Use of Bayesian inference to estimate diversion likelihood in a PUREX facility

Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2011.

Bibliographic Details
Main Author: Rodewald, Oliver Russell
Other Authors: Michael W. Golay.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/76951
_version_ 1826204886942875648
author Rodewald, Oliver Russell
author2 Michael W. Golay.
author_facet Michael W. Golay.
Rodewald, Oliver Russell
author_sort Rodewald, Oliver Russell
collection MIT
description Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2011.
first_indexed 2024-09-23T13:02:38Z
format Thesis
id mit-1721.1/76951
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T13:02:38Z
publishDate 2013
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/769512019-04-10T23:23:05Z Use of Bayesian inference to estimate diversion likelihood in a PUREX facility Rodewald, Oliver Russell Michael W. Golay. Massachusetts Institute of Technology. Dept. of Nuclear Science and Engineering. Massachusetts Institute of Technology. Dept. of Nuclear Science and Engineering. Nuclear Science and Engineering. Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 66-67). Nuclear Fuel reprocessing is done today with the PUREX process, which has been demonstrated to work at industrial scales at several facilities around the world. Use of the PUREX process results in the creation of a stream of pure plutonium, which allows the process to be potentially used by a proliferator. Safeguards have been put in place by the IAEA and other agencies to guard against the possibility of diversion and misuse, but the cost of these safeguards and the intrusion into a facility they represent could cause a fuel reprocessing facility operator to consider foregoing standard safeguards in favor of diversion detection that is less intrusive. Use of subjective expertise in a Bayesian network offers a unique opportunity to monitor a fuel reprocessing facility while collecting limited information compared to traditional safeguards. This work focuses on the preliminary creation of a proof of concept Bayesian network and its application to a model nuclear fuel reprocessing facility. by Oliver Russell Rodewald. S.M.and S.B. 2013-02-14T15:31:26Z 2013-02-14T15:31:26Z 2011 2011 Thesis http://hdl.handle.net/1721.1/76951 824617723 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 117 p. application/pdf Massachusetts Institute of Technology
spellingShingle Nuclear Science and Engineering.
Rodewald, Oliver Russell
Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title_full Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title_fullStr Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title_full_unstemmed Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title_short Use of Bayesian inference to estimate diversion likelihood in a PUREX facility
title_sort use of bayesian inference to estimate diversion likelihood in a purex facility
topic Nuclear Science and Engineering.
url http://hdl.handle.net/1721.1/76951
work_keys_str_mv AT rodewaldoliverrussell useofbayesianinferencetoestimatediversionlikelihoodinapurexfacility