Free Access
Issue
A&A
Volume 529, May 2011
Article Number A115
Number of page(s) 8
Section Stellar atmospheres
DOI https://doi.org/10.1051/0004-6361/201016120
Published online 14 April 2011

© ESO, 2011

1. Introduction

The effective size of a star at a given wavelength depends on the opacity of the stellar atmosphere at that wavelength. Since we effectively measure the diameter of the τ = 1 surface of the star, the size is related to the extension of the atmospheric region where the absorption is produced. The diameter of that surface varies with opacity, hence frequency. The atmospheres of cool giants are so extended that these size variations are observable with an interferometer. Quirrenbach et al. (1993, 2001) studied the extended absorption regions of stellar atmospheres of cool giant stars in the TiO band at 712 nm with the MkIII interferometer. These authors measured the visibilities of a set of 47 stars using two filters, one centered in the TiO band, and the other in the continuum part of the spectrum close to the TiO band (754 nm). They found that the sizes in the TiO band are larger than those in the continuum, and that this effect is stronger for cooler stars. The sizes in the TiO absorption band are  ~10% larger than in the continuum for R − I color indices of  ~1.6 (spectral types M3–M4) and as much as 30% larger for R − I color indices of  ~2.2 (spectral types M6–M7).

Similar differences between the sizes observed in the continuum and in bands containing absorption band heads of other molecules (such as H2O or CO) have been reported for AGB stars. Mennesson et al. (2002) and Perrin et al. (2004), for instance, reported very large size ratios (50% or more) for some stars.

Quirrenbach et al. (1993, 2001) were successful in qualitatively reproducing their data with the latest set of cool giant models from the general-purpose stellar atmosphere code PHOENIX. Spherical, hydrostatic, massively line-blanketed atmosphere models were constructed and used to predict the uniform-disk diameters in the TiO band and the continuum band as a function of model effective temperature, surface gravity, and mass (the stellar mass was used in the modeling, since it controls the deviation from plane-parallel atmospheres). For most of the observed oxygen-rich giants, the diameter ratios of the TiO band to the continuum band agreed with the models computed for masses  ~ 0.5   M. Hence, model atmospheres with very low stellar masses could fit the large diameter ratios observed in many stars, although evolutionary models predict masses as high as 5 M.

Table 1

Details of our observations.

A possible explanation of this inconsistency would be the existence of a transition zone at the base of the stellar wind (the MOLsphere; e.g. Tsuji 2008, and references therein), which could provide sufficient opacity in the TiO bands (and other molecular bands) to make AGB stars appear much larger than predicted by the hydrostatic model atmospheres such as PHOENIX. According to this picture, one would expect similar size effects for the CO band heads. Therefore, we decided to use AMBER in the K band to measure the effective sizes of a set of four cool giant stars through the CO band heads at 2.3 μm. The use of AMBER in medium-resolution mode (λλ ~ 1500) provides considerably more information than could be obtained with the MkIII interferometer (Quirrenbach et al. 1993) and the IOTA interferometer (Mennesson et al. 2002; Perrin et al. 2004), in which narrow-band filters were used. In this paper, we report on the results obtained from the analysis of the observations of the first star of our sample: RS Cap.

RS Cap (HD 200994) has a K-band magnitude of  − 0.2 (Cutri et al. 2003). It is a semi-regular variable (SRb) of spectral type M6/M7III and is located at α = 21h   07m   15.4s, δ = −16°   25′   21.4′′ (J2000.0). It has a visual magnitude of 8.3 and a parallax π = 1.26 ± 0.86 mas (van Leeuwen 2007), which maps into a distance between 500 and 2500 pc. However, following Scalo (1976) or Winters et al. (2003), a bolometric absolute magnitude between  − 4 and  − 5 is derived for RS Cap (around  −4.8 in the case of Winters et al.). These estimates, in addition to the spectrum fitted between 0.1 and 2 μm, translate into a distance of  ~ 300 pc (Richichi et  al. 1992).

A variability amplitude of ΔV ~ 0.5 is seen in the Hipparcos data (Perryman & ESA 1997), although a larger variability amplitude (in photometric magnitude) of ΔB ~ 2 was reported in Kukarkin et al. (1969), which has a period of  ~340 days.

The remainder of this paper is structured as follows: in Sect. 2, we describe our AMBER observations and the strategy followed in the data calibration and reduction. In Sect. 3, we report on the results obtained: Sect. 3.1 is centered on our estimate of the effective temperature and Sect. 3.2 on the size effects observed at the CO band heads. In Sect. 4, we compare our results with synthetic data obtained from model stellar atmospheres. In Sect. 5, we summarize our conclusions.

2. Observations and data reduction

We observed RS Cap with the ESO Very Large Telescope Interferometer (VLTI) using the Astronomical Multi-BEam combineR, AMBER (see Petrov et al. 2007, for details on this instrument), in medium-resolution mode (λλ ~ 1500). This instrument performs simultaneous observations of the interferometric fringes generated by three telescopes. Therefore, it measures closure phases, which are quantities independent of atmospheric or instrumental telescope-dependent contributions (e.g. Rogers et al. 1974). AMBER also measures the so-called differential phase on each baseline, which roughly represents the phase of spectral features with respect to that in the continuum1. The observations were performed on 4 June 2009, from 06:30 UT to 08:30 UT, using the three VLTI Auxiliary Telescopes (AT) positioned on stations E0, G0, and H0. These stations are distributed roughly in the east-west direction. In Table 1, we give the projected baseline lengths and position angles for our observations, together with a summary of the atmospheric observing conditions. 18 Cap (M0III star located at α = 20h51m49.3s, δ = −26°55′08.9′′, J2000.0) was also observed as a calibrator, with the same observing configuration used to obtain the RS Cap visibilities.

The high flux densities of RS Cap and 18 Cap in the H band (magnitudes of 0.25 and 0.42, respectively), allowed us to use the fringe tracker FINITO (see Gai et al. 2004), which employs part of the H-band light to correct, in real time, the delay shifts of the fringes due to atmospheric turbulences, thus increasing the coherence of the signal. A larger coherence allows the use of a longer detector integration time (DIT). Given the moderately good atmospheric conditions during our observations (see Table 1), we achieved a DIT of 200 ms with a negligible signal loss due to atmospheric jitter. This allowed us to simultaneously observe a large spectral range of the K-band (between 2.13 and 2.47 μm) using medium-resolution mode. This wavelength range contains the 12CO (2−0), (3−1), and (4−2), as well as the 13CO (2−0) band heads, together with the continuum blueward of the 12CO (2−0) band head at 2.29 μm.

The data acquisition was carried out in the following order: (1) observation of an artificial signal for calibration of the instrumental dispersive effects; (2) one exposure of dark frames (an exposure consisted on 200 frames of 200 ms each); (3) five exposures of the target; and (4) one exposure of empty sky close to the target. The observations of dark, target, and sky exposures were iterated once for 18 Cap (spanning 10 min), three times for RS Cap (spanning 1 h), and one more time for 18 Cap (spanning 10 min). The dead time between iterations, when the sources were not observed, was dedicated to the setup of the instrument: preparation of the optical-delay lines, telescope pointing, etc.

The raw visibilities and differential closure phases for RS Cap and 18 Cap were obtained using the amdlib libraries (version 2.2) and the interface provided by the Jean-Marie Mariotti Center (JMMC). First, we manually aligned the spectrally-dispersed photometry channels of the ATs to the interferometric channel, based on observations of the target and calibrator stars. We removed the bad pixels and took into account the flat, dark, and sky contributions. Afterwards, we calibrated the instrumental dispersive effects and fringe-fitted each frame of RS Cap and 18 Cap (based on the P2VM algorithm of Tatulli et al. 2007). The resulting visibilities of individual frames were selected and averaged for each exposure in several ways, to test the robustness of our results on different averaging and selection schemes. The finally chosen selection scheme was based on an atmospheric piston criterion (keeping only frames with a piston smaller than 8 μm, to select only well-detected and centered fringes in all three baselines) and keep 50% of the remaining frames based on a signal-to-noise ratio (SNR) criterion.

After the frame selection, we obtained a single frame-averaged visibility spectrum for each exposure. The last step in the data reduction was to average the visibilities of all exposures of each star to increase the SNR. This step was performed outside amdlib, with an in-house developed python-based program that uses the PyFITS library (provided by the Space Telescope Science Institute, operated by AURA for NASA). The averaged closure phases and differential phases (i.e., those resulting from the averaged exposures) are zero within 3°, in absolute value, for both stars and for all the spectral channels. These small values of the closure phases indicate that the emission from both sources is symmetric, at least in the direction of the projected baselines of our observations and to the scale corresponding to our spatial resolution. This is unsuprising, given that we probe only the first lobe of the Fourier transform of the observed source structure, which is, therefore, only partially resolved.

The uncertainties in the amplitude and phase for each spectral channel were computed from their standard deviations during the averaging of the exposures. Fractional uncertainties of only 1 − 2% in the observed visibilities were obtained for all channels and baselines.

2.1. Visibility amplitude and wavelength calibration

A standard calibration procedure, to assign the corresponding wavelength to each spectral channel of the AMBER detector, is not currently available. This is a concern, especially for the mid-resolution and low-resolution modes, where it is difficult, or impossible, to use line profiles either from the observed objects or from Earth’s atmosphere for the calibration. We performed the wavelength (λ) calibration of our AMBER observations by comparing the positions of the minima of the observed CO band heads in RS Cap to their values derived from the models described in Sect. 4.1. The use of different stellar models did not affect our λ calibration at a level higher than our spectral resolution.

In the amplitude calibration, the CHARM2 catalog of high angular-resolution stellar-diameter measurements (Richichi et al. 2005) indicates that the uniform-disk K-band diameter of our calibrator star, 18 Cap, is 5.02 mas. This uniform-disk diameter was used to calibrate the visibility amplitudes by comparing those of 18 Cap to the model predictions corresponding to a uniform disk of 5.02 mas diameter. This amplitude calibration was performed as described in Annex B of the AMBER Data Reduction Software User Manual (Revision 2.1) of the JMMC2.

2.2. Photometry calibration

In Fig. 1a, we show the normalized spectrum of RS Cap, obtained from the average of the photometry channels of the three ATs. We note that there is a clear discontinuity in the spectrum at  ~2.2 μm (a similar discontinuity is also seen in the spectrum of 18 Cap). This discontinuity is caused by the transmission of the K-band fiber of the AMBER instrument. Therefore, it can be understood as an instrumental multiplicative effect, which biases the photometric and interferometric channels in the same way for wavelengths shorter than  ~2.2 μm. An additive contribution to these channels would have affected the contrast of the fringes relative to the photometry and, therefore, would have translated into a changing amplitude of the visibilities, which is not observed. Since any multiplicative bias in the data has no effect on the visibility amplitudes, the atmospheric opacity and any unmodeled gain effect in the detector do not affect the visibilities, but only the observed spectra.

If we wish to use the observed spectrum of RS Cap in our modeling, it is necessary to calibrate it with the atmospheric (and instrumental) spectral transmission profiles. To perform this calibration, we proceeded in the following way: 1) we obtained a template spectrum of an M0III star, which is corrected for atmospheric effects (star BS4371, observed3 by Lançon et al. 2000); 2) we divided the template spectrum by the observed spectrum of 18 Cap, to obtain the inverse of the transmission profile of the atmosphere plus the detector (we call this quantity gain and we show it in Fig. 1b); and 3) we calibrated the spectrum of RS Cap, multiplying it by the gain. The normalized calibrated spectrum is shown in Fig. 2a. By applying this calibration strategy, we assume that the airmass is similar for target and calibrator, which is indeed the case in our observations (see Table 1).

We note that there are some atmospheric telluric lines that can be clearly seen in the transmission profile shown in Fig. 1b; those at 2.45 (three lines), 2.44, 2.42 (three lines blended), 2.37, and 2.32 μm. The effect of the optical-fiber transmission jump at 2.2 μm is also seen in the gain, together with a slight increase as a function of wavelength redward of  ~2.35 μm due to water vapor in the Earth’s atmosphere. We also note that, although the CO bands might have slightly different depths in 18 Cap and BS4371, no clear features are seen in the regions of the CO bands for the gain shown in Fig. 1b.

thumbnail Fig. 1

a) Normalized spectrum of RS Cap, as observed with the ATs; b) inverse of the atmosphere + detector spectral transmission profile.

3. Results and discussion

3.1. Continuum angular diameter and effective temperature

In Fig. 2, we show (a) the normalized spectrum of RS Cap, (b) the amplitude visibilities for the three baselines (higher visibility corresponds to shorter baseline), and (c) the resulting diameter estimates obtained from the fit of a uniformly-bright disk to the visibilities at each spectral channel.

thumbnail Fig. 2

a) Spectrum of RS Cap (normalized); b) calibrated visibility amplitudes; c) uniform-disc angular diameter at each AMBER spectral channel.

The mean uniform-disk angular diameter fitted to the RS Cap visibilities in the continuum (i.e., blueward of 2.29 μm) is θ = 7.75 ± 0.07 mas. To derive the effective temperature accurately, the size estimated with a limb-darkening model must be used, instead of that estimated from a uniform-disc model. We note that Teff is a function of the criterion adopted for the radius of the star. In spherical atmospheres, the actual Teff used to compare to the models should be computed using the diameter at which the Rosseland opacity is 1 (i.e., the Rosseland diameter, θRoss; see, e.g., Sect. 3.4 of Wittkowski et al. 2004).

We estimated the Rosseland diameter of RS Cap by fitting the visibilities in the continuum part of our spectral coverage to the Hankel transform (i.e., Fourier transform of a circularly-symmetric source) of the monochromatic intensity profile of the MARCS atmospheric model described in Sect. 4.1. We show this intensity profile, normalized to a Rosseland radius RRoss = θRoss/2 = 1, in Fig. 3. If this profile is given as I(r) (where I is the intensity normalized to 1 and r is the radial coordinate normalized to the Rosseland radius, RRoss = 1), then the model used to fit the visibilities is

V ( q ) = 0 I ( r / R Ross ) J 0 ( K q r ) r d r , \begin{equation} V(q) = \int_0^\infty{I(r/R_{\mathrm{Ross}})J_0(K\,q\,r)\,r\,\mathrm{d}r}, \label{HankEq} \end{equation}(1)

where J0 is the first-kind Bessel function of order 0, q is the baseline length, and K is a constant to scale r and q to their corresponding units (e.g., milliarcseconds and megawavelengths, respectively). The use of this fitting model, instead of the Hankel transform of a uniform disc, allows us to take into account limb-darkening and, simultaneously, to estimate directly the Rosseland radius (RRoss in Eq. (1)).

thumbnail Fig. 3

Monochromatic intensity profile, normalized to RRoss = 1, corresponding to the MARCS model described in Sect. 4.1. This profile was computed in the continuum part of the spectral coverage of our observations.

The best-fit Rosseland diameter of RS Cap is θRoss = 7.95 ± 0.07 mas. Our size estimate, together with the bolometric flux of (2.1 ± 0.2) × 10-6 erg cm-2 s-1 reported in Richichi et al. (1992), translates into an effective temperature of Teff = 3160 ± 160 K.

Lunar occultations of RS Cap, recorded with the TIRGO telescope at 2.2 μm, resulted in a uniform-disk diameter estimate of 7.75 ± 0.67 mas (Richichi et al. 1992). This diameter, together with the bolometric measurements performed by the same authors, implies an effective temperature of  ~3200 K, higher than the temperature derived from the calibration of Bessel et al. (1998) (~2900 K) and that derived from the calibration of Scalo (1976) (~2600 K), but in agreement with the calibration given in Ridgway et al. (1980). A later re-analysis of the Lunar-occultation events (Richichi et al. 1999), to estimate the Rosseland angular diameter, resulted in an even higher effective temperature for this star (3481 ± 177 K). Dyck et al. (1998) estimated a size of 7.0 ± 0.8 mas from a single-baseline interferometric observation in the K band using the Infrared Optical Telescope Array (IOTA). This size also translates into a higher effective temperature for RS Cap (around 4000 K). Our estimated diameter of RS Cap is compatible with that reported in Richichi et al. (1992) from lunar occultations and that reported in Dyck et al. (1998) from IOTA observations, although the precision in our estimate is an order of magnitude higher.

3.1.1. A word of caution about the use of FINITO

We note that the use of FINITO in our observations may bias the absolute amplitude calibration of the visibilities of each baseline, since the percentage of lost fringes during the DIT is not taken into account in the process of frame integration of each exposure. Any possible bias may be different for calibrator and target, and translate into a different absolute amplitude calibration for each star. As a result, our size estimate of RS Cap might be (slightly) biased even after performing the calibration described in Sect. 2.1. However, the spectral resolution of our observations is much higher than that used in Richichi et al. (1992) and Dyck et al. (1998) (who, indeed, only measured the visibility at one projected baseline). The higher spectral resolution of AMBER allows us to precisely obtain the behavior of visibility amplitudes through relatively wide regions of the Fourier plane. This sampling of visibility amplitudes through the observing band encodes information about the source size, which is independent of the absolute calibration of the visibilities. In Fig. 4, we show the visibility amplitudes in the continuum (i.e. blueward of 2.29 μm) as a function of baseline length. In the figure, we also show the model predictions using a uniform-disk diameter of 7.75 ± 0.07 mas. It can be seen that a disk model with this diameter satisfactorily fits the visibilities of all baselines through the whole spectral coverage in the continuum. This result gives us confidence about the amplitude calibration of the RS Cap visibilities.

thumbnail Fig. 4

Visibility amplitudes between 2.13 and 2.29 μm as a function of baseline length. Black, observations; red, model predictions with a uniform-disk diameter of 7.75 + 0.07 mas (lower line) and 7.75 − 0.07 mas (upper line).

3.2. CO first overtone bands: λ > 2.3 μm

In Fig. 2c, there are two clear aspects in the region of CO first overtone bands (λ > 2.3 μm) worth noticing. On the one hand, we see an increase of  ~10% in size for all the CO band heads, compared to the sizes in the continuum. On the other hand, there is a linear trend of increasing size with observing wavelength, beginning at 2.29 μm. Owing to this latter effect, the size in the continuum at 2.45 μm is  ~12% larger than the size in the continuum for the wavelengths shorter than 2.29 μm.

Large size increases redward of 2.29 μm have been observed in Mira stars (Woodruff et al. 2009), which are interpreted as being caused by water-vapor extended zones. However, in those cases, the size variations reported are 3–4 times larger than that observed in RS Cap. In Sect. 4.2, we discuss how our model of water-vapor envelope can explain the observed increasing size in RS Cap redward of 2.29 μm.

4. Modeling

4.1. MARCS model atmosphere

We compared the observed size effects in RS Cap with different model atmospheres computed with the MARCS code (e.g. Gustafsson et al. 2008). The MARCS code computes the hydrostatic atmospheric structure in radiative and convective equilibrium for spherical atmospheres with molecular and atomic lines taken into account using the opacity sampling method. Each model in spherical geometry (suitable for AGB stars) is specified by the effective temperature (Teff), surface gravity (log g), stellar mass (M), microturbulent velocity, and chemical composition.

For Teff, we adopted 3200 K, the nearest possible value in MARCS models to our estimated 3160 K. We also assume the “moderately CN-cycled” chemical composition (C/N = 1.5 and 12C/13C = 20), which is usually found in stars after the red giant branch, and [Fe/H] = 0.0. The stellar mass can be estimated by comparing with theoretical stellar evolutionary tracks, once Teff and the luminosity are known. While the parallax of RS Cap is not precisely measured (the relative error is on the order of 70%, so the error in the luminosity can be as large as an order of magnitude), Winters et al. (2003) estimated the luminosity of RS Cap to be log L/L = 3.82, by applying the period-luminosity relation for semi-regular variables given by Feast (1996)4. From Fig. 5 of Feast (1996), we estimated an uncertainty of  ± 0.25 in the bolometric absolute magnitude of RS Cap, which translates into an error of up to 20–25% in the luminosity, much smaller than that related to the Hipparcos parallax. The luminosity from Winters et al. (2003), together with the above Teff, places RS Cap close to the evolutionary track of a 2 M star with Z = 0.02, computed by F Herwig5. Therefore, we adopted 2 M for RS Cap.

We note that the luminosity estimated by Winters et al. (2003) for RS Cap is much higher than that corresponding to an RGB star with 2 M (which is only log L/L ~ 3). Therefore, according to its luminosity, RS Cap would be clasified as an AGB star, as it is indeed assumed in the P-L relation by Feast (1996). The luminosity estimated in this way for RS Cap is, thus, self-consistent in the framework of the P-L relation of semi-regular AGB stars.

From the luminosity and Teff, we estimated a stellar radius of  ~260 R, which, combined with our angular-size estimate, translates into a distance of about 310 pc. Hence, from the adopted stellar mass of 2 M and the estimated radius, we derive log g ~  −0.1. We adopted log g = 0.0 for the selection of the MARCS models. For the microturbulent velocity, we used the MARCS models with 2 and 5 km s-1. However, the effects of this parameter on the visibility are very small.

We downloaded the models with the above parameters from the MARCS website6. Using the temperature and pressure stratifications of the model, we computed the monochromatic intensity profiles and the synthetic spectrum for the spectral range of our AMBER observations with a fine wavelength mesh of 1.4 km s-1, sampling several points over each line profile. The CO (12C16O, 12C17O, 12C18O, and 13C16O) and H2O lines were taken from the line lists of Goorvitch (1994) and Partridge & Schwenke (1997), respectively. The monochromatic visibilities were computed from the Hankel transform (i.e., Fourier transform of a circularly-symmetric distribution) of the monochromatic intensity profiles (computed as described in Ohnaka et al. 2006) and then convolved to the spectral resolution of our AMBER measurements.

In Quirrenbach et al. (2001), limb-darkened photospheric models were used to generate equivalent disk sizes. These sizes were then compared to the disk sizes fitted to the MkIII visibilities. In our case, this approach would have had the disadvantage of being sensitive to scaling factors between different baselines (i.e., to the absolute amplitude calibration) and would have depended on the use of an intermediate model (a uniform disk) to compare observations to models. To avoid those drawbacks, we chose a new approach to the modeling of the RS Cap visibilities, which minimizes the effect of possible calibration artifacts between baselines and, in addition, avoids the use of an intermediate fit to a disk. The synthetic visibilities obtained from the MARCS models were computed at the points of the Fourier plane corresponding to each exposure in our observations. We then averaged the synthetic visibilities over all the exposures, in the same way as we did with the real data. In this way, we directly compare the observed visibilities to the model predictions.

We show in Fig. 6 a comparison between observed visibilities (black lines) and those computed from the MARCS model using Teff = 3200 K, M = 2 M, and log g = 0 (blue lines). The match between observations and model predictions in the continuum (i.e., for wavelengths shorter than  ~2.3 μm) is very good.

The reduced χ2 for this model is χred2=18.2\hbox{$\chi^2_{\mathrm{red}} = 18.2$}. The relatively large depth of the features of the CO band heads cannot be reproduced by the model. The discrepancy remains even if we lower the mass to values as low as M = 1 M (models with higher masses predict more compact atmospheres and, therefore, smaller size effects in the CO band heads). Additionally, the observed visibility amplitudes at wavelengths longer than  ~2.29 μm are systematically lower than the model predictions; this difference between model and observations is larger at longer wavelengths. In other words, the effective size of the star at wavelengths longer than  ~2.29   μm is systematically larger than the effective size derived from the MARCS model.

4.2. An additional water-vapor envelope

An extra contribution must be added to the MARCS models to fit the visibilities in the observed spectral range. We can reproduce the lower visibility amplitudes (i.e., the larger effective sizes) beyond 2.29 μm by adding a contribution to the stellar opacity due to water vapor around the star. The opacity corresponding to the wide absorption of water vapor centered at  ~2.7 μm may account for the larger angular sizes observed at the longer wavelengths.

We added a simple water-vapor model envelope to the MARCS pressure/density profiles, consisting of a narrow spherical shell with a radius of 2 and a width of 0.1 (both in units of the stellar radius), a column density of 1021 cm-2, and a temperature of 1500 K. Using these parameters, we are able to fit the amplitude visibilities at λ > 2.29   μm, as we show in Fig. 6 (red lines). With this model, we obtain χred2=8.1\hbox{$\chi^2_{\mathrm{red}} = 8.1$}. This large reduced χ2 is partially due to the discrepancy in the CO bands, which is discussed in Sect. 4.3. Our model follows the general trend of decreasing visibility amplitudes for wavelengths longer than 2.3 μm, although underestimates the visibility amplitudes at wavelengths longer than 2.4 μm. Changing the column density by a factor of ten results in an increase of χred2\hbox{$\chi^2_{\mathrm{red}}$} by a factor 2 − 3; a slight modification of the water-vapor temperature (~15%) increases χred2\hbox{$\chi^2_{\mathrm{red}}$} by a factor  ~2; and changing the size of the shell by a factor of two increases the χred2\hbox{$\chi^2_{\mathrm{red}}$} by a factor  ~2.

Although the water-vapor envelope enhances the contrast of the CO features in the visibilities, thus improving the fit also in the CO band heads, the observed depths in the band heads are still larger than those of the model for some band heads (~50% for the band head at 2.29 μm). Furthermore, increasing (decreasing) the stellar mass results in smaller (larger) depths of the visibility amplitudes in the CO band heads, but decreasing the mass to a value as low as 1 M does not translate into CO visibility amplitudes comparable to those of the observations, even after the addition of the water envelope (the χred2\hbox{$\chi^2_{\mathrm{red}}$} using 1 M is only 7.2% lower than that using 2 M).

In Fig. 5, we show the calibrated spectrum of RS Cap (black) and, superimposed, the synthetic spectra obtained from the MARCS model only (blue) and the MARCS model with an additional water-vapor envelope (red). Both model spectra are very similar, and only differ for the longest wavelengths, where the model with water envelope predicts a slightly lower flux. Since the fit of both models to the observed spectrum is of similar quality, it is difficult to extract any additional conclusion about the water-vapor envelope from the spectrum alone.

thumbnail Fig. 5

Calibrated spectrum of RS Cap (black), synthetic MARCS spectrum (blue), and synthetic spectrum with the additional water-vapor envelope (red).

4.2.1. Water-vapor envelopes in AGBs. The problem of RS Cap

The presence of dense water vapor envelopes in semi-regular or irregular (i.e., non-Mira-type) AGB stars was first revealed by Tsuji et al. (1997), who unmasked the 2.7 μm water vapor band originating in the dense molecular layers extending to  ~2 stellar radii. On the basis of infrared interferometric observations, Mennesson et al. (2002) found an increase in the angular size of 30–60% between the K and L′ band in five semi-regular AGB stars, which the authors interpreted as being due to the emission from the extended molecular layers. However, they used filters which are incapable of spectrally resolving the water vapor bands. Our AMBER measurements are the first study to spatially and spectrally resolve the water vapor emission from the dense molecular layers for a semi-regular AGB star.

thumbnail Fig. 6

Black: AMBER visibilities of RS Cap. Blue: model visibilities computed using a MARCS pressure-density profile (see text). Red: model visibilities computed using the MARCS pressure-density profile and an additional water-vapor envelope (see text).

We note that a similar increase in the angular diameter redward of 2.3 μm is also found in Mira stars. Based on K-band interferometry using narrow-band filters with a spectral resolution of  ~20, Perrin et al. (2004) showed that the angular diameters of Mira stars are larger at 2.0 and 2.4 μm than at 2.2 μm. Wittkowski et al. (2008) observed the Mira star S Ori from 1.29 to 2.32 μm using AMBER with a spectral resolution of 35 and found that the angular size increases redward of 2.2 μm. The wavelength dependence of the angular size of Mira stars from the near- to mid-infrared is primarily governed by the opacity of water vapor, which is abundant in the atmosphere of Mira stars (e.g., Ohnaka 2004; Wittkowski et al. 2008). The model by Tej et al. (2003) shows that a shell with an enhanced water vapor abundance forms behind a shock front propagating outward in the extended atmosphere of Mira stars. Comparison between infrared interferometric observations of Mira stars and dynamical models lends support to this picture (e.g., Ohnaka et al. 2006; Wittkowski et al. 2007).

The shock wave in Miras is generated by the periodic, large-amplitude pulsation. Therefore, the shock in non-Mira stars with much smaller variability amplitude is expected to be much weaker. However, despite the striking difference in the variability amplitude (ΔV = 6–9 and 0.5–2 for Miras and RS Cap, respectively), the semi-regular AGB star RS Cap produces a warm water vapor envelope similar to that of Miras. The column density, temperature, and radius of the water vapor envelope derived for RS Cap are similar to those derived for Mira stars (Ohnaka 2004). Not only the properties of the water-vapor envelope, but also the mass-loss rate of RS Cap (~1 × 10-6M yr-1) is comparable to that of Miras (e.g., 5 × 10-7M yr-1 for S Ori) (estimates from Winters et al. 2003).

The dynamical models with small-amplitude pulsations, reported in Winters et al. (2003), produce outflows slower than 5 km s-1 with mass-loss rates lower than 3 × 10-7M yr-1. However, the expansion velocity measured for RS Cap is  ~10 km s-1 (Winters et al. 2003). Therefore, it is not clear whether this kind of small-amplitude pulsation model applies to RS Cap. At the moment, there is no satisfactory explanation for the origin of the warm water envelope in RS Cap.

4.3. An additional CO envelope

It can be seen in Fig. 6 that the observed visibility amplitudes at the CO band heads are much lower than the model predictions, either with or without a water-vapor envelope. This discrepancy is especially large for the shortest baseline (i.e. E0 − G0) at the 2.29 μm band head. The low visibility amplitudes at the CO band heads provide evidence of an extended envelope of CO around the star. For instance, if  ~20% of the emission in the CO band head at 2.29 μm were to originate from a very extended envelope of, say,  ~20 mas radius or larger, it would map into a decrease in the visibility amplitude that would roughly match the observations in that part of the spectrum. Unfortunately, we do not have enough data to be able to characterize well this possible extra component of CO absorption.

5. Conclusions

We have observed the AGB star RS Cap with VLTI/AMBER in the K band with medium-resolution mode (506 channels between 2.13 and 2.47 μm). We have estimated a Rosseland diameter of 7.95 ± 0.07 mas in the continuum, which translates into an effective temperature of 3160 ± 160 K. The apparent size of the star increases monotonically by  ~12% between 2.29 and 2.47 μm. We have detected lower than expected visibility amplitudes in all the CO band heads observed. These lower amplitudes translate into larger apparent sizes of the star in the CO band heads.

Using the pressure/density model profiles obtained with the MARCS code, we have been able to generate synthetic visibilities and compare them directly to our AMBER observations. The fit is rather good, although we are unable to reproduce the low visibility amplitudes in the CO band heads using a mass for RS Cap estimated from the theoretical models of stellar evolution. In this sense, our situation resembles that of Quirrenbach et al. (2001), who observed interferometrically a sample of cool-giant stars in the TiO absorption band at 712 nm. The discrepancy between models and observations in the CO band heads might be resolved either by using a much lower mass for RS Cap (below 1 M, thus in contradiction with the stellar-evolution models) or by additional unmodeled effects in the base of the stellar wind (a transition zone with prominent absorption in the CO bands).

To fit the observations at wavelengths longer than 2.29 μm, we have found that an ad hoc narrow spherical water-vapor envelope around the star, similar to the models used in Perrin et al. (2004), must be added. We have modeled this envelope with a temperature of 1500 K, a size twice that of the star, a width of 0.1 times the stellar radius, and a column density of 1021 cm-2.

Finally, there is a hint of an extended CO envelope around the star, based on the low visibility amplitudes at the CO band heads in the shortest baseline.


1

To be precise, two pieces of information are lost in the differential phase, compared to the original Fourier phase: the phase offset (or phase at the first spectral channel) and the phase gradient (phase as a linear function of wavenumber).

3

This spectrum has a resolution of λλ ~ 1100, similar to that of our observations.

4

Although the period-luminosity relation is a matter of debate, as Winters et al. (2003) mention.

Acknowledgments

I.M.V. is a fellow of the Alexander von Humboldt Foundation in Germany. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. Partial support from Spanish grants AYA-2006-14986-C02, AYA2009-13036-C02-02, and Prometeo 2009/104 is acknowledged.

References

  1. Bessell, M. S., Castelli, F., & Plez, B. 1998, A&A, 333, 231 [NASA ADS] [Google Scholar]
  2. Claret, A. 2004, A&A, 424, 919 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Cutri, R. M., Skrutskie, M. F., van Dyk, S., et al. 2003, The IRSA 2MASS All-Sky Point Source Catalog, NASA/IPAC Infrared Science Archive [Google Scholar]
  4. Dyck, H. M., van Belle, G. T., & Thompson, R. R. 1998, AJ, 116, 981 [NASA ADS] [CrossRef] [Google Scholar]
  5. Gai, M., Menardi, S., Cesarec S., et al. 2004, The VLTI Fringe Sensors: FINITO and PRIMA FSU, SPIE Proc. 5491, Glasgow [Google Scholar]
  6. Feast, M. W. 1996, MNRAS, 278, 11 [NASA ADS] [CrossRef] [Google Scholar]
  7. Goorvitch, D. 1994, ApJS, 95, 535 [NASA ADS] [CrossRef] [Google Scholar]
  8. Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Kukarkin, B. V., Kholopov, P. N., Efremov, Yu. N., et al. 1969, General Catalog of Variable Stars, Academy of Sciences of the USSR, Moscow [Google Scholar]
  10. Lançon, A., & Wood, P. R. 2000, A&AS, 146, 217 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Manduca, A. 1979, A&ASS, 36, 411 [NASA ADS] [Google Scholar]
  12. Mennesson, B., Perrin, G., Chagnon, G., et al. 2002, ApJ, 579, 446 [NASA ADS] [CrossRef] [Google Scholar]
  13. Ohnaka, K. 2004, A&A, 424, 1011 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Ohnaka, K., Scholz, M., & Wood, P. R. 2006, 446, 1119 [Google Scholar]
  15. Partridge, H., & Schwenke, D. W. 1997, J. Chem. Phys., 106, 4618 [NASA ADS] [CrossRef] [Google Scholar]
  16. Perrin, G., Ridgway, S. T., Mennesson, B., et al. 2004, A&A, 426, 279 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Perryman, M. A. C., & ESA 1997, The Hipparcos and Tycho catalogues, Noordwijk (The Netherlands: ESA Publications Division): ESA SP Ser., 1200 [Google Scholar]
  18. Petrov, R. G., Malbet, F., Weigelt, G., et al., A&A, 464, 1 [Google Scholar]
  19. Quirrenbach, A., Mozurkewich, D., Armstrong, J. T., et al. 1993, ApJ, 406, 215 [NASA ADS] [CrossRef] [Google Scholar]
  20. Quirrenbach, A., Mozurkewich, D., Armstrong, J. T., et al. 2001, BAAS, 33, 882 [NASA ADS] [Google Scholar]
  21. Richichi, A., Di Giacomo, A., Lisi, F., & Calamai, G. 1992, A&A, 265, 535 [NASA ADS] [Google Scholar]
  22. Richichi, A., Fabbroni, L., Ragland, S., & Scholz, M. 1999, A&A, 344, 511 [NASA ADS] [Google Scholar]
  23. Richichi, A., Percheron, I., & Khristoforova, M. 2005, A&A, 431, 773 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Ridgway, S. T., Jacoby, G. H., Joyce, R. R., & Wells, D. C. 1980, AJ, 85, 1496 [NASA ADS] [CrossRef] [Google Scholar]
  25. Rogers A. E. E., Hinteregger, H. F., Whitney, A. R., et al. 1974, ApJ, 193, 293 [NASA ADS] [CrossRef] [Google Scholar]
  26. Scalo, J. M. 1976, ApJ, 206, 474 [NASA ADS] [CrossRef] [Google Scholar]
  27. Tatulli, E., Millour, F., Chelli, A., et al. 2007, A&A, 464, 29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Tej, A., Lançon, A., & Scholz, M. 2003, A&A, 401, 347 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Tsuji, T. 1988, A&A, 197, 185 [NASA ADS] [Google Scholar]
  30. Tsuji, T. 2008, A&A, 489, 1271 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Tsuji, T., Ohnaka, K., Aoki, W., & Yamamura, I. 1997, A&A, 320, L1 [NASA ADS] [Google Scholar]
  32. van Leeuwen, F. 2007, Astrophysics and Space Science Library, 350 [Google Scholar]
  33. Weiner, J., Hale, D. D. S., & Townes, C. H. 2003a, ApJ, 588, 1064 [NASA ADS] [CrossRef] [Google Scholar]
  34. Weiner, J., Hale, D. D. S., & Townes, C. H. 2003b, ApJ, 589, 976 [NASA ADS] [CrossRef] [Google Scholar]
  35. Winters, J. M., Le Bertre, T., Jeong, K. S., Nyman, L.-Å., & Epchtein, N. 2003, A&A, 409, 715 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Wittkowski, M., Aufdenberg, J. P., & Kervella, P. 2004, A&A, 413, 711 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Wittkowski, M., Boboltz, D. A., Ohnaka, K., Driebe, T., & Scholz, M. 2007, A&A, 470, 191 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Wittkowski, M., Boboltz, D. A., Driebe, T., et al. 2008, A&A, 479, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Woodruff, H. C., Ireland, M. J., Tuthill, P. G., et al. 2009, 691, 1328 [Google Scholar]

All Tables

Table 1

Details of our observations.

All Figures

thumbnail Fig. 1

a) Normalized spectrum of RS Cap, as observed with the ATs; b) inverse of the atmosphere + detector spectral transmission profile.

In the text
thumbnail Fig. 2

a) Spectrum of RS Cap (normalized); b) calibrated visibility amplitudes; c) uniform-disc angular diameter at each AMBER spectral channel.

In the text
thumbnail Fig. 3

Monochromatic intensity profile, normalized to RRoss = 1, corresponding to the MARCS model described in Sect. 4.1. This profile was computed in the continuum part of the spectral coverage of our observations.

In the text
thumbnail Fig. 4

Visibility amplitudes between 2.13 and 2.29 μm as a function of baseline length. Black, observations; red, model predictions with a uniform-disk diameter of 7.75 + 0.07 mas (lower line) and 7.75 − 0.07 mas (upper line).

In the text
thumbnail Fig. 5

Calibrated spectrum of RS Cap (black), synthetic MARCS spectrum (blue), and synthetic spectrum with the additional water-vapor envelope (red).

In the text
thumbnail Fig. 6

Black: AMBER visibilities of RS Cap. Blue: model visibilities computed using a MARCS pressure-density profile (see text). Red: model visibilities computed using the MARCS pressure-density profile and an additional water-vapor envelope (see text).

In the text

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