2015
DOI: 10.1364/oe.23.028459
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Accurate determination of segmented X-ray detector geometry

Abstract: Recent advances in X-ray detector technology have resulted in the introduction of segmented detectors composed of many small detector modules tiled together to cover a large detection area. Due to mechanical tolerances and the desire to be able to change the module layout to suit the needs of different experiments, the pixels on each module might not align perfectly on a regular grid. Several detectors are designed to permit detector sub-regions (or modules) to be moved relative to each other for different exp… Show more

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Cited by 77 publications
(64 citation statements)
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“…The peak location information from CHEETAH (30) was used for the indexing of individual, randomly oriented crystal diffraction patterns using FFT-based indexing approaches. The detector geometry was refined using an automated algorithm to match found and predicted peaks to subpixel accuracy (31). The integration step was performed using a built-in Monte-Carlo algorithm to estimate accurate structure factors from thousands of individually measured Bragg peaks (32).…”
Section: Methodsmentioning
confidence: 99%
“…The peak location information from CHEETAH (30) was used for the indexing of individual, randomly oriented crystal diffraction patterns using FFT-based indexing approaches. The detector geometry was refined using an automated algorithm to match found and predicted peaks to subpixel accuracy (31). The integration step was performed using a built-in Monte-Carlo algorithm to estimate accurate structure factors from thousands of individually measured Bragg peaks (32).…”
Section: Methodsmentioning
confidence: 99%
“…Various parameters affecting observed intensities have been actively researched in recent years and several enhanced algorithms that improved the accuracy of obtained structure factors emerged. Those include refinement of the detector geometry [93], inclusion of linear and Debye-Waller scaling terms [94, 95], refinement of crystal parameters before integration [96, 97] and estimation of reflection partialities and post-refinement [94, 98]. …”
Section: Data Processing Developmentsmentioning
confidence: 99%
“…The information of peak positions was used for the indexing of individual, randomly oriented crystal diffraction patterns using FFT-based indexing approaches. The detector geometry was refined using an automated algorithm to match found and predicted peaks to subpixel accuracy (Yefanov et al 2015). The integration step was performed using a built-in Monte Carlo algorithm to estimate accurate structure factors from thousands of individually measured Bragg peaks (Kirian et al 2010).…”
Section: Data Collection and Analysis For Sfx Studies At Lclsmentioning
confidence: 99%