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Mon. Not. R. Astron. Soc. 343, 880–890 (2003) Mid-infrared imaging of the dust shell around the post-asymptotic giant branch star HD 161796 T. M. Gledhill1 and J. A. Yates2 1 Department 2 Department of Physical Sciences, University of Hertfordshire, College Lane, Hatfield, Hertfordshire AL10 9AB of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT Accepted 2003 April 16. Received 2003 April 11; in original form 2002 August 10 ABSTRACT We present mid-infrared (IR) images of HD 161796 (IRAS 17436+5003), taken with the OSCIR imager on the Gemini North Telescope, that resolve for the first time the thermal emission structure of the dust shell around this post-asymptotic giant branch (AGB) star. As well as a basic axisymmetric structure, the observations show deviations from axisymmetry in the dust density and a twist in the symmetry axis. Modelling of the mid-IR images and of the spectral energy distribution from ultraviolet to submillimetre wavelengths reproduces all of the axisymmetric features with an equator-to-pole density contrast of 6 : 1 and an inclination of the symmetry axis of 10◦ to the plane of the sky. We find that a model incorporating small (0.01µm) grains and a steep (∝ a −6 ) power-law size distribution can successfully account for the thermal emission and for the observed degrees of near-IR polarization. Assuming a distance of 1.2 kpc to HD 161796, the stellar luminosity is 3.4 × 103 L and the mass of the shell is ∼0.7 M . This is consistent with a star of initial mass between 1 and 2 M that has undergone an intensive (2.2 × 10−4 M yr−1 ) phase of mass loss lasting about 3000 yr at the end of the AGB. A current stellar mass of 0.56 M , as indicated by the luminosity, suggests that HD 161796 is a few hundred years into its post-AGB evolution and will take about 5000 yr to evolve from its present temperature of 7500 K to become the central star of an extended elliptical planetary nebula. Key words: radiative transfer – stars: AGB and post-AGB – circumstellar matter – stars: individual: HD 161796 – stars: individual: IRAS 17436+5003 – stars: mass-loss. 1 INTRODUCTION The sharp decrease in mass-loss rate, from ∼10−4 M yr−1 at the end of the asymptotic giant branch (AGB), to ∼10−7 M yr−1 in the post-AGB phase, leads to a detached circumstellar envelope (CSE) of gas and dust, slowly expanding away from the star (e.g. Blöcker 1995; Steffen, Szczerba & Schönberner 1998). In this immediate post-AGB phase, the star has yet to develop a fast wind or become hot enough to photoionize the gas, so that the CSE provides a relatively undisturbed cumulative history of the mass-loss events that created it. By imaging the CSE in this phase, we can obtain an improved understanding of how the mass-loss rate varies at the end of the AGB. A number of imaging studies of post-AGB objects, or protoplanetary nebulae (PPN), have now been made at optical (Ueta, Meixner & Bobrowsky 2000), near-infrared (Gledhill et al. 2001) and mid-infrared (e.g. Dayal et al. 1998; Meixner et al. 1999; Jura, Chen & Werner 2000; Ueta et al. 2001) wavelengths. These studies have shown the CSE to have an axisymmetric dust distribution, in E-mail: [email protected] dicating that the shift from spherically symmetric to axisymmetric mass loss occurs at the end of the AGB. The cause of the shift to axisymmetric outflow is not known, although a number of possible models have been advanced. Most involve a binary companion to the mass-losing AGB star, in either a detached or a common-envelope configuration (e.g. Mastrodemos & Morris 1999, and references therein). It has also been proposed that the stellar magnetic field may play an important role in the formation of an equatorial outflow (Matt et al. 2000; Blackman, Frank & Welch 2001; Gardiner & Frank 2001). In order to aid discrimination between possible models, we need to know the detailed density structure of the CSE close to the end of the AGB. This is the precise region probed by mid-infrared (IR) studies, where emission originates from warm dust at the inner edge of the expanding dust shell. In the post-AGB phase, the inner radius of the CSE is expected to be ∼1016 cm (Steffen et al. 1998), so that sub-arcsecond angular resolution is required to image this region. With the recent availability of mid-IR imagers on 8-m class telescopes, this is now possible. HD 161796 (IRAS 17436+5003) is a post-AGB star with an F3Ib spectral type (Fernie & Garrison 1984) and the double-peaked IR spectral energy distribution (SED) characteristic of emission C 2003 RAS Mid-IR imaging of post-AGB star HD 161796 from a detached CSE (van der Veen, Habing & Geballe 1989; Hrivnak, Kwok & Volk 1989). The envelope has an O-rich chemistry (Justtanont et al. 1992) and appears as a reflection nebula at optical and near-IR wavelengths (Ueta et al. 2000; Gledhill et al. 2001). Previous mid-IR imaging with the 3.8-m UK Infrared Telescope (UKIRT), at 8, 10 and 12 µm, detected the detached CSE and, using image deconvolution techniques, allowed the radius of the inner boundary to be estimated (Skinner et al. 1994). A detailed fit to the SED from ultraviolet (UV) to submillimetre (sub-mm) wavelengths, including emission-line features revealed by ISO observations, has provided evidence for the presence of crystalline water ice and silicates in the CSE of the star (Hoogzaad et al. 2002). Meixner et al. (2002) have recently modelled the UKIRT imaging data of Skinner et al. (1994) to provide a structural model of the CSE. In this paper, we present mid-IR imaging of HD 161796 using the OSCIR camera on the 8.1-m Gemini North Telescope. The resulting spatial resolution allows us to image the thermal emission from the warm dust and to resolve the structure of the inner envelope. The observations are modelled using an axisymmetric radiation transport (RT) code to determine the detailed density distribution of dust within the CSE. 2 O B S E RVAT I O N S A N D DATA R E D U C T I O N Imaging observations of HD 161796 were made on 2001 July 12 using the University of Florida mid-IR camera OSCIR, mounted at the Cassegrain focus of the 8.1-m Gemini North Telescope on Mauna Kea, Hawaii. This arrangement provides an image scale of 0.084 arcsec pixel−1 and a field of view of 11 × 11 arcsec2 . The standard chopping and nodding technique was used to correct for the thermal background with a chop frequency of 3 Hz and a chop throw of 15 arcsec. Frame times were 10 and 26 ms, respectively, through the broad- and narrow-band filters, with approximately 4 min of onsource exposure time for each filter. Flat-field images were obtained for each filter by exposing on sky and on a polystyrene flat-field source without chopping and nodding and the flat-field constructed using the OFLAT task, which is part of the GEMINI package within IRAF. The observing details are summarized in Table 1. The observations were reduced using the OREDUCE tasks in the GEMINI IRAF package to produce a single flat-field-corrected image, comprising the average of the chop and nod differences, for each filter. Flux calibration was achieved by observing Vega before and after HD 161796. We found that the Vega fluxes increased by up to a factor of 3 (depending on filter) between the two measurements, suggesting that the atmospheric transmission improved substantially during our observations of HD 161796. We have assumed that this improvement was linear with time and have interpolated to get a calibration factor for each filter. Although atmospheric transmission varied during the observations, the image quality remained stable. Table 1. Details of the observations of HD 161796 through each filter, showing the central wavelength (λc ), bandpass (λ) and the integrated flux. The FWHM of the PSF, estimated from observations of Vega, are also given. C Filter λc (µm) λ (µm) FWHM (arcsec) N wide S 7.9 S 9.8 S 11.7 Q3 10.75 7.91 9.80 11.70 20.80 5.23 0.76 0.95 1.11 1.65 0.52 0.48 0.48 0.52 0.85 2003 RAS, MNRAS 343, 880–890 Flux (Jy) 5.9 0.5 8.0 8.1 168.7 881 We have used the Vega observations as an indication of the point spread function (PSF) and the full width at half-maximum (FWHM) is quoted for each filter in Table 1. The fluxes obtained by integrating within a circular aperture containing all of the visible emission at each wavelength are shown in Table 1. Owing to the uncertainty in the flux calibration factor, the errors on the fluxes could be as high as ±50 per cent. 3 R E S U LT S A N D A N A LY S I S Fig. 1 shows images of HD 161796 through the narrow-band S 7.9, S 9.8 and S 11.7 filters and the wide-band N and Q3 filters. In the bottom right of each panel we show a contour plot of the Vega observation as an indication of the PSF shape. In the S 7.9 filter, an unresolved peak is seen, which we attribute to emission from the star itself, with some evidence of faint surrounding nebulosity. This is consistent with the double-peaked nature of the SED (e.g. Hrivnak et al. 1989) and the position of the S 7.9 filter at the minimum between the optical/near-IR and mid-IR parts of the SED, so that it may contain both photospheric and circumstellar emission. The slight north-east to south-west (NE–SW) elongation of the peak resembles the elongation of the PSF, which also indicates that we are seeing the star. With the assumption that the star is coincident with the 7.9-µm flux peak, this forms the origin of the coordinate system. In order to align all of the filters on to a common coordinate system, a shift in image position on the detector, which occurs between filter settings, was compensated for using the observations of Vega. Apart from the short-wavelength S 7.9 filter image, the mid-IR images are dominated by the extended thermal emission from the dust shell around HD 161796. In the 10-µm region (S 9.8, S 11.7 and N filters), the appearance is of a round nebulosity with a diameter of approximately 3 arcsec. The most striking features are the two arcs of emission positioned either side of the star and superimposed upon a central brightness plateau. These arcs correspond to the ‘brightness enhancements’ seen in the deconvolved UKIRT images of Skinner et al. (1994), which are resolved here for the first time. Beyond the arcs the surface brightness falls off rapidly. The object has similar structure at 20 µm but appears more extended with a fainter halo surrounding the bright central region. The faint halo is elongated in a N–S direction, giving a total extent at 20 µm of 4.6 × 6.0 arcsec2 . 3.1 Detailed brightness structure In the N wide image, there is a central ‘spur’ of nebulosity extending from the eastern arc towards the position of the star. It is possible that this image contains emission from the star itself, since the N wide filter includes emission from wavelengths down to 8.1 µm. However, a similar co-spatial structure is also seen in the 9.8-µm narrow-band image (which is included within the wavelength range of the N wide filter) but is broadened into a bar-like structure joining the two arcs on either side of the stellar position. The structure is absent in the 11.7-µm image and may, therefore, be due to a particular silicate dust feature radiating within the S 9.8 band. In Fig. 2 we show both radial and azimuthal profiles passing through the bright arcs, the peaks of which appear in the same position relative to the coordinate centre in each filter. The locations of the profiles are shown in the bottom right panel of Fig. 1. The radial profile is taken along a line at position angle (PA) 120◦ , which passes to the south of the coordinate origin, since the peaks are not positioned diametrically opposite the star. The separation of the peaks is 1.2 arcsec. It is also clear that, in each filter, the eastern peak is brighter than the western peak, the intensity ratio being 1.3 ± 0.1. 882 T. M. Gledhill and J. A. Yates S_7.9 N–wide S_9.8 Q3 S_11.7 Figure 1. Images of HD 161796 and its dust shell through five mid-IR filters. Note that the Q3 filter image has a larger scale so as to show the extended faint emission. Contours of equal surface brightness are linearly spaced, in mJy pixel−1 and have the following values: N wide – 2 to 14 in intervals of 1; Q3 – 10 to 230 in intervals of 20; S 7.9 – 5, 8, 11; S 9.8 – 2 to 18 in intervals of 2; S 11.7 – 2 to 18 in intervals of 2. The PSF is shown contoured in the lower right corner of each panel. The bottom right panel shows the location of the radial and azimuthal profiles in Fig. 2, superimposed on the 11.7-µm image with selected contours. This figure is available in colour in the online version of the journal on Synergy. The azimuthal profile is taken using a circular annulus with inner and outer radii of 0.59 and 0.76 arcsec, centred on the coordinate origin. This profile illustrates the variation in surface brightness with PA around the star, in particular the contrast between the peaks along PA 120◦ and the intervening ‘troughs’. The ratio of maximum to minimum surface brightness from the azimuthal profiles is 2 ± 0.1, with the exception of the Q3 filter, where it is 1.4 ± 0.1. In addition, the trough to the NE is deeper than that to the SW. C 2003 RAS, MNRAS 343, 880–890 Mid-IR imaging of post-AGB star HD 161796 883 Q3 S_11.7 S_9.8 N–wide S_7.9 Figure 3. The dust temperature distribution obtained from the ratio of flux in the S 11.7 and Q3 filters (see text). Contours are at 95, 100, 105, 110 and 115 K. Q3 the line joining the peaks. We already know that the dust emission is not truly axisymmetric, since one peak is brighter than the other, but it also seems that there must be more than one axis, with a twist in orientation between the central and outer regions. The bright arcs are also seen in near-IR polarized light images (Gledhill et al. 2001), which were interpreted in terms of scattering from the inner edge of a detached circumstellar dust shell. The near-IR images also show a tendency for a twist in the symmetry axis between that defined by the arcs and that of the outer faint halo. 3.2 Dust temperature S_11.7 S_9.8 N–wide The multiwavelength imaging can be used to estimate the temperature of the circumstellar dust by making a number of simplifying assumptions. Assuming that the dust is isothermal along a line of sight, with temperature T d , that it is optically thin and that the emissivity has a power-law variation with frequency, with index p, then we can write Td = (hc/k)(1/λ2 − 1/λ1 )/ ln (Iλ1 /Iλ2 )(λ1 /λ2 ) p+3 , Figure 2. Radial (upper) and azimuthal (lower) surface brightness profiles through the bright arcs in each filter. The locations of the profiles are shown in the lower right panel of Fig. 1. The data values for the Q3 filter are divided by 10. This figure is available in colour in the online version of the journal on Synergy. (1) where I λ1 and I λ2 are surface brightnesses at wavelengths λ1 and λ2 (Dayal et al. 1998). We use the S 11.7 and Q3 band images to compute the dust temperature, since these contain emission from circumstellar dust but not from the star and are on the steeply rising (Wien) part of the SED. If we assume p lies between 0 and 1, then with p = 0.5 the temperature distribution shown in Fig. 3 is obtained, with a maximum dust temperature of 120 K. Despite the number of assumptions, the result is fairly robust: variation of p by ±0.5 results in a temperature variation of ∓20 K. 4 AN AXISYMMETRIC DUST MODEL The faint outer halo, seen in the Q3 image, is elongated at a PA of 5◦ , and has a similar spatial extent and orientation to both the optical (Ueta et al. 2000) and near-IR (Gledhill et al. 2001) reflection nebulosities. This is to be expected if the scattered light and thermal emission originate from the same optically thin distribution of dust. However, the two brightness peaks, seen in all filters apart from the short 7.9-µm filter, define an axis at a PA of 30◦ , perpendicular to C 2003 RAS, MNRAS 343, 880–890 A 2D (axisymmetric) radiation transport (RT) code is used to model the thermal emission from the dust in the CSE around HD 161796. This is based on an original code by Efstathiou & Rowan-Robinson (1990), modified to include a power-law size distribution of dust grains, with up to seven different grain materials. The dust temperature for each grain material is calculated separately by the RT code. 884 T. M. Gledhill and J. A. Yates 4.1 Model description and parameters In order to simulate the observations, we use a simple model for an axisymmetric shell based on the density distribution of Kahn & West (1985), with inner and outer radii of r 1 and r 2 . Within the shell (r 1 r r 2 ), the number density of dust grains, n, is a function of radial distance from the star, r, and polar angle, θ , such that n = n 1 (r/r1 )−α (1 + sinγ θ ), (2) where n 1 is the dust density at r1 . The radial density fall-off is controlled by α, and a density contrast of (1 + ) is created between the equator and pole. The parameter γ determines how quickly the dust density falls off from the equator to the pole and, therefore, how much material is concentrated in the equatorial regions. We assume that the dust grains are spherical with a single powerlaw distribution of grain sizes for all grain materials. Grain radii range from a min to a max with power-law index q. A dust model based on silicate grains is adopted in view of the well-established O-rich chemistry of the CSE of HD 161796 (e.g. Justtanont et al. 1992). Hoogzaad et al. (2002) used a spherically symmetric RT code to model the UV to sub-mm SED, including the detailed emission features revealed in the ISO spectrum. These authors used a four-component dust model incorporating amorphous silicates (Ossenkopf, Henning & Mathis 1992), water ice (Bertie, Labbé & Whalley 1969; Warren 1984) and a small proportion (10 per cent) of crystalline enstatite and forsterite, to fit the emission features. We have used the same basic components in our model. The water ice is assumed to exist as a coating on a proportion of the amorphous silicate grains, with the remainder being uncoated. The radius of the coated grains is assumed to be proportional to the core radius, a c , so that a = f a c , and the coating thickness is a c ( f − 1). The relative proportion of each grain type, the coating thickness and the grain size distribution are treated as free parameters, since our 2D RT calculation may be expected to yield different constraints to the spherically symmetric model of Hoogzaad et al. (2002). For each grain material the absorption and scattering efficiencies are calculated for the size distribution using Mie theory. We have used the BHMIE (bare grains) and BHCOAT (coated grains) programs (Bohren & Huffman 1983) to do this. Once the grain model is fixed, then T d at each point in the shell is determined by the stellar temperature, T ∗ , the stellar SED and the ratio of the inner shell radius r 1 to the stellar radius r ∗ . 4.2 Fitting the SED A two-stage approach to determining the best model fit was adopted. First we found the best fit to the observed SED and then the resulting 2D model was used to find the best fit to our OSCIR imaging observations. This approach was successful since the parameters used to tune the fit to the images (θ , , γ ) have only a small effect on the SED. The fit to the 10–20 µm region of the SED depends strongly on the dust temperature, which is determined mainly by the ratio of the stellar radius to the inner shell radius, r ∗ /r 1 . The ratio of flux in the 11.7- and 20.8-µm OSCIR filters indicates a maximum dust temperature of T d = 120 ± 20 K (Section 3.2). The best fit to the SED was achieved with r ∗ /r 1 = 1.8 × 10−4 , giving dust temperatures of 126, 117 and 77 K at the inner shell boundary for the bare amorphous silicates, water ice-coated silicates and crystalline silicates, respectively. The crystalline silicates are cooler since they absorb less efficiently (than O-rich silicates) in the UV–optical region, but radiate more efficiently at longer wavelengths. The proportion of water ice-coated grains was determined by the need to fit the 43- and 60-µm water ice emission features and the 3-µm absorption feature. We found that including more than 40 per cent by number of water ice-coated grains resulted in a 3-µm absorption feature that was too deep (such a feature is not evident in the ISO spectrum). Conversely we find that less than 40 per cent of coated grains in the mixture results in a 60-µm feature that is too weak. The strength of the water ice features also depends directly on the coating thickness. We find that if f 1.3 then the 43- and 60-µm features can be fitted reasonably well, but the 3-µm absorption feature is too strong. A mixture with 40 per cent by number of grains with an ice coating given by f = 1.2 is the best compromise. The modelled fit to the 43-µm feature appears broader than the data (in part due to insufficient resolution in our wavelength grid) and may indicate that a more sophisticated dust model is required with, for example, different grain size distributions in the inner and outer envelope. A proportion of crystalline silicate grains are included in the grain mixture. The wavelength grid used in our RT calculation is too coarse to sample and fit the crystalline silicate emission features seen in the ISO spectrum. However, the fit to the 10-µm amorphous silicate feature places an upper limit of 40 per cent by number of amorphous grains in the mixture; including a higher proportion of amorphous silicates results in a 10-µm bump that is too strong. We therefore conclude that the remaining 20 per cent of grains are crystalline silicate. The grain size distribution and dust density are constrained by the need to fit simultaneously the UV/optical/near-IR region of the SED and the mid-IR flux peak between 20 and 60 µm. The height of the mid-IR peak depends strongly on the total amount of dust in the shell and hence on the optical extinction (AV ). Increasing AV results in more mid-IR flux but also increased extinction in the UV/optical region. We found that only a very limited range of grain size parameters and extinctions could satisfy both requirements. In particular, the fit to the UV/optical region required a large population of small (∼0.01 µm) grains and a steep size distribution power-law index (q = −6.0). Such a steep power-law index means that the upper grain size limit is only poorly constrained, and so we have assumed a max = 2 µm. With this small grain model, we found that the best fit to the UV emission was obtained by assuming a Kurucz profile for the stellar spectrum with an effective temperature of T eff = 7500 K and log(g) = 0.5. Although this gives a good fit to the UV section of the SED, too much flux is produced in the visible by the model, suggesting that the Kurucz approximation may not be appropriate in this region. We have assumed a value of α = 2.0, corresponding to constant mass loss, since our observations do not constrain this parameter particularly well. The outer dimension of the shell, r 2 , influences the shape of the SED in the far-IR region (longward of 60 µm). Increasing r 2 results in a larger proportion of cooler dust and more far-IR emission. The need to fit the 850-µm SCUBA flux point leads to r 1 /r 2 = 0.08. The final fit to the SED is shown in Fig. 4, with the model parameters given in Table 2. 4.3 Fitting the OSCIR images In Fig. 5 we show model images at a wavelength of 11.7 µm, for comparison with the OSCIR 11.7-µm image. The model images have an equivalent pixel scale to the OSCIR data and have been smoothed to simulate the 0.5-arcsec seeing of the observations. The C 2003 RAS, MNRAS 343, 880–890 Mid-IR imaging of post-AGB star HD 161796 Figure 4. The final model fit to the spectrum of HD 161796 from UV to sub-mm (solid line). The squares are IUE data and the thick solid spectrum is SWS and LWS ISO data (Hoogzaad et al. 2002). Asterisks represent the optical and near-IR flux points (Fernie & Garrison 1984) and the triangle is the 850-µm flux (Gledhill et al. 2002). The open circles are fluxes from our OSCIR measurements. The model parameters are given in Table 2. Table 2. Parameter values for the best-fitting model and derived parameters assuming a distance of 1.2 kpc to HD 161796. Numbers in brackets are powers of 10. Parameter Value Model parameters 1.8 (−4) r ∗ /r 1 r 1 /r 2 8.0 (−2) α 2.0 5.0 γ 3.0 θ (deg) 10 AV (mag) 1.2 7500 K T eff Dust parameters Bare Sil 0.4 Coated Sil 0.4 f 1.2 Cryst. Sil 0.2 a min (µm) 0.01 2 a max (µm) q −6.0 Derived parameters r 1 (cm) 1.35 (16) 1.68 (17) r 2 (cm) 1.52 (−4) n 1 (cm−3 ) M d (M ) 2.96 (−3) 35 r ∗ (R ) L (L ) 3.44 (3) Description Ratio of stellar to inner shell radius Ratio of inner to outer shell radius Radial density fall-off (assumed) Equator-to-pole density contrast Equatorial density enhancement Inclination angle Equatorial extinction Effective stellar temperature Number fraction Number fraction Ice mantle thickness parameter Number fraction Minimum grain radius Maximum grain radius (assumed) Grain size power-law index Inner shell radius Outer shell radius Grain number density at r 1 Mass of dust in shell Stellar radius Stellar luminosity polar axis of the shell has been rotated in the plane of the sky to PA 30◦ to match the orientation of the dust shell of HD 161796. Four values of the inclination angle, θ , are shown: θ = 0 is ‘edge-on’ with the polar axis in the plane of the sky, whereas θ = 30 has the polar C 2003 RAS, MNRAS 343, 880–890 885 axis tilted out of the plane of the sky by 30◦ , with the NE quadrant pointing towards us. As the model is tilted out of the plane of the sky (increasing θ ), the peaks move so that the line joining them no longer passes through the star, but to the SW of it. At the same time, the trough between the peaks to the SW becomes shallower. Both of these effects are seen in the data and can be used to determine accurately the tilt of the dust shell as well as the density contrast, (1 + ), between the equatorial and polar regions. To determine the best values for the tilt and density contrast, we calculate azimuthal profiles through the model images, for comparison with the azimuthal profile through the 11.7-µm OSCIR image (Fig. 2). The results are shown in Fig. 6 for = 5 and four values of the inclination angle, θ. The profiles show clearly how the peaks move closer together with increasing inclination angle and how the troughs between the peaks become progressively asymmetric. In particular, the trough closest to the two peaks gradually fills in. Increasing/decreasing the value of has the effect of increasing/decreasing the maximum ratio of peak to trough. Increasing the inclination, θ, causes the peaks to move closer together and the troughs to become more asymmetric. The best fit to the OSCIR image is achieved for θ = 10◦ and = 5. In the OSCIR images, the SE peak is brighter than the NW peak by a factor of 1.3. The model fits indicate that this increased brightness is an excess over that expected for the best-fitting model, and is most likely due to an increase in dust density in the SE peak over and above that produced by an axisymmetric model. In Fig. 7 we show model images at wavelengths of 7.9, 9.8, 11.7 and 20.0 µm, using the inclination of θ = 10◦ determined above, for comparison with the OSCIR images in Fig. 1. At 7.9 µm, the star is visible as a central peak, with the shell seen faintly to either side, as in the OSCIR images. At wavelengths longer than 9 µm the circumstellar emission dominates and the equatorial density enhancement produces two arcs of emission, one on either side of the star, which is no longer visible as a separate peak. The asymmetry caused by the tilt of the shell, with the emission peaks lying along a line that passes to the SW of the star (detailed above), is particularly evident in the 9.8-µm image, becoming less evident at longer wavelengths. This confirms that these asymmetries, evident for a tilted shell, are optical depth effects. For a completely optically thin shell, no such asymmetry with tilt should be observed. For the small grain model we have used, the optical depth at 11.6 µm is still ∼0.5. The 20-µm model image appears more extended, as is the case in the OSCIR images, due to the contribution from cooler dust further from the star. The contour levels in the model images have been chosen to represent the same fractional peak brightness as those in the data. 5 DISCUSSION 5.1 Dust grain sizes Fitting to the optical portion of the SED fixes the value of AV through the envelope. This then places constraints on the range of grain sizes that can produce the mid-IR flux peak. In particular, the grain model must have the correct balance between extinction efficiencies in the optical and mid-IR. For silicate grains, the ratio of extinction efficiency, Q ext , at 20 and 0.55 µm increases with decreasing grain size so that small grains are more capable of producing large mid-IR flux for a given optical extinction. Specifically, we find that a min = 0.01 and q = −6 produces the best fit to the optical and mid-IR parts of the SED, with an equatorial extinction of AV = 1.2. 886 T. M. Gledhill and J. A. Yates θ=0 θ= 10 θ = 20 θ = 30 Figure 5. Model images at 11.7 µm and four inclination angles. The images have been smoothed and rotated to match the OSCIR 11.7-µm image shown in Fig. 1. The contour levels are at the same fractional brightness of the NW peak as those in Fig. 1. θ = 30 θ = 20 θ = 10 θ=0 Figure 6. Azimuthal profiles through the 11.7-µm model images shown in Fig. 5 (dashed lines) and the 11.7-µm OSCIR image in Fig. 2 (solid line). This compares with AV = 1.4 obtained by Meixner et al. (2002). If larger grains are used, then for AV = 1.2 too little mid-IR flux is produced. Increasing the value of AV to compensate produces too much extinction in the UV/optical part of the SED. This emphasizes the importance of considering the UV/optical part of the SED when determining the best grain size parameters. In addition, careful consideration should be given to the stellar spectrum. Using a blackbody approximation will result in too much input stellar UV flux, compared with that expected for an F-type supergiant spectrum, so that any fit to the UV/optical part of the SED will be affected. Both Hoogzaad et al. (2002) and Meixner et al. (2002) used larger grains in their RT models of HD 161796, choosing q = −3.5 and a min = 0.18 and 0.2 µm, respectively. Meixner et al. (2002) used a T eff = 7000 K blackbody source so that their model includes too much UV flux. The model of Hoogzaad et al. (2002) is spherically symmetric, which may account for some differences between their fit and ours, but they do fit to the UV data. However, they find that their model predicts a colour excess of only E(B − V ) = 0.06 and invoke the existence of an additional component of interstellar extinction to fit the observed E(B − V ) = 0.19 (assuming their value for T eff = 6750 K). For a standard value of the ratio of selective to total extinction, R = 3.1, the additional colour excess implies an interstellar extinction of AV = 0.4. However, extinction estimates for three stars within 5◦ of HD 161796 indicate <0.13 mag of interstellar extinction (Neckel, Klare & Sarcander 1980). An alternative explanation is that smaller grains are required, since the differential extinction between B and V is larger for small grains (0.01 µm cf. 0.1 µm). The small grain model used in this paper produces a good fit to the SED from UV through to submillimetre wavelengths with no additional component of extinction. However, the most compelling argument for the existence of small grains is provided by the observed high degrees of near-IR linear polarization. Imaging polarimetry in the J and K bands (Gledhill et al. 2001) indicates up to 20 per cent polarization in the envelope, even without correction for the unpolarized flux from the PSF of C 2003 RAS, MNRAS 343, 880–890 Mid-IR imaging of post-AGB star HD 161796 7.9 um 9.8 um 11.7 um 20.0 um 887 Figure 7. Model images at the four OSCIR wavelengths using the parameters given in Table 2 and an inclination angle of θ = 10◦ . The images have been smoothed and rotated to match the OSCIR data shown in Fig. 1. The contours levels are at the same fractional brightness of the NW peak as those in Fig. 1. the central star. A similar degree of uncorrected polarization was observed in the envelope around HD 179821, which, when corrected for the diluting effects of the overlying stellar PSF, resulted in an intrinsic envelope polarization of ∼40 per cent (Gledhill & Takami 2001). In order to produce 40 per cent polarization by scattering in a 3D geometry such as a shell, the grain model has to be capable of a maximum polarization of between 60 and 80 per cent. To produce this amount of linear polarization in the near-IR, the grains must have radii a < 0.2 µm (see fig. 7 of Gledhill & Takami 2001). A silicate grain model with q = −3.5 produces very little polarization in the near-IR since too many grains with a > 0.2 µm are included, which dominate the scattered light even for small a min (0.01). A steep power-law index (q = −6) ensures that only small grains contribute, resulting in large degrees of near-IR polarization. Linear polarization as a function of scattering angle is shown in Fig. 8 for grains with a min = 0.01 and 0.1 µm and q = −6 and −3.5. The dust grain model used is, therefore, consistent with near-IR (scattered light) polarimetry observations and can produce the observed degrees of linear polarization. In addition, scattering within the detached CSE model will give rise to the observed nebula structure at optical and near-IR wavelengths (Ueta et al. 2000; Gledhill et al. 2001), producing a centrally brightened nebula in total flux and a limb-brightened shell structure in polarized flux. This was demonstrated for the similar case of a detached CSE around the star HD 179821, where a dust grain size distribution with a steep power-law fall-off (q = −6) was also required (Gledhill & Takami 2001). We note, however, that our envelope model will not give rise to the observed elongation along PA 5◦ seen in both the optical and near-IR images, and which may be due to a prolate elliptical shell of dust (which is not included in our model). C 2003 RAS, MNRAS 343, 880–890 Figure 8. Linear polarization at 1.2 µm as a function of scattering angle for four grain size distributions. The solid curves have a min = 0.01 and the dashed curves have a min = 0.1. The upper curves have q = −6 and produce high polarization, whereas the lower curves have q = −3.5 and produce little polarization. The double-peaked structure in the q = −3.5 curves results from a sign change in polarization and will result in a further decrease in net polarization for this grain model when a range of scattering angles are summed. 888 T. M. Gledhill and J. A. Yates 5.2 Derived star and shell parameters Hoogzaad et al. (2002) and Skinner et al. (1994) adopt a distance to HD 161796 of 1.2 kpc. Assuming this distance, we can then use the angular separation of the emission peaks in the OSCIR images (1.2 arcsec) to determine the physical parameters of the envelope. The model results show that the emission peaks occur at the inner radius of the shell, r 1 , but after smoothing appear to move inwards slightly. Therefore, the separation of the peaks in the OSCIR images slightly underestimates the true value of r 1 due to the smoothing caused by the telescope PSF. By matching the pixel scale of the observations and then smoothing the model results to account for the PSF, we estimate that the true inner radius is a factor of 1.25 larger than indicated by the OSCIR images, or 0.75 arcsec. The derived parameters are summarized in Table 2. Assuming D = 1.2 Kpc then r 1 = 1.35 × 1016 cm, or 900 au. This lies between the estimates of 586 au (Skinner et al. 1994) and 1400 au (Hoogzaad et al. 2002) but agrees with the ∼900 au obtained by Meixner et al. (2002), who also used an axisymmetric dust model. However, our outer shell radius is larger than that of previous models, since we require r 2 /r 1 ∼ 12 to fit the 850-µm flux point, whereas both Meixner et al. (2002) and Hoogzaad et al. (2002) use r 2 /r 1 < 4. With our derived value for r 2 , the outer boundary of the shell subtends an angle of 15 arcsec at 1.2 kpc. We note that this is larger than the 6.5-arcsec (half-intensity) extent indicated by CO observations (Bujarrabal, Alcolea & Planesas 1992). The model images (Fig. 5) show that, at 11.7 µm, the surface brightness falls below a detectable level beyond an offset of ∼1.2 arcsec from the star, so, even though the shell has a maximum angular extent of 15 arcsec in our model, only the bright 3-arcsec extent region is seen. Likkel et al. (1991) measure an expansion velocity of V exp = 15 Km s−1 from the CO (1–0) profile. Assuming that this value can also be used for the dust velocity within the shell, then our value of r 1 implies that the high mass-loss phase responsible for the shell terminated 285 yr ago, at which point the shell became detached. The age of the shell (out to r 2 ) is 3565 yr. If the dust has decoupled from the gas and is travelling faster than indicated by the CO expansion velocity, then these time-scales will be shorter. Our derived value for the stellar radius, r ∗ = 2.42 × 1012 cm (35 R ), when combined with T eff = 7500 K, fixes the luminosity at L = 3.44 × 103 L . This lies between the values of 3.0 × 103 and 3.6 × 103 L obtained by Hoogzaad et al. (2002) and Skinner et al. (1994), respectively, for D = 1.2 K pc. For the grain and envelope model used (Table 2), the number density of dust grains required to produce an equatorial extinction of AV = 1.2 is n 1 = 1.52 × 10−4 cm−3 , giving a dust mass in the shell of M d = 2.96 × 10−3 M (assuming a bulk density of 3 g cm−3 for silicates and 1 g cm−3 for water ice). This is greater than the M d = 1.7 × 10−3 M obtained by Hoogzaad et al. (2002), which can be accounted for by our larger (factor of 3) estimate for r 2 . The dust masses obtained from fits to the full SED are considerably greater than mass estimates obtained from the far-IR flux. Gledhill, Bains & Yates (2002) obtained M d = 4.4 × 10−4 M from the 850-µm flux, which is in agreement with the M d = 3.2 × 10−4 M estimated from the 60-µm flux (Likkel et al. 1991). For the small grain model used here, the opacity at 850 µm is χ 850 = 0.54 cm2 g−1 , which is three times smaller than the value estimated by Gledhill et al. (2001) on the basis of an approximate grain model. This accounts for a factor of 3 difference in the dust mass estimate. The remainder may be due to the approximate nature of the submillimetre flux estimate (an isothermal assumption) as opposed to the exact RT calculation obtained in this paper. A gas-to-dust mass ratio of 240 has been derived for HD 161796 (Hoogzaad et al. 2002), giving a total envelope mass of 0.71 M . This is in agreement with the CO mass estimate of 0.68 M (Bujarrabal et al. 2001), especially given the uncertainty in the gasto-dust mass ratio. Taking V exp = 15 Km s−1 , the mass-loss episode responsible for the shell lasted 3280 yr, which corresponds to an average mass-loss rate of 2.2 × 10−4 M yr−1 . 5.3 Evolution The actual mass lost from the star will be greater than we have calculated, since significant mass loss will have been occurring for a longer duration than the estimated ∼3000 yr lifetime of the detectable envelope. However, the simulations of Steffen et al. (1998) show that the mass-loss rate, Ṁ, rises almost linearly over the ∼104 yr prior to envelope detachment, so it is the last stages of mass loss that contribute most to the envelope mass. In the post-AGB phase this leads to a steeper density law, at radii beyond ∼1017 cm, than the r −2 law expected for constant mass-loss rate. This break in the density law could be taken to delineate the ‘superwind shell’ produced in the final mass-loss phase, and it is the mass of this shell that we have estimated. Our RT models reproduce the abrupt fall-off in surface brightness beyond the central 1-arcsec radius bright shell, using an r −2 density law, suggesting approximately constant massloss rate just before envelope detachment. This is also in agreement with the Steffen et al. (1998) model (their fig. 19) where Ṁ peaks at ∼10−4 M yr−1 , giving a constant mass-loss rate for ∼500 yr, before declining rapidly. Using the post-AGB mass–luminosity relation of Vassiliadis & Wood (1994), which they define from their simulations, gives a core mass M c = 0.56 M for our value of log (L) = 3.54. This would be consistent with an initial mass in the range 1–2 M , depending on the mass-loss history on the AGB (Blöcker 1995). This core mass is very close to the lower limit for the mass of a central star of a planetary nebula (PN), M c = 0.55 M , below which evolution to high temperature takes longer than a PN lifetime (Schönberner 1983). However, the evolutionary rate along the constant-luminosity track is very sensitive to core mass, with the Schönberner (1983) M c = 0.565 M model evolving to T eff = 3 × 104 K in about 5 × 103 yr. By that time, the inner radius of the dust shell will have moved out to >1017 cm, so that HD 161796 may become the central star of a large extended PN. The decline in mass-loss rate and the subsequent post-AGB evolution are expected to lead to the gradual disappearance of features such as maser emission from the CSE. Likkel (1989) detected OH maser emission at 1667 MHz with a velocity of −26 Km s−1 , suggesting that it originated from the redshifted side of the shell. More recent (1999) measurements with the MERLIN interferometer have failed to detect this emission (Bains et al. 2003), indicating that the OH masers may, indeed, have turned off at some point in the last 10 yr. 5.4 Deviations from axisymmetry The tilted axisymmetric model reproduces most of the observed mid-IR structure of the dust shell around HD 161796, including the position and shape of the flux peaks, but cannot reproduce nonaxisymmetric features, such as the difference in brightness between the two peaks. In this respect, HD 161796 is remarkably similar to the post-AGB carbon star HD 56126 (IRAS 07134+1005), which C 2003 RAS, MNRAS 343, 880–890 Mid-IR imaging of post-AGB star HD 161796 also has a dust shell with one peak brighter than the other (Jura, Chen & Werner 2000). Similar asymmetric brightness structure, although less pronounced, is also seen in mid-IR images of the young PN, IRAS 21282+5050 (Meixner et al. 1993). One possible explanation for the brightness asymmetry in these objects is that the brighter peak is closer to the star than the fainter one, and therefore hotter. Jura et al. (2000) suggest that this is possible if the post-AGB star is in a wide binary and, therefore, not central within the dust shell. However, the temperature image shown in Fig. 2 indicates that both peaks have the same dust temperature to within 5 K, so that, in the case of HD 161796 at least, the brighter peak must have more dust. Dayal et al. (1998) also reproduce the brightness asymmetry in HD 56126 using a simple cylindrical model with 30 per cent more dust in one half of the cylinder. The question then is how to generate a non-axisymmetric dust distribution. The usual interpretation of the axisymmetric dust shell model (e.g. Dayal et al. 1998; Meixner et al. 1997, 2002; this paper) is that mass loss from the stellar equator is enhanced relative to that from the poles, so that the polar axis lies perpendicular to the line joining the peaks in the mid-IR image. Jura et al. (2000) suggest an alternative explanation in which the peaks result from a polar outflow that persists for 500 yr after the equatorial flow has abated, so that the polar axis is now along the line joining the mid-IR peaks. If the outflow from one pole is greater than from the other, then an asymmetric dust density could result. In this scheme, the elongated elliptical nebula seen in the optical and near-IR images (Ueta et al. 2000; Gledhill et al. 2001) and in longer-wavelength mid-IR images (e.g. the Q3 band image of Fig. 1) results from the equatorial flow. One difference between these two models is that in the Jura et al. (2000) model the elliptical shell will be oblate, whereas in the ‘conventional’ interpretation it is prolate. Imaging polarimetry results for HD 161796 (Gledhill et al. 2001) show that the degree of polarization is higher along PA 5◦ than along the orthogonal direction. The simplest explanation for this is that scattering is occurring in a prolate geometry, where scattering angles at the poles (PA 5◦ ) are more confined than those at the equator. In the case of HD 161796 this then favours an interpretation in which an equatorial density enhancement is responsible for the mid-IR peaks, but does not explain why one peak is brighter than the other. Meixner et al. (2002) use a density distribution incorporating an elliptical ‘mid-shell’ to simulate the optical images of HD 161796. As already mentioned, this elliptical nebula is also seen in the Q3 band images (Fig. 1) and so must represent a dust density enhancement along PA 5◦ . However, it is not clear how this elliptical midshell would arise in conjunction with the inner, orthogonal, equatorial dust enhancement (responsible for the mid-IR peaks) unless there were both polar and equatorial flows during the final stages of AGB mass loss. However, magnetohydrodynamic (MHD) simulations of the η Car nebula suggest that in some cases such simultaneous outflows are possible (Matt & Balick 2002). An alternative explanation is that the extension along PA 5◦ is due to a faster wind operating after the star has left the AGB, and after the massloss phase responsible for the equatorial density enhancement has ceased. With a current stellar radius of 35 R and mass 0.56 M , the escape velocity is now V esc = 78 Km s−1 . The relationship derived by Vassiliadis & Wood (1994) suggests that the wind velocity V w ∼ V esc for M c = 0.6 M and log(T eff ) = 3.88. There is evidence for a faster wind component in the broadened wings of the CO profile (Likkel et al. 1991), which extend 25 km s−1 from line centre, and Bujarrabal et al. (2001) estimate that the fast flow may account for ∼15 per cent of the envelope mass. The interaction of this faster wind with the dense, slower, equatorially enhanced AGB wind is exactly the scenario described by the generalized interacting stellar C 2003 RAS, MNRAS 343, 880–890 889 winds (GISW) model (e.g. Kahn & West 1985; Mellema & Frank 1995) developed to explain the bipolar morphologies of PNe. The faster and more tenuous wind ( Ṁ ∼ 10−7 M yr−1 at this stage) would be deflected by the equatorially concentrated AGB shell and blow mainly along the polar direction, extending the inner dust shell in this direction. Several mechanisms for the formation of equator-to-pole density contrasts involve binary companions that can either spin-up the mass-losing star to create an axisymmetric wind or interact tidally with the spherical AGB wind (see Frank 1999, for a review). In simulations of the interaction of a detached binary with an AGB wind, Mastrodemos & Morris (1999) create envelope geometries ranging from mildly aspherical to highly bipolar. Their intermediate ‘elliptical’ geometry, with a typical density contrast of between 5 and 7, corresponds closely with our envelope model for HD 161796 (factor of 6 density enhancement). Interaction of a post-AGB wind with this envelope will lead to a prolate shell, as observed. We have already mentioned a twist in axis between the inner and outer regions of the dust shell around HD 161796 (Section 3.1), which is particularly apparent in the Q3 band image (Fig. 1). A curving polar axis is perhaps not surprising if the AGB torus is irregular, with more dust to the SE of the star than to the NW, as suggested. Alternatively, the post-AGB wind could in itself be asymmetric and precessing, if it originates from magnetic cool spots for example (Soker 1998). It remains to be seen whether binary models can produce the sort of non-axisymmetric structure that we see in HD 161796 and in other similar objects such as HD 56126 and IRAS 21282+5050. 6 CONCLUSIONS Resolved images of the mid-IR thermal emission from the dust shell around the post-AGB star HD 161796 are presented that clearly show the inner boundary of a detached CSE (radius 0.6 arcsec). A basic axisymmetric structure is revealed with a pair of bright peaks seen on either side of the star. However, deviations from axisymmetry are evident, with the SE peak being ∼1.3 times brighter than the NW peak along with a gradual twist in the symmetry axis between the central region and the fainter outer halo visible in the longer-wavelength 20-µm image. We model the mid-IR images, along with the SED from UV to submillimetre wavelengths, using an axisymmetric radiation transport (RT) code. We find that the SED is best-fitted using a small grain model, with minimum grain size 0.01µm and a steep (∝a −6 ) power-law size index. Support for small grains is also provided by previous imaging polarimetry observations, which indicate up to 40 per cent linear polarization in the shell. The models reproduce all of the axisymmetric features seen in the images, in particular the detailed appearance and location of the mid-IR flux peaks. We find that the strength and position of these peaks (relative to the star) places strong constraints on the equator-to-pole density contrast (6 : 1) and on the inclination of the symmetry axis to the plane of the sky (10◦ ). By assuming a distance of 1.2 kpc to HD 161796, we determine the physical parameters of the star and envelope. The derived luminosity of 3.44 × 103 L indicates a current stellar mass of 0.56 M . The results are consistent with a star of initial mass between 1 and 2 M that lost ∼0.7 M at the end of the AGB and is now a few hundred years into its post-AGB evolution. Given the low core mass, it is likely that HD 161796 will take about 5000 yr to evolve to a temperature of ∼30 000 K, by which time it will 890 T. M. Gledhill and J. A. Yates be the central star of an extended (>15 arcse diameter) and mildly asymmetric PN. We suggest that the equatorial density enhancement is most likely due to tidal interaction between the AGB wind from HD 161796 and a detached binary. In addition, the elliptical shell extended along PA 5◦ may result from the interaction of a faster, post-AGB wind with the AGB shell. The object may then be in the early stages of an interacting stellar winds phase in which the appearance of a future PN is being shaped. AC K N OW L E D G M E N T S We thank the staff of the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a cooperative agreement with the NSF on behalf of the Gemini Partnership. Observations were made with the mid-infrared camera OSCIR, developed by the University of Florida with support from NASA. We especially thank the OSCIR support team, and in particular Scott Fischer, for their expert help with the observations and subsequent advice on data reduction. 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