论文标题
从气泡湍流成像中对等离子体和中性波动的深层建模
Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging
论文作者
论文摘要
目前，投影到融合能量反应器时，湍流在设定边界等离子体条件中的作用是一个关键的不确定性。为了牢固地诊断边缘湍流，我们通过一种新型的集成深度学习框架将HEI线辐射的亮度测量转化为局部等离子体波动的技术，该技术结合了中性传输物理学和碰撞辐射理论，用于$ 3^3^3 d -2 -2^3 d -2^3 p $ intomic helium Inomic Helium中的原子栖息地。审查了实验有效性的原则，表明这种电离气体的湍流分析可转移到具有任意几何形状的磁化和未磁化环境中。基于碱C-Mod Tokamak上的快速摄像机数据，我们介绍了使用单个光谱线使用单个光谱线的湍流电子密度，电子温度和中性密度揭示融合等离子体中的阴影效应的第一个二维实验测量。
The role of turbulence in setting boundary plasma conditions is presently a key uncertainty in projecting to fusion energy reactors. To robustly diagnose edge turbulence, we develop and demonstrate a technique to translate brightness measurements of HeI line radiation into local plasma fluctuations via a novel integrated deep learning framework that combines neutral transport physics and collisional radiative theory for the $3^3 D - 2^3 P$ transition in atomic helium. The tenets for experimental validity are reviewed, illustrating that this turbulence analysis for ionized gases is transferable to both magnetized and unmagnetized environments with arbitrary geometries. Based upon fast camera data on the Alcator C-Mod tokamak, we present the first 2-dimensional time-dependent experimental measurements of the turbulent electron density, electron temperature, and neutral density revealing shadowing effects in a fusion plasma using a single spectral line.
