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Gyrokinetic modelling of the quasilinear particle flux for plasmas with neutral-beam fuelling

机译：中性束加油等离子体喹啉颗粒通量的热能模型

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A quasilinear particle flux is modelled based on gyrokinetic calculations. The particle flux is estimated by determining factors, namely, coefficients of off-diagonal terms and a particle diffusivity. In this paper, the methodology to estimate the factors is presented using a subset of JT-60U plasmas. First, the coefficients of off-diagonal terms are estimated by linear gyrokinetic calculations. Next, to obtain the particle diffusivity, a semi-empirical approach is taken. Most experimental analyses for particle transport have assumed that turbulent particle fluxes are zero in the core region. On the other hand, even in the stationary state, the plasmas in question have a finite turbulent particle flux due to neutral-beam fuelling. By combining estimates of the experimental turbulent particle flux and the coefficients of off-diagonal terms calculated earlier, the particle diffusivity is obtained. The particle diffusivity should reflect a saturation amplitude of instabilities. The particle diffusivity is investigated in terms of the effects of the linear instability and linear zonal flow response, and it is found that a formula including these effects roughly reproduces the particle diffusivity. The developed framework for prediction of the particle flux is flexible to add terms neglected in the current model. The methodology to estimate the quasilinear particle flux requires so low computational cost that a database consisting of the resultant coefficients of off-diagonal terms and particle diffusivity can be constructed to train a neural network. The development of the methodology is the first step towards a neural-network-based particle transport model for fast prediction of the particle flux.
机译：基于旋转内外计算建模喹啉颗粒助熔剂。通过确定因子估计粒子磁通，即偏离对角线术语的系数和粒子扩散率。本文使用JT-60U等离子体的子集来估计因子的方法。首先，通过线性旋转性计算估计偏差术语的系数。接下来，为了获得粒子扩散性，采用半经验方法。颗粒传输的大多数实验分析已经假设核心区域中湍流颗粒助熔剂为零。另一方面，即使在静止状态下，所讨论的等离子体也具有由于中性束加油引起的有限湍流颗粒磁通。通过组合先前计算的实验湍流粒子通量和偏心术语系数的估计，获得粒子扩散率。粒子扩散率应反映饱和幅度的饱和度。根据线性不稳定性和线性区间流动响应的影响来研究粒子扩散率，并且发现包括这些效果的公式大致再现颗粒扩散性。用于预测粒子通量的开发框架是灵活的，以增加当前模型中忽略的术语。估计Quasilinear粒子通量的方法需要如此低的计算成本，该计算成本可以构造由非对角线术语和粒子扩散率的所得系数组成的数据库以训练神经网络。方法的发展是朝着神经网络的粒子传输模型的第一步，用于快速预测粒子通量。

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