三阿尔法系统中的共振态结构

IF 1.7 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Few-Body Systems Pub Date : 2024-04-29 DOI:10.1007/s00601-024-01922-4

Souichi Ishikawa

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引用次数: 0

摘要

通过法迪夫（Faddeev）技术对一组现象学的（2）和（3）电势计算得到的三个（α）粒子波函数的密度分布研究了（{}^{12}\）C原子核中低能态的几何结构。计算出的三（α）粒子形成的三角形的形状被归类为等边三角形、等腰三角形或这些三角形的不同大小的混合物，这可能表征了这些状态的激发机制

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Structure of Resonance States in Three-Alpha Systems

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Structure of Resonance States in Three-Alpha Systems

Geometrical structures of low-energy states in the \({}^{12}\)C nucleus are investigated using density distributions obtained from three \(\alpha \)-particle wave functions calculated for a set of phenomenological \(2\alpha \)- and \(3\alpha \) potentials by Faddeev technique. Calculated shapes of triangles that three \(\alpha \)-particles form are classified to either an equilateral triangle, an isosceles triangle, or a mixture of these with various sizes, which may characterize the excitation mechanism of the states

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来源期刊

Few-Body Systems 物理-物理：综合

CiteScore

2.90

自引率

18.80%

发文量

审稿时长

6-12 weeks

期刊介绍： The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures. Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal. The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).