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ProQEXAFS: a highly optimized parallelized rapid processing software for QEXAFS data

The high temporal resolution in data acquisition, possible in the quick-scanning EXAFS (QEXAFS) mode of operation, provides new challenges in efficient data processing methods. Here a new approach is developed that combines an easy to use interactive graphical interface with highly optimized and ful...

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Detalles Bibliográficos
Autores principales: Clark, Adam H., Imbao, Jerick, Frahm, Ronald, Nachtegaal, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064099/
https://www.ncbi.nlm.nih.gov/pubmed/32153297
http://dx.doi.org/10.1107/S1600577519017053
Descripción
Sumario:The high temporal resolution in data acquisition, possible in the quick-scanning EXAFS (QEXAFS) mode of operation, provides new challenges in efficient data processing methods. Here a new approach is developed that combines an easy to use interactive graphical interface with highly optimized and fully parallelized Python-based routines for extracting, normalizing and interpolating oversampled time-resolved XAS spectra from a raw binary stream of data acquired during operando QEXAFS studies. The programs developed are freely available via a Github repository.