Application of global optimisation to particle identification using light scattering

S. Zakovic, Zbigniew Ulanowski, Michael Bartholomew-Biggs

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)


    Numerical methods of solving the inverse light scattering problem for spheres are presented. The methods are based on two stochastic global optimization techniques: Deep's random search and the multilevel single-linkage clustering analysis due to Rinnooy Kan and Timmer. Computational examples show that the radius and the refractive index of spheres comparable with or larger than the wavelength of light can be recovered from multiangle scattering data. While the random search approach is faster, the clustering analysis is shown to be more reliable. A general discussion of the clustering method is also given.
    Original languageEnglish
    Pages (from-to)1053-1067
    Number of pages15
    JournalInverse Problems
    Issue number4
    Publication statusPublished - 1998


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