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引用次数: 0
摘要
在这项工作中，我们基于手性有效场理论相互作用 1.8/2.0 (EM)，对 \(^8\)He 的偶极子激发态性质进行了新的 ab initio 耦合簇计算。我们重点研究了偶极极化性，并将结果与我们之前的研究[Phys. Rev. C 105, 034313 (2022)]和后续的理论工作进行了比较。为了把低洼偶极子强度的存在与 \(^8\)He 的结构特性联系起来，我们计算了点中子半径，发现它与现有的实验数据非常吻合，并研究了它与\(^8\)He 偶极子极化率的相关性。
In this work, we present new ab initio coupled-cluster calculations of dipole-excited state properties of \(^8\)He based on the chiral effective field theory interaction 1.8/2.0 (EM). We focus on the dipole polarizability, and compare the results to our previous study [Phys. Rev. C 105, 034313 (2022)] and subsequent theoretical work. With the aim of connecting the presence of low-lying dipole strength to structure properties of \(^8\)He, we compute the point-neutron radius, finding excellent agreement with available experimental data, and investigate its correlation with the dipole polarizability.
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).
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