Transport Characteristics and Modelling of ST40 Hot Ion Plasmas Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2502.04993
In this paper, the turbulent transport properties of ST40 hot ion plasmas are examined and fully predictive time evolving modelling of a hot ion plasma pulse was performed. Understanding turbulent transport on spherical tokamaks (STs) is challenging due to their unique geometry characteristics. ST40 hot ion plasmas are typically unstable to ion scale Trapped Electron Modes (TEMs) and Ubiquitous Modes (UMs), driven from the kinetic response of trapped particles and passing ions, and electron scale Electron Temperature Gradient Modes (ETGs) at the edge of the plasma. A comparison between the linear unstable modes of the gyro-kinetic code GS2 and the gyro-fluid code TGLF showed that both models agree to a satisfactory level. However, some discrepancy was observed at the core of the plasma where a large fraction of beams ions exists, and electromagnetic effects are potentially important. Turbulent fluxes were also observed to be somewhat overpredicted with TGLF. The core heat ion transport is observed to be close to neoclassical levels due to turbulence suppression from high rotation and fast ion stabilisation, while the edge region is dominated by anomalous transport in both ions and electrons. As a result, enhanced energy confinement is observed in those plasmas driven by the reduced turbulent core region and the confined beam ions. Fully predictive simulations using the ASTRA transport solver coupled with SPIDER, NUBEAM, NCLASS and TGLF together with a novel reduced scrape of layer (SOL) model for the simulation of the last closed flux surface (LCFS) boundary conditions was attempted. Agreement in global quantities but also kinetic profiles between the predictive and interpretative modelling as well as experimental measurements was observed.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.04993
- https://arxiv.org/pdf/2502.04993
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407310167
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407310167Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.04993Digital Object Identifier
- Title
-
Transport Characteristics and Modelling of ST40 Hot Ion PlasmasWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-07Full publication date if available
- Authors
-
MS Anastopoulos Tzanis, Matthew J. Hardman, Yong Zhang, Xin Zhang, A. Sladkomedova, A. Yu. Dnestrovskii, Y. S. Na, Jung‐Hwan Lee, Soo‐Jin Park, TO Gorman, Hazel Lowe, M. Romanelli, M. Sertoli, M Gemmel, J. Woods, H.V. Willett, st Lhd Experimental TeamList of authors in order
- Landing page
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https://arxiv.org/abs/2502.04993Publisher landing page
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https://arxiv.org/pdf/2502.04993Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2502.04993Direct OA link when available
- Concepts
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Plasma, Ion, Physics, Nuclear physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.fraction | 126 |
| abstract_inverted_index.geometry | 41 |
| abstract_inverted_index.observed | 116, 141, 154, 193 |
| abstract_inverted_index.profiles | 255 |
| abstract_inverted_index.response | 65 |
| abstract_inverted_index.rotation | 167 |
| abstract_inverted_index.somewhat | 144 |
| abstract_inverted_index.together | 224 |
| abstract_inverted_index.tokamaks | 33 |
| abstract_inverted_index.unstable | 49, 91 |
| abstract_inverted_index.Agreement | 248 |
| abstract_inverted_index.Turbulent | 137 |
| abstract_inverted_index.anomalous | 179 |
| abstract_inverted_index.dominated | 177 |
| abstract_inverted_index.modelling | 19, 261 |
| abstract_inverted_index.observed. | 268 |
| abstract_inverted_index.particles | 68 |
| abstract_inverted_index.spherical | 32 |
| abstract_inverted_index.transport | 5, 30, 152, 180, 215 |
| abstract_inverted_index.turbulent | 4, 29, 201 |
| abstract_inverted_index.typically | 48 |
| abstract_inverted_index.Ubiquitous | 58 |
| abstract_inverted_index.attempted. | 247 |
| abstract_inverted_index.comparison | 87 |
| abstract_inverted_index.conditions | 245 |
| abstract_inverted_index.electrons. | 185 |
| abstract_inverted_index.gyro-fluid | 100 |
| abstract_inverted_index.important. | 136 |
| abstract_inverted_index.performed. | 27 |
| abstract_inverted_index.predictive | 16, 210, 258 |
| abstract_inverted_index.properties | 6 |
| abstract_inverted_index.quantities | 251 |
| abstract_inverted_index.simulation | 236 |
| abstract_inverted_index.turbulence | 163 |
| abstract_inverted_index.Temperature | 76 |
| abstract_inverted_index.challenging | 36 |
| abstract_inverted_index.confinement | 191 |
| abstract_inverted_index.discrepancy | 114 |
| abstract_inverted_index.potentially | 135 |
| abstract_inverted_index.simulations | 211 |
| abstract_inverted_index.suppression | 164 |
| abstract_inverted_index.experimental | 265 |
| abstract_inverted_index.gyro-kinetic | 95 |
| abstract_inverted_index.measurements | 266 |
| abstract_inverted_index.neoclassical | 159 |
| abstract_inverted_index.satisfactory | 110 |
| abstract_inverted_index.Understanding | 28 |
| abstract_inverted_index.overpredicted | 145 |
| abstract_inverted_index.interpretative | 260 |
| abstract_inverted_index.stabilisation, | 171 |
| abstract_inverted_index.electromagnetic | 132 |
| abstract_inverted_index.characteristics. | 42 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 17 |
| citation_normalized_percentile |