Computer‐assisted area detector masking. (30th January 2017)

• Record Type: Journal Article
• Authors: Wright, Christopher J.; Zhou, Xiao-Dong
• Is Part Of: Journal of synchrotron radiation. Volume 24:Part 2(2017)
• Page Start: 506
• Page End: 508
• Publication Date: 2017-01-30
• Subjects: masking -- area detector -- Python; Synchrotron radiation -- Periodicals; Free electron lasers -- Periodicals; 539.73505
• DOI: 10.1107/S1600577517000157
• Languages: English
• ISSNs: 0909-0495

Abstract

Abstract : A novel system for automatically masking two‐dimensional area detector data is presented. Abstract : Area detectors have become the predominant type of detector for the rapid acquisition of X‐ray diffraction, small‐angle scattering and total scattering. These detectors record the scattering for a large area, giving each shot good statistical significance to the resulting scattered intensity I ( Q ) pattern. However, many of these detectors have pixel level defects, which cause error in the resulting one‐dimensional patterns. In this work, new software to automatically find and mask these dead pixels and other defects is presented. This algorithm is benchmarked with both ideal simulated and experimental datasets.