A Review of the Bayesian Method in Nuclear Fusion Diagnostic Research

IF 1.9 4区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Cong Wang, Jing Li, Yixiong Wei, Zhijun Wang, Renjie Yang, Dong Li, Zongyu Yang, Zhifeng Zhao
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引用次数: 0

Abstract

We provide a comprehensive review of the applications of the Bayesian method across various fusion devices. The progression and widespread adoption of the Bayesian method are evident in the field. Our focus is primarily on Bayesian probability theory and Gaussian process regression, aiming to offer clear definitions for each term in the formula. To facilitate understanding, we categorize the works based on the specific fusion device, enabling readers to assess the current state of development for the Bayesian method within each device. The numerous successful applications of the Bayesian method in analyzing diagnostic data from European devices underscore its significant potential and advantages.

Abstract Image

Abstract Image

核聚变诊断研究中的贝叶斯方法综述
我们全面回顾了贝叶斯方法在各种融合设备中的应用。贝叶斯方法在该领域的发展和广泛采用是显而易见的。我们主要关注贝叶斯概率论和高斯过程回归,旨在为公式中的每个术语提供清晰的定义。为了便于理解,我们根据具体的融合设备对作品进行了分类,使读者能够评估每种设备中贝叶斯方法的发展现状。贝叶斯方法在分析欧洲设备诊断数据方面的大量成功应用凸显了它的巨大潜力和优势。
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来源期刊
Journal of Fusion Energy
Journal of Fusion Energy 工程技术-核科学技术
CiteScore
2.20
自引率
0.00%
发文量
24
审稿时长
2.3 months
期刊介绍: The Journal of Fusion Energy features original research contributions and review papers examining and the development and enhancing the knowledge base of thermonuclear fusion as a potential power source. It is designed to serve as a journal of record for the publication of original research results in fundamental and applied physics, applied science and technological development. The journal publishes qualified papers based on peer reviews. This journal also provides a forum for discussing broader policies and strategies that have played, and will continue to play, a crucial role in fusion programs. In keeping with this theme, readers will find articles covering an array of important matters concerning strategy and program direction.
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