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An eight-position capillary sample spinning stage for the diffractometer at BL20B at the Photon Factory
D C Creagh1, G J Foran, D J Cookson
1Information Sciences and Engineering, University of Canberra, Belconnen, ACT 2616, Australia.
Journal of Synchrotron Radiation
|July 21, 2004
Summary
A new eight-position sample spinning stage enhances powder diffraction experiments using the versatile vacuum diffractometer (BIGDIFF). This innovation improves efficiency and enables absolute calibration of angle and intensity scales.
Area of Science:
- Crystallography
- Materials Science
- Instrumentation
Background:
- The versatile vacuum diffractometer (BIGDIFF) at BL20B is frequently employed for powder diffraction analysis.
- Samples are typically mounted in capillaries, and diffraction patterns are captured using multiple imaging plates.
Purpose of the Study:
- To develop and implement an eight-position capillary sample spinning stage for BIGDIFF.
- To enhance the efficiency and calibration capabilities of powder diffraction experiments.
Main Methods:
- Integration of a novel eight-position spinning stage with the BIGDIFF instrument.
- Utilizing imaging plates and a movable cassette behind a Weissenberg screen to record multiple diffraction patterns.
- Recording diffraction patterns of standards for calibration purposes.
Main Results:
- The developed spinning stage allows for the efficient recording of multiple diffraction patterns from a single sample loading.
- The system facilitates the absolute calibration of both the diffractometer's angle scale and the imaging plates' intensity scales using standards.
- Significant time savings are achieved by reducing the need for repeated vacuum chamber pump-down cycles.
Conclusions:
- The eight-position capillary sample spinning stage is a valuable upgrade for the BIGDIFF instrument.
- This new system enhances experimental efficiency and accuracy in powder diffraction studies.
- The ability to perform absolute calibration improves the reliability and comparability of diffraction data.