Plasma diagnostics using computed tomography method

N. Denisova
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引用次数: 2

Abstract

Summary form only given. A review of applications of the tomographic method for diagnostics of various plasma objects has been performed in this work. The objects are: methane plasma evolution in plasma-chemical reactor, a capillary discharge of inner diameter of 1 mm, a high-pressure non-symmetrical arc plasma, a high frequency inductive coupled plasma. The computed tomography is receiving increasing attention as a powerful method for the reconstruction of the local characteristics in both: high-temperature and low-temperature plasma. Local plasma characteristics can be derived from the integrated data by combining of an integrating measurement techniques and computer tomography algorithms and methods. This can provide much useful information on the plasma structure and its evolution in time. There are various theoretical approaches on the development of algorithms for obtaining tomographic images, such as algebraic reconstruction technique, maximum entropy method, minimum Fisher information algorithm, constrained optimization and maximum a posteriori methods. These algorithms are intended to be applied in different class of reconstruction problems corresponding to different kinds of prior and different kinds of data. A comparative analysis of these algorithms has been performed.
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等离子体诊断的计算机断层扫描方法
只提供摘要形式。本文综述了层析成像方法在各种等离子体物体诊断中的应用。研究对象包括:等离子体化学反应器中的甲烷等离子体演化、内径1mm的毛细管放电、高压非对称弧等离子体、高频感应耦合等离子体。计算机断层扫描作为一种重建高温和低温等离子体局部特征的有效方法,正受到越来越多的关注。将积分测量技术与计算机断层扫描算法和方法相结合,可以从集成数据中获得局部等离子体特性。这可以为等离子体结构及其随时间的演变提供许多有用的信息。层析成像算法的发展有多种理论途径,如代数重建技术、最大熵法、最小费雪信息算法、约束优化和最大后验方法。这些算法旨在应用于不同类型的先验数据和不同类型的数据所对应的不同类型的重构问题。对这些算法进行了比较分析。
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