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XGANDALF – extended gradient descent algorithm for lattice finding
Citation Link: https://doi.org/10.15480/882.2428
Publikationstyp
Journal Article
Date Issued
2019-08-30
Sprache
English
Institut
TORE-DOI
TORE-URI
Journal
Volume
75
Issue
5
Start Page
694
End Page
704
Citation
Acta Crystallographica. Section A, Foundations and Advances 5 (75): 694-704 (2019)
Publisher DOI
Scopus ID
Publisher
International Union of Crystallography (IUCr) ; Wiley-Blackwell - STM
Serial crystallography records still diffraction patterns from single, randomly oriented crystals, then merges data from hundreds or thousands of them to form a complete data set. To process the data, the diffraction patterns must first be indexed, equivalent to determining the orientation of each crystal. A novel automatic indexing algorithm is presented, which in tests usually gives significantly higher indexing rates than alternative programs currently available for this task. The algorithm does not require prior knowledge of the lattice parameters but can make use of that information if provided, and also allows indexing of diffraction patterns generated by several crystals in the beam. Cases with a small number of Bragg spots per pattern appear to particularly benefit from the new approach. The algorithm has been implemented and optimized for fast execution, making it suitable for real-time feedback during serial crystallography experiments. It is implemented in an open-source C++ library and distributed under the LGPLv3 licence. An interface to it has been added to the CrystFEL software suite.
Subjects
indexing
XGANDALF
CrystFEL
multiple lattices
serial crystallography
DDC Class
530: Physik
More Funding Information
German Ministry of Education and Research (BMBF)
German Research Foundation (DFG) Gottfried Wilhelm Leibniz Program and Clusters of Excellence `Center for Ultrafast Imaging
Advanced Imaging of Matter
German Research Foundation (DFG) Gottfried Wilhelm Leibniz Program and Clusters of Excellence `Center for Ultrafast Imaging
Advanced Imaging of Matter
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