Improvement of the Tikhonov Regularization Method for Solving the Inverse Problem of Mössbauer Spectroscopy

Improvement of the Tikhonov Regularization Method for Solving the Inverse Problem of Mössbauer Spectroscopy

An iterative algorithm for narrowing the definition domain of the distribution function of the hyperfine interaction parameter is proposed. The use of this algorithm increases the resolving power of the Tikhonov regularization method for solving the inverse problem of Mössbauer spectroscopy.

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Veröffentlicht in:Journal of applied spectroscopy 2018-11, Vol.85 (5), p.931-935
Hauptverfasser: Nemtsova, O. M., Konygin, G. N.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis
Analytical Chemistry
Atomic/Molecular Structure and Spectra
Distribution functions
Interaction parameters
Inverse problems
Iterative algorithms
Methods
Mossbauer spectroscopy
Physics
Physics and Astronomy
Regularization
Regularization methods
Resolution
Spectroscopy
Spectrum analysis
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Beschreibung
Zusammenfassung:An iterative algorithm for narrowing the definition domain of the distribution function of the hyperfine interaction parameter is proposed. The use of this algorithm increases the resolving power of the Tikhonov regularization method for solving the inverse problem of Mössbauer spectroscopy.
ISSN:0021-9037
1573-8647
DOI:10.1007/s10812-018-0741-2