Nuclear Fusion (Jan 2024)
Automated W7-X sawtooth crashes detection and characterization
- M. Zanini,
- E. Aymerich,
- D. Böckenhoff,
- A. Merlo,
- K. Aleynikova,
- C. Brandt,
- H. Braune,
- K.J. Brunner,
- M. Hirsch,
- U. Höfel,
- J. Knauer,
- H.P. Laqua,
- S. Marsen,
- A. Pavone,
- K. Rahbarnia,
- J. Schilling,
- T. Smith,
- T. Stange,
- H. Thomsen,
- R.C. Wolf,
- A. Zocco,
- W7-X Team
Affiliations
- M. Zanini
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- E. Aymerich
- ORCiD
- Department of Electrical and Electronic Engineering, University of Cagliari , Cagliari, Italy
- D. Böckenhoff
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- A. Merlo
- ORCiD
- Proxima Fusion GmbH , Munich 81671, Germany
- K. Aleynikova
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- C. Brandt
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- H. Braune
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- K.J. Brunner
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- M. Hirsch
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- U. Höfel
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- J. Knauer
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- H.P. Laqua
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- S. Marsen
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- A. Pavone
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- K. Rahbarnia
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- J. Schilling
- ORCiD
- Proxima Fusion GmbH , Munich 81671, Germany
- T. Smith
- Humboldt-Universität zu Berlin, Institute of Physics , Berlin 10117, Germany
- T. Stange
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- H. Thomsen
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- R.C. Wolf
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany; Zentrum für Astronomie und Astrophysik,Technische Universität , Berlin 10623, Germany
- A. Zocco
- ORCiD
- Max-Planck-Institut für Plasmaphysik–Greifswald , Greifswald 17491, Germany
- W7-X Team
- DOI
- https://doi.org/10.1088/1741-4326/ad490b
- Journal volume & issue
-
Vol. 64,
no. 7
p. 076027
Abstract
Sawtooth crashes are observed during ECCD experiments at the superconducting optimized stellarator Wendelstein 7-X. The study and the characterization are necessary in order to understand under which condition ECCD can be driven without posing a risk to experimental operations. The development of automatic tools is crucial to speed up the analysis of extensive datasets. In this work, we report on the first attempt of using a data-driven approach to automatically characterize the sawtooth crashes. Cluster algorithms are applied to the dataset, confirming the existence of two distinct types of crashes. This approach allows to study the two groups separately and underlines the different plasma parameters that influence the sawtooth crash parameters, for instance crash amplitude and period.
Keywords
