Data inversion for dynamic light scattering using Fisher information

Su-Long Nyeo, Rafat R. Ansari

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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).

Original languageEnglish
Article number075703
JournalLaser Physics
Volume25
Issue number7
DOIs
Publication statusPublished - 2015 Jul 1

Fingerprint

Fisher information
Dynamic light scattering
light scattering
inversions
Inverse problems
Maximum entropy methods
maximum entropy method
curves

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Condensed Matter Physics
  • Industrial and Manufacturing Engineering

Cite this

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Data inversion for dynamic light scattering using Fisher information. / Nyeo, Su-Long; Ansari, Rafat R.

In: Laser Physics, Vol. 25, No. 7, 075703, 01.07.2015.

Research output: Contribution to journalArticle

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