Open AccessProQEXAFS : a highly optimized parallelized rapid processing software for QEXAFS data
Author(s) -
Clark Adam H.,
Imbao Jerick,
Frahm Ronald,
Nachtegaal Maarten
Publication year - 2020
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577519017053
Subject(s) - python (programming language) , computer science , software , raw data , graphical user interface , computational science , binary number , interface (matter) , data processing , computer graphics (images) , parallel computing , database , operating system , programming language , arithmetic , mathematics , bubble , maximum bubble pressure method
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.