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Computationally-generated nuclear forensic characteristics of early production reactors with an emphasis on sensitivity and uncertainty.

Authors :
Redd, Evan M.
Sjoden, Glenn
Erickson, Anna
Source :
Annals of Nuclear Energy. Dec2017, Vol. 110, p941-947. 7p.
Publication Year :
2017

Abstract

With nuclear technology and analysis advancements, site access restrictions, and ban on nuclear testing, computationally-generated nuclear forensic signatures are becoming more important in gaining knowledge to a reclusive country’s weapon material production capabilities. In particular, graphite-moderated reactors provide an appropriate case study for isotopics relevant in Pu production in a clandestine nuclear program due to the ease of design and low thermal output. We study the production characteristics of the X-10 reactor with a goal to develop statistically-relevant nuclear forensic signatures from early Pu production. In X-10 reactor, a flat flux gradient and low burnup produce exceptionally pure Pu as evident by the 240 Pu/ 239 Pu ratio. However, these design aspects also make determining reactor zone attribution, done with the 242 Pu/ 240 Pu ratio, uncertain. Alternatively, the same ratios produce statistically differentiable results between Manhattan Project and post-Manhattan Project reactor configurations, allowing for attribution conclusions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03064549
Volume :
110
Database :
Academic Search Index
Journal :
Annals of Nuclear Energy
Publication Type :
Academic Journal
Accession number :
125116537
Full Text :
https://doi.org/10.1016/j.anucene.2017.07.032