Covariance evaluation of neutron cross sections in CENDL
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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/07/epjconf_cw2023_00029.pdf |
| _version_ | 1797850683062353920 |
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| author | Xu Ruirui Ge Zhigang Tian Yuan Tao Xi Jin Yongli Zhang Yue Wang Duan Sun Xiaodong Zhang Zhi Wang Jimin Wang Dongdong Wei Zihao |
| author_facet | Xu Ruirui Ge Zhigang Tian Yuan Tao Xi Jin Yongli Zhang Yue Wang Duan Sun Xiaodong Zhang Zhi Wang Jimin Wang Dongdong Wei Zihao |
| author_sort | Xu Ruirui |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T19:05:23Z |
| format | Article |
| id | doaj.art-0406222d626f4056be3779d8dc142e2a |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-04-09T19:05:23Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-0406222d626f4056be3779d8dc142e2a2023-04-07T09:02:21ZengEDP SciencesEPJ Web of Conferences2100-014X2023-01-012810002910.1051/epjconf/202328100029epjconf_cw2023_00029Covariance evaluation of neutron cross sections in CENDLXu Ruirui0Ge Zhigang1Tian Yuan2Tao Xi3Jin Yongli4Zhang Yue5Wang Duan6Sun Xiaodong7Zhang Zhi8Wang Jimin9Wang Dongdong10Wei Zihao11China Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyChina Nuclear Data Centre, China Institute of Atomic EnergyGraduate School of China National Nuclear Corporation, China Industry CollegeThe 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.https://www.epj-conferences.org/articles/epjconf/pdf/2023/07/epjconf_cw2023_00029.pdf |
| spellingShingle | Xu Ruirui Ge Zhigang Tian Yuan Tao Xi Jin Yongli Zhang Yue Wang Duan Sun Xiaodong Zhang Zhi Wang Jimin Wang Dongdong Wei Zihao Covariance evaluation of neutron cross sections in CENDL EPJ Web of Conferences |
| title | Covariance evaluation of neutron cross sections in CENDL |
| title_full | Covariance evaluation of neutron cross sections in CENDL |
| title_fullStr | Covariance evaluation of neutron cross sections in CENDL |
| title_full_unstemmed | Covariance evaluation of neutron cross sections in CENDL |
| title_short | Covariance evaluation of neutron cross sections in CENDL |
| title_sort | covariance evaluation of neutron cross sections in cendl |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2023/07/epjconf_cw2023_00029.pdf |
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