An impact of Jacques Raynal on nuclear data evaluation

2021 ◽  
Vol 57 (6) ◽  
Author(s):  
R. Capote ◽  
J. M. Quesada
Keyword(s):  
Nuclear Data ◽  
Data Evaluation

scholarly journals Present Status and Activities of High Energy Nuclear Data Evaluation. For Future Radiation Utilization Facilities.

1998 ◽  
Vol 40 (1) ◽  
pp. 3-28
Author(s):  
Tokio FUKAHORI ◽  
Takehiko MUKAIYAMA ◽  
Hiroshi MAEKAWA ◽  
Yukio OYAMA ◽  
Satoshi CHIBA ◽  
...  
Keyword(s):  
Present Status ◽  
Nuclear Data ◽  
High Energy ◽  
Data Evaluation

TANDEM: a mutual cooperation effort for transactinide nuclear data evaluation and measurement

2015 ◽  
Vol 304 (3) ◽  
pp. 1359-1363 ◽  
Author(s):  
M. Rossbach ◽  
C. Genreith ◽  
T. Randriamalala ◽  
E. Mauerhofer ◽  
Zs. Revay ◽  
...  
Keyword(s):  
Nuclear Data ◽  
Data Evaluation ◽  
Mutual Cooperation

scholarly journals New paradigm for nuclear data evaluation

2020 ◽  
Vol 239 ◽  
pp. 11001
Author(s):  
M. Herman ◽  
D.A. Brown ◽  
M.B. Chadwick ◽  
W. Haeck ◽  
T. Kawano ◽  
...  
Keyword(s):  
Nuclear Reaction ◽  
Error Compensation ◽  
Nuclear Data ◽  
Covariance Matrices ◽  
Data Evaluation ◽  
New Paradigm ◽  
New Approach ◽  
Reaction Data ◽  
Cross Correlations

A new paradigm for nuclear reaction data evaluations is proposed to produce adjusted libraries that take into account integral experiments on the same footing as the differential ones. These evaluations will provide comprehensive covariance matrices including cross-correlations among different materials/reactions that are critical for realistic propagation of data uncertainties to integral quantities. The new approach should also reduce error compensation issues and facilitate updating of the library to account for new or corrected experiments and advances in reaction modeling.

Application of Machine Learning to Nuclear Data Evaluation

2020 ◽  
Author(s):  
L. Bernstein ◽  
M. Fratoni ◽  
P. Vicente-Valdez
Keyword(s):  
Machine Learning ◽  
Nuclear Data ◽  
Data Evaluation
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