The calibration and characterization of a research x-ray unit [electronic resource].
- Washington, D.C. : United States. Dept. of Energy, 1996. and Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- 80 pages : digital, PDF file
- Additional Creators:
- Oak Ridge National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- The proper characterization of an X-ray unit is necessary for the utilization of the source as a dosimetry calibration standard. Upon calibration, the X-ray unit can be used for X-ray calibrations of survey, diagnostic, and reference-class, instruments and for X-ray irradiations of personnel dosimeters. It was the goal of this research to provide the Radiation Calibration Laboratory at Oak Ridge National Laboratory with a characterized research X-ray unit that could be used in reference dosimetry. The energy spectra were characterized by performing half value layer measurements and by performing a spectral analysis. Two spectral reconstruction techniques were investigated and compared. One involved using a previously determined detector response matrix and a backstripping technique. The other reconstruction technique was developed for this research using neural computing. A neural network was designed and trained to reconstruct measured X-ray spectra from data collected with a high- purity germanium spectroscopy system. Five X-ray beams were successfully characterized and found to replicate the ANSI N13.11 and the National Institute of Standards Technology X-ray beam codes. As a result, these prepared X-ray beams have been used for reference dosimetry. It has been shown that a neural network can be used as a spectral reconstruction technique, which contributes less error to the lower energy portion of the spectrum than other techniques.
- Published through SciTech Connect., 06/01/1996., "ornl/tm--12652", "DE96012445", and Johnson, C.M.
- Funding Information:
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