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Updated: May 30, 2026
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Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
Published on: June 19, 2018
Firmware lower-level discrimination and compression applied to streaming x-ray photon correlation spectroscopy
T Madden1, P Fernandez, P Jemian
1X-Ray Science Division, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, Illinois 60439, USA. tmadden@aps.anl.gov
The Review of Scientific Instruments
|August 3, 2011
Summary
A new data acquisition system enables real-time processing for X-ray Photon Correlation Spectroscopy (XPCS) data. This system efficiently handles fast charge-coupled device (CCD) detector streams, achieving high compression rates.
Area of Science:
- X-ray Photon Correlation Spectroscopy (XPCS)
- Data Acquisition Systems
- Detector Physics
Background:
- XPCS generates large, high-speed data streams from charge-coupled device (CCD) detectors.
- Real-time processing is crucial for efficient analysis of dynamic processes.
- On-the-fly data reduction minimizes storage and computational requirements.
Purpose of the Study:
- To develop and present a novel data acquisition system for XPCS.
- To implement on-the-fly background subtraction and data compression.
- To enable high-throughput processing of data from fast CCD area detectors.
Main Methods:
- Utilized a commercial frame grabber with an integrated field-programmable gate array (FPGA).
- Developed algorithms for real-time background subtraction and lower-level discrimination compression.
- Integrated the system with a fast CCD area detector for streaming data acquisition.
Main Results:
- The system continuously processes at least 60 CCD frames per second (1024x1024 pixels).
- Achieved a maximum data compression factor of approximately 95%.
- Successfully handled data with up to 15,000 photon hits per frame.
Conclusions:
- The developed system significantly enhances the efficiency of XPCS data processing.
- On-the-fly reduction techniques are effective for managing high-volume spectroscopic data.
- The system provides a robust solution for real-time analysis of dynamic experiments.
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