Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal
Alexander Bernthz Jensen1, Thorbjørn Erik Køppen Christensen1, Clemens Weninger2
1Department of Chemistry and iNANO, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark.
Journal of Synchrotron Radiation
|November 8, 2022
Summary
A new algorithm enables real-time data reduction of X-ray diffraction images, achieving high integration speeds for faster analysis of complex materials like bone implants.
Area of Science:
- Materials Science
- Biomaterials Engineering
- Analytical Chemistry
Background:
- Synchrotron facilities produce high-brilliance X-rays, necessitating faster data processing.
- Area detector speeds are increasing, creating a bottleneck in data reduction to 1D diffractograms.
Purpose of the Study:
- To develop and implement a real-time diffractogram integration algorithm.
- To achieve high-speed data reduction for X-ray diffraction (XRD) and X-ray fluorescence (XRF) data.
Main Methods:
- An efficient pixel-splitting and parallelization scheme was employed for algorithm development.
- The algorithm's performance was evaluated on 2D scanning XRD/XRF data from implant-bone interfaces.
Main Results:
- The integration algorithm achieves real-time processing on laptops and 10 kHz speeds on workstations.
- Performance is primarily limited by data transfer, decompression, and saving speeds, not computation.
Conclusions:
- The developed algorithm significantly accelerates X-ray diffraction data reduction.
- This advancement is crucial for analyzing dynamic processes, such as bone healing around implants.
