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 

机构地区：[1]College of Physics,Henan Normal University,Xinxiang 453007,China

出　　处：《Nuclear Science and Techniques》2022年第9期21-27,共7页核技术（英文）

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).

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 reactions.The 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/u.The 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 correlation.The linear S_(A)[f]~δnp correlation in a previous study[Nucl.Sci.Tech.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.

关 键 词：Neutron skin thickness Mass cross-section distribution Configurational information entropy Projectile fragmentation reaction 

分 类 号：O571.5[理学—粒子物理与原子核物理]