Computationally-generated nuclear forensic characteristics of early production reactors with an emphasis on sensitivity and uncertainty. (December 2017)
- Record Type:
- Journal Article
- Title:
- Computationally-generated nuclear forensic characteristics of early production reactors with an emphasis on sensitivity and uncertainty. (December 2017)
- Main Title:
- Computationally-generated nuclear forensic characteristics of early production reactors with an emphasis on sensitivity and uncertainty
- Authors:
- Redd, Evan M.
Sjoden, Glenn
Erickson, Anna - Abstract:
- Highlights: X-10 reactor is used as a case study for nuclear forensic signatures. S/U analysis is conducted to derive statistically relevant markers. Computationally-generated signatures aid with proliferation pathway identification. Highest uncertainty in total plutonium production originates from 238 Pu and 242 Pu. 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.
- Is Part Of:
- Annals of nuclear energy. Volume 110(2017:Dec.)
- Journal:
- Annals of nuclear energy
- Issue:
- Volume 110(2017:Dec.)
- Issue Display:
- Volume 110 (2017)
- Year:
- 2017
- Volume:
- 110
- Issue Sort Value:
- 2017-0110-0000-0000
- Page Start:
- 941
- Page End:
- 947
- Publication Date:
- 2017-12
- Subjects:
- Nuclear forensics -- Sensitivity and uncertainty -- Nuclear forensic signatures -- Computationally-derived signatures
Nuclear energy -- Periodicals
Nuclear engineering -- Periodicals
621.4805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064549 ↗
http://catalog.hathitrust.org/api/volumes/oclc/2243298.html ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.anucene.2017.07.032 ↗
- Languages:
- English
- ISSNs:
- 0306-4549
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1043.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4609.xml