SGTools: a suite of tools for processing and analyzing large data sets from in situ X-ray scattering experiments----上海高等研究院

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SGTools: a suite of tools for processing and analyzing large data sets from in situ X-ray scattering experiments

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论文题目: SGTools: a suite of tools for processing and analyzing large data sets from in situ X-ray scattering experiments
作者: Zhao, Nie; Yang, Chunming; Bian, Fenggang; Guo, Daoyou; Ouyang, Xiaoping
刊名: JOURNAL OF APPLIED CRYSTALLOGRAPHY
出版年: 2022 卷: 55 文献号: 1600-5767
关键词:
Zhao, Nie; Yang, Chunming; Bian, Fenggang; Guo, Daoyou; Ouyang, Xiaoping
摘要:
In situ synchrotron small-angle X-ray scattering (SAXS) is a powerful tool for studying dynamic processes during material preparation and application. The processing and analysis of large data sets generated from in situ X-ray scattering experiments are often tedious and time consuming. However, data processing software for in situ experiments is relatively rare, especially for grazing-incidence small-angle X-ray scattering (GISAXS). This article presents an opensource software suite (SGTools) to perform data processing and analysis for SAXS and GISAXS experiments. The processing modules in this software include (i) raw data calibration and background correction; (ii) data reduction by multiple methods; (iii) animation generation and intensity mapping for in situ X-ray scattering experiments; and (iv) further data analysis for the sample with an order degree and interface correlation. This article provides the main features and framework of SGTools. The workflow of the software is also elucidated to allow users to develop new features. Three examples are demonstrated to illustrate the use of SGTools for dealing with SAXS and GISAXS data. Finally, the limitations and future features of the software are also discussed.

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中国科学院上海高等研究院