A&A 451, L9-L12 (2006)
DOI: 10.1051/0004-6361:20064944
Ch. Helling1 - W.-F. Thi1,3 - P. Woitke2 - M. Fridlund1
1 - Research and Scientific Support Department, ESTEC/ESA,
PO Box 299, 2200 AG Noordwijk, The Netherlands
2 -
Sterrewacht Leiden, PO Box 9513, 2300 RA Leiden, The Netherlands
3 -
Institute for Astronomy, University of Edinburgh, Blackford Hill, Edinburgh EH9 3HJ, UK
Received 1 February 2006 / Accepted 11 March 2006
Abstract
Context. Dust clouds influence the atmospheric structure of brown dwarfs, and they affect the heat transfer and change the gas-phase chemistry. However, the physics of their formation and evolution is not well understood. The dust composition can be predicted from thermodynamical equilibrium or time-dependent chemistry that takes into account seed particle formation, grain growth, evaporation, and drift.
Aims. In this Letter, we predict dust signatures and propose a potential observational test of the physics of dust formation in brown dwarf atmospheres based on the spectral features of the different solid components predicted by dust formation theory.
Methods. A momentum method for the formation of dirty dust grains (nucleation, growth, evaporation, and drift) is applied to a static brown dwarf atmosphere structure to compute the dust grain properties, and in particular, the heterogeneous grain composition and the grain size. The effective medium and Mie theories are used to compute the extinction of these spherical grains.
Results. Dust formation results in grains whose composition differs from that of grains formed at equilibrium. Our kinetic model predicts that amorphous SiO
(silica) is one of the most abundant solid components, followed by amorphous Mg2SiO
and MgSiO3[s], while SiO
is absent in equilibrium models because it is a metastable solid. Solid amorphous SiO
possesses a strong broad absorption feature centered at 8.7
m, while amorphous Mg2SiO
/MgSiO3[s] absorbs at 9.7
m in addition to other absorption features at longer wavelengths. Those features at
m are detectable in absorption if the grains are small (radius <0.2
m) in the upper atmosphere, as proposed by our model.
Conclusions. We suggest that the detection of a feature at 8.7 m in deep infrared spectra could provide evidence for non-equilibrium dust formation that yields grains composed of metastable solids in brown dwarf atmospheres. This feature will shift towards
m and broaden if silicates (e.g. fosterite) are much more abundant.
Key words: astrochemistry - methods: numerical - stars: atmospheres - stars: low-mass, brown dwarfs - infrared: stars
Considering the non-equilibrium character of phase transitions (supersaturation 1), Woitke & Helling (2003,2004) and
Helling & Woitke (2006) proposed a theoretical approach to consistently model the formation of dust grains by seed
formation, growth, evaporation, and drift (gravitational settling). In contrast to the phase-equilibrium calculation, Woitke &
Helling argue that grains in the oxygen-rich environment of a brown dwarf are heterogeneous in chemical composition and in
size. Moreover, precipitating into the denser inner atmospheres, these particles can reach sizes of several 100
m. In
Helling & Woitke (2006), the inferred dust composition differs markedly from that predicted by equilibrium chemistry. These
differences manifest themselves in the intrinsic absorption signatures of the solids in the mid-infrared range.
This Letter suggests a potential observational test for the presence of dust. The dust may be present in form of cloud-like structures. We will focus on the main characteristics of the theory, by which the predictions in terms of dust spectral features can be tested with current and future instruments. In Sect. 1, we report on recent progress in modeling the formation of chemically non-homogeneous cloud layers made of dirty (i.e. made up of a variety of compounds) grains in brown dwarf atmospheres. A detailed Mie theory treatment combined with effective medium theory allows us to suggest possible spectral features of such a dust layer for both approaches. The result of the modeling is described and discussed in Sect. 2
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Figure 1:
Left: mean grain size stratification for a
plan-parallel AMES (cond) late L-type brown dwarf model atmosphere of
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The results depicted in Fig. 1 show the same global dust-cloud structure as presented in
Woitke & Helling (2004). The formation of the cloud is governed by the hierarchical dominance of nucleation (uppermost
layers), growth and drift (intermediate layers), and evaporation and drift (deepest layers). The uppermost cloud layers are
predominantly filled with small grains of a mean size of
m, which grow on their way into the atmosphere to
m (l.h.s. Fig. 1). Eventually, they enter even hotter atmospheric layers where they are no
longer thermally stable. Hence, the grains shrink in size and finally dissolve into the surrounding hot, convective gas. This
picture reflects the stationary character of the grain component forming the brown dwarf's dust cloud, where dusty material
constantly falls inward and fresh, dust-free material is mixed upward.
The r.h.s. of Fig. 1 demonstrates the chemical composition of the dust grains. The grains are not of a single,
homogeneous material composition, and their material composition changes on their descent into the atmosphere. Since gas and dust
thermalise faster than the dust growth/evaporation processes take place (Woitke & Helling 2003), the chemical
composition is determined by the local temperature and the reaction kinetics. Therefore, the upper atmosphere is populated by
small, silica- and silicate-like grains until these materials become thermally unstable. Therefore, in the lower and hotter part of the
atmosphere, big grains appear that are merely made of iron and some impurities of Al2O3
and TiO2
.
The main dust component in the upper part of the dust layer is amorphous SiO2
,
followed by Mg2SiO4
/MgSiO3[s] (see Table 1). This prediction contrasts with those by equilibrium dust formation
models, where metastable species such as SiO2
cannot exist (e.g. Lodders & Fegley 2005, in press).
Figure 2 depicts the resulting spectral features from 6 m
15
m for a brown dwarf dust-cloud layer with the mean grain size and chemical dust material composition shown in Fig. 1.
For grain composition predicted by heterogeneous dust formation, the only dust features with an appreciable contrast are those of
SiO2
centered at 8.7
m and of Mg2SiO4
/MgSiO3[s] at 9.7
m, with weaker absorption
features around 20
m and 32
m (not shown). The features are broad (
1 -1.5
m) and lack substructures
because the grains are amorphous. The abundance of metallic iron is high (
15%), but metals absorb photons continuously and
do not show spectral features. The abundance of Al2O3
and TiO2
in grains is too small to
significantly affect the overall extinction coefficient. In models where SiO2
is disregarded (dashed line,
l.h.s. Fig. 2), the dust extinction is dominated by Mg2SiO4
/MgSiO3[s] at 9.7
m. The mean grain radius
remains smaller than 0.2
m in the
1 region in the model. Therefore, the grain absorption features
remain. In contrast, if the grains were as large as
m, the resonance features would disappear (Min et al. 2004).
The region where
1, in the wavelength range 5-25
m, has pressure below 10-2 bar in the model
atmosphere considered.
In phase-equilibrium, the condensates are formed locally and retain the energetically most-favorable composition at the
temperature and pressure of the given depth in the atmosphere (Lodders & Fegley 2005, in press). Further condensation is not possible because
the grains are kept in relatively thin, discrete cloud layers and, hence, cannot move into regions with still favorable
growth conditions. Individual cloud layers are composed of different solid species,
depending on the temperature of the layer.
Above the silicate clouds, the gas phase is strongly depleted, and thus
the absence of gas-phase species in L and T dwarf atmospheres has been used as evidence of the presence of clouds.
The
prediction of equilibrium theory is the absence of solid SiO2; hence equilibrium dust is predominately composed of
silicates. We modeled the absence of SiO2,
and the spectral result is shown in Fig. 2 (l.h.s.). Besides moving
the peak of the absorption to 9.7
m, the absence of amorphous SiO2
substantially decreases the absorption
contrast.
Table 1: Mean size and material composition of dust grains.
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Figure 2:
Absorption transmission spectrum (=
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We now discuss the detectability of infrared dust features in brown dwarf atmospheres. From Fig. 2 (r.h.s.), we
can see that the absorption over continuum contrast varies from 10 20%, with the maximum obtained for cold brown
dwarfs, if SiO2
is present. This contrast is achieved because the grains are small (<0.2
m). In the absence
of SiO2
,
Mg2SiO4
/MgSiO3[s] will weakly absorb at 9.7
m. In the case of large grains, no
feature can be detected and it is not possible to determine the composition of these grains. The presence or absence of
SiO2
can be tested observationally. Recently, Cushing et al. (2006) presented Spitzer
IRS
results showing L-dwarf spectra with a
m broad
absorption centered at
m. However, we have treated an
idealized situation where dust grains are the main sources of opacity. In reality, the feature will appear on top of
gas absorption lines. The gas phase absorption proceeds by
lines whose width is determined by the pressure at the height of the absorption layer. Typical molecular band widths are
m.
Another limitation of our treatment is the assumption of spherical grains, which may introduce spurious effects during the opacity calculation. Grains are most likely non-spherical and their absorption coefficients should be computed with, for example, the hollow sphere model (Min et al. 2005), which successfully models asphericity by applying a distribution of hollow spheres. However, the use of hollow spheres would only introduce minor changes in the shape of the absorption feature and thus would not significantly change the wavelength-position of the dust features and hence the conclusion of this paper. Finally, the heterogeneous formation model does not compute the exact grain size distribution, but only its moments from which the mean size can be computed. Future work is needed to calculate better analytical representations of the size-distribution function from the dust moments.
Acknowledgements
We thank the anonymous referee for his suggestions. We thank A. Heras for comments on the manuscript, F. Allard and P. Hauschildt for making their model results freely available. Ch.H. and W.F.T. acknowledge ESA internal fellowships at ESTEC, PW the NWO Computational Physics program, grant 614.031.017, in the ASTROHYDRO3D initiative. The computer support by the ESTEC RSSD computer team is highly appreciated.