asynchronism.
Differential rotation of this order is commonly observed on active
cool stars (e.g. Hall 1991).
We first estimate the average stellar radii from the relation
.
is determined from our
high-resolution spectra by reconstructing the time-series line
profiles in the 643.0 nm wavelength region from a set of trial
inversions with
as a "free'' parameter. This yields
km s-1 and
km s-1 and, with
,
gives
and
.
However, the line depth ratios
in the 6430-Å region is best reproduced in the inversion with
a ratio of the two stellar radii of 0.955, still within the error
range of the minimum radii from
.
In spite of the fact
that the
measuring error of
dominates the uncertainty on the
radius, it nevertheless allows us to compute a minimum stellar radius
solely from observed quantities.
![]() |
Figure 6: Test of the two-star version of TEMPMAP without photometric input. Top: Artificial input map for both components. Bottom: Reconstruction from 18 line profiles equally-spaced in phase but without photometric data. |
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Figure 7: Test of the two-star version of TEMPMAP including two photometric bandpasses. Top: Tikhonov regularization. Bottom: Maximum entropy regularization. |
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The Roche-lobe radius is determined from the semi-major orbital
axis and the mass ratio
mj/mj+1 (j= 1, 2) and is for the
primary 1.66
and for the secondary
1.64
(the stellar radii are approximately 1.14 and
1.10
,
respectively). Relative (mean) radii R/a are
0.192 and 0.185 for the primary and secondary, respectively, i.e.
both stars fill a large fraction of their Roche lobe
(
30%) but are still significantly detached from their
inner critical equipotential surfaces. The above relative radii and
the mass ratio of 0.975 determine the equipotential surfaces and
thus the various radii on the stellar surface(s). Figure 3
shows the location of the inner and outer critical equipotentials
as obtained with the program BinaryMaker (Bradstreet 1993).
From this, we find deviations from sphericity for both components
of between 1.5% in the direction perpendicular to the major axis
and 4.6% along the major axis toward L1. As for the case of
the double-lined close binary V824 Ara (Strassmeier & Rice
2000), we are confident that this is not enough to produce
an effect on our line-profile modelling.
Figure 4 shows a representative high-resolution spectrum
of the lithium 670.8-nm region for both visual components. The
average equivalent width measured from these spectra, three in
number for CrB and two for
CrB, is
mÅ and
mÅ for the
primary and
secondary, respectively, and
mÅ for
.
The
uncertainties quoted are rms errors from a fit with a double
Gaussian to each stellar component, and based on a minimization of
the residuals with a standard least-squares approach. This fit
separates the Li I line from the nearby Fe blend. However,
our abundance is still the sum from the two isotopes 6Li and
7Li. When using the non-LTE curves of growth of Pavlenko &
Magazzú (1996) for a 6000 K/
model for the
primary and a 5900 K/
model for the secondary, we
derive Li abundances of
and
(on the
scale) for the primary and secondary of
CrB, respectively. For
CrB, we derive
with the 5900-K model. The uncertainties quoted are
the propagated errors from the measurement of the line equivalent
width and do not include uncertainties from the effective
temperature calibration. It is thus likely that the absolute
abundances will be more uncertain.
Because photometry of CrB has shown it to be a
non-eclipsing system (Bakos 1984; Strassmeier et al.
1989), and because the orbital elements are now known to
very high precision, the inclination of the orbital plane with
respect to the line of sight must be lower than
45.6
(R1 +R2 must be less than
). On the other hand, an
inclination of below
10
is unlikely because we
detect significant rotational modulation in total light with a
full amplitude of 0
035 in y and a moderately large
.
In spite of the fact that numerical
simulations (e.g. Strassmeier 1996)
have shown that an amplitude of 0
035 can be obtained even at an
inclination of as low as 5
,
it would require a single spot
as large as a hemisphere but without any
flux contribution, something which
is not supported by the observed line profiles. We therefore adopt
an inclination of 30
for our initial Doppler imaging
following Bakos (1984) who suggested an inclination of
.
Having determined the rotational velocity, the rotational period,
and the luminosity class, we can further constrain and check the
inclination of the stellar rotation axis from the relation
.
The Landolt-Börnstein tables
(Schmidt-Kaler 1982) list a radius for a G0V star of
1.10
and for a F9 star of 1.14
that translate
into an inclination of
(again, only the
error for
was included).
The parallax measurement by the Hipparcos satellite (ESA
1997) confined the distance of CrB to
pc. If we adopt the maximum (combined) visual
brightness of 5
605 observed so far (this paper), the systemic
absolute visual brightness is
mag. Equivalent
widths were measured for three relatively unblended line pairs in
our 643-nm spectra and yield an average line ratio of
(rms), and accordingly a magnitude difference
between the components of
.
The
individual component's absolute magnitudes are thus
and
,
where
75% of the errors
come from the parallax error. Adopting the bolometric corrections
from Flower (1996), the luminosities are
and
,
respectively (with
).
The corresponding values for CrB are based on a
magnitude difference (
)
of -1
12 (with an
uncertainty of
0
05). This value was obtained from the
light curves of Frasca et al. (1997) and is the average
maximum
from their spectrophotometry in 1988 and 1989.
The absolute visual magnitude is thus
and the
luminosity just
,
i.e.
G4.
Figure 5 shows the position of all three stellar
components in the H-R diagram with respect to evolutionary tracks.
The dotted lines are the pre-main-sequence tracks of D'Antona &
Mazzitelli (1997) for 0.9, 1.0, and 1.1 ,
the
full lines are the post-main-sequence tracks of Schaller et al.
(1992) for 0.9, 1.0, and 1.25
,
and the dotted
line is the Charbonnel et al. (1999) track for
1.0
.
The latter differ mostly because of the use of a
MHD equation of state and is shown for comparison purpose only.
All three stars are on or very close to the theoretical ZAMS at an
age of a few 107 years, in agreement with their high lithium
abundances. A straightforward interpolation within the Schaller et al. tracks suggests masses of 1.10
and 1.07 solar masses for the
primary and secondary, respectively, in excellent agreement with
the masses from the spectroscopic orbit.
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Figure 8:
Doppler images of ![]() |
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Figure 9: Observations and fits from the inversion of, a) the Ca I 643.9-nm profile and, b), the Fe I 643.0-nm profile. |
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Our Doppler imaging program ( TEMPMAP) is based on the code by Rice et al. (1989) (also described in Piskunov & Rice 1993). Extensive numerical tests and an update of the program's primary capabilities were recently presented by Rice & Strassmeier (2000). For details, we refer the reader to this and previous papers in this series.
As already applied in our previous paper in this series (Rice &
Strassmeier 2001, Paper XVII), TEMPMAP can work from
a large piece of spectrum and inverts many lines together with two
photometric bandpasses simultaneously. The inclusion of large
portions of continuum with basically no stellar surface
information requires the additional input of a weight for each of
the 3155 pixels in the spectrum of CrB. We used a program that
allowed us to assign weight 0 to the pixels that represented extended
regions of continuum (or at least only extremely weak lines)
with no information about the stellar surface structure at any
phase and weight 1.0 to those regions with line profile information of
significance for at least some of the phases during the binary star
orbital period.
For the present paper, TEMPMAP was extended to work with two spherical stars in a close binary system. It inverts the line profiles of both stars in the combined spectrum simultaneously. Figure 6 shows an example of a test inversion with a rather complicated and also different surface pattern for the two stars and a maximum-entropy regularization. No photometry was used as input in this case. Figure 7 shows another two reconstructions, now with photometric input in two bandpasses added, one for a Tikhonov regularization and one for a maximum-entropy regularization. Note that in both figures the lower ones in the images are from a smaller secondary star (0.7 times the diameter of the primary star).
One obvious test behavior that is correctly reconstructed is that if the secondary star is both smaller and cooler, the contribution to the spectrum and to the photometry is much less than for the primary. Therefore, the program reacts by simply giving less resolution on the recovery rather than excessive and likely spurious detail. We would expect that in the case where there is significant external and internal error in the input data that a situation like this will result in significantly poorer results (resolution) for the secondary star. This is obviously just due to a lack of information for the weaker secondary.
Another test behavior shows that there appears spurious detail
that tends to show up on the primary when there is no penalty
function. We suspect that it may have to do with confusing
spectrum data that arises from the surface of the secondary star.
In such cases, TEMPMAP is trying to interpret the confusing
data by adding extra detail to the surface of the primary star
first.
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Figure 10: Doppler image for the primary (top row) and the secondary (bottom row) from the simultaneous inversion of the full 639-645 nm region and two photometric bandpasses. |
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Figure 11:
Example fits for the full-spectrum inversion from
Fig. 10. Shown is only one out of the 56 phases (at
5![]() |
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Figure 12: Combined differential light curves and their fits from the simultaneous solution with the line profiles. a) from the Ca-line profiles, b) from the Fe-line profiles. The respective upper panels show Strömgren b at an effective wavelength of 487.0 nm, the lower panels show Strömgren y at 549.0 nm. c) light and color curve fits from the full-spectrum inversion. Top panel: Strömgren b, bottom panel: b-y. |
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The radiative transfer in our program is based on ten LTE
plane-parallel model atmospheres with temperatures from 3500 K to
6500 K taken from the ATLAS-9 grid (Kurucz 1993). A gravity
of
,
a microturbulence of 2 km s-1, and a
macroturbulence of 4 km s-1 were adopted for both components based
on their
G0V spectral classification. Further stellar
parameters are listed in Table 2. The orbital input
parameters are the same as listed in Table 3.
All inversion were set to include a minimum of regularization,
sometimes even no regularization at all. With the large number of
profiles and phases, the fitting error was always 20%
larger than the photon noise in the data. Obviously, for
CrB the photon noise is not the limit for the
reconstruction quality but rather the sum of the external errors
(see the inversion tests in Rice & Strassmeier 2000). The
final maps were nevertheless computed with a minimum amount of
(Tikhonov) regularization in order to balance between fitting tiny
profile changes due to external errors and real surface detail.
Fitting errors were for Ca I 6439
5.25 10-3(appropriate to
), for Fe I 6430
(appropriate to
), and for the
full-spectrum fit
(appropriate to
). Error is defined here as
where N is the total number of spectrum points in
all of the observations, i.e. the number of pixels per phase times
the number of phases. This number of data points is such that the
problem is essentially over-determined and the least-squares fit
predominates. We have two to three times as many profile points
per star in total as we have pixels (2592) visible on the surface
of each star.
The binary version of TEMPMAP additionally requires the
input of the relative radii of the two components. We found
"best'' results when using
,
instead of the heuristic value of 0.965 as suggested in Sect. 3.4.
The latter value was based on the spectral classification for both
components and its tabulated radii, thus is accordingly uncertain.
Our "best'' value is well within the upper limits of
(see Table 2) and the ratio difference
corresponds approximately to a difference in radius of 1% of one
component.
The full-spectrum solution considers a total of 171 lines and two
continuum bandpasses in the inversion simultaneously. As for the
single-line maps, a total of 56 spectra from all phases is used.
The atomic data for these lines were taken from VALD (Vienna
Atomic Line Database; Kupka et al. 1999) with the exception
of the -values for four major neutral iron lines where we
found better values in previous papers in this series (6392.54:
-4.23; 6393.60: -1.622; 6408.018: -0.668; and 6411.6493: -0.35).
Abundances for the many chemical elements within the useable
spectral range were kept at the solar value by default but the Fe
and Ca abundance were adjusted during the imaging. The values used
in the final inversion are 7.30 for iron and 6.07 for calcium (on
the regular
scale). Both values indicate
an underabundance of these two elements relative to the solar
photosphere of 0.37 dex (
)
for Fe and 0.29 dex
(
)
for Ca. We estimate the external uncertainty
of our own determination to be not much better than 0.1 dex but
consider the underabundance to be a real effect.
![]() |
Figure 13:
Pseudo three-dimensional view of the ![]() ![]() ![]() |
Open with DEXTER |
Figure 8 shows the Doppler images of both components of CrB, one set derived from the Ca I 643.9-nm line
combination, and one set from the Fe I 643.0-nm
combination. Both lines unambiguously suggest that both components
exhibit a coexistence of cool spots at very high latitudes,
possibly even at the pole, and warm spots at low latitudes and the
equator. Our test reconstruction did not show any indications that
such a phenomenon could be introduced by an image-reconstruction
artefact. The image from the Fe-line combination is very similar to
the Ca image except for more detail and a
smaller temperature contrast between spotted and unspotted
regions. This is not surprising since the local line profile for
Fe will be narrower than for Ca and thus there will be more
resolution elements on the stellar surface. In a certain sense,
the Ca maps can be viewed as degraded Fe maps. Furthermore, the
positions of both hot and cool features agree nicely in both sets,
providing further evidence for their reality. Note that the
smaller of the two cool high-latitude spots in the Fe map (on both
components) does have a counterpart in the Ca map but at a
significantly lower contrast, such that the plots in
Fig. 8b barely reveal them. The maximum temperature
contrast photosphere minus cool spots is approximately
K on both components. The contrast of the warm
features is on average
K on both components. The
disk-integrated temperatures from our maps are 5966 K for the
primary and 5673 K for the secondary. The quality of the data and
its fits is shown in Figs.9a and 9b for the
Ca-line combination and the Fe lines, respectively.
Figures 12a, b show the data and the fits of the combined
Strömgren b and y photometry. Note that TEMPMAP not
only fits the line profiles and the light-curve shape
simultaneously, but also the b-y index.
Figure 10 shows the result from the simultaneous
inversion of all spectral information in the full wavelength range
of our spectra. Altogether, 171 spectral lines between 639-645 nm
(5.2 nm) down to an equivalent width of a few mÅ are included
in the inversion. Figure 11 gives an example of the
quality of the full-spectrum fit for phase 5
while
Fig. 12c shows the fit to the Strömgren b and b-ylight and color curve.
The
CrB surface structure exhibits a complex symmetry
within the two stellar components. We demonstrate this in a
separate figure (Fig. 13) because it is somewhat difficult
to imagine the three-dimensional relations just from the spherical
maps in Fig. 8. The phenomenology then appears to be the
following:
Indeed, a system similar to CrB is ER Vulpeculae. It is
also a close binary with two synchronized early-G dwarfs (G0V+G2V)
but in an even shorter orbit, 0.698 days, which causes partial
eclipses at even a moderate inclination. Applying the numerical
mapping technique described and tested in Vincent et al.
(1993), Piskunov (1996) and Piskunov et al.
(2001) presented Doppler images for both components of
ER Vul. Hot spots were recovered with
K
above the effective temperature near the sub-stellar points and
are presumably due to the reflection effect. Cool regions were
also detected on both components but seem to be unrelated to the
relative positions of the two stars. A single large feature on the
cooler secondary star extends almost across the entire disk. Such
enormous cool spots are usually only seen on rapidly-rotating
giants. The "record'' holder in this context is still the K0
giant in the spectroscopic binary XX Tri (HD 12545) with a single
spot ten times the area of the projected solar disk (Strassmeier
1999; for a summary of Doppler images see Strassmeier
2002). A warm belt on the opposite hemisphere of XX Tri
suggests a large-scale bipolarity of the surface magnetic field
and local mass exchange from one hemisphere to the other, in
principle very similar to our results for
CrB.
Acknowledgements
KGS is very grateful to the German Science Foundation (DFG) for support under grant STR645/1-1. The APTs were operated from funds from the Austrian Science Foundation grant S7301-AST to kgs until 2001. JBR acknowledges support from the Natural Science and Engineering Research Council of Canada (NSERC).