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Proceedings Paper

Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data
Author(s): Vladimir V. Berdnik; Olga A. Gritsai; Valery A. Loiko
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Paper Abstract

A method to retrieve radius from 0.6 mkm up to 13.6 mkm and relative refractive index from 1.015 up to 1.28 of spherical homogeneous non-absorbing particles by multi-angle scattering is proposed. It is based on the formation of noise resistant functionals of the scattered intensity, which are invariant relatively linear homogeneous transformations of an intensity-based signal, and on the approximation of the retrieved parameters dependence on the functionals by a feed forward neural network. The values of intensity of light scattered in the interval of angles 10° - 60° are used. At 20% measurement errors the mean errors of the retrieval of radius and relative refractive index are 0.8% and 7%, respectively.

Paper Details

Date Published: 8 February 2011
PDF: 6 pages
Proc. SPIE 7994, LAT 2010: International Conference on Lasers, Applications, and Technologies, 79940X (8 February 2011); doi: 10.1117/12.882064
Show Author Affiliations
Vladimir V. Berdnik, Técnicas de Investigacion Hidrogeolologica S.A (Russian Federation)
Olga A. Gritsai, B.I. Stepanov Institute of Physics (Belarus)
Valery A. Loiko, B.I. Stepanov Institute of Physics (Belarus)

Published in SPIE Proceedings Vol. 7994:
LAT 2010: International Conference on Lasers, Applications, and Technologies
Vladislav Panchenko; Gérard Mourou; Aleksei M. Zheltikov, Editor(s)

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