Ma Wei-Hu, Ma Yu-Gang
Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China.
Shanghai Research Center for Theoretical Nuclear Physics, NSFC and Fudan University, Shanghai 200438, China.
Entropy (Basel). 2024 Sep 5;26(9):763. doi: 10.3390/e26090763.
This study explores the role of information entropy in understanding nuclear density distributions, including both stable configurations and non-traditional structures such as neutron halos and α-clustering. By quantifying the uncertainty and disorder inherent in nucleon distributions in nuclear many-body systems, information entropy provides a macroscopic measure of the physical properties of the system. A more dispersed and disordered density distribution results in a higher value of information entropy. This intrinsic relationship between information entropy and system complexity allows us to quantify uncertainty and disorder in nuclear structures by analyzing various geometric parameters such as nuclear radius, diffuseness, neutron skin, and cluster structural features.
本研究探讨了信息熵在理解核密度分布中的作用，包括稳定构型以及诸如中子晕和α团簇等非传统结构。通过量化核多体系统中核子分布所固有的不确定性和无序性，信息熵提供了系统物理性质的宏观度量。更分散和无序的密度分布会导致信息熵值更高。信息熵与系统复杂性之间的这种内在关系使我们能够通过分析各种几何参数，如核半径、弥散度、中子皮和团簇结构特征，来量化核结构中的不确定性和无序性。
