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arXiv 1802.04561physics.plasm-ph
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回旋运动GENE模拟中的非麦克斯韦快粒子效应

Non-Maxwellian fast particle effects in gyrokinetic GENE simulations

A. Di Siena, T. Görler, H. Doerk, R. Bilato, J. Citrin, T. Johnson, M. Schneider, E. Poli, JET Contributors

摘要:

在实验和数值研究中,快离子对等离子体湍流有显著的影响,并能部分抑制等离子体湍流。了解潜在的物理学并确定其有益效果的范围是未来聚变反应堆的一项重要任务,其中高能离子通过聚变反应和外部加热方案产生。然而,在许多的gyrokinetic代码快离子,为了简单起见,被视为等效麦克斯韦分布粒子物种,虽然它是众所周知的,严格的高度非热化粒子模型,非麦克斯韦背景分布函数是必要的。为了研究这一假设的影响,gyrokinetic代码基因最近已被扩展到支持任意的背景分布函数,这可能是分析,例如减慢和双麦克斯韦,或从数值快离子模型获得。一个特定的射流等离子体与强大的快离子相关的湍流抑制与这些新的代码功能都与线性和非线性陀螺动力学模拟进行了修订。看起来快速离子稳定化倾向于不太强,但仍然具有更真实的分布,这提高了与实验的定量功率平衡一致性。

英文摘要:

Fast ions have recently been found to significantly impact and partially suppress plasma turbulence both in experimental and numerical studies in a number of scenarios. Understanding the underlying physics and identifying the range of their beneficial effect is an essential task for future fusion reactors, where highly energetic ions are generated through fusion reactions and external heating schemes. However, in many of the gyrokinetic codes fast ions are, for simplicity, treated as equivalent-Maxwellian-distributed particle species, although it is well known that to rigorously model highly non-thermalised particles, a non-Maxwellian background distribution function is needed. To study the impact of this assumption, the gyrokinetic code GENE has recently been extended to support arbitrary background distribution functions which might be either analytic, e.g. slowing down and bi-Maxwellian, or obtained from numerical fast ion models. A particular JET plasma with strong fast-ion related turbulence suppression is revised with these new code capabilities both with linear and nonlinear gyrokinetic simulations. It appears that the fast ion stabilization tends to be less strong but still substantial with more realistic distributions, and this improves the quantitative power balance agreement with experiments.

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