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Exploring the Diversity of Nuclear Density through Information Entropy
Wei-Hu Ma1,2, Yu-Gang Ma1,2
1Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China.
Entropy (Basel, Switzerland)
|September 27, 2024
Summary
Information entropy quantifies nuclear density distribution uncertainty. Higher entropy indicates more dispersed nucleon arrangements, revealing insights into nuclear structures like neutron halos and alpha clustering.
Area of Science:
- Nuclear Physics
- Quantum Many-Body Systems
Background:
- Understanding nuclear density distributions is crucial for nuclear structure physics.
- Quantifying disorder in nucleon arrangements provides macroscopic insights into nuclear properties.
Purpose of the Study:
- To explore the application of information entropy in characterizing nuclear density distributions.
- To investigate the relationship between information entropy and nuclear structural features, including stable and non-traditional configurations.
Main Methods:
- Utilizing information entropy as a measure of uncertainty and disorder in nucleon distributions.
- Analyzing geometric parameters such as nuclear radius, diffuseness, and neutron skin.
- Examining cluster structural features like neutron halos and alpha clustering.
Main Results:
- Information entropy serves as a macroscopic measure of nuclear system complexity.
- A higher information entropy value correlates with more dispersed and disordered nucleon density distributions.
- The study quantifies uncertainty and disorder in various nuclear structures.
Conclusions:
- Information entropy is a valuable tool for understanding nuclear density distributions.
- This approach provides a quantitative method to analyze nuclear structures and their complexity.
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