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. 2012 Nov 5;20(23):25834-42.
doi: 10.1364/OE.20.025834.

Coupled and uncoupled dipole models of nonlinear scattering

Affiliations

Coupled and uncoupled dipole models of nonlinear scattering

Naveen K Balla et al. Opt Express. .

Abstract

Dipole models are one of the simplest numerical models to understand nonlinear scattering. Existing dipole model for second harmonic generation, third harmonic generation and coherent anti-Stokes Raman scattering assume that the dipoles which make up a scatterer do not interact with one another. Thus, this dipole model can be called the uncoupled dipole model. This dipole model is not sufficient to describe the effects of refractive index of a scatterer or to describe scattering at the edges of a scatterer. Taking into account the interaction between dipoles overcomes these short comings of the uncoupled dipole model. Coupled dipole model has been primarily used for linear scattering studies but it can be extended to predict nonlinear scattering. The coupled and uncoupled dipole models have been compared to highlight their differences. Results of nonlinear scattering predicted by coupled dipole model agree well with previously reported experimental results.

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Figures

Fig. 1
Fig. 1
Schematic of x-polarized light being focused on a thin layer of actin fibers oriented along x-axis.
Fig. 2
Fig. 2
Distribution of second order polarization component Px(2) induced in a thin layer of actin fiber bundles. Results predicted by UDM (a) and CMD (b&c). Refractive indices of samples (b) and (c) are 1.42 and 1.6 respectively.
Fig. 3
Fig. 3
Distribution of second order polarization components Py(2) (a & c)and Pz(2) (b & d) induced in a thin layer of actin fiber bundles. Results predicted by UDM (a & b) and CMD (c & d). Refractive index of 1.6 was used in CDM calculations.
Fig. 4
Fig. 4
Comparison of forward THG from axial scan of a 1.5 µm polystyrene bead as predicted by UDM and CDM.
Fig. 5
Fig. 5
Comparison of forward (-) and backward (- -) CARS from axial scan of a 1.5 µm polystyrene bead as predicted by a) CDM and b) UDM.

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