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Nuclear Data Uncertainty Propagation in Complex Fusion Geometries
- Kos, Bor (author)
-
- Sjöstrand, Henrik, 1978- (author)
- Uppsala universitet,Tillämpad kärnfysik,reaktion
- Kodeli, Ivan A. (author)
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- Contributors, J E T (author)
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- (creator_code:org_t)
- 2020-12-02
- 2020
- English.
- In: Journal of Nuclear Engineering. - : MDPI. - 2673-4362. ; 1:1, s. 63-69
- Journal article (peer-reviewed)
Abstract
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- The ASUSD program package was designed to automate and simplify the process of deterministic nuclear data sensitivity and uncertainty quantification. The program package couples Denovo, a discrete ordinate 3D transport solver, as part of ADVANTG and SUSD3D, a deterministic first order perturbation theory based Sensitivity/Uncertainty code, using several auxiliary programs used for input data preparation and post processing. Because of the automation employed in ASUSD, it is useful for Sensitivity/Uncertainty analysis of complex fusion geometries. In this paper, ASUSD was used to quantify uncertainties in the JET KN2 irradiation position. The results were compared to previously obtained probabilistic-based uncertainties determined using TALYS-based random nuclear data samples and MCNP in a Total Monte Carlo computation scheme. Results of the two approaches, deterministic and probabilistic, to nuclear data uncertainty propagation are compared and discussed. ASUSD was also used to perform preliminary Sensitivity/Uncertainty (S/U) analyses of three JET3-NEXP streaming benchmark experimental positions (A1, A4 and A7).
Keyword
- ASUSD
- JET
- nuclear data
- sensitivity/uncertainty
- TMC
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- ref (subject category)
- art (subject category)
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