Issue |
A&A
Volume 597, January 2017
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Article Number | A137 | |
Number of page(s) | 13 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/201629505 | |
Published online | 23 January 2017 |
The radii and limb darkenings of α Centauri A and B
Interferometric measurements with VLTI/PIONIER⋆
1 Unidad Mixta Internacional Franco-Chilena de Astronomía (CNRS UMI 3386), Departamento de Astronomía, Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, Chile
e-mail: pkervell@das.uchile.cl
2 LESIA (UMR 8109), Observatoire de Paris, PSL Research University, CNRS, UPMC, Univ. Paris-Diderot, 5 Place Jules Janssen, 92195 Meudon, France
e-mail: pierre.kervella@obspm.fr
3 Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Lagrange UMR 7293, CS 34229, 06304 Nice Cedex 4, France
4 European Southern Observatory, Alonso de Córdova 3107, Casilla 19001, Santiago 19, Chile
Received: 8 August 2016
Accepted: 11 October 2016
The photospheric radius is one of the fundamental parameters governing the radiative equilibrium of a star. We report new observations of the nearest solar-type stars α Centauri A (G2V) and B (K1V) with the VLTI/PIONIER optical interferometer. The combination of four configurations of the VLTI enable us to measure simultaneously the limb darkened angular diameter θLD and the limb darkening parameters of the two solar-type stars in the near-infrared H band (λ = 1.65 μm). We obtain photospheric angular diameters of θLD(A) = 8.502 ± 0.038 mas (0.43%) and θLD(B) = 5.999 ± 0.025 mas (0.42%), through the adjustment of a power law limb darkening model. We find H band power law exponents of α(A) = 0.1404 ± 0.0050 (3.6%) and α(B) = 0.1545 ± 0.0044 (2.8%), which closely bracket the observed solar value (α⊙ = 0.15027). Combined with the parallax π = 747.17 ± 0.61 mas previously determined, we derive linear radii of RA = 1.2234 ± 0.0053 R⊙ (0.43%) and RB = 0.8632 ± 0.0037 R⊙ (0.43%). The power law exponents that we derive for the two stars indicate a significantly weaker limb darkening than predicted by both 1D and 3D stellar atmosphere models. As this discrepancy is also observed on the near-infrared limb darkening profile of the Sun, an improvement of the calibration of stellar atmosphere models is clearly needed. The reported PIONIER visibility measurements of α Cen A and B provide a robust basis to validate the future evolutions of these models.
Key words: stars: individual: Alpha Centauri / techniques: interferometric / stars: solar-type / stars: fundamental parameters / binaries: visual
The calibrated visibility data are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/597/A137
© ESO, 2017
1. Introduction
The photospheric radius of a star is intimately linked to its radiative equilibrium through the Stefan-Boltzmann law. Over the lifetime of a star, the radius and effective temperature are directly related to the production of nuclear energy at the core of the star. Measured radii and seismic oscillation frequencies provide complementary constraints for stellar structure and evolution models (Creevey et al. 2007; Cunha et al. 2007; Metcalfe et al. 2015). The triple system α Centauri (WDS J14396-6050AB, GJ559AB) is our closest stellar neighbor, at a distance of only d = 1.3384 ± 0.0011 pc for the main components A and B (π = 747.17 ± 0.61 mas; Kervella et al. 2016). The third member is Proxima (M5.5V, GJ551). α Cen A and B are dwarf stars of spectral types G2V (A, HD 128620) and K1V (B, HD 128621). Their proximity and similarity to the Sun in terms of mass and spectral type make α Cen extremely attractive from the standpoint of stellar physics (Bazot et al. 2016; Pourbaix & Boffin 2016; Brito & Lopes 2016; Salaris & Cassisi 2015; Ayres 2015; Liseau et al. 2015; Blanco-Cuaresma et al. 2014) and extrasolar planet research (Quarles & Lissauer 2016; Rajpaul et al. 2016; Demory et al. 2015; Worth & Sigurdsson 2016; Andrade-Ines & Michtchenko 2014; Kaltenegger & Haghighipour 2013; Dumusque et al. 2012). In addition, the α Cen pair is one of the principal benchmark stars of the Gaia mission (Heiter et al. 2015; Jofré et al. 2015). An extremely accurate calibration of its fundamental parameters is essential for the validation of the data analysis methods that are currently applied to the fainter targets of the Gaia catalog (see e.g. Bailer-Jones et al. 2013).
We present new optical interferometric measurements of α Cen A and B obtained with the VLTI/PIONIER interferometer in the near-infrared H band. These measurements are intended to update and improve those reported more than a decade ago by Kervella et al. (2003) and Bigot et al. (2006). The details of these observations are described in Sect. 2, where we also report the observation of a binary star (HD 123999) that we employ to calibrate the effective wavelength of the instrument. Section 3 is dedicated to the derivation of the angular diameters of the two stars together with their limb darkening parameters. We also check for the possible presence of spots on the surfaces of the two stars or close-in faint companions. We compare in Sect. 4 the derived limb darkening parameters with existing models from the literature or from new 3D hydrodynamical simulations.
2. Observations and data reduction
2.1. α Cen observations
Calibrators of α Cen and HD 123999.
We observed α Cen A and B using the Very Large Telescope Interferometer (Mérand et al. 2014) equipped with the PIONIER beam combiner (Berger et al. 2010; Le Bouquin et al. 2011) operating in the infrared H band (λ = 1.6 μm). The stellar light was collected by the four 1.8 m Auxiliary Telescopes. We used four configurations of the interferometer1: A0-B2-C1-D0, D0-K0-G2-J3, A0-J2-G1-J3 and the transition quadruplet A0-G2-D0-J3. Thanks to the Earth rotation supersynthesis, these four configurations provided an almost continuous coverage of the interferometric visibility function of the two stars up to the third lobe of component A and the second lobe of component B. This means that the apparent disks of the two stars were resolved with two to three resolution elements of the interferometer, thus enabling the measurement of their limb darkenings (hereafter LD) in addition to their angular diameters. Such a complete coverage of the visibility function of dwarf stars is, to our knowledge, unprecedented. The observations were obtained on four nights: 23, 27, 29, and 30 May 2016, under good seeing conditions (visible DIMM seeing between 0.6 and 1.1″). The pointings of α Cen were interspersed with observations of calibrator stars (Table 1) to estimate the interferometric transfer function of the instrument. These stars were selected close angularly to α Cen to avoid a polarimetric mismatch of the beams. The raw data have been processed using the standard pndrs2 data reduction software (Le Bouquin et al. 2011).
2.2. Wavelength calibration
2.2.1. Importance of wavelength calibration
The equivalent of the plate scale of an interferometer is the instrumental angular resolution, which is defined as the ratio of the effective observation wavelength λ and the projected baseline length B. Any dimensional measurement derived from interferometric observations (e.g., angular diameters and binary star separation) is directly proportional to the instrumental angular resolution, and its associated systematic uncertainty directly translates to the measured quantities. It should be noted that relative measurements (e.g., angular diameter ratios and LD coefficients) are not affected by this systematic uncertainty. The internal (laboratory) calibration of the PIONIER wavelength scale has an accuracy of about 1% (Le Bouquin et al. 2011), which is a limiting factor for the determination of the angular diameters of α Cen A and B. The projected baseline length B is known to better than 1 cm, i.e. to a relative accuracy <10-4. This is demonstrated by the fact that we consistently find the interference fringes within at most a few millimeters from the expected optical path difference. As the angular diameter scales linearly with the baseline length, the baseline uncertainty is therefore negligible in the total error budget compared to the wavelength uncertainty.
2.2.2. HD 123999 as dimensional calibrator
To improve the calibration of the wavelength scale of PIONIER, we adopt HD 123999 (12 Boo, HR 5304) as a dimensional calibrator. This original approach takes advantage of the fact that HD 123999 has been the target of intense spectroscopic and interferometric observations for at least two decades (Boden et al. 2000, 2005; Tomkin & Fekel 2006; Konacki et al. 2010; Behr et al. 2011). As a result, its orbital parameters are known with an exquisite accuracy. The two components have almost equal masses close to 1.4 M⊙ and effective temperatures around 6150 K (Miglio et al. 2007; Konacki et al. 2010). The combined spectral type of the binary is F8V (Gray et al. 2001), which is not far from α Cen A (G2V). With an H-band apparent magnitude of mH = 3.6, it is easily observable with PIONIER at high signal-to-noise ratio.
We obtained a series of ten observations of HD 123999 between 21 February and 30 May 2016, interspersed with calibrator stars (Table 1). We adjusted a classical binary model to the PIONIER squared visibilities, phase closure, and triple amplitude using the CANDID tool3(Gallenne et al. 2015). We checked that the LITpro tool4(Tallon-Bosc et al. 2008) gives statistically compatible results. According to Boden et al. (2005), the angular diameters of the two components of HD 123999 are θLD(A) = 0.64 mas and θLD(B) = 0.48 mas. They are slightly resolved by the interferometer, but cannot be accurately derived from our data. We therefore fix these parameters in the binary model fit. The measured positions of HD 123999 B relative to A are listed in Table A.1.
2.2.3. Orbital solution
We considered for the fit of the orbital parameters the same radial velocity measurements as Boden et al. (2005), Tomkin & Fekel (2006), and Konacki et al. (2010), together with our new PIONIER astrometry. The date of each measurement was converted to Heliocentric Julian Date (HJD) values. The best-fit orbital parameters are listed in Table 2. The listed uncertainties are purely statistical and therefore do not contain the wavelength calibration uncertainty. It is generally estimated to 0.5% for PTI, as for example by Boden et al. (2005), but was not taken properly into account in the determination of the orbital parameter uncertainties by Konacki et al. (2010), as they state a relative uncertainty of only 0.16% for the semi-major axis a. The measured radial velocities and astrometry are shown over the adjusted orbit in Fig. 1. All the parameter values that we obtain are consistent with previous works, except for the position angle of the ascending node Ω, which is different by 180°. The PIONIER measurements provide a significant improvement over previous interferometric measurements by the Palomar Testbed Interferometer (PTI; used by Boden et al. 2005, and Konacki et al. 2010). For each epoch PIONIER produces simultaneously six squared visibilities and four independent closure phases, while PTI produces only a single squared visibility. The PIONIER data thus provide a comprehensive data set to constrain the orbit orientation on sky very efficiently. Konacki et al. (2010) and Boden et al. (2000) arbitrarily selected the Ω value smaller than 180°, as there is a 180° ambiguity on Ω for two-telescope V2 measurements. Boden et al. (2005) used NPOI data that include closure phases, and mentioned that they were able to constrain Ω. They obtained a projected orbit that is different from Boden et al. (2000), but in agreement with ours, i.e. with Ω ≈ 260°. However, for an unclear reason, they list a value of Ω < 180° in their Table 4. We also derive an average photometric contrast between the two components of HD 123999 in the H band of ΔmH = 0.535 ± 0.016, which is in good agreement with Boden et al. (2005; ΔmH = 0.56 ± 0.02) but not with Konacki et al. (2010; ΔmH = 0.66 ± 0.03).
Orbital parameters determined for HD 123999 from PIONIER observations and radial velocity measurements.
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Fig. 1
Radial velocities (left) and PIONIER astrometry (right) of HD 123999. The quantities related to components A and B are represented using red and blue symbols, respectively, and are shown over the best-fit orbit. |
2.2.4. Wavelength scaling factor
We determine the scaling factor to be applied to the effective wavelength scale of PIONIER by comparing our best-fit angular semi-major axis aK16 = 3.436 mas and the average of the values determined by us, Boden et al. (2005), aB05 = 3.451 mas and Konacki et al. (2010), aK10 = 3.4706 mas: (1)We adopt as uncertainty for this quantity the fractional standard deviation of the three measurements of a. This is a conservative approach, but it ensures that systematic differences of the wavelength scale calibration are properly taken into account in the error bars. We thus multiplied the PIONIER wavelength scale by γ = 1.00481 for the subsequent analysis, and quadratically added an uncertainty of 0.41% to all derived angular diameters. Including our value aK16 in the numerator of γ in Eq. (1) induces a degree of circularity in the resulting calibration. But we prefer this approach as the (unweighted) averaging of the three measurements of a results in principle in a lower potential bias on the wavelength calibration. If we simply consider the ratio of the average of aB05 and aK10 to our measurement (aK16) we obtain γ = 1.00722. This is only + 0.6σ away from the value we adopt, and both approaches are thus statistically equivalent. The six spectral channels have central wavelengths of λ = 1.52,1.57,1.62,1.67,1.72, and 1.77 μm with a bandwidth of 48 nm per channel. The mean effective observing wavelength of PIONIER is λ0 = 1.6513 ± 0.0067 μm.
In addition to HD 123999, we obtained two PIONIER measurements of the binary HD 78418, whose orbital parameters were also determined by Konacki et al. (2010). Although these two points are insufficient to conduct the same extensive analysis as with HD 123999, we derive a value of γ = 1.00169 from the comparison of the observed and predicted separations. This is in good agreement (−0.8σ) with the γ factor determined from the observations of HD 123999.
The distance we obtain for HD 123999 after scaling by the γ factor (d = 36.18 ± 0.15 pc) is consistent with the original Hipparcos value (d = 36.7 ± 1.0 pc, ESA 1997). This is an indirect indication that our wavelength calibration is not biased by a large amount. The revised processing of the Hipparcos data by van Leeuwen (2007) gives a distance of d = 37.4 ± 0.3 pc, that is + 3.6σ from our value. However, HD 123999 is listed as a single object in both the original and revised catalogs. The flux ratio fA/fB ≈ 1.6 of the two components (in the H band) is significantly larger than their mass ratio mA/mB ≈ 1.03. This induces a wobble of the center of light during the orbital cycle of the pair, which has a range of approximately ± 0.9 mas (± 3% of the parallax value). The short orbital period of the system averaged out this wobble over the series of Hipparcos observations that were used to compute the parallax, but the error bar of the revised parallax by van Leeuwen (2007) may be underestimated. For this reason, we prefer not to rely on the Hipparcos distance to HD 123999 to calibrate the wavelength of PIONIER. The coming Gaia distance to the system will eventually provide us with a much more accurate calibration of the distance. This will reduce our wavelength calibration systematic uncertainty to 0.1%. Also, the new GRAVITY instrument of the VLTI (Eisenhauer et al. 2011; Lacour et al. 2014) within the next few years will provide interferometric visibilities and closure phases with a wavelength accuracy in the K band (λ = 2.2 μm) better than 10-4 owing to a dedicated internal reference laser source.
3. Analysis
3.1. Limb darkened disk angular diameters
3.1.1. Parametric limb darkening models
For a reasonably good constraint of an N-parameter LD model, it is necessary to sample properly the maximum of the lobe with order N + 1 of the visibility function. For this reason, we cannot adjust the classical four-parameter non-linear law that is usually presented in the literature as an approximation to the intensity profiles derived from atmosphere models (see e.g. Claret & Bloemen 2011). We however include it here with fixed coefficients taken from the literature for comparison. As we measure the visibility function of α Cen A up to the beginning of the fourth lobe, a two-parameter model is the maximum acceptable. For α Cen B, we measure the maximum of the second lobe and part of the third lobe, so we can only fit a single-parameter model. Different types of one- and two-parameter LD models are classically employed to approximate the results from the stellar atmosphere models:
-
power law (Hestroffer 1997):
(4)
This type of model cannot be adjusted directly to the PIONIER data because there are too many parameters. However, it is particularly interesting as it reproduces very well the observed intensity profile of the Sun measured by Pierce et al. (1977) in the infrared. We computed the average parameters for the solar profile over the wavelength range covered by PIONIER using the parameters listed by these authors, and we obtain: (9)
To be able to adjust a realistic LD model to the PIONIER squared visibilities, we consider the s0 coefficient (constant term of the polynomial expression) as a variable parameter, while keeping the s1 to s5 parameters to their solar values (Eq. (9)). The division of I(μ) by in the fit of the model results in an overall scaling of the polynomial coefficients of the normalized profile. The adoption of this scaled solar LD profile is physically justified by the fact that the spectral types of both components of α Cen are close to solar (in particular A). This innovative approach allows us to preserve the shape of the observed LD profile of the Sun, while scaling it using a single parameter to match the measured PIONIER visibilities of α Cen A and B.
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Fig. 2
Comparison of different parametric limb darkening models of the Sun with the observed limb darkening profile measured by Pierce et al. (1977) in the H band. The residuals in percentage of the observed intensity profile are shown in the lower panel. |
The scaled solar model is also useful owing to the generally poor realism of the single and two-parameter LD approximations. We show in Fig. 2 a comparison of different approximate parametric models adjusted to the observed H-band solar intensity profile (Eq. (9)) by Pierce et al. (1977). We also show the prediction of the solar intensity profile from our 3D convective model (see Sect. 3.1.2) for comparison. It is clear from this diagram that the linear and quadratic parametric models are poor representations of the actual intensity profile of the Sun. This was also the conclusion reached, for example, by Heyrovský (2007), Mérand et al. (2015) and Espinoza & Jordán (2016). The square root model and the four-parameter law introduced by Claret (2000) appear to be better approximations. A specific difficulty with the square root model is the high degree of correlation between its two parameters c and d due to the relative similarity of the linear (for parameter a) and square root (for parameter b) functions that it combines. But both the square root and four-parameter laws are not significantly more accurate approximations of the profile of the Sun than the single-parameter power law introduced by Hestroffer (1997), at least in the infrared H band that we discuss here.
The results of the fits of different parametric LD models, together with the 3D atmosphere model presented in Sect. 3.1.2, are listed in Table 3, and the corresponding residuals are shown in Figs. 5 and 6. A discussion of the residuals of the different models is presented in Sect. 3.1.3. The best-fit power law models adjusted to the PIONIER squared visibilities of α Cen A and B are presented in Figs. 3 and 4, respectively.
Uniform and limb darkened disk model parameters for α Cen A, α Cen B and the Sun.
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Fig. 3
Adjustment of a power law limb darkened disk model to the PIONIER squared visibilities of α Cen A (solid gray curve). The dashed gray curve represents the best-fit uniform disk model. The bottom panels show the residuals of the fit in number of times the statistical error bar. The coverage of the (u,v) plane is shown in the upper right corner. |
3.1.2. Three-dimensional atmosphere model
We interpret our PIONIER observations with the result from realistic 3D radiative hydrodynamical simulations of convection. We used the Stagger code (Nordlund & Galsgaard 19955; Beeck et al. 2012) which was previously used to interpret interferometric angular diameter determinations (e.g. Bigot et al. 2006, 2011). These state-of-the-art simulations provide extremely realistic modeling of the solar surface (see e.g. Stein & Nordlund 1998; Nordlund et al. 2009) from first principles without the need of tuned parameters (e.g., mixing-length). These simulations also provide in principle reliable limb darkened intensities. The code solves the full set of conservative hydrodynamical equations coupled to an accurate treatment of the radiative transfer. The equations are solved on a staggered mesh with a sixth order explicit finite difference scheme. We used the 3D models for α Cen A and B obtained by Bigot et al. (2008) and Bigot et al. (2006). The domains of simulations are local boxes at the surface (6 × 6 × 5.9 Mm for A, and 6 × 6 × 5.7 Mm for B). They contain the entropy minima and are extended deep enough to have a flat entropy profile at the bottom (adiabatic regime). The code uses periodic boundary conditions horizontally and open boundaries vertically. At the bottom of the simulation, the inflows have constant entropy and pressure. A realistic equation-of-state accounts for ionization, recombination, and dissociation (Mihalas et al. 1990) and continuous line opacities (Gustafsson et al. 2008). Radiative transfer is solved using the Feautrier scheme along several vertical and inclined rays. The wavelength dependence of the radiative transfer is taken into account using a binning scheme in which the monochromatic lines are collected into 12 bins. The stellar parameters that define our 3D models are: mean Teff = 5820 K, log g = 4.32, [Fe/H] = + 0.25 dex for α Cen A, and mean Teff = 5240 K, log g = 4.51, [Fe/H] = + 0.25 dex for α Cen B.
Bigot et al. (2006) presented a first comparison of only two VLTI/VINCI visibility measurements obtained in the second lobe of the visibility function of α Cen B with the prediction of 3D hydrodynamical simulation. Since the difference between 3D and 1D is modest for a K dwarf, especially in the K band, we could only conclude that the 3D approach gave a marginally better fit than the classical 1D approach. Now we have a much better coverage of the visibility function with PIONIER. Our 3D determinations of the angular diameters are (Table 3) θ3D [A] = 8.534 ± 0.003 mas () and θ3D [B] = 6.037 ± 0.002 mas (
). In these error bars we ignored the contribution of the uncertainty in wavelength that is a simple scaling factor common to both stars. Calculating equivalent 1D, LD angular diameters using non-linear four-parameter LD approximations tabulated by Claret & Bloemen (2011), we obtain θ1D [A] = 8.540 ± 0.003 mas (
) and θ1D [B] = 6.030 ± 0.002 mas (
), which is comparable to the 3D LD values. We note that our PIONIER diameter of α Cen B (θ3D [B] = 6.037 ± 0.002 ± 0.025 mas) is within 1σ of the value derived from VINCI observations by Bigot et al. (2006) (θ3D VINCI [B] = 6.000 ± 0.021 mas).
3.1.3. Quality of the limb darkening models
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Fig. 5
Residuals (observed – predicted) of the fits of different limb darkening models to the squared visibilities of α Cen A. The open circles indicate V2 residuals close to the minima of the visibility function (V2< 10-3) for which the fit is potentially more unstable. The fixed linear and 4-parameter LD models assume coefficient values from Claret & Bloemen (2011). |
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Fig. 6
Residuals (observed – predicted) of the fits of different limb darkening models to the squared visibilities of α Cen B (same caption as Fig. 5). |
An indication of the quality of the LD model fit on the PIONIER visibilities is given by the minimum reduced χ2 value (Figs. 5 and 6), but this is not a perfect indicator as we typically have many more data points in the first lobe of the visibility function than in the upper lobes. This results in a high weight in the χ2, which does not fully reflect the quality of the LD parameter fit, as the higher order lobes of the visibility function are the lobes that constrain these parameters (u,α,a,b,...). We therefore discuss here the properties of the residuals shown in Figs. 5 and 6.
As expected, the uniform disk model is excluded as it largely overestimates the contrast of the second and higher order lobes of the visibility functions.
The single-parameter linear, power law and scaled solar LD models show very similar residuals. The quality of the fit is very good for the three types of models for α Cen A, with essentially symmetric residuals around zero for the second and third lobes of the visibility function. For α Cen B the linear limb darkening model (fitting u as a variable) results in a slightly lower χ2 value than the power law and scaled solar models. But we sample only the first and second lobes of the visibility function for this star, and we are therefore insensitive to higher order deviations between the LD model and the observed profile. In other words, our limited angular resolution of the stellar disk of α Cen B does not allow us to discriminate between the detailed shape of the intensity profile of these three models. The LD angular diameters of both α Cen A and B are very close for the power law and scaled solar LD models, with a maximum difference between them of less than 0.1%. This agreement is expected as the LD angular diameter is essentially constrained by the position in spatial frequency of the minima of the visibility function, which are only mildly affected by the exact shape of intensity profile.
The two-parameter quadratic and square root models provide a very good fit to the observed visibility distributions for α Cen A. These models cannot be adjusted to star B because the angular resolution is too limited. The fit residuals are indistinguishable from each other and from the single parameter models (linear and power law). We conclude that the additional parameter of the quadratic and square root models does not provide a significant advantage compared to single-parameter models, at the level of angular resolution we achieved on α Cen A.
The four-parameter models with fixed coefficients taken from Claret & Bloemen (2011) overestimate the LD of both stars A and B and therefore also overestimate their angular diameters. We cannot fit the four model parameters ai simultaneously as this would require that we resolve the stars up to at least the fifth lobe of their visibility function. We are therefore limited to a comparison of the model predictions with the data.
The 3D hydrodynamical model has no LD parameter to adjust as its properties are set by the underlying physics described in Sect. 3.1.2. We observe an overestimation of the LD of both α Cen A and B by their respective 3D LD models, with residuals very similar to the four-parameter model.
In conclusion, from the comparison of the selected parametric LD models to the visibility measurements of α Cen A and B, we find that the single parameter LD models (linear, power law and scaled solar) provide a satisfactory representation of the observations. Models with one additional parameter (quadratic, square root) or fixed LD models (four-parameter and 3D) do not result in a significant improvement of the quality of the fits. We showed in Sect. 3.1.1 (Fig. 2) that the observed solar LD profile is poorly reproduced by the linear and quadratic LD models, while the square root, four-parameter, power law, scaled solar and 3D models provide a better match to the data.
Taking into account both our observations of α Cen A and B and the LD profile of the Sun, we therefore conclude that the power law and scaled solar intensity profiles represent the optimum compromise between the number of model parameters and the fidelity to the actual LD profile. For the following discussion, we therefore adopt as estimates of the photospheric angular diameters the best-fit angular diameters from the power law LD model (Figs. 3 and 4). This choice has the advantage to allow a straightforward, single-parameter comparison with the LD of the Sun and other types of stars (see also the discussion by Hestroffer 1997).
3.2. Search for spots and companions
Owing to the efficiency of the Earth rotation supersynthesis for α Cen A and B, the coverage of the (u,v) plane of spatial frequencies (sub-panels in Figs. 3 and 4) is sufficiently good to allow us to search for the presence of additional sources in their close environment (companions); we can also search for asymmetries on their photospheres due to stellar spots, which can be brighter or darker than the average photosphere. The two stars have coronal cycles in the X-ray and ultraviolet domains with periods around 19 and 8 years, respectively, as shown by Ayres (2014, 2015). The presence of spots on the surface of the stars could affect the measured interferometric fringe visibilities and therefore bias the estimates of the angular diameter and LD parameters. We employed the CANDID tool (Gallenne et al. 2015) to search simultaneously the closure phases, squared visibilities and closure amplitudes of PIONIER for the signature of additional point sources within 100 mas from the centers of the two stars. To prevent the displacement of companions or spots, we only considered the data sets obtained on 29 and 30 May 2016. No significant secondary source over 3σ is detected for α Cen A over the interferometric field of view. The brightest candidate companion (outside of the photosphere) is found at a flux ratio f = 0.14% (with respect to α Cen A) and is not statistically significant (2.2σ). Within the apparent disk of the star, there is no candidate spot above the noise level (f = 0.07%). For α Cen B, the brightest candidate companion has f = 0.16% but is not statistically significant (2.5σ). A candidate spot is found at f = 0.21% but is not statistically significant either (1.8σ). A plot of the sensitivity limit as a function of separation from the center of the stellar disk and expressed in terms of contrast in the H band is presented in Fig. 7.
From this analysis, we exclude the presence of isolated spots on the surfaces of both stars at a contrast level of at least ΔH = 6.5 mag, corresponding to a relative flux contribution of 0.25% with respect to the total stellar flux. This implies that the limb darkening coefficients determined in Sect. 3.1 are not significantly biased by spots.
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Fig. 7
Contrast limits in the H band at 3σ for the presence of companions within 100 mas of α Cen A (top) and B (bottom). The blue curves correspond to the sensitivity limits as defined by Absil et al. (2011) and the green curves for the prescription by Gallenne et al. (2015). |
Linear limb darkening parameters for α Cen A and B from the literature.
4. Discussion
4.1. Comparison with literature models and the Sun
The simplest comparison between the literature and our measurements is for the single-parameter linear LD coefficient u. Although it is not a good representation of the true intensity profile of the star (Sect. 3.1.3), its broad usage in the literature makes it a useful basis of comparison with our measurements. A sample of values of u from the literature is presented in Table 4. To read the tables from the different authors, we adopt the following turbulence and metallicity parameters for α Cen A and B from Jofré et al. (2015) and Heiter et al. (2015): Teff [A] = 5792 ± 16 K, ξturb [A] = 1.20 ± 0.07 km s-1, [Fe/H] [A] = + 0.24, and Teff [B] = 5231 ± 20 K, ξturb [B] = 0.99 ± 0.31 km s-1, [Fe/H] [B] = + 0.22. These parameters are generally in good agreement with the following spectroscopic determination by Porto de Mello et al. (2008): Teff [A] = 5847 ± 27 K, ξturb [A] = 1.46 ± 0.03 km s-1, [Fe/H] [A] = + 0.24 ± 0.03, and Teff [B] = 5316 ± 28 K, ξturb [B] = 1.28 ± 0.15 km s-1, [Fe/H] [B] = + 0.25 ± 0.04. We adopt the masses determined by Kervella et al. (2016) as follows: mA = 1.1055 ± 0.0039 M⊙ and mB = 0.9373 ± 0.0033 M⊙. The surface gravity parameter of α Cen A and B can be deduced from the combination of these masses and our radius measurements, and we obtain log g [A] = 4.3117 ± 0.0015 and log g [B] = 4.5431 ± 0.0015, considering the IAU solar mass conversion constant of m3 s-2(Prša et al. 2016). Our new values are within 1σ of the spectroscopic estimates from Porto de Mello et al. (2008) (log g [A] = 4.34 ± 0.12, log g [B] = 4.44 ± 0.15) and in perfect agreement with the calibration of Gaia benchmark stars by Heiter et al. (2015) (log g [A] = 4.31 ± 0.01, log g [B] = 4.53 ± 0.03). They are however one to two orders of magnitude more accurate thanks mainly to the improved masses from Kervella et al. (2016).
We did not interpolate the parametric LD tables from the literature, that is, we directly chose the closest model parameters to the values listed above for the H band. The reason for this choice is that the dependence of the linear limb darkening coefficient u is potentially a complex and non-linear function of the model parameters (Teff,log g,...), and correlations may exist between them. A simple interpolation considering each parameter separately may therefore introduce artefacts, and a more complex multi-dimensional interpolation taking the correlations into account is beyond the scope of the present comparison. This is however not a real limitation in practice, as the atmosphere model grids are densely populated around the solar parameters. The parameters employed to read the tabulated values of u are therefore close to the true values for the different models.
All model values in the literature systematically overestimate u for both α Cen A and B. Many of these coefficients are based on the same atmosphere models (usually ATLAS9; Kurucz 1979; Castelli & Kurucz 2004), and therefore share the same underlying numerical basis. But the Stagger 3D simulations (Magic et al. 2015) also show the same trend. We also observe a significantly larger discrepancy between our measured value of u and the spherical atmosphere model by Neilson & Lester (2013) than with the planar version from the same authors. A plausible explanation for this difference is that a linear model is a too crude representation of the limb darkening profile predicted by a spherical model, as the intensity drops sharply near the limb (μ ≈ 0). Depending on the adopted weighting in the linear model fit to the exact spherical profile, this usually results in an overestimation of u. Overall, the level of discrepancy between our measurements and the published models is such that none of them provides a prediction for u in agreement with the observed values within their error bars. This is a surprising result considering that α Cen A and B, and component A in particular, are similar to the Sun, for which one would expect very well-calibrated atmosphere models.
We note that the method used to derive parametric LD models from stellar atmosphere models may not be well suited for interferometric observations. The wavelength dependent intensity profiles produced by atmosphere models are usually computed with constant steps in μ. The resulting curve I(μ) /I(1) is then approximated by a parametric model (usually polynomial) by giving a uniform weight to all points of the I(μ) function. But interferometry sees the star not as a 1D radial cut, but as a circular disk. More precisely, it measures the visibility as the Hankel transform of the intensity profile. The effective weighting of the profile in the visibility function is thus different from the approximate polynomial fit of the original atmosphere model. As a result, the visibility function of a polynomial LD model often differs substantially from the visibility function computed using the original atmosphere model directly. Using the non-approximated model outputs (e.g. from ATLAS9) instead of parametric models would be a step in the right direction to obtain a better match to the observed intensity profiles. But the fact that the non-approximated 3D models significantly overestimate the LD of α Cen and the Sun (as the parametric models) indicates that the main problem lies in the underlying atmosphere physics, and not simply in the polynomial approximation of the numerical model.
Hestroffer & Magnan (1998) derived empirical power law coefficients α between 0.13 and 0.17 from the solar LD observations of reference by Pierce et al. (1977) over the H band, and we confirm an integrated value of α⊙ = 0.15027 ± 0.00006 (Table 3). The solar power law exponent is therefore very comparable to the values we obtain for α Cen A and B: α(A) = 0.1404 ± 0.0050 and α(B) = 0.1545 ± 0.0055. Hence, our interferometric LD measurements show that the LD of α Cen A is slightly lower than that of the Sun, while the LD of α Cen B is statistically identical to the solar value (Fig. 9). For comparison, the power law exponent α = 0.23 ± 0.05 found by Mérand et al. (2010) in the K band for the red subgiant η Ser (K0III-IV) is higher than the power law exponent we find for α Cen B in the H band. η Ser is cooler than α Cen B and its effective gravity is significantly lower (Teff = 4955 K, log g = 3.2; Hekker & Meléndez 2007). Lacour et al. (2008) observed the even cooler and larger K0III giant Arcturus (Teff ≈ 4300 K, log g = 1.5) in the H band and measured α = 0.258 ± 0.003 to be also significantly higher than the value of α Cen B.
![]() |
Fig. 8
Intensity profiles I(μ) /I(1) for α Cen A, α Cen B and the Sun. Top panel: the observed power laws I(μ) /I(1) = uα are represented with solid curves, together with the measured polynomial by Pierce et al. (1977, P77, black). The 3D model predictions are represented with dashed curves. Bottom panel: differences between the observed profiles and the 3D model predictions. |
A disagreement between observations and models also exists for the Sun. Pereira et al. (2013) compared the predictions of model atmospheres of the Sun to the Pierce et al. (1977) observations in the near-infrared. In line with our observations, they find a consistent overestimation of the LD for 1D MARCS and PHOENIX models in the infrared, and particularly in the H band, while the comparison with 3D models shows a better (although not perfect) agreement (their Fig. 3). A comparison of the 3D model predictions with the observed intensity profiles of α Cen and the Sun is presented in Fig. 8. The 3D model predictions are in good agreement with the observed profile for μ> 0.1, but differ significantly for lower values. The overestimation of the solar limb darkening by our 3D model prediction is also visible in Fig. 2.
A possible explanation for this difference is the inaccurate treatment of the opacity due to the hydrogen anion (see e.g. Penn 2014). The fact that α Cen B is magnetically active may also play a role.
![]() |
Fig. 9
Comparison of the best-fit power law intensity profiles of α Cen A and B (red curves) with the observed solar profile in the H band (orange curves) measured by Pierce et al. (1977). The horizontal scale is the same for both diagrams to show the difference in size of the two stars. |
4.2. Linear radii of α Cen A and B
The recently determined parallax of the α Cen system by Kervella et al. (2016) of π = 747.17 ± 0.61 mas allows us to convert the measured LD angular diameters (using the power law LD) into linear radii. We adopt the IAU convention (Prša et al. 2016) for the nominal solar radius ( km), leading to the following conversion relation between the linear radius and the angular diameter:
(10)We obtain for α Cen A (± σstat ± σsyst),
(11)and for α Cen B,
(12)The error bars are dominated by the systematic uncertainty on the effective wavelength of PIONIER. Kervella et al. (2003) determined RA = 1.224 ± 0.003 R⊙, RB = 0.863 ± 0.005 R⊙ (Bigot et al. 2006, found RB = 0.863 ± 0.003 R⊙) from VLTI/VINCI measurements in the near-infrared K band (λ = 2.2 μm), assuming the same parallax as in the present work. These values are remarkably identical to the present measurements (offsets of + 0.10σ and −0.04σ, respectively), indirectly confirming the quality of our wavelength calibration (Sect. 2.2).
The ratio of the radii of α Cen A and B is an interesting differential quantity as it is insensitive to the wavelength calibration of the instrument and the parallax, (13)The accuracy of this ratio (0.11%) is limited by the statistical uncertainties that are very small in our case. This ratio is in perfect agreement with the measurement by Kervella et al. (2003) (RA/RB = 1.418 ± 0.009) and within 1.2σ of the prediction RA/RB = 1.435 ± 0.014 by Thévenin et al. (2002). This quantity is well suited to constrain the models of the α Cen pair, as both stars have the same age and the same initial composition. Therefore, their evolution can easily be traced in parallel using numerical models, where the only difference in the input parameters are their initial masses.
4.3. Luminosities and effective temperatures
We derive the effective temperatures of α Cen A and B considering the bolometric flux values determined by Boyajian et al. (2013) and adopted by Heiter et al. (2015): Fbol [A] = (27.16 ± 0.27) × 10-9 W m-2 and Fbol [B] = (8.98 ± 0.12) × 10-9 W m-2. The parallax π = 747.17 ± 0.61 mas is taken from Kervella et al. (2016) giving luminosities of These values assume a nominal solar luminosity
W. A straight application of the Stefan-Boltzmann law gives effective temperatures of
in perfect agreement with Heiter et al. (2015).
5. Conclusions
Fundamental parameters of α Cen A and B.
We presented new high-accuracy interferometric measurements of the angular diameters and limb darkening parameters of α Centauri A and B in the infrared H band. The accuracy on the angular diameters (0.4%) is presently limited by the wavelength calibration of the PIONIER instrument, but it will be significantly improved when the parallax of the dimensional calibrator HD 123999 will be available from Gaia (Gaia Collaboration 2016). The VLTI/GRAVITY beam combiner (Eisenhauer et al. 2011) will also soon overcome this limitation in the infrared K band (λ = 2.2 μm) thanks to its highly accurate laser-referenced wavelength calibration (σ< 0.1%).
We observe a significant discrepancy of the measured linear LD parameters u with respect to model predictions from the literature, which systematically overestimate the limb darkening of α Cen A and B. Setting the value of u from existing tabulated model atmospheres results in an overestimation of the LD angular diameter by 0.5% compared to the more realistic power law profile. Over the complete sample of LD angular diameter values listed in Table 3 for α Cen A and B (considering all parametric models), we observe an amplitude of 1% between the extreme values. This difference is small and gives confidence in the existing angular diameter measurements of the literature at this level of accuracy. However, the shape of the intensity profile itself, reflected on the interferometric visibility function, is incorrectly predicted by the models. This difference may be partly due to the mathematical technique used to extract, for instance, the linear LD parameter u from the stellar atmosphere models. But higher order approximations (e.g. four-parameter) also fail to reproduce the observed visibilities satisfactorily, particularly the second lobe of the visibility function. This implies that the underlying atmosphere models deviate from the real intensity profiles of α Cen, and we note that similar discrepancies are observed on the Sun. The observed discrepancies indicate that the predictive accuracy of the current generation of model atmospheres may be significantly lower than expected. This is likely to be more critically the case for stars with parameters that are very different from those of the Sun (e.g., cooler stars with molecular envelopes) and for wavelength regions more complex to model than the near-infrared (e.g., the ultraviolet and visible). The high-precision modeling of exoplanet transits (Espinoza & Jordán 2015) and eclipsing binaries (Pietrzyński et al. 2013; Gaulme et al. 2016) or the calibration of surface-brightness color relations (Kervella et al. 2004; Kervella & Fouqué 2008; Boyajian et al. 2013) will require increasingly accurate LD models. Stellar parallaxes more accurate than 1% are still relatively rare, but thanks to Gaia they will soon become much more common, and a higher accuracy on the LD will be a requirement for unbiased stellar population studies. The measured PIONIER squared visibilities provide very valuable benchmarks to validate future evolutions of atmosphere models of late-type stars. We note that the existing solar LD measurements between wavelengths of 1 to 4 μm are now relatively old and would certainly benefit from new observations using modern detectors.
The measured photospheric radii of α Cen A and B are however in perfect agreement with the values obtained 13 yr ago by Kervella et al. (2003) in the K band. These new measurements are independent of model atmospheres for the prediction of LD correction coefficients as they are now measured. Together with the parallax and masses recently reported by Kervella et al. (2016), as well as spectroscopic studies, the determined radii complete the calibration of the fundamental parameters of both components of α Centauri (Table 5).
Available at http://www.jmmc.fr/aspro
Acknowledgments
Based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programs 096.D-0299(A), 097.D-0350(A) 097.D-0350(B) and 097.D-0350(C). We thank the ESO Paranal team for their excellent support during the observations of α Cen with PIONIER and, in particular, Thomas Rivinius. We are grateful to Antoine Mérand for providing the orbital prediction routines used to analyze the observations of HD 123999. This research has made use of the Jean-Marie Mariotti Center LITpro service co-developed by CRAL, IPAG and LAGRANGE. This research has made use of the Jean-Marie Mariotti Center Aspro service6. We acknowledge financial support from the “Programme National de Physique Stellaire” (PNPS) of CNRS/INSU, France. This research made use of the SIMBAD and VIZIER databases (CDS, Strasbourg, France) and NASA’s Astrophysics Data System.
References
- Absil, O., Le Bouquin, J.-B., Berger, J.-P., et al. 2011, A&A, 535, A68 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Andrade-Ines, E., & Michtchenko, T. A. 2014, MNRAS, 444, 2167 [NASA ADS] [CrossRef] [Google Scholar]
- Ayres, T. R. 2014, AJ, 147, 59 [NASA ADS] [CrossRef] [Google Scholar]
- Ayres, T. R. 2015, AJ, 149, 58 [NASA ADS] [CrossRef] [Google Scholar]
- Bailer-Jones, C. A. L., Andrae, R., Arcay, B., et al. 2013, A&A, 559, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bazot, M., Christensen-Dalsgaard, J., Gizon, L., & Benomar, O. 2016, MNRAS, 460, 1254 [NASA ADS] [CrossRef] [Google Scholar]
- Beeck, B., Collet, R., Steffen, M., et al. 2012, A&A, 539, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Behr, B. B., Cenko, A. T., Hajian, A. R., et al. 2011, AJ, 142, 6 [NASA ADS] [CrossRef] [Google Scholar]
- Berger, J.-P., Zins, G., Lazareff, B., et al. 2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conf. Ser., 7734 [Google Scholar]
- Bigot, L., Kervella, P., Thévenin, F., & Ségransan, D. 2006, A&A, 446, 635 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bigot, L., Thévenin, F., & Kervella, P. 2008, Mem. Soc. Astron. It„ 79, 670 [Google Scholar]
- Bigot, L., Mourard, D., Berio, P., et al. 2011, A&A, 534, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Blanco-Cuaresma, S., Soubiran, C., Jofré, P., & Heiter, U. 2014, A&A, 566, A98 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Boden, A. F., Creech-Eakman, M. J., & Queloz, D. 2000, ApJ, 536, 880 [NASA ADS] [CrossRef] [Google Scholar]
- Boden, A. F., Torres, G., & Hummel, C. A. 2005, ApJ, 627, 464 [NASA ADS] [CrossRef] [Google Scholar]
- Boyajian, T. S., von Braun, K., van Belle, G., et al. 2013, ApJ, 771, 40 [NASA ADS] [CrossRef] [Google Scholar]
- Brito, A., & Lopes, I. 2016, J. Phys. Conf. Ser., 665, 012081 [CrossRef] [Google Scholar]
- Castelli, F., & Kurucz, R. L. 2004, ArXiv e-prints [arXiv:astro-ph/0405087] [Google Scholar]
- Claret, A. 2000, A&A, 363, 1081 [NASA ADS] [Google Scholar]
- Claret, A., & Bloemen, S. 2011, A&A, 529, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Claret, A., Diaz-Cordoves, J., & Gimenez, A. 1995, A&AS, 114, 247 [NASA ADS] [Google Scholar]
- Claret, A., Hauschildt, P. H., & Witte, S. 2013, A&A, 552, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Creevey, O. L., Monteiro, M. J. P. F. G., Metcalfe, T. S., et al. 2007, ApJ, 659, 616 [NASA ADS] [CrossRef] [Google Scholar]
- Cunha, M. S., Aerts, C., Christensen-Dalsgaard, J., et al. 2007, A&ARv, 14, 217 [NASA ADS] [CrossRef] [Google Scholar]
- Demory, B.-O., Ehrenreich, D., Queloz, D., et al. 2015, MNRAS, 450, 2043 [NASA ADS] [CrossRef] [Google Scholar]
- Dumusque, X., Pepe, F., Lovis, C., et al. 2012, Nature, 491, 207 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Eisenhauer, F., Perrin, G., Brandner, W., et al. 2011, The Messenger, 143, 16 [NASA ADS] [Google Scholar]
- ESA 1997, The Hipparcos and TYCHO catalogues, Astrometric and photometric star catalogues derived from the ESA Hipparcos Space Astrometry Mission, ESA SP, 1200 [Google Scholar]
- Espinoza, N., & Jordán, A. 2015, MNRAS, 450, 1879 [NASA ADS] [CrossRef] [Google Scholar]
- Espinoza, N., & Jordán, A. 2016, MNRAS, 457, 3573 [NASA ADS] [CrossRef] [Google Scholar]
- Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gallenne, A., Mérand, A., Kervella, P., et al. 2015, A&A, 579, A68 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaulme, P., McKeever, J., Jackiewicz, J., et al. 2016, ApJ, 832, 121 [NASA ADS] [CrossRef] [Google Scholar]
- Gray, R. O., Napier, M. G., & Winkler, L. I. 2001, AJ, 121, 2148 [NASA ADS] [CrossRef] [Google Scholar]
- Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Heiter, U., Jofré, P., Gustafsson, B., et al. 2015, A&A, 582, A49 [NASA ADS] [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- Hekker, S., & Meléndez, J. 2007, A&A, 475, 1003 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hestroffer, D. 1997, A&A, 327, 199 [NASA ADS] [Google Scholar]
- Hestroffer, D., & Magnan, C. 1998, A&A, 333, 338 [NASA ADS] [Google Scholar]
- Heyrovský, D. 2007, ApJ, 656, 483 [NASA ADS] [CrossRef] [Google Scholar]
- Jofré, P., Heiter, U., Soubiran, C., et al. 2015, A&A, 582, A81 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kaltenegger, L., & Haghighipour, N. 2013, ApJ, 777, 165 [NASA ADS] [CrossRef] [Google Scholar]
- Kervella, P., & Fouqué, P. 2008, A&A, 491, 855 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kervella, P., Thévenin, F., Ségransan, D., et al. 2003, A&A, 404, 1087 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kervella, P., Thévenin, F., Di Folco, E., & Ségransan, D. 2004, A&A, 426, 297 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kervella, P., Mignard, F., Mérand, A., & Thévenin, F. 2016, A&A, 594, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Konacki, M., Muterspaugh, M. W., Kulkarni, S. R., & Hełminiak, K. G. 2010, ApJ, 719, 1293 [NASA ADS] [CrossRef] [Google Scholar]
- Kurucz, R. L. 1979, ApJS, 40, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Lacour, S., Meimon, S., Thiébaut, E., et al. 2008, A&A, 485, 561 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lacour, S., Eisenhauer, F., Gillessen, S., et al. 2014, A&A, 567, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lafrasse, S., Mella, G., Bonneau, D., et al. 2010, VizieR Online Data Catalog: II/300 [Google Scholar]
- Le Bouquin, J.-B., Berger, J.-P., Lazareff, B., et al. 2011, A&A, 535, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Liseau, R., Vlemmings, W., Bayo, A., et al. 2015, A&A, 573, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Magic, Z., Chiavassa, A., Collet, R., & Asplund, M. 2015, A&A, 573, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mérand, A., Bordé, P., & Coudé du Foresto, V. 2005, A&A, 433, 1155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mérand, A., Kervella, P., Barban, C., et al. 2010, A&A, 517, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mérand, A., Abuter, R., Aller-Carpentier, E., et al. 2014, in Optical and Infrared Interferometry IV, Proc. SPIE, 9146, 91460J [CrossRef] [Google Scholar]
- Mérand, A., Kervella, P., Breitfelder, J., et al. 2015, A&A, 584, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Metcalfe, T. S., Creevey, O. L., & Davies, G. R. 2015, ApJ, 811, L37 [NASA ADS] [CrossRef] [Google Scholar]
- Miglio, A., Montalbán, J., & Maceroni, C. 2007, MNRAS, 377, 373 [NASA ADS] [CrossRef] [Google Scholar]
- Mihalas, D., Hummer, D. G., Mihalas, B. W., & Daeppen, W. 1990, ApJ, 350, 300 [NASA ADS] [CrossRef] [Google Scholar]
- Neilson, H. R., & Lester, J. B. 2013, A&A, 556, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Nordlund, Å., Stein, R. F., & Asplund, M. 2009, Liv. Rev. Sol. Phys., 6, 2 [Google Scholar]
- Penn, M. J. 2014, Liv. Rev. Sol. Phys., 11, 2 [Google Scholar]
- Pereira, T. M. D., Asplund, M., Collet, R., et al. 2013, A&A, 554, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pierce, A. K., Slaughter, C. D., & Weinberger, D. 1977, Sol. Phys., 52, 179 [NASA ADS] [CrossRef] [Google Scholar]
- Pietrzyński, G., Graczyk, D., Gieren, W., et al. 2013, Nature, 495, 76 [NASA ADS] [CrossRef] [PubMed] [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., & Boffin, H. M. J. 2016, A&A, 586, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Prša, A., Harmanec, P., Torres, G., et al. 2016, AJ, 152, 41 [NASA ADS] [CrossRef] [Google Scholar]
- Quarles, B., & Lissauer, J. J. 2016, AJ, 151, 111 [NASA ADS] [CrossRef] [Google Scholar]
- Rajpaul, V., Aigrain, S., & Roberts, S. 2016, MNRAS, 456, L6 [NASA ADS] [CrossRef] [Google Scholar]
- Reeve, D. C., & Howarth, I. D. 2016, MNRAS, 456, 1294 [NASA ADS] [CrossRef] [Google Scholar]
- Salaris, M., & Cassisi, S. 2015, A&A, 577, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stein, R. F., & Nordlund, Å. 1998, ApJ, 499, 914 [Google Scholar]
- Tallon-Bosc, I., Tallon, M., Thiébaut, E., et al. 2008, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conf. Ser., 7013 [Google Scholar]
- Thévenin, F., Provost, J., Morel, P., et al. 2002, A&A, 392, L9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Tomkin, J., & Fekel, F. C. 2006, AJ, 131, 2652 [NASA ADS] [CrossRef] [Google Scholar]
- van Leeuwen, F. 2007, A&A, 474, 653 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Worth, R., & Sigurdsson, S. 2016, ApJ, 832, 170 [NASA ADS] [CrossRef] [Google Scholar]
Appendix A: PIONIER astrometry of HD 123999
The PIONIER astrometry of HD 123999 B relative to A is presented in Table A.1.
Positions of HD 123999 B relative to A measured with PIONIER.
All Tables
Orbital parameters determined for HD 123999 from PIONIER observations and radial velocity measurements.
Uniform and limb darkened disk model parameters for α Cen A, α Cen B and the Sun.
All Figures
![]() |
Fig. 1
Radial velocities (left) and PIONIER astrometry (right) of HD 123999. The quantities related to components A and B are represented using red and blue symbols, respectively, and are shown over the best-fit orbit. |
In the text |
![]() |
Fig. 2
Comparison of different parametric limb darkening models of the Sun with the observed limb darkening profile measured by Pierce et al. (1977) in the H band. The residuals in percentage of the observed intensity profile are shown in the lower panel. |
In the text |
![]() |
Fig. 3
Adjustment of a power law limb darkened disk model to the PIONIER squared visibilities of α Cen A (solid gray curve). The dashed gray curve represents the best-fit uniform disk model. The bottom panels show the residuals of the fit in number of times the statistical error bar. The coverage of the (u,v) plane is shown in the upper right corner. |
In the text |
![]() |
Fig. 4
Power law limb darkened disk model fit and residuals for α Cen B (same caption as Fig. 3). |
In the text |
![]() |
Fig. 5
Residuals (observed – predicted) of the fits of different limb darkening models to the squared visibilities of α Cen A. The open circles indicate V2 residuals close to the minima of the visibility function (V2< 10-3) for which the fit is potentially more unstable. The fixed linear and 4-parameter LD models assume coefficient values from Claret & Bloemen (2011). |
In the text |
![]() |
Fig. 6
Residuals (observed – predicted) of the fits of different limb darkening models to the squared visibilities of α Cen B (same caption as Fig. 5). |
In the text |
![]() |
Fig. 7
Contrast limits in the H band at 3σ for the presence of companions within 100 mas of α Cen A (top) and B (bottom). The blue curves correspond to the sensitivity limits as defined by Absil et al. (2011) and the green curves for the prescription by Gallenne et al. (2015). |
In the text |
![]() |
Fig. 8
Intensity profiles I(μ) /I(1) for α Cen A, α Cen B and the Sun. Top panel: the observed power laws I(μ) /I(1) = uα are represented with solid curves, together with the measured polynomial by Pierce et al. (1977, P77, black). The 3D model predictions are represented with dashed curves. Bottom panel: differences between the observed profiles and the 3D model predictions. |
In the text |
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Fig. 9
Comparison of the best-fit power law intensity profiles of α Cen A and B (red curves) with the observed solar profile in the H band (orange curves) measured by Pierce et al. (1977). The horizontal scale is the same for both diagrams to show the difference in size of the two stars. |
In the text |
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