Data inversion for dynamic light scattering using Fisher information

Su-Long Nyeo, Rafat R. Ansari

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)


Dynamic light scattering is a promising technique for characterizing colloidal particles as their size distribution. The determination of a size distribution is however an ill-posed inverse problem, which requires efficient and well-tested numerical algorithms. In this paper, the inverse problem is studied numerically using the Tikhonov regularization method with Fisher information as a regularization function. A numerical algorithm is described to obtain well-defined solutions to the problem and an optimal solution is determined by the L-curve criterion. Simulated data are created from unimodal and bimodal distributions and analyzed to evaluate the performance of the algorithm. It is shown that the algorithm can efficiently retrieve a unimodal distribution of a very broad support and bimodal distributions with higher accuracy than the well-known algorithms of the constrained regularization method (CONTIN) and the maximum-entropy method (MEM).

期刊Laser Physics
出版狀態Published - 2015 7月 1

All Science Journal Classification (ASJC) codes

  • 原子與分子物理與光學
  • 儀器
  • 凝聚態物理學
  • 工業與製造工程


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