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INSIGHT: in situ heuristic tool for the efficient reduction of grazing-incidence X-ray scattering data.
Reus, Manuel A; Reb, Lennart K; Kosbahn, David P; Roth, Stephan V; Müller-Buschbaum, Peter.
Afiliación
  • Reus MA; Chair for Functional Materials, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany.
  • Reb LK; Chair for Functional Materials, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany.
  • Kosbahn DP; Chair for Functional Materials, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany.
  • Roth SV; Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany.
  • Müller-Buschbaum P; Royal Institute of Technology (KTH), Teknikringen 56-58, 100 44 Stockholm, Sweden.
J Appl Crystallogr ; 57(Pt 2): 509-528, 2024 Apr 01.
Article en En | MEDLINE | ID: mdl-38596722
ABSTRACT
INSIGHT is a Python-based software tool for processing and reducing 2D grazing-incidence wide- and small-angle X-ray scattering (GIWAXS/GISAXS) data. It offers the geometric transformation of the 2D GIWAXS/GISAXS detector image to reciprocal space, including vectorized and parallelized pixel-wise intensity correction calculations. An explicit focus on efficient data management and batch processing enables full control of large time-resolved synchrotron and laboratory data sets for a detailed analysis of kinetic GIWAXS/GISAXS studies of thin films. It processes data acquired with arbitrarily rotated detectors and performs vertical, horizontal, azimuthal and radial cuts in reciprocal space. It further allows crystallographic indexing and GIWAXS pattern simulation, and provides various plotting and export functionalities. Customized scripting offers a one-step solution to reduce, process, analyze and export findings of large in situ and operando data sets.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Appl Crystallogr Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Appl Crystallogr Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos