Fine-Tuning of the Quasi-Bound \(K^- pp\) State

IF 1.7 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
N. V. Shevchenko
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引用次数: 0

Abstract

Characteristics of the quasi-bound state in the \(K^- pp\) system strongly depend on the model of antikaon–nucleon interaction and weakly—on the nucleon–nucleon potential. In the present paper, dynamically exact Faddeev-type calculations with coupled \(\bar{K}NN\) and \(\pi \varSigma N\) were performed using different models of the \(\varSigma N\) and \(\pi N\) interactions to study the influence of these “less important” interactions on the three-body result. In addition, dynamically exact three-body Faddeev-type AGS calculations with three coupled particle channels \(\bar{K}NN - \pi \varSigma N - \pi \varLambda N\) were performed.

准约束 $$K^- pp$$ 状态的微调
摘要 \(K^- pp\) 系统中准束缚态的特征在很大程度上取决于反核子-核子相互作用的模型,在很小程度上取决于核子-核子势。在本文中,使用不同的\(\varSigma N\) 和\(\pi N\) 相互作用模型,对耦合的\(\bar{K}NN\) 和\(\pi \varSigma N\) 进行了动态精确法迪夫计算,以研究这些 "不太重要 "的相互作用对三体结果的影响。此外,还使用三个耦合粒子通道(\(\bar{K}NN - \pi \varSigma N - \pi \varLambda N)进行了动态精确三体法迪夫型AGS计算。
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来源期刊
Few-Body Systems
Few-Body Systems 物理-物理:综合
CiteScore
2.90
自引率
18.80%
发文量
64
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).
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