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Benchmark of gyrokinetic, kinetic MHD and gyrofluid codes for the linear calculation of fast particle driven TAE dynamics

机译:动力学,运动MHD和陀螺流体代码的基准,用于快速粒子驱动的TAE动力学的线性计算

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Fast particles in fusion plasmas may drive Alfven modes unstable leading to fluctuations of the internal electromagnetic fields and potential loss of particles. Such instabilities can have an impact on the performance and the wall-load of machines with burning plasmas such as ITER. A linear benchmark for a toroidal Alfven eigenmode (TAE) is done with 11 participating codes with a broad variation in the physical as well as the numerical models. A reasonable agreement of around 20% has been found for the growth rates. Also, the agreement of the eigenfunctions and mode frequencies is satisfying. However, they are found to depend strongly on the complexity of the used model.
机译:聚变等离子体中的快速粒子可能会使Alfven模式不稳定,从而导致内部电磁场的波动和粒子的潜在损失。这种不稳定性可能会影响具有燃烧等离子体的机器(例如ITER)的性能和壁负载。环形Alfven本征模式(TAE)的线性基准是由11个参与代码完成的,它们在物理模型和数值模型上都有很大的差异。已经找到了大约20%的合理增长率。而且,本征函数和模频率的一致性是令人满意的。但是,发现它们很大程度上取决于所用模型的复杂性。

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