Comparisons of the discrete-dipole approximation and modified double interaction model methods to predict light scattering from small features on surfaces
Bm. Nebeker et al., Comparisons of the discrete-dipole approximation and modified double interaction model methods to predict light scattering from small features on surfaces, J QUAN SPEC, 70(4-6), 2001, pp. 749-759
Citations number
7
Categorie Soggetti
Spectroscopy /Instrumentation/Analytical Sciences
Journal title
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
Two numerical methods to model light scattering from illuminated features o
n surfaces are presented. The discrete-dipole approximation (DDA) method is
considered, as well as the modified double interaction method (MDIM). The
DDA method models electromagnetic scattering of continuous features using d
iscrete dipoles placed on a lattice structure. Sommerfeld integral terms ar
e used to model dipole/surface interaction in the near-field. The MDIM meth
od first computes scattering from the features based in free space using ot
her methods such as Mie theory or other standard light scattering codes (in
cluding DDA). The surface interaction is modeled as a first approximation b
y means of a geometrical shadowing effect and the Fresnel coefficients. Com
parisons of the methods will be shown for light scattering from spherical f
eatures. The material properties of dielectric and metallic materials will
be considered and the feature sizes will be varied. The prediction accuracy
and computational requirements of each method will be investigated. For mo
st cases, the studies will show that the DDA method is more accurate than t
he MDIM method for dielectric materials since the modeling of the feature a
nd surface electromagnetic interaction is more accurate; however, the modif
ied double interaction method may be advantageous over the discrete-dipole
approximation method for metallic features because of lesser computational
times and memory requirements. (C) 2001 Elsevier Science Ltd. All rights re
served.