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Application of the Ensemble Kalman Smoother to Turbulent Transport Analysis in LHD Plasma

机译:合奏卡尔曼在LHD等离子中的湍流运输分析中的应用

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The ensemble Kalman smoother (EnKS) is introduced to the data assimilation system, ASTI, based on the integrated transport simulation code, TASK3D. We use the EnKS to estimate state variables composed of electron and ion temperature, density, and numerical factors of turbulent transport models and neutral beam injection (NBI) heat deposition. The time series data of plasma temperature and density profiles are assimilated into TASK3D. The estimation performance of the EnKS is investigated, and the EnKS is applied to an NBI plasma in the Large Helical Device (LHD) (shot:114053) to estimate the factors of the turbulent heat transport model. The obtained factors can reproduce the experimental temperature data with high accuracy. These results indicate the effectiveness and validity of the EnKS approach for accurate estimation of fusion plasma parameters.
机译:基于集成运输模拟代码,Task3D,Ensemble Kalman Snoother(Enks)被引入数据同化系统,ASTI。 我们使用ZES来估计由电子和离子温度,密度和湍流传输模型的密度和中性光束注射(NBI)热沉积的数值和中性光束注射(NBI)热沉积组成的状态变量。 等离子体温度和密度分布的时间序列数据被同化为Task3D。 研究了ZES的估计性能,并将ensk应用于大螺旋装置(LHD)(拍摄)(拍摄:114053)中的NBI等离子体以估计湍流热传输模型的因素。 所获得的因素可以高精度再现实验温度数据。 这些结果表明了磁性估计融合等离子体参数的探测方法的有效性和有效性。

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