HAT : a high-energy surface X-ray diffraction analysis toolkit
(2023) In Journal of Applied Crystallography 56. p.312-321- Abstract
This work introduces the high-energy surface X-ray diffraction analysis toolkit (HAT), an open-source cross-platform software package written in Python to allow the extraction and processing of high-energy surface X-ray diffraction (HESXRD) data sets. Thousands of large-area detector images are collected in a single HESXRD scan, corresponding to billions of pixels and hence reciprocal space positions. HAT is an optimized reciprocal space binner that implements a graphical user interface to allow the easy and interactive exploration of HESXRD data sets. Regions of reciprocal space can be selected with movable and resizable masks in multiple views and are projected onto different axes to allow the creation of reciprocal space maps and the... (More)
This work introduces the high-energy surface X-ray diffraction analysis toolkit (HAT), an open-source cross-platform software package written in Python to allow the extraction and processing of high-energy surface X-ray diffraction (HESXRD) data sets. Thousands of large-area detector images are collected in a single HESXRD scan, corresponding to billions of pixels and hence reciprocal space positions. HAT is an optimized reciprocal space binner that implements a graphical user interface to allow the easy and interactive exploration of HESXRD data sets. Regions of reciprocal space can be selected with movable and resizable masks in multiple views and are projected onto different axes to allow the creation of reciprocal space maps and the extraction of crystal truncation rods. Current and future versions of HAT can be downloaded and used free of charge.
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- author
- Harlow, Gary S. LU ; Pfaff, Sebastian LU ; Abbondanza, Giuseppe LU ; Hegedüs, Zoltan ; Lienert, Ulrich ; Lundgren, Edvin LU and Brand, H.
- organization
- publishing date
- 2023-02-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- crystal truncation rods, data analysis, data reduction, high-energy surface X-ray diffraction, reciprocal space mapping
- in
- Journal of Applied Crystallography
- volume
- 56
- pages
- 10 pages
- publisher
- International Union of Crystallography
- external identifiers
-
- scopus:85149423858
- pmid:36777142
- ISSN
- 0021-8898
- DOI
- 10.1107/S1600576723000092
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023 Gary Harlow et al.
- id
- 8d301142-8814-44d2-87c0-307f4261f6b9
- date added to LUP
- 2024-01-12 14:56:51
- date last changed
- 2025-02-02 14:50:42
@article{8d301142-8814-44d2-87c0-307f4261f6b9, abstract = {{<p>This work introduces the high-energy surface X-ray diffraction analysis toolkit (HAT), an open-source cross-platform software package written in Python to allow the extraction and processing of high-energy surface X-ray diffraction (HESXRD) data sets. Thousands of large-area detector images are collected in a single HESXRD scan, corresponding to billions of pixels and hence reciprocal space positions. HAT is an optimized reciprocal space binner that implements a graphical user interface to allow the easy and interactive exploration of HESXRD data sets. Regions of reciprocal space can be selected with movable and resizable masks in multiple views and are projected onto different axes to allow the creation of reciprocal space maps and the extraction of crystal truncation rods. Current and future versions of HAT can be downloaded and used free of charge.</p>}}, author = {{Harlow, Gary S. and Pfaff, Sebastian and Abbondanza, Giuseppe and Hegedüs, Zoltan and Lienert, Ulrich and Lundgren, Edvin and Brand, H.}}, issn = {{0021-8898}}, keywords = {{crystal truncation rods; data analysis; data reduction; high-energy surface X-ray diffraction; reciprocal space mapping}}, language = {{eng}}, month = {{02}}, pages = {{312--321}}, publisher = {{International Union of Crystallography}}, series = {{Journal of Applied Crystallography}}, title = {{HAT : a high-energy surface X-ray diffraction analysis toolkit}}, url = {{http://dx.doi.org/10.1107/S1600576723000092}}, doi = {{10.1107/S1600576723000092}}, volume = {{56}}, year = {{2023}}, }