Advances in Nuclear Data Evaluation Theory for NCSP [Slides] Article Swipe
Goran Arbanas
,
Jesse Brown
,
Chris Chapman
,
K. H. Guber
,
Andrew Holcomb
,
J. McDonnell
,
Marco Pigni
,
Dorothea Wiarda
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2172/1886363
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2172/1886363
The generalized form of the Bayes’ Theorem improves UQ for NCSP of differential and/or integral data evaluations and of applications. It is being implemented in an API for use by SCALE, SAMMY, etc. Extended R-matrix formalism improves evaluations of RRR including direct reactions, direct capture, and the Reich-Moore approx., doorway state reactions with applications to RPI data on lead isotopes. Extended R-Matrix formalism will be implemented into SAMMY post modernization.
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Advances in Nuclear Data Evaluation Theory for NCSP [Slides]Work title
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Goran Arbanas, Jesse Brown, Chris Chapman, K. H. Guber, Andrew Holcomb, J. McDonnell, Marco Pigni, Dorothea WiardaList of authors in order
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| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.04554657 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |