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dc.contributor.advisorAreg Danagoulian.en_US
dc.contributor.authorLee, Hin Yeung.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Nuclear Science and Engineering.en_US
dc.date.accessioned2020-09-15T21:51:40Z
dc.date.available2020-09-15T21:51:40Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127312
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 151-161).en_US
dc.description.abstractSmuggling 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.abstractBy 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.abstractIn 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.statementofresponsibilityby Hin Yeung Lee.en_US
dc.format.extent161 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectNuclear Science and Engineering.en_US
dc.titleMultiple Monoenergetic Gamma Radiography (MMGR) using compact superconducting cyclotronen_US
dc.title.alternativeMultiple Monoenergetic Gamma Radiography using compact superconducting cyclotronen_US
dc.title.alternativeMMGR using compact superconducting cyclotronen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.identifier.oclc1191905349en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Nuclear Science and Engineeringen_US
dspace.imported2020-09-15T21:51:39Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentNucEngen_US


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