• DocumentCode
    1623612
  • Title

    Fitting of a Mossbauer spectrum using a genetic algorithm

  • Author

    Ahonen, Hannu ; de Souza, P.A. ; Garg, Vijayendra K.

  • Author_Institution
    Dept. of Inf., Univ. Federal do Espirito Santo, Brazil
  • Volume
    2
  • fYear
    1996
  • Firstpage
    781
  • Abstract
    A genetic algorithm was implemented for finding an approximate solution for fitting a combination of Lorentzian lines of a measured spectrum. Mossbauer spectroscopy is applicable to a large number of industrial and scientific applications. The results of the genetic algorithm are compared with those obtained by commercially available and widely used software
  • Keywords
    Mossbauer spectroscopy; genetic algorithms; Lorentzian lines; Mossbauer spectroscopy; approximate solution; genetic algorithm; spectrum fitting; Application software; Genetic algorithms; Iron; Iterative algorithms; Minerals; Robustness; Shape; Software measurement; Spectroscopy; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996., IEEE 39th Midwest symposium on
  • Conference_Location
    Ames, IA
  • Print_ISBN
    0-7803-3636-4
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1996.588026
  • Filename
    588026