Diffuseness effect and radial basis function network for optimizing a decay calculations

• 来源期刊: 中国物理C（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: NUCLEAR PHYSICS
• 页码范围: 459-466
• 页数: 8页
• 语种: 英文
• DOI: 10.1088/1674-1137/abcc5c

摘要

A radial basis function network(RBFN)approach is adopted for the first time to optimize the calcula-tion of a decay half-life in the generalized liquid drop model(GLDM),while concurrently incorporating the surface diffuseness effect.The calculations presented herein agree closely with the experimental half-lives for 68 super-heavy nuclei(SHN),achieving a remarkable reduction of 40％in the root-mean-square(rms)deviations of half-lives.Furthermore,using the RBFN method,the half-lives for four SHN isotopes,252-288Rf,272-310Fl,286-316119,and292.318120,are predicted using the improved GLDM with the diffuseness correction and the decay energies from WS4 and FRDM as inputs.Therefore,we conclude that the diffuseness effect should be embodied in the proximity en-ergy.Moreover,increased application of neural network methods in nuclear reaction studies is encouraged.