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A Bayesian Monte Ca...
A Bayesian Monte Carlo method for fission yield covariance information
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- Rochman, D. (author)
- Paul Scherrer Inst, Reactor Phys & Syst Behav Lab, Villigen, Switzerland.
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- Leray, O. (author)
- Paul Scherrer Inst, Reactor Phys & Syst Behav Lab, Villigen, Switzerland.
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- Vasiliev, A. (author)
- Paul Scherrer Inst, Reactor Phys & Syst Behav Lab, Villigen, Switzerland.
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- Ferroukhi, H. (author)
- Paul Scherrer Inst, Reactor Phys & Syst Behav Lab, Villigen, Switzerland.
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- Koning, Arjan J. (author)
- Uppsala universitet,Tillämpad kärnfysik,IAEA, Nucl Data Sect, Vienna, Austria.
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- Fleming, M. (author)
- Culham Ctr Fus Energy, Abingdon, Oxon, England.
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- Sublet, J. C. (author)
- Culham Ctr Fus Energy, Abingdon, Oxon, England.
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Paul Scherrer Inst, Reactor Phys & Syst Behav Lab, Villigen, Switzerland Tillämpad kärnfysik (creator_code:org_t)
- Elsevier BV, 2016
- 2016
- English.
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In: Annals of Nuclear Energy. - : Elsevier BV. - 0306-4549 .- 1873-2100. ; 95, s. 125-134
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The present work proposes a Bayesian method to combine theoretical fission yields with a set of reference data. These two sources of information are merged using a Monte Carlo process, and leads to a so-called Bayesian Monte Carlo update. Examples are presented for the independent fission yields of four major actinides, using the GEF code as a source of theoretical calculations and an evaluated library of fission yields for the reference data. The impact of the updated fission yields and their covariances is shown for two distinct applications: a UO2 pincell with burn-up up to 40 GWD/tHM and decay heat calculations of a thermal neutron pulse on U-235 and Pu-239.
Subject headings
- NATURVETENSKAP -- Fysik -- Subatomär fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Subatomic Physics (hsv//eng)
Keyword
- Fission yields
- GEF
- Bayesian update
- Burn-up
Publication and Content Type
- ref (subject category)
- art (subject category)
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