Free Access
Issue
A&A
Volume 586, February 2016
Article Number L1
Number of page(s) 5
Section Letters
DOI https://doi.org/10.1051/0004-6361/201527620
Published online 19 January 2016

© ESO, 2016

1. Introduction

Although dust is the main agent to control the protoplanetary disk temperature (Chiang & Goldreich 1997), our knowledge of dust temperatures essentially relies on modeling of disk images and SED (e.g., D’Alessio et al. 2001). Despite (or even because of) their sophistication, these models suffer from many uncertainties because of the large number of assumed properties: radial distribution, dust grain growth, dust settling, composition and porosity, disk flaring geometry, etc. The model temperatures are mostly constrained by the near-IR part of the SED, which comes from the optically thick region within 10 au from the star, and dust temperatures in the disk midplane only rely on the strong extrapolation that the model provides radially and vertically. Gas temperatures can provide a proxy for the dust temperature, but because molecules become heavily depleted on grains at (dust) temperatures below 15 K, this method only samples the lukewarm region 1 to 2 scale heights above the disk plane.

We present a completely different method for a direct measurement of the dust temperature. The method relies on seeing a disk in silhouette against a bright background. Edge-on disks are the best targets for this because their larger line-of-sight opacity maximizes the expected signal.

The Flying Saucer (2MASS J16281370-2431391) is an isolated, edge-on disk in the outskirts of the ρ Oph clouds (Grosso et al. 2003) with evidence for large dust grains (Pontoppidan et al. 2007). Grosso et al. (2003) resolved the light scattered by (micron) dust grains in near-infrared with the NTT and the VLT and estimated a disk radius of 2.15′′, which is about 260 au for the adopted distance of 120 pc (Loinard et al. 2008). The detection of the CN N = 2−1 line (Reboussin et al. 2015) confirms the existence of a large gas disk. The ρ Oph region is crowded with molecular clouds that are brightly emitting in CO lines. However, the low extinction derived by Grosso et al. (2003) toward the Flying Saucer suggests it lies in front of these clouds, providing an ideal geometry for our purpose. We thus observed the Flying Saucer at high angular resolution in CO J = 2−1 with the Atacama Large Millimeter Array (ALMA) and the molecular clouds with the IRAM 30-m telescope.

2. Observations

IRAM 30-m

We obtained a CO J = 2−1 spectrum of the Flying Saucer with the IRAM 30-m to measure the brightness of the (foreground or background) emission. Pointing was performed on Saturn, which was a few degrees above the Flying Saucer at the time of the observations. The weather was relatively windy, which combined with the low declination of the Flying Saucer, resulted in some anomalous refraction on angular scales of a few arcsec.

At 230 GHz, the beamsize is 10.7′′ and the beam efficiency is 0.60, while the forward efficiency is 0.92. The conversion from TA\hbox{$T_A^*$} to Jy is thus 7.6 Jy/K. The pointing issues mentioned above broaden the effective beamsize, but should not significantly affect the conversion from the antenna temperature scale to sky brightness temperature because we are interested in sources extended compared to the 30-m beam size. We first performed an on-off measurement, using a reference position at (1998′′,846′′), in a region of low emission selected with the FCRAO CO J = 1−0 wide field survey1. The reference position was observed in frequency switching and the spectrum was added back to the on-off result, providing excellent agreement with a frequency switch spectrum on the Flying Saucer. The final 30-m spectrum (Fig. 1) can be decomposed in four Gaussian profiles of typical line width around 1 km s-1.

thumbnail Fig. 1

CO J = 2−1 spectrum toward the Flying Saucer in a 11′′ beam (black). A decomposition in four Gaussians is overlaid. The blue line is the integrated disk spectrum derived from the ALMA observations (shifted for clarity). The negative feature at 12 km s-1 is tropospheric CO. The right axis scale is the brightness temperature.

thumbnail Fig. 2

Channel maps of the 12CO J = 2−1 line emission toward the Flying Saucer. Contours are in step of 8 mJy/beam (0.76 K); negative contours are red. Velocities are indicated in each panel. The cross indicates the position and orientation of the dust disk.

ALMA

The high angular resolution observations of CO J = 2−1 were performed with ALMA on 17 and 18 May 2015 under excellent weather (Cycle 2, 2013.1.00387.S). The correlator was configured to deliver very high spectral resolution with a channel spacing of 15 kHz (and an effective velocity resolution of 40 m/s). Data was calibrated via the standard ALMA calibration script in the CASA software package. Titan was used as a flux calibrator. The calibrated data was regridded in velocity to the LSR frame and exported through UVFITS format to the GILDAS package for imaging and data analysis. No self-calibration was performed. With robust weighting, the uv coverage provided by the ~34 antennas yields a circular beamsize of 0.5′′.

Figure 2 present channel maps of the CO J = 2−1 emission. An enlarged version of the central channels is presented in Fig. 3. In Fig. 4, we show the dust continuum emission, the integrated CO map, the integrated CO J = 2−1 spectrum, and a position-velocity diagram through the disk plane. The total continuum flux is 35 mJy at 242 GHz (with 5% calibration uncertainty).

3. Results and analysis

The dust disk clearly extends out to about 180 au, while the gas disks spreads to 300 au. The CO data is highly contaminated by emission from molecular clouds, which results in a complex integrated spectrum over the whole disk (Fig. 4d). At velocities around ~1.8 km s-1 and in the range 6−7 km s-1, the filamentary structure of these clouds appears clearly (see Fig. 2).

Around an LSR velocity of 5 km s-1, CO in the western part shows the pattern expected from Keplerian rotation, and clearly reveals that CO originates from the upper layers of the disk contrary to the mm-emitting dust that has settled toward the midplane. In the eastern part, however, CO shows absorption against apparently nothing (see Fig. 3). This is a result of interferometric filtering of extended emission from these molecular clouds. The results depend on whether the cloud is in the foreground (see Gueth et al. 1997, their Fig. 7) or background. In the first case, the dust disk can be hidden by optically thick CO from the cloud, leading to null visibilities if that cloud is sufficiently spatially extended (>7.6′′ with our shortest baselines of 21 m).

However, in Figs. 2, 3, the signal goes to negative values, requiring a different explanation. A smooth extended CO emission is filtered out by the interferometer whatever its opacity, leading to a null brightness. A continuum dust source located in front of the CO cloud absorbs this CO emission if the dust temperature is below that of the background CO cloud. The resulting brightness at the CO velocity toward the dust disk is then smaller than around it, reaching negative values since the background extended emission is filtered out by the interferometer.

At frequencies away from that of the CO line, the apparent dust brightness in a synthesized beam is Td=f(1exp(τ))(Jν(Tdust)Jν(Tbg)),\begin{equation} T_{\rm d} = f (1-\exp(-\tau)) (J_\nu(T_\mathrm{dust}) - J_\nu(T_{\rm bg})) , \end{equation}(1)where τ is the opacity; f the beam filling factor; and Jν, the radiation temperature, is the Planck function multiplied by c2/ 2kν2, Jν(T)=k1exp(/(kT))1,\begin{equation} J_\nu(T) = \frac{h \nu}{k} \frac{1}{\exp(h\nu/(kT))-1} , \end{equation}(2)and Tbg is the cosmological background, Jν(Tbg) = 0.19 K at 230 GHz. At velocity v, the CO cloud has a brightness Tc(v)=(1exp(τc(v)))(Jν(Tcloud)Jν(Tbg)).\begin{equation} T_{\rm c}({v}) = (1-\exp(-\tau_{\rm c}({v}))) (J_\nu(T_\mathrm{cloud}) - J_\nu(T_{\rm bg})) . \end{equation}(3)Thus, at velocity v, the brightness of the dust disk becomes Tl(v)=f(1exp(τ))(Jν(Tdust)Tc(v)).\begin{equation} T_l({v}) = f (1-\exp(-\tau)) (J_\nu(T_\mathrm{dust}) - T_{\rm c}({v})) . \end{equation}(4)Subtracting Td and Tl yields the opacity and beam filling factor product f(1exp(τ))=TdTl(v)Tc(v)Jν(Tbg)\begin{equation} f (1-\exp(-\tau)) = \frac{T_{\rm d} - T_l({v})}{ T_{\rm c}({v}) - J_\nu(T_\mathrm{bg})} \label{eq:fill} \end{equation}(5)from which we derive Jν(Tdust)=Td(Tc(v)Jν(Tbg))TdTl(v)+Jν(Tbg),\begin{equation} J_\nu(T_\mathrm{dust}) = \frac{T_{\rm d} (T_{\rm c}({v}) - J_\nu(T_\mathrm{bg})) }{ T_{\rm d} - T_l({v}) } + J_\nu(T_{\rm bg}) \label{eq:tdust} , \end{equation}(6)which, as Jν(Tbg) is small, is about Jν(Tdust)TdTdTl(v)Tc(v).\begin{equation} J_\nu(T_\mathrm{dust}) \approx \frac{T_{\rm d}}{ T_{\rm d} - T_l({v}) } T_{\rm c}({v}) \label{eq:tprop} . \end{equation}(7)

thumbnail Fig. 3

Channel maps of the 12CO J = 2−1 line emission toward the Flying Saucer. Contours are in steps of 4 mJy/beam (0.38 K, approximately 2.7σ) up to 28 mJy/beam, and 8 mJy/beam above; negative contours are red. The apparent absorption peaks at six contour levels in the east, and five in the West.

thumbnail Fig. 4

a) Continuum emission at 230 GHz; contour spacing is 0.4 mJy/beam. b) Integrated CO line flux; contour spacing is 20 mJy/beam km s-1. c) Position-velocity diagram across the disk plane; contour spacing as in Fig. 3. The blue curve is the Keplerian velocity for a 0.57 M star. d) Integrated CO spectrum over the disk. Images have been rotated by clockwise to align the disk along the x-axis.

From Fig. 4, Td is typically 0.4 K, while Tl(v) is ~− 2.0 K around 4 km s-1 and ~− 1.5 K at 2.8 and 56 km s-1. Using Tc(v) from Fig. 1, 8 to 17 K, we thus derive (average) dust temperatures as low as 5 to 8 K. From Eq. (5), the filling factor f is at least 0.2, which for a beam size of 0.5′′ (60 au) indicates a minimum FWHM of the dust disk of 13 au along the minor axis. Given the FWHM of ~200 au along the major axis, the aspect ratio is consistent with an inclination ~87°, or implies a minimal 1 /e scale height of 8 au if the disk is purely edge-on. Also, the dust opacity at 230 GHz must be >0.2 and is most likely substantially higher.

thumbnail Fig. 5

a) Dust temperatures derived as a function of position (impact parameter in au) and velocity. b) Map of the dust temperature, taken as the mean of all valid values derived for different velocities. The typical error on the mean is 1 K. c) Cut along the disk plane and comparison between the local temperature and the line-of-sight average (in red).

Equation (6) can be applied for each pixel and velocity channel, allowing us to derive a datacube of dust temperatures. As the dust disk is unresolved vertically, we show these temperatures as a function of velocity along the disk axis in Fig. 5a, revealing the consistency of the derived values. Residual structures in the CO clouds probably perturb the measurement at LSR velocities around 5.6 km s-1and at the extreme velocities where the clouds become optically thin and unveil their spatial column density variations. Yet, the derived values are remarkably consistent. Averaging the datacube over the whole velocity range produces the dust temperature map of Fig. 5b. A small radial gradient is visible, but the inner regions (<40 au) may be biased because of residual emission from the (warm) CO disk itself. The derived temperature is an average along the line of sight, sampling radii between the impact parameter and the disk radius of about 190 au. This effect is estimated in Fig. 5c, assuming a uniform surface density in the disk. It shows the measured values are consistent with T(r) = 7 K (r/ 100 au)-0.4. This absorption derived temperature only relies on the absolute calibration of the 30-m spectra (the ALMA calibration factor cancels out in Eq. (7)), which we estimate accurate to 10%.

If the cloud has significant structure on scales 710′′, the local brightness Tc(v) toward the Flying Saucer can be higher (but also equally likely lower). The maximum expected brightness can be estimated assuming the cloud is the maximum size not sampled in our interferometric maps, 7.6′′, and computing the filling factor in the 10.7′′ beam of the 30-m telescope. This would increase Tc(v) by a factor 1.9. However, because of the nonlinearity of Eq. (6), the dust temperature law would then become T(r) = 10 K (r/ 100 au)-0.5. Also, this is a maximally biased correction since it assumes that the all four different clouds (corresponding to the four Gaussian lines in Fig. 1) have their brightness maximum in the direction of the Flying Saucer.

Table 1

Dust disk modeling results.

We analyzed the 242 GHz continuum with a simple disk model that is vertically isothermal, using truncated power laws for temperature and surface density and no dust settling (tapered edge viscous profiles yielded a poorer fit). We assumed T = T0(r/ 100 au)-0.4, following Guilloteau et al. (2011). We ran an MCMC, using the “emcee” tool of Foreman-Mackey et al. (2013), which implements the affine invariant sampler of Goodman & Weave (2010) with 40 walkers and 5000 steps, retaining only the last 1000 steps for the error analysis. Results are in Table 1. The disk appears closer to edge-on than derived in the NIR analysis of Grosso et al. (2003). The low flaring index and negative p value are the direct signatures of an edge-on settled dust disk fitted by a disk model that does not consider dust settling, as demonstrated by Boehler et al. (2013). The two observing frequencies, 230 GHz and 242 GHz, are insufficiently separated to provide constraints on the spectral index, and leave a strong degeneracy between the dust temperature and surface density, so no reliable value could be found. van Kempen et al. (2009) report a flux of 58 mJy in the 15′′ beam of SCUBA at 850 μm, giving a spectral index of 1.4 between 242 and 345 GHz. This would imply a mean dust temperature of 10 K if the dust disk is optically thick, 7 K if we take the minimum opacity at 230 GHz, 0.2, and a dust emissivity exponent β = 0.8. However, error bars are not specified and the region has extended flux, so these estimates are not very reliable. With standard disk dust properties (from Beckwith et al. 1990, with β = 0.8), the disk H2 surface density is at least 1023 cm-2 at 100 au.

All measurements thus point toward very low dust temperature. More precise values can be obtained by measuring the missing short spacings of the ALMA data, either via the Alma Compact Array or on-the-fly mapping at the 30-m, and by obtaining an accurate SED covering the mm and sub-mm range, as the turnover frequency of the Planck function should be readily visible.

4. Discussion

The very low temperatures are at odds with previous estimates. Direct measurements of mm-emitting dust temperatures are rare. Dutrey et al. (2014) report 14 K at 200 au in GG Tau, using deviations from the Rayleigh-Jeans part of the blackbody between 230 and 690 GHz. However, the GG Tau disk is circumbinary and its thermal structure is special because the puffed-up inner rim of the tidal cavity effectively shades the outer ring. This leads to a steep temperature gradient (almost as 1/r) that is not expected in simpler circumstellar disks. Guilloteau et al. (2011) argue that some of the brighter disks have optically thick cores and used the apparent disk brightness to derive the temperature profile (see their Table 8). The temperatures of 15 to 25 K found for the cores of DG Tau, MWC 480, T Tau, DG Tau B, and HL Tau extrapolate to values around 11 to 19 K at 100 au when the mean exponent of 0.4 is considered. However, all these stars are rather luminous and at least three of them are relatively massive (1.7 to 2 M).

Most disk modeling also predicts rather high temperatures (e.g., Dullemond et al. 2002). Andrews et al. (2013) argue for an average dust disk temperature of Tdust = 25(L/L)(1 / 4) K for disks extending out to 200 au. This is similar to the results found by Isella et al. (2009). In particular, for DM Tau, whose mass is very similar to that of the Flying Saucer, Isella et al. (2009) derived a dust temperature of 20 K at 100 au

To yield lower temperatures than model predicts, either the disk must intercept much less stellar light or the dust must be a more efficient emitter at longer wavelengths than assumed. The J,H,Ks images of the Flying Saucer from Grosso et al. (2003) show direct evidence for a flared disk and require a stellar luminosity of ~0.10 L, which is appropriate for a 0.57 M star, and, hence, the later hypothesis is preferred. Voshchinnikov & Semenov (2000) showed that for grains containing a conducting material (refractory organics, FeS, FeO, etc...), nonspherical grains can be colder than the spherical grains by 2050%. For stochastically grown aggregates made of silicates, Fogel & Leung (1998) have found a similar (but weaker, 1020%) cooling effects.

Another possibility is a difference in temperature between larger grains, which dominate at long wavelengths, and small grains, which dominate the SED in the NIR. If the Planck mean opacity is lower than 1, larger grains are expected to be colder than smaller grains. The difference in temperature can be reduced through thermal accommodation by collisions with the gas, but the efficiency of the process is low at densities below 1010 cm-3.

It is also worth pointing out that the dust emissivity may depend on the temperature (e.g., Boudet et al. 2005; Coupeaud et al. 2011), an effect which may be substantial given the very low values found in this study. Finally, such very low dust temperatures, if applicable to all grain sizes, affect the disk chemistry by reducing the mobility of molecules on grains and halting all surface reactions except hydrogenation by H atoms.


1

COMPLETE team, 2011, FCRAO Ophiuchus 12CO cubes and map, http://hdl.handle.net/10904/10078, Harvard Dataverse, V2.

Acknowledgments

This work was supported by “Programme National de Physique Stellaire” (PNPS from INSU/CNRS.) This research made use of the SIMBAD database, operated at the CDS, Strasbourg, France. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2013.1.00387.S. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada), NSC and ASIAA (Taiwan), and KASI (Republic of Korea) in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO, and NAOJ. This paper is based on observations carried out with the IRAM 30-m telescope. IRAM is supported by INSU/CNRS (France), MPG (Germany), and IGN (Spain).

References

  1. Andrews, S. M., Rosenfeld, K. A., Kraus, A. L., & Wilner, D. J. 2013, ApJ, 771, 129 [NASA ADS] [CrossRef] [Google Scholar]
  2. Beckwith, S. V. W., Sargent, A. I., Chini, R. S., & Guesten, R. 1990, AJ, 99, 924 [NASA ADS] [CrossRef] [Google Scholar]
  3. Boehler, Y., Dutrey, A., Guilloteau, S., & Piétu, V. 2013, MNRAS, 431, 1573 [NASA ADS] [CrossRef] [Google Scholar]
  4. Boudet, N., Mutschke, H., Nayral, C., et al. 2005, ApJ, 633, 272 [NASA ADS] [CrossRef] [Google Scholar]
  5. Chiang, E. I., & Goldreich, P. 1997, ApJ, 490, 368 [NASA ADS] [CrossRef] [Google Scholar]
  6. Coupeaud, A., Demyk, K., Meny, C., et al. 2011, A&A, 535, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. D’Alessio, P., Calvet, N., & Hartmann, L. 2001, ApJ, 553, 321 [NASA ADS] [CrossRef] [Google Scholar]
  8. Dullemond, C. P., van Zadelhoff, G. J., & Natta, A. 2002, A&A, 389, 464 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Dutrey, A., di Folco, E., Guilloteau, S., et al. 2014, Nature, 514, 600 [NASA ADS] [CrossRef] [Google Scholar]
  10. Fogel, M. E., & Leung, C. M. 1998, ApJ, 501, 175 [NASA ADS] [CrossRef] [Google Scholar]
  11. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [CrossRef] [Google Scholar]
  12. Goodman, J., & Weave, J. 2010, Comm. Appl. Math. Comput. Sci., 5, 65 [CrossRef] [MathSciNet] [Google Scholar]
  13. Grosso, N., Alves, J., Wood, K., et al. 2003, ApJ, 586, 296 [NASA ADS] [CrossRef] [Google Scholar]
  14. Gueth, F., Guilloteau, S., Dutrey, A., & Bachiller, R. 1997, A&A, 323, 943 [NASA ADS] [Google Scholar]
  15. Guilloteau, S., Dutrey, A., Piétu, V., & Boehler, Y. 2011, A&A, 529, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Isella, A., Carpenter, J. M., & Sargent, A. I. 2009, ApJ, 701, 260 [NASA ADS] [CrossRef] [Google Scholar]
  17. Loinard, L., Torres, R. M., Mioduszewski, A. J., & Rodríguez, L. F. 2008, ApJ, 675, L29 [NASA ADS] [CrossRef] [Google Scholar]
  18. Pontoppidan, K. M., Stapelfeldt, K. R., Blake, G. A., van Dishoeck, E. F., & Dullemond, C. P. 2007, ApJ, 658, L111 [NASA ADS] [CrossRef] [Google Scholar]
  19. Reboussin, L., Guilloteau, S., Simon, M., et al. 2015, A&A, 578, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. van Kempen, T. A., van Dishoeck, E. F., Salter, D. M., et al. 2009, A&A, 498, 167 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Voshchinnikov, N. V., & Semenov, D. A. 2000, Astron. Lett., 26, 679 [NASA ADS] [CrossRef] [Google Scholar]

All Tables

Table 1

Dust disk modeling results.

All Figures

thumbnail Fig. 1

CO J = 2−1 spectrum toward the Flying Saucer in a 11′′ beam (black). A decomposition in four Gaussians is overlaid. The blue line is the integrated disk spectrum derived from the ALMA observations (shifted for clarity). The negative feature at 12 km s-1 is tropospheric CO. The right axis scale is the brightness temperature.

In the text
thumbnail Fig. 2

Channel maps of the 12CO J = 2−1 line emission toward the Flying Saucer. Contours are in step of 8 mJy/beam (0.76 K); negative contours are red. Velocities are indicated in each panel. The cross indicates the position and orientation of the dust disk.

In the text
thumbnail Fig. 3

Channel maps of the 12CO J = 2−1 line emission toward the Flying Saucer. Contours are in steps of 4 mJy/beam (0.38 K, approximately 2.7σ) up to 28 mJy/beam, and 8 mJy/beam above; negative contours are red. The apparent absorption peaks at six contour levels in the east, and five in the West.

In the text
thumbnail Fig. 4

a) Continuum emission at 230 GHz; contour spacing is 0.4 mJy/beam. b) Integrated CO line flux; contour spacing is 20 mJy/beam km s-1. c) Position-velocity diagram across the disk plane; contour spacing as in Fig. 3. The blue curve is the Keplerian velocity for a 0.57 M star. d) Integrated CO spectrum over the disk. Images have been rotated by clockwise to align the disk along the x-axis.

In the text
thumbnail Fig. 5

a) Dust temperatures derived as a function of position (impact parameter in au) and velocity. b) Map of the dust temperature, taken as the mean of all valid values derived for different velocities. The typical error on the mean is 1 K. c) Cut along the disk plane and comparison between the local temperature and the line-of-sight average (in red).

In the text

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