Selection of abnormal trends in nuclearβ-decay half-lives by neural network and exploration of the physical mechanisms  

作　　者：Peng Li Zhong-Ming Niu Yi-Fei Niu 

机构地区：[1]School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China [2]Frontiers Science Center for Rare Isotopes,Lanzhou University,Lanzhou 730000,China [3]School of Physics and Optoelectronic Engineering,Anhui University,Hefei 230601,China

出　　处：《Nuclear Science and Techniques》2025年第3期134-145,共12页核技术(英文)

基　　金：supported by the‘Young Scientist Scheme’of the National Key R&D Program of China(No.2021YFA1601500);National Natural Science Foundation of China(Nos.12075104,12375109,11875070,and 11935001);Anhui Project(Z010118169);Key Research Foundation of the Education Ministry of Anhui Province(No.2023AH050095)。

摘　　要：Nuclearβ-decay,a typical decay process for unstable nuclei,is a key mechanism for producing heavy elements in the Universe.In this study,neural networks were employed to predictβ-decay half-lives and,for the first time,to identify abnormal trends in nuclearβ-decay half-lives based on deviations between experimental values and the predictions of neural networks.Nuclei exhibiting anomalous increases,abrupt peaks,sharp decreases,abnormal odd-even oscillations,and excessively large experimental errors in theirβ-decay half-lives,which deviate from systematic patterns,were identified through deviations.These anomalous phenomena may be associated with shell effects,shape coexistence,or discrepancies in the experimental data.The discovery and analysis of these abnormal nuclei provide a valuable reference for further investigations using sophisticated microscopic theories,potentially offering insights into new physics through studies of nuclearβ-decay half-lives.

关 键 词：β-decay half-lives Neural network Abnormal nuclei 

分 类 号：O57[理学—粒子物理与原子核物理]