Time-dependent probability density function analysis of H-mode transitions
Time-dependent probability density function analysis of H-mode transitions
复制标题
H 模式跃迁的时间相关概率密度函数分析
DOI：
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Zheng Yan
中科院分区：
文献类型：
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作者：
Hiro J. Farre‐Kaga;Y. Andrew;J. Dunsmore;Eun;T. Rhodes;L. Schmitz;Zheng Yan
首次将含时概率密度函数分析应用于聚变等离子体中的L-H跃迁。PDF是使用DIII-D托卡马克边缘区域垂直起伏速度和湍流的多普勒背向散射数据构建的。这些原始的时间序列数据被分割成毫秒长的滑动时间窗口来创建PDF。在过渡期间，PDF形成强烈的右尾，表明等离子体边缘的湍流抑制局部流动；这些特征和其他微妙的行为是使用新的信息几何技术来探索的。这封信考察了这些技术在预测L-H转变中的适用性，并研究了湍流和垂直速度之间的捕食-被捕食自我调节理论。
The first application of time-dependent probability density function (PDF) analysis to the L-H transition in fusion plasmas is presented. PDFs are constructed using Doppler Backscattering data of perpendicular fluctuation velocity, , and turbulence from the edge region of the DIII-D tokamak. These raw time-series data are sliced into millisecond-long sliding time-windows to create PDFs. During the transition, the PDFs develop strong right tails, indicative of turbulence-suppressing localised flows in the plasma edge; such features and other subtle behaviours are explored using novel information geometry techniques. This letter examines the applicability of these techniques to predict L-H transitions and investigate predator-prey self-regulation theories between turbulence and perpendicular velocity.