dc.contributor.author
Marini, Carlo
dc.contributor.author
Roqué-Rosell, Josep
dc.contributor.author
Campeny, Marc
dc.contributor.author
Toutounchiavvald, Shiva
dc.contributor.author
Simonellia, Laura
dc.date.accessioned
2023-05-04T07:08:36Z
dc.date.accessioned
2024-07-29T10:18:58Z
dc.date.available
2023-05-04T07:08:36Z
dc.date.available
2024-07-29T10:18:58Z
dc.date.issued
2021-04-02
dc.identifier.uri
http://hdl.handle.net/2072/533414
dc.description.abstract
MAP2XANES is an intuitive Jupyter notebook that automatizes the analysis of
synchrotron X-ray fluorescence imaging and X-ray absorption spectroscopy
for the characterization of complex and heterogeneous samples. The notebook
uses basic modules and functions from Numpy, Scipy, Pandas, iPywidgets and
Matplotlib libraries for a powerful data reduction process that, in just a few
clicks, guides the user through the visualization of elemental maps, spaceresolved
absorption spectra and their automatized analysis. In particular, by
means of linear combination fit of the XANES spectra, the notebook determines
the chemical species distribution in the sample under investigation. The direct
output of the analysis process is the correlation between the different elemental
distributions and the spatial localization of the chemical species detected. An
application to mineralogy is thus presented, analyzing the Mn2+, Mn3+ and Mn4+
distribution in a mineral sample of hausmannite (Mn2+Mn2
3+O4), courtesy of
the Museum of Natural Science of Barcelona.
eng
dc.relation.ispartof
Journal of synchrotron radiation, Vol. 28, Issue 4 (July 2021), p. 1031-1272
dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
Museu de Ciències Naturals de Barcelona
dc.subject.other
Programes d'ordinador
dc.subject.other
Processament de dades
dc.subject.other
Espectroscòpia de raigs X
dc.title
MAP2XANES: a Jupyter interactive notebook for elemental mapping and XANES speciation
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
https://doi.org/10.1107/S1600577521003593
dc.rights.accessLevel
info:eu-repo/semantics/openAccess