Covariance evaluation of neutron cross sections in CENDL
| Autor: | Xu Ruirui, Ge Zhigang, Tian Yuan, Tao Xi, Jin Yongli, Zhang Yue, Wang Duan, Sun Xiaodong, Zhang Zhi, Wang Jimin, Wang Dongdong, Wei Zihao |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | EPJ Web of Conferences, Vol 281, p 00029 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2100-014X 20232810 |
| DOI: | 10.1051/epjconf/202328100029 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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