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Fission yield covar...
Fission yield covariances for JEFF : A Bayesian Monte Carlo method
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- Leray, Olivier (författare)
- Paul Scherrer Inst, Villigen, Switzerland
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- Rochman, Dimitri (författare)
- Paul Scherrer Inst, Villigen, Switzerland
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- Fleming, Michael (författare)
- United Kingdom Atom Energy Author, Abingdon, Oxon, England
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- Sublet, Jean-Christophe (författare)
- United Kingdom Atom Energy Author, Abingdon, Oxon, England
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- Koning, Arjan (författare)
- Uppsala universitet,Tillämpad kärnfysik,IAEA, Nucl Data Sect, Vienna, Austria
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- Vasiliev, Alexander (författare)
- Paul Scherrer Inst, Villigen, Switzerland
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- Ferroukhi, Hakim (författare)
- Paul Scherrer Inst, Villigen, Switzerland
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(creator_code:org_t)
- 2017-09-13
- 2017
- Engelska.
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Ingår i: ND 2016. - Les Ulis : EDP Sciences. - 9782759890200
- Relaterad länk:
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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https://www.epj-conf...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The JEFF library does not contain fission yield covariances, but simply best estimates and uncertainties. This situation is not unique as all libraries are facing this deficiency, firstly due to the lack of a defined format. An alternative approach is to provide a set of random fission yields, themselves reflecting covariance information. In this work, these random files are obtained combining the information from the JEFF library (fission yields and uncertainties) and the theoretical knowledge from the GEF code. Examples of this method are presented for the main actinides together with their impacts on simple burn-up and decay heat calculations.
Ämnesord
- NATURVETENSKAP -- Fysik -- Subatomär fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Subatomic Physics (hsv//eng)
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