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