手性对称与核相互作用

IF 1.7 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Few-Body Systems Pub Date : 2024-04-10 DOI:10.1007/s00601-024-01918-0

Evgeny Epelbaum

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引用次数: 0

摘要

大约 30 年前，史蒂文-温伯格（Steven Weinberg）提出了使用有效手性拉格朗日来描述核相互作用的想法，这对核物理产生了长久的影响。在此，我将回顾自那时以来关于手性对称性在这方面的作用的研究成果，并讨论将手性 EFT 发展成为轻核精确工具所取得的成就和面临的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chiral Symmetry and Nuclear Interactions

About 3 decades ago, Steven Weinberg came up with an idea of using the effective chiral Lagrangian to describe nuclear interactions, which has had a long-lasting impact on nuclear physics. Here, I will reflect on what has been learned since that time about the role of chiral symmetry in this context and discuss achievements and challenges in advancing chiral EFT into a precision tool for light nuclei.

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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).