Login / Signup

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

Adam H ClarkJerick ImbaoRonald FrahmMaarten Nachtegaal
Published in: Journal of synchrotron radiation (2020)
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.
Keyphrases
  • electronic health record
  • big data
  • public health
  • high resolution
  • machine learning
  • single molecule
  • ionic liquid
  • deep learning