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Comparison of methods for estimating continuous distributions of relaxation times

Authors
  • Tuncer, Enis
  • Macdonald, J. Ross
Type
Preprint
Publication Date
Apr 18, 2005
Submission Date
Apr 18, 2005
Identifiers
DOI: 10.1063/1.2188053
arXiv ID: cond-mat/0504428
Source
arXiv
License
Unknown
External links

Abstract

The nonparametric estimation of the distribution of relaxation times approach is not as frequently used in the analysis of dispersed response of dielectric or conductive materials as are other immittance data analysis methods based on parametric curve fitting techniques. Nevertheless, such distributions can yield important information about the physical processes present in measured material. In this letter, we apply two quite different numerical inversion methods to estimate the distribution of relaxation times for glassy \lila\ dielectric frequency-response data at $225 \kelvin$. Both methods yield unique distributions that agree very closely with the actual exact one accurately calculated from the corrected bulk-dispersion Kohlrausch model established independently by means of parametric data fit using the corrected modulus formalism method. The obtained distributions are also greatly superior to those estimated using approximate functions equations given in the literature.

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