2013
DOI: 10.1364/ao.52.004083
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Determination of the bulk scattering parameters of diffusing materials

Abstract: Diffusors are widely used optical components having numerous applications. They are commonly used to homogenize light beams and to create particular intensity distributions. The angular scattering profile of bulk scattering diffusing materials is determined by three bulk scattering parameters that are, however, not commonly available. This hampers an accurate implementation of bulk diffusors in ray tracing simulations. In this paper, the bulk scattering parameters of a concentration series of milk diluted with… Show more

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Cited by 22 publications
(24 citation statements)
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“…The extrapolation is a linear extrapolation of the spectral radiant intensity divided by the cosine of the scatter angle. This extrapolation was chosen because it gives the exact value for the scattered radiant intensity in the case of a Lambertian scattered intensity pattern [9].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The extrapolation is a linear extrapolation of the spectral radiant intensity divided by the cosine of the scatter angle. This extrapolation was chosen because it gives the exact value for the scattered radiant intensity in the case of a Lambertian scattered intensity pattern [9].…”
Section: Methodsmentioning
confidence: 99%
“…However, for the iterative procedure in the IAD method, a restricted number of parameters is necessary [9]. Usually, the HenyeyGreenstein phase function with one free parameter is employed in the IAD routine [8,9].…”
Section: Phase Functionsmentioning
confidence: 99%
See 1 more Smart Citation
“…11,12 The refractive index of the silicone is determined by the phenyl-methyl concentration. Given that the phenyl-methyl concentration is the same for both the silicone oil and the silicone encapsulant, no significant change in the optical behavior is expected.…”
Section: Simulation Modelmentioning
confidence: 99%
“…The inverse problem solution to the RTE using the IAD has been performed using a MATLAB ® code developed and validated by Leyre et al 11 and updated by Córreia et al 16 Using genetic algorithms, the best-fit between experimental and calculated results is found considering 256 quadrature points in the discretization. The Gegenbauer-Kernel was adopted as the phase function 17 that best fits to the experimental data E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 0 2 ; 3 2 6 ; 4 8 0…”
Section: Simulation Modelmentioning
confidence: 99%