A geometrical method is used for the analysis of stochastic processes in plasma turbulence. Distances between thermodynamic states can be computed according the thermodynamic length methodology which allows the use of a Riemannian metric on the phase space. A geometric methodology is suitable in order to understand stochastic processes involved in e.g. order-disorder transition, where a sudden increase in distance is expected. Gyrokinetic simulations of Ion-Temperature-Gradient (ITG) mode driven turbulence in the core-region of the stellarator W7-X, with realistic quasi-isodynamic topologies are considered. In gyrokinetic plasma turbulence simulations avalanches, e.g. of heat and particles, are often found and in this work a novel method for detection is investigated. This new method combines the Singular Spectrum Analysis algorithm and Hierarchical Clustering such that the gyrokinetic simulation time series is decomposed into a part of useful physical information and noise. The informative component of the time series is used for the calculation of the Hurst exponent, the Information Length and the Dynamic Time. Based on these measures the physical properties of the time series is revealed.
|Published - 2022
|48th European Physical Society Conference on Plasma Physics, EPS 2022 - Virtual, Online
Duration: 27 Jun 2022 → 1 Jul 2022
|48th European Physical Society Conference on Plasma Physics, EPS 2022
|27/06/22 → 1/07/22
Bibliographical noteFunding Information:
AP was supported by the European Union via the Euratom Research and Training Programme under Grant 101052200 EU-ROfusion through EUROfusion Consortium.
© 2022 48th EPS Conference on Plasma Physics, EPS 2022. All rights reserved.
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics