dc.contributor.advisor | Areg Danagoulian. | en_US |
dc.contributor.author | Lee, Hin Yeung. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. | en_US |
dc.date.accessioned | 2020-09-15T21:51:40Z | |
dc.date.available | 2020-09-15T21:51:40Z | |
dc.date.copyright | 2020 | en_US |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/127312 | |
dc.description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, May, 2020 | en_US |
dc.description | Cataloged from the official PDF of thesis. | en_US |
dc.description | Includes bibliographical references (pages 151-161). | en_US |
dc.description.abstract | Smuggling of special nuclear materials (SNM) and nuclear devices through borders and ports of entry constitutes a major risk to global security. Reliable technologies are imperative for screening the flow of commerce for the presence of high-Z materials such as uranium and plutonium. This thesis presents an experimental proof-of-concept system using low energy (p, p2) nuclear reactions to generate monoenergetic photons to provide a means to measure the areal density and the effective atomic number (Zeff) of an object with accuracy that surpasses existing interrogation methods and other major deployed systems. This radiography system was designed using an ION-12SC compact superconducting 12 MeV proton cyclotron. Using a specially designed hybrid graphite water target, monoenergetic photons were generated at 4.4, 6.1, 6.9, and 7.1 MeV from (p, p2) nuclear reactions. | en_US |
dc.description.abstract | By performing GEANT4 simulations and numerical integration on existing cross sections, the gamma yield from MMGR are shown to be comparable to the X-ray yield from a bremsstrahlung-based system, with the advantage of lower radiation dose using MMGR. In a series of MMGR experiments using 4.4, 6.1, 6.9, and 7.1 MeV gammas, the author gamma transmission spectra on a variety of homogeneous (Z from 13-92) and heterogeneous mock cargoes. With the newly developed reconstruction algorithm, the author accurately predicted the areal density and Zeff of the experimental cargoes with an average Zeff reconstruction accuracy of 3.7 and an uncertainty of 6.2. The experimental results were also used to perform extrapolation and performance estimations for a future theoretical deployable system with higher beam current and proton energy for improved reconstruction precision. | en_US |
dc.description.abstract | In addition, a penetration study following the ANSI N42.46 standard was performed, demonstrating a maximum penetration thickness of 45 cm with a hypothetical beam current (14 [mu]A) and scanning speed (4 cm/s). In conclusion, MMGR using compact superconducting cyclotron was demonstrated to be a low-dose and mobile method to screen commercial cargoes with high material specificity, provided a means of distinguishing benign materials from SNM to prevent the smuggling of SNM and improve overall global security. | en_US |
dc.description.statementofresponsibility | by Hin Yeung Lee. | en_US |
dc.format.extent | 161 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Nuclear Science and Engineering. | en_US |
dc.title | Multiple Monoenergetic Gamma Radiography (MMGR) using compact superconducting cyclotron | en_US |
dc.title.alternative | Multiple Monoenergetic Gamma Radiography using compact superconducting cyclotron | en_US |
dc.title.alternative | MMGR using compact superconducting cyclotron | en_US |
dc.type | Thesis | en_US |
dc.description.degree | Ph. D. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering | en_US |
dc.identifier.oclc | 1191905349 | en_US |
dc.description.collection | Ph.D. Massachusetts Institute of Technology, Department of Nuclear Science and Engineering | en_US |
dspace.imported | 2020-09-15T21:51:39Z | en_US |
mit.thesis.degree | Doctoral | en_US |
mit.thesis.department | NucEng | en_US |