Uncertainty Estimation and Anomaly Detection in Chiral Effective Field Theory Studies of Key Nuclear Electroweak Processes

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

Few-Body Systems Pub Date : 2024-06-04 DOI:10.1007/s00601-024-01929-x

Bijaya Acharya

引用次数: 0

Abstract

Chiral effective field theory (\(\chi \)EFT) is a powerful tool for studying electroweak processes in nuclei. I discuss \(\chi \)EFT calculations of three key nuclear electroweak processes: primordial deuterium production, proton–proton fusion, and magnetic dipole excitations of \(^{48}\textrm{Ca}\). This article showcases \(\chi \)EFT’s ability to quantify theory uncertainties at the appropriate level of rigor for addressing the different precision demands of these three processes.

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关键核电弱过程的手性有效场理论研究中的不确定性估计和异常检测

手性有效场理论（chiral effective field theory）是研究核电弱过程的有力工具。我讨论了三个关键核电弱过程的（\(\chi\)EFT）计算：原始氘产生、质子-质子聚变以及（^{48}\textrm{Ca}\）的磁偶极子激发。这篇文章展示了\(\chi\)EFT在适当的严格程度上量化理论不确定性的能力，以解决这三个过程的不同精度要求。

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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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).