Issue |
A&A
Volume 519, September 2010
|
|
---|---|---|
Article Number | A51 | |
Number of page(s) | 10 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/201014143 | |
Published online | 10 September 2010 |
Improved stellar parameters of CoRoT-7![[*]](/icons/foot_motif.png)
A star hosting two super Earths
H. Bruntt1 - M. Deleuil2 - M. Fridlund3 - R. Alonso4 - F. Bouchy5,6 - A. Hatzes7 - M. Mayor4 - C. Moutou2 - D. Queloz4
1 - LESIA, Observatoire de Paris-Meudon, 5 place Jules Janssen, 92195 Meudon, France
2 - LAM, UMR 6110, CNRS/Université de Provence, 38 rue F. Joliot-Curie, 13388 Marseille, France
3 - ESA, ESTEC, SRE-SA, Keplerlaan 1, 2200AG, Noordwijk, The Netherlands
4 - Observatoire de Genève, Université de Genève, 51 Ch. des Maillettes, 1290 Sauverny, Switzerland
5 - Institut d'Astrophysique de Paris, UMR7095 CNRS, Université Pierre & Marie Curie, 98bis Bd Arago, 75014 Paris, France
6 - Observatoire de Haute-Provence, CNRS/OAMP, 04870 St Michel l'Observatoire, France
7 - Thüringer Landessternwarte Tautenburg, Sternwarte 5, 07778 Tautenburg, Germany
Received 27 January 2010 / Accepted 17 May 2010
Abstract
Context. Accurate parameters of the host stars of exoplanets
are needed for interpreting the new planetary systems. The CoRoT
satellite recently discovered a transiting rocky planet with a density
similar to the inner planets in our solar system, a so-called super
Earth. The mass was determined using ground-based follow-up
spectroscopy, which also revealed a second, non-transiting super Earth.
Aims. These planets are orbiting a relatively faint (mV=11.7)
G9V star called CoRoT-7. We wish to refine the determination of the
physical properties of the host star, which are important for the
interpretation of the properties of the planetary system.
Methods. We used high-quality spectra from HARPS at the
ESO 3.6 m and UVES at the VLT 8.2 m. We used
various methods to analyse the spectra using 1D LTE atmospheric
models. From the analysis of Fe I and Fe II
lines we determined the effective temperature, surface gravity and
microturbulence. We used the Balmer lines to constrain the effective
temperature and pressure-sensitive Mg 1b and Ca lines to constrain
the surface gravity. We analysed both single spectra and co-add spectra
to identify systematic errors. We determine the projected rotational
velocity and macroturbulence by fitting the line shapes of isolated
lines. We finally determined an approximate absolute magnitude from the
Wilson-Bappu effect.
Results. From the analysis of the three best spectra, we find
K,
,
,
and
km s-1.
The chemical composition of 20 analysed elements is consistent with
uniform scaling by the metallicity +0.12 dex. From the analysis of
spectra of stars with well-known parameters with similar parameters to
CoRoT-7 (the Sun and
Cen B) we demonstrate that our methods are robust within the claimed uncertainties. We compared the L/M
ratio with isochrones to constrain the evolutionary status. Using the
age estimate of 1.2-2.3 Gyr based on stellar activity, we
determine the mass and radius
and
.
With these updated constraints we fitted the CoRoT transit light curve
for CoRoT-7b. The revised planet radius is slightly smaller,
,
and the density becomes slightly higher,
.
Key words: stars: abundances - stars: late-type - stars: fundamental parameters
1 Introduction
The discovery of the first super Earth planet outside of the Solar system with a measured absolute
mass and radius has recently been announced, and was based on
photometric data from CoRoT (Convection, Rotation and planetary
Transits; Baglin et al. 2006).
This planet, CoRoT-7b, has a radius of
(Léger et al. 2009, hereafter LRS09),
mass
(Queloz et al. 2009), and the orbital period is about 0.85 days (LRS09).
The average density is
g cm-3 which is similar
to Mercury, Venus, and the Earth (Queloz et al. 2009).
Furthermore, a second non-transiting super Earth has been found from radial-velocity monitoring (Queloz et al. 2009). These results have only been possible thanks to
an extensive ground-based follow-up programme of the relatively faint star
CoRoT-7 (TYCHO ID 4799-1733-1;
mV = 11.7) over more than one year.
Table 1: The 10 spectra used for the spectroscopic analysis.
In the derivation of the planetary parameters, one of the most important factors is correct identification of the host star's fundamental parameters and evolutionary stage. It is particularly important to estimate the stellar radius, which is imperative for determining the absolute planetary radius. A first analysis by several of the CoRoT teams has been carried out in LRS09, based on a spectrum from the ``Ultraviolet and Visual Echelle Spectrograph'' (UVES@VLT 8.2 m) and a preliminary analysis of 53 co-added spectra from the ``High Accuracy Radial velocity Planet Searcher'' (HARPS@ESO 3.6 m).
Since then, a total of 107 spectra from HARPS have become available (Queloz et al. 2009). These spectra have higher spectral resolution and better signal-to-noise (S/N) than the UVES spectrum analysed by LRS09. We can therefore now refine the analysis of CoRoT-7 and possibly impose stronger constraints on the properties of the system. The methods we employ have been developed during the analysis of other CoRoT targets (Bruntt 2009; Fridlund et al. 2010; Deleuil et al. 2008; Moutou et al. 2008; Rauer et al. 2009). In the current paper we have expanded these tools and describe our approach in greater detail than previously. These tools will be the standard methods to apply for characterising future CoRoT targets.
2 Spectroscopic observations
We initially acquired one UVES spectrum confirming that the star is a dwarf,
meaning the absolute radius of the planet must be small (LRS09).
To constrain the mass of CoRoT-7b, a series of 107 spectra were
collected with the HARPS spectrograph between March 2008 and February 2009 (Queloz et al. 2009).
The HARPS spectrograph has a spectral resolution of 115 000 (Mayor et al. 2003),
covering the optical range from 3827 Å to 6911 Å.
With exposure times of 1800 or 2700 s, the S/N of the individual spectra varies from 30-90, depending on the conditions at the time of observation.
We used the data from the standard HARPS pipeline, and each order was divided by the blaze function to get an approximately rectified spectrum. We shifted each spectrum by the radial velocity to set it to the heliocentric rest frame, using the values from Queloz et al. (2009). Each spectrum was rebinned to the same wavelength grid with a constant step of 0.01 Å.
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Figure 1: A section of the CoRoT 7/H1-7 spectrum illustrating how the spectrum is normalised with rainbow. The top panels show a wide range and the lower panels show a zoom near the edge of the same echelle order. The neighbouring order is shown with a short-dashed line. The thick long-dashed line is a spline fit to the continuum windows marked by circles. The normalised spectrum agrees reasonably well with the template synthetic spectrum (smooth green line). The agreement between the two overlapping orders is good and will finally be merged to improve the S/N. |
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We suspected that some of the exposures could be affected by reflected
moonlight. While this data can be used for measuring of the radial
velocity variation, scattered light can potentially affect the relative
line depths and hence systematically affect the analysis. In order to
identify such potential systematic errors, we made different
combinations of the spectra as presented in Table 1. We selected seven spectra acquired during dark time,
and with the highest S/N, computed in nearly line-free regions around 5830 Å.
The co-addition, order per order, of these 7 spectra gives the H1-7 combined spectrum.
We also analysed three individual HARPS spectra with the highest S/N (H1, H2, and H3).
We finally co-added all HARPS spectra using weights
to get the H1-107 spectrum.
A preliminary analysis of the UVES spectrum of CoRoT-7 was described in LRS09. This spectrum has a lower resolution (R=65 000) than HARPS. We include our updated analysis here for completion.
To calibrate our methods, we analysed three HARPS spectra of the Sun,
available from the ESO/HARPS intrumentation
website.
The spectra were acquired by observing Ceres, Ganymede and the Moon,
and have S/N around 250, 350, and 450, respectively.
The ``Moon'' solar spectrum was observed in
the high-efficiency EGGS mode, which has resolution R=80 000.
In addition, we analysed a co-added HARPS spectrum of
Cen B, which has similar parameters to CoRoT-7.
Cen B has been studied using direct, model-independent methods (interferometry, binary orbit),
so its absolute parameters (mass, radius, luminosity and
)
are known
with high accuracy (Porto de Mello et al. 2008).
We use this to evaluate our indirect methods that rely on the validity
of the spectral analysis using 1D LTE atmospheres.
3 Versatile wavelength analysis (VWA)
We used the VWA package (Bruntt 2009; Bruntt et al. 2010,2004,2008)
to analyse the spectra listed in Table 1.
It can perform several tasks from normalisation of the spectrum, selection of
isolated lines for abundance analysis, iterative fitting of atmospheric parameters,
and determination of the projected rotational velocity ().
The basic tools of VWA have been described in previous work (Bruntt et al. 2002),
and here we give a more complete description
of some additional tools in relation to the results we determine for CoRoT-7.
3.1 Normalisation of the spectra
In Fig. 1 we illustrate the principles of the rainbow program that we used to normalise the spectra. The top panels show a wide wavelength range in a single order, and the bottom panels show a zoom near the edge of the same echelle order. The user must manually identify continuum points by comparing the observed spectrum with a template, which is usually a synthetic spectrum calculated with the same approximate parameters as the star. The top panel in Fig. 1 shows the spectrum before normalisation where eight continuum points have been identified. A spline function - optionally a low-order polynomial - is fitted through these points. The spectrum from the adjacent echelle order is shown. The lower panel shows the normalised spectrum along with the template spectrum. The agreement with the adjacent order is very good, and there is acceptable agreement with the template. The overlapping orders are finally merged to improve the S/N by up to 40%.
When the continuum points have been marked for all orders, the normalised spectrum is saved. When the first spectrum has been normalised, the continuum points are re-used for the other spectra. We then carefully check the normalisation in each case since several readjustments are needed, especially in the blue end of the spectrum.
The high S/N in the spectrum shown in Fig. 1 would indicate that the continuum is determined to better than 0.5%. This is only true if the adopted synthetic template spectrum is identical to that of the star, i.e. the atomic line list is complete and the temperature and pressure structure of the atmosphere model represents the real star. From comparison of the template and normalised spectra in several regions (as in Fig. 1), we estimate that the continuum is correct to about 0.5%, while discrepancies of 1-2% may occur in regions where the degree of blending is high, and in the region of the wide Balmer lines and the Mg I b lines.
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Figure 2:
Abundances of Fe I and Fe II shown as open and solid red circles, respectively, and plotted versus equivalent width and excitation potential (plot from the vwares program). The abundances are from the analysis of the H1-7 spectrum for four different sets of
atmospheric models. The top panel is for the preferred model, the second panel is for
a lower
|
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![]() |
Figure 3: Abundances determined from the H-107 spectrum for six elements plotted versus equivalent width and excitation potential. Solid and open symbols are used for neutral and ionised Fe lines, respectively. |
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3.2 Determination of T
and
from Fe
lines
This part of the VWA program has been described in some detail by Bruntt et al. (2002)
and we will specify some updated details here. VWA uses 1D LTE atmosphere models
interpolated in grids from MARCS (Gustafsson et al. 2008) or modified ATLAS9 models
(Heiter et al. 2002). We adopted MARCS models for this study.
The atomic line data we extracted from VALD (Kupka et al. 1999),
which is a collection from many different sources.
The synthetic profiles we computed with synth (Valenti & Piskunov 1996).
The VWA abundances we measured differentially with respect to a solar spectrum.
We used the FTS spectrum by Kurucz et al. (1984), which was published in electronic
form by Hinkle et al. (2000). We found that making a differential abundance analysis
significantly improves the precision on the determined
and
(see Bruntt et al. 2008).
We assess the question of accuracy in Sects. 3.4 and 6.1.
VWA consists of three main programs written in IDL.
Each program has a graphical user interface, called vwaview, vwaexam, and vwares.
In vwaview the user can inspect the observed spectrum and select a set of
isolated lines. They are fitted iteratively by computing synthetic profiles and
adjusting the abundance until the observed and synthetic
profiles have identical equivalent widths within a fixed wavelength range.
The program vwaexam is used to inspect how well the synthetic profiles
fit the observed lines. The user can manually reject lines or base the rejection
on objective criteria such as reduced
values and the relative line depths.
It takes about one hour to fit 500 lines on a modern laptop.
This is done with the program vwatask for fixed values of
,
and
.
The process is then repeated
with various values of these parameters to measure the sensitivity of each line.
The user can then investigate this sensitivity in the program vwares.
Table 2:
Determined atmospheric parameters for CoRoT-7, the Sun, and Cen B.
In Fig. 2 we show an example from vwares using the H1-7 spectrum of CoRoT-7.
The abundances from Fe I and Fe II lines are plotted
versus equivalent width (EW; left panels) and excitation potential (EP; right panels)
for four different sets of atmospheric parameters.
The top panels are for the preferred
parameters where we have minimised the correlation of Fe I with both EW and EP
and the mean abundances
of Fe I and Fe II agree. The second panel is for
decreased by 300 K,
resulting in a clear correlation with EP, and Fe I and Fe II
no longer agree. For the third panel,
was decreased by 0.3 dex, leading
to a low mean abundance of Fe II. The bottom panel is for microturbulence increased by
0.4 km s-1, which leads to correlations of Fe I with both EW and EP.
From such analyses we can determine the ``internal'' uncertainty
on the atmospheric parameters (see Bruntt et al. 2008, for a discussion).
In Fig. 3 we show an example of the abundances of six elements determined for the H1-107 spectrum. The mean abundance and rms error is given in the right panels. While Fe has the most lines, Ti, Cr, and Ni also show no strong correlation with equivalent with or excitation potential, indicating that the atmospheric model parameters are correct.
The atmospheric parameters for the six spectra of CoRoT-7 are summarised in Table 2.
The applied method is indicated in angled brackets in the first row.
There is good agreement between these results, although the H1 spectrum gives
a systematically lower
and
.
This is due to the correlation
between the two parameters as also noted by Bruntt (2009).
He proposed that this degeneracy could be a problem for spectra with relatively
low S/N (H1 has S/N=57).
For our final value of
and
of CoRoT-7, we adopt the weighted
mean value of the analysis of the three composite spectra: H1-7, H1-107, and U1:
K,
,
km s-1.
The uncertainties stated here are internal errors.
We assess the question of ``realistic uncertainties'' in Sect. 6.
3.3 Determination of
from wide lines
The surface gravity of late-type stars can be determined from the Mg I b lines,
the Na I D, and the Ca lines at

















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Figure 4:
The sensitivity of synthetic Ca lines fitted to the observed spectra
of the Sun ( top panel; Ganymede spectrum) and CoRoT-7 ( bottom panel; H1-7 spectrum).
The rectangles mark the areas used to compute the reduced |
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Table 3: The adjusted Van der Waals constants compared to the values from VALD.
We found that the Mg I b line in CoRoT-7 is not very sensitive and gave lower values (
)
than the Ca lines (
).
The reason may be the high degree of blending with weaker lines for such a late type star.
Since the higher value of
is in good agreement with the result using Fe I- II, we neglect the results for the Mg I b lines. There is good agreement for the
from the individual spectra. For the value of
we adopt the weighted mean of the three composite spectra:
.
The stated error does not include systematic errors, see Sects. 3.4 and 6.1.
3.4 Results for the Sun and
Cen B
It is important to confirm that the employed spectroscopic methods produce
trustworthy results. We therefore analysed two fundamental stars for which
and
are known with very high accuracy: the Sun and
Cen B.
We analysed three single HARPS spectra of the Sun and one co-added spectrum of
Cen B.
The results are summarised in Table 2.
The parameters from the three solar spectra agree very well with the solar values.
The canonical value for
is 5777 K (Cox 2000), and
calculated from the Solar mass and radius is 4.437.
The largest deviation is 20 K for
based on the analysis of Fe I- II lines.
The surface gravity is constrained by several methods (Fe I- II, Mg I, Ca lines),
but the largest deviation from the canonical value is only 0.1 dex.
From Table 2 it is seen that some
lines are less useful for constraining
:
Ca
Å is the least sensitive line.
For the weighted average, using the Mg and three Ca lines,
we find excellent agreement for the three Solar HARPS spectra:
,
,
and
.
For Cen B we find
K,
,
and
.
The quoted uncertainties do not include systematic errors.
For this nearby binary star,
and
can be determined by direct methods; i.e., methods
are only weakly dependent on models. The angular diameter has been measured by Kervella et al. (2003).
Using the updated parallax from van Leeuwen (2007), we determine
the radius
.
The mass has been determined from the binary orbit by Pourbaix et al. (2002):
.
Coincidentally, this mass is nearly identical to that of CoRoT-7 (LRS09).
Combing the mass and radius (
)
gives a very accurate
value of the surface gravity for
Cen B:
.
This is in very good agreement with our spectroscopic determination.
As for CoRoT-7, Mg I b is not useful for constraining
.
The
can be determined from the angular diameter
and the bolometric flux:
(Bruntt et al. 2010),
agreeing with the result from VWA.
Porto de Mello et al. (2008) listed the results of 14 different analyses of
Cen B,
based on different methods and quality of the data.
Our value of
is in good agreement with previous determinations
but our metallicity is slightly higher than most previous estimates.
To conclude, our analysis of the spectra of the Sun and Cen B show that we
can reliably determine
and
.
Since these two stars bracket CoRoT-7 in terms of spectral type,
we have confidence that the spectroscopic results are robust and
do not suffer from significant systematic errors.
We discuss the uncertainties on the spectroscopic parameters in Sect. 6.1.
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Figure 5:
Mean abundances of 20 elements in CoRoT-7 determined from the H1-107
spectrum. Circle and box symbols are used for neutral and singly
ionised lines, respectively. The horizontal bar indicates the mean
metallicity and the 1- |
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Table 4: Abundances relative to the Sun for 20 elements in CoRoT-7, with the number of lines used for each element.
3.5 The chemical composition of CoRoT-7
The abundance pattern of CoRoT-7 relative to the Sun
is shown in Fig. 5 for the H1-107 spectrum,
and in Table 4 we list the individual abundances of 20 elements.
We adopted this spectrum since it has the highest S/N, but we note that the
other spectra give very similar results.
The mean metallicity is computed from the mean of the metal abundances for species
with at least 30 lines in the spectrum: Ti, Fe, and Ni. The mean value is
,
where the uncertainty includes the uncertainty
on
,
,
and
.
It can be seen that all elements agree with
a scaling of +0.12 dex relative to the solar abundance.
For elements with a few lines available (n<3), we assume an uncertainty of 0.1 dex.
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Figure 6:
Contours showing the reduced |
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3.6 Determination of
and
From the detailed profile shapes of isolated lines, one can
ultimately extract information about the granulation
velocity fields (Dravins 2008). However,
this is impossible with our data where each
single spectrum only has
.
The intrinsic shape of a spectral line is determined by several factors (Gray 2008),
but the broadening due to stellar rotation and velocity fields in the atmosphere
can be described to a good approximation by two parameters:
and macroturbulence (
).
These two parameters describe the projected velocity field due to
rotation of a limb-darkened sphere
and the movement of granules due to convection, respectively.
To measure
and
,
we selected 64 isolated lines of
different metal species: Ni, Ca, Ti, Cr, and Fe.
The lines lie in the range 5800-6450 Å with equivalent
widths from 25-125 mÅ.
For each line we determine the small wavelength shifts needed
so the observed line core fits the synthetic spectrum.
This was done by fitting a Gaussian to the line cores of the observed and synthetic spectra.
We then fitted the abundance of the line
for the adopted
,
,
and
.
We made a grid of values for
and
from 0-6 km s-1 with steps of 0.15 km s-1.
For each grid point, we convolved the synthetic spectrum and computed the reduced
of the
fit to the observed line.
In Fig. 6 we show examples of the
contours for four fitted lines.
The generally low reduced
values indicate that our
simple representation of the line broadening is successful.
It can be seen that there is a strong
correlation between the two parameters. The typical
value for a G9V star is
about 1-2 km s-1 (Gray 2008).
For this range the
values for
is below 2.5 km s-1 for nearly all lines.
From this analysis we find mean values of
km s-1 and
km s-1.
From the analysis of the contours, as shown in Fig. 6,
we can place a firm upper limit of
km s-1.
From the transit light curve, LRS09 have constrained
the inclination angle to be
(see their Fig. 19).
Thus, the equatorial rotational velocity is
km s-1.
This result is only valid if we assume that the inclination of the rotation axis of the star
is the same as the inclination of the orbit.
LRS09 propose that the rotation period is
23 days
,
based on the variation in the CoRoT light curve.
Using the radius determined in Sect. 6, we get
km s-1,
in agreement with value determined from the spectroscopy.
In Table 2 we list the mean values of
and
that
we have determined for several of the spectra. We did not use the U1 spectrum since it has a lower
resolution than the HARPS spectra. We also did not consider the H1-107 spectrum since it is
a combination of so many spectra, which inevitably leads to less well-defined line shapes.
4 Spectroscopy made easy (SME)
In an independent analysis of the H1 and H1-107 spectra, we used the SME package (version 2.1, Valenti & Piskunov 1996; Valenti & Fischer 2005). This code uses a grid of stellar models (Kurucz models or MARCS models) to iteratively determine the fundamental stellar parameters. This is done by fitting the observed spectrum to a synthesised spectrum and minimising the discrepancies through a non-linear least-squares algorithm. SME is based on the philosophy (Valenti & Piskunov 1996) that, by matching synthetic spectra to observed line profiles, one can extract the information in the observed spectrum and search among stellar and atomic parameters until the best fit is achieved.
We used a large number of spectral lines,
e.g. the Balmer lines (the extended wings are used to constrain
),
Na I D, Mg I b, and Ca I (for
and
)
and metal lines (to constrain the abundances).
Furthermore, the iterative fitting provided information on micro- and macroturbulence and
.
By fitting the extended wings of the H
and H
Balmer lines,
we determined the
to be 5200 K and 5100 K respectively.
Using instead the Na I doublet at
5890 Å, we found a
of 5280 K.
The lower value derived from the H
line wings is explained by
the many metal lines contributing to the profile.
We tried to use the Mg I b triplet to evaluate
,
but as for the VWA analysis,
we find that it is difficult to assign the continuum level, so instead we used the wide
Ca I lines. From the SME analysis, we find the
to be 4.43 from Mg I and 4.49 from Ca I. Our evaluation of the metallicity is
and
km s-1.
The uncertainties using SME determined by Valenti & Fischer (2005), found from a large sample
of more than 1000 stars, are 44 K in
,
0.06 dex in
,
and 0.03 dex in [M/H],
which we adopt for our SME analysis of CoRoT-7.
In a few cases, Valenti & Fischer (2005) find offsets of up to 0.3 dex for
.
When we compared the results for CoRoT-7 for different lines and methods used to constrain
,
we found a scatter of 0.06 dex.
This is consistent with the results of Valenti & Fischer (2005), and we assign this as the 1-
uncertainty.
In summary, the parameters determined with SME for the H1 and H1-107 spectra of CoRoT-7 give fully consistent results with the more extensive analysis with VWA. Our results from the SME analysis are given in Table 2.
5 Absolute magnitude from the Wilson-Bappu effect
The width of the emission peaks seen in the core of the Ca II H & K lines (3934.8 and 3969.7 Å) in late-type stars are directly correlated to the value of ,
and hence to the mass and radius of the star.
This implies that the width can be calibrated in terms of the absolute luminosity (Gray 2008).
The calibration of the absolute magnitude is of the form:
,
where W0 is the width at the zero-level of the emission component,
and where the constants a and b also need to be properly calibrated.
This is usually done using data from clusters, and we have used the recent calibration
of Pace et al. (2003), who found a = -18.0 and b = 33.2 with a quoted uncertainty of 0.6 mag on MV.
In Fig. 7, we show the Ca II H & K lines of CoRoT-7.
The emission components with self-reversal in the line cores are clearly seen.
By measuring the width of both the H- and the K-lines, following the method of Pace et al. (2003),
we find an absolute magnitude of
.
Given the spectroscopic effective temperature,
the location in the Hertzsprung-Russell diagram indicates
that CoRoT-7 is a main sequence star with spectral type in the range is G8V-K0V.
That the star is not evolved is in good agreement with the
determination.
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Figure 7: The emission component of the Ca II H & K line of CoRoT-7. The self-reversal in the emission cores is shown in the insets. |
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Table 5: Parameters of CoRoT-7. Parameters from isochrones/tracks use the age limit A<2.3 Gyr from LRS09.
6 Evolutionary status
We now evaluate the atmospheric parameters determined above for CoRoT-7 and compare with evolutionary models to constrain the mass, radius, and luminosity.
6.1 Final atmospheric parameters of CoRoT-7
There is generally good agreement for determination of
using
VWA and SME. With the VWA method we only used Fe I- II lines, while
with SME we also used the Balmer lines to constrain
.
As mentioned,
the quoted uncertainties in Table 2 only include the intrinsic
error of the method, i.e. by varying the model parameters. However, the
temperature and pressure profile of the atmospheric model may not fully
represent the actual star. From the analysis of the Sun and
Cen B, we found
good agreement for their
and
determined from model-independent methods
(see Sect. 3.4).
Thus, there appears to be no large systematic errors.
Bruntt et al. (2010) have analysed a larger sample of stars, comparing
the spectroscopic
s with those from fundamental methods (as done for
Cen B here)
and find a systematic offset in
of
K.
We included this offset to get the final value
K.
We used several pressure-sensitive spectral features to constrain
,
and the mean value we adopt is
.
For
and
,
we added systematic errors on 50 K and 0.05 dex,
based on the discussion by Bruntt et al. (2010).
The mean metallicity is found to be
,
where we increased the uncertainty because we included of systematic
errors on
and
.
These are our final estimates for the parameters of
CoRoT-7 as summarised in Table 5.
Our new results for the fundamental parameters are in good agreement with LRS09.
They find
K as a mean value of different groups
using different spectroscopic analyses of the UVES spectrum.
They also use a calibration with 2MASS infrared photometry, taking interstellar reddening into account,
yielding
K. They find
using the Fe I- II equilibrium criterion and the Mg I b and Na I D lines,
which is also in good agreement with our value.
LRS09 found a slightly lower metallicity,
(our revised value for the same spectrum is
).
Several strong lines were included in that analysis,
while in this study we only use Fe I lines with
mÅ.
For other elements (and Fe II), we included lines with
mÅ.
This choice was made because the strong lines start to be saturated
and are therefore less sensitive to changes in the atmospheric parameters.
For comparison, 250 Fe I and 18 Fe II lines
were used by LRS09 while we used only 143 and 16, respectively.
In our analysis we used Fe lines in the wavelength range 4880-6865 Å,
while LRS09 included several lines in the blue region (4515-6865 Å).
The current version of VWA does not take molecular lines into account,
which start to become a problem for such a cool star,
especially at short wavelengths.
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Figure 8:
BASTI isochrones with different ages and metallicities.
Filled circles and boxes mark selected mass points.
The determined L/M ratios for CoRoT-7, |
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Figure 9:
Four ASTEC evolution tracks for different masses and metallicities.
A track for
|
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6.2 Stellar mass, luminosity, and radius
In some cases the modelling of the transit light curve can be
used to obtain the mean density of the star.
However, as pointed out by LRS09,
the shallow eclipse combined with stellar activity modulating the light curve
seriously hampers such analyses. From the spectroscopic value of
we
have an estimate of
g = G M/R2. Multiplying this with the
relation
,
we can eliminate the radius,
i.e.
.
Thus, we determine the luminosity-mass ratio:
.
The uncertainty is dominated by the uncertainty on the surface gravity.
In Figs. 8 and 9,
we compare this estimate with isochrones from BASTI (Pietrinferni et al. 2004)
and evolution tracks from ASTEC (Christensen-Dalsgaard 2008).
These models do not include overshoot,
but this has no impact on low-mass stars such as CoRoT-7.
The mixing-length parameter for the ASTEC grid is
.
The models express metallicity in terms of the heavy element mass fraction, Z.
To convert each Z to spectroscopic values, we adopt the solar value
(Caffau et al. 2009) with an assumed uncertainty of 0.002.
This corresponds to an increase in the uncertainty of [Fe/H] by 0.05 dex.
In Fig. 8 we show two sets of isochrones with metallicity
and +0.28 for ages of 2 and 7 Gyr,
with several mass points indicated in the range 0.8 to 1.1
.
The lower metallicity is close to that of CoRoT-7, and the higher metallicity represents
Cen B.
The uncertainty on L/M for CoRoT-7 is relatively large,
so we cannot constrain the mass without further constraints.
Fortunately, LRS09 estimate the age of CoRoT-7 from the rotation period and the
activity index of the Ca H & K lines: 1.2-2.3 Gyr.
By adopting this age limit,
we can estimate the mass and radius from the isochrones:
and
.
In Fig. 9 we show four selected ASTEC evolution tracks that
represent the Sun, CoRoT-7 (two tracks), and Cen B.
The dashed part of each track is for ages above these adopted limits:
4.6 Gyr for the Sun (1.00
track), 2.3 Gyr for CoRoT-7 (0.92 and 0.86
),
and 6.5 Gyr for
Cen B (0.94
,
see Miglio & Montalbán 2005, for discussion of the age of
Cen A+B).
Furthermore, the tracks all end at 14 Gyr.
It is seen that the Sun is quite well represented,
although the L/M ratio is quite high at 4.6 Gyr, but
this is explained by the available track having slightly too low metallicity.
The 0.94
track for
Cen B agrees with L/M within the 1-
limit.
For CoRoT-7, the 0.86
track does not reach the determined
and L/M in
2.3 Gyr. However, the 0.92
track agrees with the
and L/M.
From similar tracks we determine these limits on the mass and radius of CoRoT-7:
and
.
This is in good agreement with the result from the BASTI tracks.
As our final result, we adopt the mean radius and mass determined from the two sets of models:
and
.
LRS09 determined slightly different values for the mass and radius.
They used the STAREVOL evolution tracks (Palacios, priv. comm.)
with slightly different stellar atmospheric values.
Their values are
and
(i.e.
),
which agree quite well with our revised results given in Table 5.
From comparison with the BASTI and ASTEC models the determined L/M of CoRoT-7
seems to be too high, although the uncertainty is large.
To determine the luminosity, we therefore adjust
the ratio by ,
,
and multiply by the inferred mass to get
.
The determined mass and radius from the isochrones correspond to
a surface gravity
,
which is slightly higher
(1.6
)
than the spectroscopic value of
.
To confirm that the BASTI and ASTEC models can be used for CoRoT-7
we also plot the Sun and Cen B in Figs. 8 and 9.
For
Cen B the uncertainty is much less than for CoRoT-7:
.
Miglio & Montalbán (2005) determined an age of about 6.5 Gyr for the
Cen A+B system,
and with our metallicity of +0.3 dex, there is good agreement with both sets of models.
From comparison with the BASTI and ASTEC models, we get the mass
,
which agrees well with the dynamical mass of
.
The radius is
,
where the interferometric result is
.
Combining the mass and radius from the comparison with the isochrones,
we get
,
which is in good agreement with the spectroscopic value of
.
7 Discussion and conclusion
We have presented a detailed spectroscopic analysis
of the planet-hosting star CoRoT-7.
The analysis is based on HARPS spectra, that have
higher S/N and better resolution than the
UVES spectrum used to get a preliminary result (LRS09).
We analysed both individual spectra from different nights
and co-added spectra, and found excellent agreement.
Only for one of the single HARPS spectra did we find
a systematic error in
and
,
which is explained by the low S/N.
We described in detail the VWA tool used
to determine of the atmospheric parameters
and
with Fe I- II lines and the pressure-sensitive
Mg I b and Ca lines. We used the SME tool to
also analyse the Balmer and Na I lines. We find
excellent agreement between the different methods.
To evaluate the evolutionary status (age)
and fundamental stellar parameters (mass, radius) we
compared the observed properties of CoRoT-7 with
theoretical isochrones. From the spectroscopic
and
we can estimate L/M. We compared this with
isochrones but find that the uncertainty is too large
to constrain the evolutionary status.
However, by imposing constraints on the stellar age (1.2-2.3 Gyr from LRS09),
we can constrain the mass and radius to
and
.
This is a only slight revision of the original value
from LRS09, who used a lower metallicity.
The relatively large uncertainty of 7% on
the stellar radius directly affects the accuracy
of the determined radius and density of the transiting planet, CoRoT-7b.
We used the new stellar parameters to fit the transit light curve reported
by LRS09. We used the formalism of Giménez (2006) with fixed
limb-darkening coefficients, and we explored the parameter space, which is consistent
with the stellar parameters and their associated uncertainty. The constraints to
the fit include the orbital inclination (
), the phase of transit
ingress
(
), and the ratio of planet-to-star radius
(
). We refer to Sect. 9 in LRS09 for a description
of the methodology of the fitting procedure.
With the new stellar parameters, we determined the radius of
the planet to be slightly smaller with radius
(LRS09 found
).
The slightly smaller radius is mainly due to
our revision of the stellar radius.
The new stellar mass and the updated inclination were used
with the published values of the ephemeris (LRS09)
and radial velocity semiamplitude (Queloz et al. 2009) to estimate the mass
of the planet CoRoT-7b as
.
Combined with the radius of the planet, this results in a density of
,
which is consistent, but slightly denser than the reported value
of
g cm-3 in the previous work.
We also analysed spectra of the Sun and Cen B,
observed with the HARPS spectrograph. For these stars
the fundamental parameters are known with very good accuracy,
so they can be used to validate our methods
for the much fainter star CoRoT-7.
We compared the spectroscopically determined
and
with the values from fundamental methods
for
Cen B, i.e. using the binary dynamical mass and the interferometric
determination of the radius. There is excellent
agreement within 1-
,
indicating that
the adopted uncertainties are realistic.
This gives us some confidence that we can use theoretical
evolution models to constrain the radii and masses of stars,
but requires that limits be put on the stellar age.
The exoplanet host star CoRoT-7 is a slowly rotating, metal rich, type G9V star. The star is relatively faint, and its fundamental parameters can only be determined through indirect methods. The expected future discoveries of similar planet systems with CoRoT and Kepler, will also be limited by our ability to characterise the host stars. In the case of Kepler we have the additional advantage, that for the brightest stars, the solar-like pulsations can be used to constrain the stellar radius (Christensen-Dalsgaard et al. 2010). This analysis also relies on evolution models but will be able to constrain the stellar radius to about 2% (Stello et al. 2009; Basu et al. 2010). For most of the Kepler targets, astrometric parallaxes will be available, while for CoRoT-7 we must wait for the GAIA mission.
AcknowledgementsWe are thankful to Nikolai Piskunov (Uppsala Astronomical Observatory) for making SME available to us and for answering numerous questions. We are grateful for the availability of the VALD database for the atomic parameters used in this work. The spectra we used are from observations made with ESO Telescopes at the La Silla and Paranal Observatories under programme IDs 081.C-0413(C), 082.C-0120, 082.C-0308(A), 282.C-5036(A), and 60.A-9036(A).
References
- Baglin, A., Michel, E., Auvergne, M., & The COROT Team. 2006, in Beyond the spherical Sun ,ESA Special Publication, 624, Proceedings of SOHO 18/GONG 2006/HELAS I [Google Scholar]
- Barklem, P. S., Piskunov, N., & O'Mara, B. J. 2000, A&AS, 142, 467 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed] [Google Scholar]
- Basu, S., Chaplin, W. J., & Elsworth, Y. 2010, ApJ, 710, 1596 [NASA ADS] [CrossRef] [Google Scholar]
- Bruntt, H. 2009, A&A, 506, 235 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruntt, H., Catala, C., Garrido, R., et al. 2002, A&A, 389, 345 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruntt, H., Bikmaev, I. F., Catala, C., et al. 2004, A&A, 425, 683 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruntt, H., De Cat, P., & Aerts, C. 2008, A&A, 478, 487 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bruntt, H., Bedding, T. R., Quirion, P., et al. 2010, MNRAS, 746 [Google Scholar]
- Caffau, E., Maiorca, E., Bonifacio, P., et al. 2009, A&A, 498, 877 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Christensen-Dalsgaard, J. 2008, Ap&SS, 316, 13 [NASA ADS] [CrossRef] [Google Scholar]
- Christensen-Dalsgaard, J., Kjeldsen, H., Brown, T. M., et al. 2010, ApJ, 713, L164 [NASA ADS] [CrossRef] [Google Scholar]
- Cox, A. N. 2000, Allen's astrophysical quantities (New York: AIP Press, Springer) [Google Scholar]
- Deleuil, M., Deeg, H. J., Alonso, R., et al. 2008, A&A, 491, 889 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dravins, D. 2008, A&A, 492, 199 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fridlund, M., Hébrard, G., Alonso, R., et al. 2010, A&A, 512, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fuhrmann, K., Pfeiffer, M., Frank, C., Reetz, J., & Gehren, T. 1997, A&A, 323, 909 [NASA ADS] [Google Scholar]
- Giménez, A. 2006, A&A, 450, 1231 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gray, D. F. 2008, The Observation and Analysis of Stellar Photospheres (Cambridge University Press) [Google Scholar]
- Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Heiter, U., Kupka, F., van't Veer-Menneret, C., et al. 2002, A&A, 392, 619 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hinkle, K., Wallace, L., Valenti, J., & Harmer, D. 2000, Visible and Near Infrared Atlas of the Arcturus Spectrum 3727-9300 A (San Francisco: ASP) [Google Scholar]
- Kervella, P., Thévenin, F., Ségransan, D., et al. 2003, A&A, 404, 1087 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kupka, F., Piskunov, N., Ryabchikova, T. A., Stempels, H. C., & Weiss, W. W. 1999, A&AS, 138, 119 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed] [Google Scholar]
- Kurucz, R. L., Furenlid, I., Brault, J., & Testerman, L. 1984, Solar flux atlas from 296 to 1300 nm (New Mexico, USA: National Solar Observatory, Sunspot) [Google Scholar]
- Léger, R., Schneider, B. P., Fridlund, M., et al. 2009, A&A, 506, 287 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- Mayor, M., Pepe, F., Queloz, D., et al. 2003, The Messenger, 114, 20 [NASA ADS] [Google Scholar]
- Miglio, A., & Montalbán, J. 2005, A&A, 441, 615 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Moutou, C., Bruntt, H., Guillot, T., et al. 2008, A&A, 488, L47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pace, G., Pasquini, L., & Ortolani, S. 2003, A&A, 401, 997 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pietrinferni, A., Cassisi, S., Salaris, M., & Castelli, F. 2004, ApJ, 612, 168 [NASA ADS] [CrossRef] [Google Scholar]
- Porto de Mello, G. F., Lyra, W., & Keller, G. R. 2008, A&A, 488, 653 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pourbaix, D., Nidever, D., McCarthy, C., et al. 2002, A&A, 386, 280 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Queloz, D., Bouchy, F., Moutou, C., et al. 2009, A&A, 506, 303 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rauer, H., Queloz, D., Csizmadia, S., et al. 2009, A&A, 506, 281 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stello, D., Chaplin, W. J., Bruntt, H., et al. 2009, ApJ, 700, 1589 [NASA ADS] [CrossRef] [Google Scholar]
- Valenti, J. A., & Fischer, D. A. 2005, ApJS, 159, 141 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Valenti, J. A., & Piskunov, N. 1996, A&AS, 118, 595 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van Leeuwen, F. 2007, A&A, 474, 653 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
Footnotes
- ... CoRoT-7
- The CoRoT space mission, launched on December 27, 2006, has been developed and is being operated by CNES, with the contribution of Austria, Belgium, Brazil, ESA, The Research and Scientific Support Department of ESA, Germany and Spain.
- ...
website
- URL: http://www.eso.org/sci/facilities/lasilla/instruments/harps/inst/monitoring/sun.html
- ... days
- We adopt an uncertainty on the rotation period of 2 days.
All Tables
Table 1: The 10 spectra used for the spectroscopic analysis.
Table 2:
Determined atmospheric parameters for CoRoT-7, the Sun, and Cen B.
Table 3: The adjusted Van der Waals constants compared to the values from VALD.
Table 4: Abundances relative to the Sun for 20 elements in CoRoT-7, with the number of lines used for each element.
Table 5: Parameters of CoRoT-7. Parameters from isochrones/tracks use the age limit A<2.3 Gyr from LRS09.
All Figures
![]() |
Figure 1: A section of the CoRoT 7/H1-7 spectrum illustrating how the spectrum is normalised with rainbow. The top panels show a wide range and the lower panels show a zoom near the edge of the same echelle order. The neighbouring order is shown with a short-dashed line. The thick long-dashed line is a spline fit to the continuum windows marked by circles. The normalised spectrum agrees reasonably well with the template synthetic spectrum (smooth green line). The agreement between the two overlapping orders is good and will finally be merged to improve the S/N. |
Open with DEXTER | |
In the text |
![]() |
Figure 2:
Abundances of Fe I and Fe II shown as open and solid red circles, respectively, and plotted versus equivalent width and excitation potential (plot from the vwares program). The abundances are from the analysis of the H1-7 spectrum for four different sets of
atmospheric models. The top panel is for the preferred model, the second panel is for
a lower
|
Open with DEXTER | |
In the text |
![]() |
Figure 3: Abundances determined from the H-107 spectrum for six elements plotted versus equivalent width and excitation potential. Solid and open symbols are used for neutral and ionised Fe lines, respectively. |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
The sensitivity of synthetic Ca lines fitted to the observed spectra
of the Sun ( top panel; Ganymede spectrum) and CoRoT-7 ( bottom panel; H1-7 spectrum).
The rectangles mark the areas used to compute the reduced |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Mean abundances of 20 elements in CoRoT-7 determined from the H1-107
spectrum. Circle and box symbols are used for neutral and singly
ionised lines, respectively. The horizontal bar indicates the mean
metallicity and the 1- |
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Contours showing the reduced |
Open with DEXTER | |
In the text |
![]() |
Figure 7: The emission component of the Ca II H & K line of CoRoT-7. The self-reversal in the emission cores is shown in the insets. |
Open with DEXTER | |
In the text |
![]() |
Figure 8:
BASTI isochrones with different ages and metallicities.
Filled circles and boxes mark selected mass points.
The determined L/M ratios for CoRoT-7, |
Open with DEXTER | |
In the text |
![]() |
Figure 9:
Four ASTEC evolution tracks for different masses and metallicities.
A track for
|
Open with DEXTER | |
In the text |
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