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Proceedings Article

Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data

[+] Author Affiliations
Vladimir V. Berdnik

Técnicas de Investigacion Hidrogeolologica S.A (Russian Federation)

Olga A. Gritsai, Valery A. Loiko

B.I. Stepanov Institute of Physics (Belarus)

Proc. SPIE 7994, LAT 2010: International Conference on Lasers, Applications, and Technologies, 79940X (February 07, 2011); doi:10.1117/12.882064
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From Conference Volume 7994

  • LAT 2010: International Conference on Lasers, Applications, and Technologies
  • Vladislav Panchenko; Gérard Mourou; Aleksei M. Zheltikov
  • Kazan, Russian Federation | August 23, 2010

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.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Vladimir V. Berdnik ; Olga A. Gritsai and Valery A. Loiko
"Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data", Proc. SPIE 7994, LAT 2010: International Conference on Lasers, Applications, and Technologies, 79940X (February 07, 2011); doi:10.1117/12.882064; http://dx.doi.org/10.1117/12.882064


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