Software

Mossbauer Spectra Fitting Program: iMoss

Commonwealth Scientific and Industrial Research Organisation
Susanto, Ferry ( Contributor ) De Souza Junior, Paulo ( Contributor )
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/56B033EF307CA&rft.title=Mossbauer Spectra Fitting Program: iMoss&rft.identifier=10.4225/08/56B033EF307CA&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=Software for least-square fitting Mossbauer spectra. The optimisation routine is implemented using evolutionary algorithms, hill climbing, basin hopping, or any combination of those. The algorithm was implemented in Python and requires the following libraries: SciPy, NumPy, PyQtGraph. Sample Mossbauer spectra is provided. Those contain a single singlet, a single doublet, a single sextet and combination of one or more of these lines. This spectrum data is already folded. No folding is provided with this software.Sample data for this fitting program consists of a 57Fe Mossbauer spectrum in Rh matrix with 256 data points (folded). The program is intended to be used to fit crystalline sites, no distribution of hyperfine parameters is available at the current version.&rft.creator=Susanto, Ferry &rft.creator=De Souza Junior, Paulo &rft.date=2016&rft.edition=v1&rft_rights=All Rights (including copyright) CSIRO 2016.&rft_rights=CSIRO Open Source Software Licence v1.0 (Based on MIT/BSD Open Source Licence) https://wiki.csiro.au/pages/viewpage.action?pageId=663847169&rft_subject=Mossbauer Spectroscopy, Curve Fitting, Optmisation&rft_subject=Communications Technologies Not Elsewhere Classified&rft_subject=Technology&rft_subject=Communications Technologies&rft_subject=Condensed Matter Characterisation Technique Development&rft_subject=Physical Sciences&rft_subject=Condensed Matter Physics&rft.type=dataset&rft.language=English Access the software

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CSIRO Open Source Software Licence v1.0 (Based on MIT/BSD Open Source Licence)
https://wiki.csiro.au/pages/viewpage.action?pageId=663847169

All Rights (including copyright) CSIRO 2016.

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Data is accessible online and may be reused in accordance with licence conditions

Brief description

Software for least-square fitting Mossbauer spectra. The optimisation routine is implemented using evolutionary algorithms, hill climbing, basin hopping, or any combination of those.
The algorithm was implemented in Python and requires the following libraries: SciPy, NumPy, PyQtGraph.
Sample Mossbauer spectra is provided. Those contain a single singlet, a single doublet, a single sextet and combination of one or more of these lines. This spectrum data is already folded. No folding is provided with this software.

Lineage

Sample data for this fitting program consists of a 57Fe Mossbauer spectrum in Rh matrix with 256 data points (folded). The program is intended to be used to fit crystalline sites, no distribution of hyperfine parameters is available at the current version.

Data time period: 2014-02-01 to 2014-11-01

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