EPJ Web Conf.
Volume 281, 20235th International Workshop on Nuclear Data Covariances (CW2022)
|Number of page(s)||5|
|Published online||29 March 2023|
Covariance evaluation of neutron cross sections in CENDL
1 China Nuclear Data Centre, China Institute of Atomic Energy, 102413 P.O.Box, Beijing, China
2 China Institute of Atomic Energy, 102413 P.O.Box, Beijing, China
3 Graduate School of China National Nuclear Corporation, China Industry College, 102413 P.O.Box, Beijing, China
* Corresponding author: firstname.lastname@example.org
Published online: 29 March 2023
The covariance evaluation for neutron cross sections in CENDL is briefly introduced in this work. The methodology for evaluation contains the nuclear reaction theoretical model-dependent approach and the non-model dependent one according to the amount of experimental data. Both approaches are based on the Generalized Least-Squares (GLSQ) method. To obtain more reliable uncertainties from experimental measurement, the analysis of the sources of experimental uncertainties (ASEU) is used rigorously in the evaluation. Moreover, machine learning (ML) methods which can deal with the data mining with a more automatic way are employed to evaluate the cross sections in a large-scale nuclear mass region to compensate the uncertainties on some nuclides and reactions, lack of experimental data for, e.g., unstable nuclei and fission products. The covariance files for 70 fission product nuclei are obtained through the model-dependent method in CENDL-3.2, and the covariances for U and Pu isotopes have also been finished with high fidelity, which will be released as part of the next CENDL.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.