典型文献
Configurational information entropy analysis of fragment mass cross distributions to determine the neutron skin thickness of projectile nuclei
文献摘要:
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(σA)of the projectile fragmentation reactions induced by calcium isotopes from 36Ca to 56Ca on a 9Be target at 140 MeV/u.The fast Fourier transform was adopted to decompose the possible information compositions in σA distributions and determine the quantity of CIE(SA[f]).It was found that the range of fragments significantly influ-ences the quantity of SA f],which results in different trends of SA[f]~δnp correlation.The linear SA[f]~δnp correla-tion in a previous study[Nucl.Sci.Tech.33,6(2022)]could be reproduced using fragments with relatively large mass fragments,which verifies that SA f]determined from fragment σA is sensitive to the neutron skin thickness of neutron-rich isotopes.
文献关键词:
中图分类号:
作者姓名:
Hui-Ling Wei;Xun Zhu;Chen Yuan
作者机构:
College of Physics,Henan Normal University,Xinxiang 453007,China
文献出处:
引用格式:
[1]Hui-Ling Wei;Xun Zhu;Chen Yuan-.Configurational information entropy analysis of fragment mass cross distributions to determine the neutron skin thickness of projectile nuclei)[J].核技术(英文版),2022(09):21-27
A类:
Configurational,BNN+FRACS,36Ca,56Ca,Nucl
B类:
information,entropy,analysis,mass,cross,distributions,neutron,skin,thickness,projectile,nuclei,CIE,has,been,shown,applicable,determining,np,rich,from,production,fragmentation,reactions,machine,learning,model,was,adopted,predict,sections,induced,by,calcium,isotopes,9Be,target,MeV,fast,Fourier,transform,decompose,possible,compositions,quantity,SA,It,found,that,range,fragments,significantly,influ,ences,which,results,different,trends,correlation,linear,previous,study,Sci,Tech,could,reproduced,using,relatively,large,verifies,determined,sensitive
AB值:
0.463952
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