Missouri University of Science and Technology
Characterization of the Acquisition Parameters of a Submersible Gamma-Ray Computed Tomography System
Abstract
dc:description.abstract<p>"The purpose of this work is to study a component of a submersible gamma-ray computed tomography (CT) system used in the non-destructive testing of irradiated nuclear fuels. The first section of this study proposes two acceleration approaches for rapidly modeling a transmission-type gamma-ray tomography system. The first relies on Monte Carlo simulations with a monodirectionally biased source sampled from a sub-volume of the whole source volume. This method estimates the real count rate using analytical correction factors. The second way of acceleration is based on deterministic calculations that use the Beer-Lambert law and detector response characteristics. It shows that both results qualitatively agree with the analog result and can cut computational costs by several orders of magnitude. The second section of this study presents a novel approach for differentiating low-intensity, high-energy gamma rays in high-intensity, lower-energy backgrounds, particularly when the source is in a substantially scattering medium. Using a fast plastic scintillator and pulse-height discrimination, high-energy rays from low-activity <sup>60</sup>Co are differentiated from lower-energy rays of high-activity <sup>137</sup>Cs. By optimizing the discriminator voltage, the count time required to reach the limit of quantification (LOQ) is significantly reduced. This cost-effective solution utilizes commonly available lab equipment and improves detection efficiency"-- Abstract, p. iv</p>
Degree
thesis:*- Name thesis:degree_name
- Ph. D. in Nuclear Engineering
- Grantor
- Missouri University of Science and Technology
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Jin, Zhongmin
Subjects
dc:subject × 8Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarsmine.mst.edu/doctoral_dissertations/3292
- OAI identifier oai:identifier
- oai:scholarsmine.mst.edu:doctoral_dissertations-4297