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Recent developments in Bayesian inference of tokamak plasma equilibria and high-dimensional stochastic quadratures

机译:托卡马克等离子体平衡和高维随机正交的贝叶斯推断的最新进展

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摘要

We present recent results and technical breakthroughs for the Bayesian inference of tokamak equilibria using force-balance as a prior constraint. Issues surrounding model parameter representation and posterior analysis are discussed and addressed. These points motivate the recent advancements embodied in the Bayesian Equilibrium Analysis and Simulation Tool (BEAST) software being presently utilized to study equilibria on the Mega-Ampere Spherical Tokamak (MAST) experiment in the UK (von Nessi et al 2012 J. Phys. A 46 185501). State-of-the-art results of using BEAST to study MAST equilibria are reviewed, with recent code advancements being systematically presented though out the manuscript.
机译:我们使用力平衡作为先验约束,给出了托卡马克平衡的贝叶斯推理的最新结果和技术突破。讨论并解决了围绕模型参数表示和后验分析的问题。这些观点激发了贝叶斯平衡分析和仿真工具(BEAST)软件所体现的最新进展,该软件目前用于研究英国的巨型安培球形托卡马克(MAST)实验的平衡(von Nessi等人,2012年J. Phys。A 46 185501)。回顾了使用BEAST研究MAST平衡的最新结果,并通过手稿系统地介绍了最新的代码改进。

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