Shape effects in optical properties of composite dust particles
© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2013
Received: 31 October 2012
Accepted: 20 March 2013
Published: 24 October 2013
We present optical features characteristic of the shape of composite dust particles, such as grain-aggregates formed under cosmic or atmospheric conditions. The discussion develops along two examples of realistic models for the formation of the composite particles, and constant refractive indices. That way, particular features exhibited in the optical cross section behaviors result from the particle structure only. The role of the ratio between optical particle cross section and the corresponding cross section of the coated sphere of same composition and volume is highlighted. Limited wavelength ranges are defined where the coated sphere model can be used to obtain the effective radius or the volume composition of the particle. Other wavelength domains are very dependent on the particle formation mechanisms, then giving constraints on the possible formation processes. Therefore, such an approach is able to provide inverse methods to obtain the actual values of physical parameters from definite features of optical quantities.
1. Statement of the Problem
In the interstellar medium, strong optical extinction of dust particles in the ultraviolet region is interpreted as the presence of nanometer sized particles, while characteristics in the visible range indicate micrometer sized particles. A possible conclusion is that dust particles are made of nano-metric grains aggregated in large clusters (Mathis and Whif-fen, 1989). Similar inference arose for other cosmic dust particles (Weidenschilling and Cuzzi, 1993). The inverse scattering problem—i.e. obtaining the complete description of a disordered object from its optical response—, cannot be handled for such complicated shapes. We can remember the dragon-tracks image given in a popular book (Bohren and Huffman, 2004, p. 10), and the question: can you “describe a dragon from its tracks”? Presently, the only practicable road is the direct way, that is to compare experimental data to calculations from tentative structures. However, it requires often a number of trial and error, is computationally demanding, and uniqueness of the solution is questionable.
Instead of trying to guess the complete particle structure in a single step, one could look for wavelength domains and scattering features providing partial, though definite, information about particle shape and material. The simplest example of such an approach is Rayleigh scattering: when the wavelength is much larger than the particle diameter, the scattering signal does not carry information about the inner structure of the particles, but about effective radius and average refractive index. Though incomplete, the information is valuable. The present work develops a similar idea, beyond the Rayleigh approximation.
We consider below a composite particle made of two different compounds, and we ask: 1) what is the volume fraction of each compound? 2) which formation process is plausible? In this context, the coated sphere approximation is appropriate as it gives access to the composition of the 2-compounds particle. Comparing the coated sphere theory to two generic disordered core-shell models, we determine wavelength domains in which specific information can be extracted. That way, we reinstate the Mie theory as a fundamental tool to obtain relevant information from particle scattering data, in a controlled manner. Other simple theories (e.g. the effective medium theory) or more advanced models (as presented in the Conclusion) could be considered as well.
2. General Introduction to the Method
The starting point is the suggestion by Mathis (Mathis, 1996) to consider the ratios between the optical cross sections of randomly oriented oblate spheroids of given shape and the corresponding cross sections of the sphere of equal volume. It appears that these ratios can be estimated simply for wavelengths much smaller or much larger than the size of the particle. Moreover, the ratios are essentially independent on the wavelength in the case of randomly oriented homogeneous ellipsoids with shape distribution (Min et al, 2003). Then, these optical ratios show relatively simple behaviors, and can be useful though restricted to simple geometrical shapes.
Then, we will calculate values of Q(λ) for models of particles possibly representing real scatterers, and look for domains of the parameters where the behavior of S(λ) is simple (the approximate theory will then be usable with a mere correction factor) or characteristic (possible and unambiguous interpretation of the features).
3. The Method for Composite Particles
Let us take the example of composite particle, that is assembly of homogeneous pieces of various chemical compositions (Henning, 1997). It might be a particle made of ice grains (Cuppen and Herbst, 2007), and of carbonaceous grains such as tholins (Sagan and Khare, 1979) or PAH (Ravindra et al, 2008), with either carbonaceous core (Wickramasinghe, 1965) or silicate core (Greenberg, 1989). However, we shall consider below generic materials instead of specific substances, since many features are expected to be almost insensitive to the chemical composition (Wright, 1987).
constituent A is a sticky material, optically absorbing
constituent B is a transparent volatile material with small optical absorption.
Note that we consider ma and mB independent of the wavelength. That way, any special feature depending on the wavelength will be a shape effect. In the following, f c denotes the volume fraction of the core.
3.2 Generic shapes
Clusters made of two kinds of domains result generally from a 2-steps process (Helling and Woitke, 2006). According to the fractal theory (Jullien and Botet, 1987), formation of aggregated particles in rarefied medium may result from four different processes when melting can be neglected (Lin et al, 1987). The names given below refer to the formation modes, according to the combination/core/mantle/, and the coding (Meakin and Jullien, 1988): ‘B’ → ‘Ballistic’, ‘R’ → ‘Reaction-limited’, ‘C’ → Cluster-Cluster model, ‘P’ → Particle-Cluster model.
BCAB PB process:a cloud of sticky A-grains condensates in aggregates (Gelencser, 2004). Since the clusters move freely, the Ballistic Cluster-Cluster Aggregation process (BaCCA) generates fractal particles, with the fractal dimension D f ≃ 1.9 (Meakin and Jullien, 1988), see Fig. 1(a). In a second step, the A-particles cross a cloud made of dispersed B-grains, which come and stick on the particle surfaces (Ravey, 1975), producing B-coating through the Ballistic Particle-Cluster process (BaPCA) (Meakin, 1985). A final particle is shown on Fig. 1(b). It is made of a disordered fractal core of A, coated with B-grains.
BCAB PB process:B-grains condensate first in clusters through the Reaction-limited Particle-Cluster Aggregation process (RPCA) since bonds between adjoining B-grains are weak (Jullien and Botet, 1987). These clusters are compact with rough surface, see Fig. 2(a). Then the B-clusters cross a cloud of sticky A-grains which go and form random coating following the Ballistic Particle-Cluster process (BaPCA), see Fig. 2(b). Final particles consist in a rough compact core of B, coated with a thin shell of A.
4. Optical Efficiency Factors for the Composite Particles
Ensembles of particles were prepared according to each formation process. The particles all consist of N = 10240 dipoles and effective radius aeff = 200 nm. Ensembleand angle-averaged optical efficiencies were computed over the wavelength range: 0.1 μm < λ < 5 μm, using the DDSCAT code v.7.2 (Draine and Flatau, 2012). The results depend on the non-dimensional size parameter x = 2πaeff/λ, and on the particle formation process.
4.1 Optical efficiency factors of disordered fractal A-cluster coated with B-grains (BCAB PB process)
We first consider optical properties of fractal A-core with B-coating, as in Fig. 1. The computed extinction, absorption and backscattering efficiencies are compared with the values obtained with the BHCOAT code (Bohren and Huffman, 2004) for a spherical particle made of A (f c = 20%), coated with B (80%).
• on Fig. 3, we see that both models (coated fractal and coated sphere) exhibit strong absorption in the UV domain. This is not due to feature in the refractive indices, as they do not depend, here, on the wavelength. Moreover, extinction and absorption efficiency factors of the fractal particles are about twice as large as for the coated sphere of same volume and composition. This is consistent with the absorption enhancement for the ‘closed-cell’ fractal aggregates (i.e. clusters of coated grains) compared with the ‘open-cell’ structures (core-shell structure) for large values of x (Liou et al, 2011).
• the backscattering intensity is dramatically lowered for the coated fractal particles (Fig. 3 bottom-left) as the result of coherence loss of the backscattered waves, due to the structure irregularities. Such an effect is known in other domains of wave scattering (Botta et al, 2011).
4.2 Optical efficiency factors of rough compact B-cluster coated with A-grains (RPBB PA process)
As previously, the backscattering intensity is strongly lowered at all wavelengths (Fig. 4 bottom-left).
4.3.1 The large wavelength regime
the fractal absorbing cluster coated with transparent material, (BCAB PB, Fig. 1), exhibits about the same absorbing cross section as the corresponding coated sphere, but a smaller scattering cross section, namely: Sabs = 1.1 ± 0.05, Ssca = 0.8 ± 0.05
on the contrary, the rough transparent cluster coated with absorbing material, (RPBB PB, Fig. 2), presents scattering cross section comparable to the corresponding coated sphere of same composition, but the absorbing cross section is significantly smaller: Sabs = 0.77 ± 0.05, Ssca = 1.1 ± 0.05
These particular values of the ratios S are independent on λ but depend on f c and on the formation process. Let S(∞) be the limit ratios for a given formation process.
4.3.2 The UV-shift
Information about the particle formation process derives from the efficiency data in the range 1 < x < 6. Indeed, we note the very different behaviors of the ratios S(λ) for the two models (Fig. 3 and Fig. 4 bottom-right): the absorbing fractal core coated with transparent compound exhibits shift of the absorption and extinction efficiency factors peaks to the UV, compared to the coated sphere of same composition. It results in a characteristic dip-and-rise shape of the S(λ) function in this range. Such a feature is totally absent for the RPBB PA model.
4.3.3 Global information
More generally, qualitative agreement between disordered composite particles and the coated sphere (such as in Fig. 4) is the sign of a compact core. Moreover, S(λ) appears in this case to be a smooth correction factor (≠ 1 in general) with meaningful values which can be used to determine the effective radius and the core volume of the scattering particles (large wavelengths) and give insights into the surface roughness (small wavelengths).
On the other hand, discrepancies between the coated sphere model and observational data carry information too. The case of the non-monotonic shape of the S(λ) function—such as in Fig. 3—, signs UV shift of the scattering and absorbing peaks resulting from the presence of many small structures. Generally, deviations appear for the wavelengths of same order as the typical distance between sub-structures (Iati et al, 2004). These differences are naturally highlighted on S(λ) features.
The motivation of this work was to show how a simple model (here: the coated sphere model) compare with the structure of complex dust particles. Agreement between observational data and the simple model in suitable parameter ranges, allows determination of the relevant parameters characterizing the model, while discrepancies are used to understand the geometry of the scatterers, as they correspond to shape effects (i.e. deviations from the shape considered in the simple model).
As illustration, we used models of 2-compounds composite particles of given composition (namely: absorbing A compound, transparent B compound, and excess of B grains) to exemplify which information are obtained from comparison to the coated sphere of same composition.
Other models depending on a few number of parameters could be used as well. A more sophisticated example is given in Kimura et al (2003), with aggregates of 1-compound monodispersed grains. Indeed, the optical properties of these numerical particles were shown to be fairly independent of the cluster shape and size, for the grain radius and refractive index expected for cometary dust particles. Then, after characterizing wavelength ranges and optical quantities which are sensitive to one of the parameters and not the others, one should be able to build inverse-method tools for grain radius and refractive index determination from observational data.
We thank N. Voshchinnikov (referee) and H. Kimura (editor) for very many constructive comments and suggestions, making the text significantly improved. R. B. would like to thank E. Hadamcik and R. Gupta for helpful discussions during visit of IUCAA (Pune, India). We also thank an anonymous referee for his/her helpful remarks about a number of unclear points in the first version of the manuscript. This work was supported by France-India CEFIPRA project No 4407-A “Cometary grains: observations and simulations”.
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