Configurational information entropy analysis of fragment mass cross distributions to determine the neutron skin thickness of projectile nuclei

作     者：Hui-Ling Wei Xun Zhu Chen Yuan Hui-Ling Wei;Xun Zhu;Chen Yuan

作者机构：College of PhysicsHenan Normal UniversityXinxiang 453007China 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2022年第33卷第9期

页      面：21-27页

核心收录：

学科分类：08[工学] 0827[工学-核科学与技术] 082701[工学-核能科学与工程] 

基　　金：the National Natural Science Foundation of China(No.11975091) the Program for Innovative Research Team(in Science and Technology)in the University of Henan Province,China(No.21IRTSTHN011) 

主　　题：Neutron skin thickness Mass cross-section distribution Configurational information entropy Projectile fragmentation reaction 

摘      要：Configurational information entropy(CIE)analysis has been shown to be applicable for determining the neutron skin thickness(δnp)of neutron-rich nuclei from fragment production in projectile fragmentation *** BNN+FRACS machine learning model was adopted to predict the fragment mass cross-sections(σ_(A))of the projectile fragmentation reactions induced by calcium isotopes from ^(36)Ca to ^(56)Ca on a ^(9)Be target at 140MeV/*** fast Fourier transform was adopted to decompose the possible information compositions inσA distributions and determine the quantity of CIE(S_(A)[f]).It was found that the range of fragments significantly influences the quantity of S_(A)[f],which results in different trends of S_(A)[f]~δnp *** linear S_(A)[f]~δnp correlation in a previous study[***.33,6(2022)]could be reproduced using fragments with relatively large mass fragments,which verifies that S_(A)[f]determined from fragmentσAis sensitive to the neutron skin thickness of neutron-rich isotopes.