Mossbauer spectral curve fitting combining fundamentally different techniques
Author(s)
Susanto, Ferry
de Souza, Paulo
Griffith University Author(s)
Year published
2016
Metadata
Show full item recordAbstract
We propose the use of fundamentally distinctive techniques to solve the problem of curve fitting a Mössbauer spectrum. The techniques we investigated are: evolutionary algorithm, basin hopping, and hill climbing. These techniques were applied in isolation and combined to fit different shapes of Mössbauer spectra. The results indicate that complex Mössbauer spectra can be automatically curve fitted using minimum user input, and combination of these techniques achieved the best performance (lowest statistical error). The software and sample of Mössbauer spectra have been made available through a link at the reference.We propose the use of fundamentally distinctive techniques to solve the problem of curve fitting a Mössbauer spectrum. The techniques we investigated are: evolutionary algorithm, basin hopping, and hill climbing. These techniques were applied in isolation and combined to fit different shapes of Mössbauer spectra. The results indicate that complex Mössbauer spectra can be automatically curve fitted using minimum user input, and combination of these techniques achieved the best performance (lowest statistical error). The software and sample of Mössbauer spectra have been made available through a link at the reference.
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Journal Title
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
Volume
385
Subject
Geochemistry
Science & Technology
Technology
Physical Sciences
Instruments & Instrumentation
Nuclear Science & Technology