How accurate are flux-tube (local) gyrokinetic codes in modeling energetic particle effects on core turbulence? Article Swipe
A. Di Siena
,
T. Hayward-Schneider
,
P. Mantica
,
J. Citrin
,
F. Vannini
,
A. Bottino
,
T. Görler
,
E. Poli
,
R. Bilato
,
O. Sauter
,
F. Jenko
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/acf1b0
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/acf1b0
Flux-tube (local) gyrokinetic codes are widely used to simulate drift-wave turbulence in magnetic confinement devices. While a large number of studies show that flux-tube codes provide an excellent approximation for turbulent transport in medium-large devices, it still needs to be determined whether they are sufficient for modeling supra-thermal particle effects on core turbulence. This is called into question given the large temperature of energetic particles (EPs), which makes them hardly confined on a single flux-surface, but also due to the radially broad mode structure of EP-driven modes. The primary focus of this manuscript is to assess the range of validity of flux-tube codes in modeling fast ion effects by comparing radially global turbulence simulations with flux-tube results at different radial locations for realistic JET parameters using the gyrokinetic code GENE. To extend our study to a broad range of different plasma scenarios, this comparison is made for four different plasma regimes, which differ only by the profile of the ratio between the plasma kinetic and magnetic pressure. The latter is artificially rescaled to address the (i) electrostatic limit and regimes with (ii) marginally stable, (iii) weakly unstable and (iv) strongly unstable fast ion modes. These EP-driven modes are identified as Alfvénic ion temperature gradient modes (AITG)/kinetic beta-induced Alfvén eigenmodes (KBAE) via linear ORB5 and LIGKA simulations. It is found that the local flux-tube simulations can recover well the global results only in the electrostatic and marginally stable cases. When the AITG/KBAE becomes linearly unstable, the local approximation fails to correctly model the radially broad fast ion mode structure and the consequent global zonal patterns. According to this study, global turbulence simulations are likely required in regimes with linearly unstable AITG/KBAEs. In conditions with different fast ion-driven modes, these results might change.
Related Topics
Concepts
Turbulence
Physics
Flux tube
Gyrokinetics
Plasma
Flux (metallurgy)
Mechanics
Computational physics
Magnetic flux
Range (aeronautics)
Particle (ecology)
Jet (fluid)
Kinetic energy
Atomic physics
Magnetic field
Tokamak
Classical mechanics
Materials science
Nuclear physics
Oceanography
Geology
Composite material
Quantum mechanics
Metallurgy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-4326/acf1b0
- https://iopscience.iop.org/article/10.1088/1741-4326/acf1b0/pdf
- OA Status
- diamond
- Cited By
- 9
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385972011
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385972011Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1741-4326/acf1b0Digital Object Identifier
- Title
-
How accurate are flux-tube (local) gyrokinetic codes in modeling energetic particle effects on core turbulence?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-18Full publication date if available
- Authors
-
A. Di Siena, T. Hayward-Schneider, P. Mantica, J. Citrin, F. Vannini, A. Bottino, T. Görler, E. Poli, R. Bilato, O. Sauter, F. JenkoList of authors in order
- Landing page
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https://doi.org/10.1088/1741-4326/acf1b0Publisher landing page
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https://iopscience.iop.org/article/10.1088/1741-4326/acf1b0/pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1741-4326/acf1b0/pdfDirect OA link when available
- Concepts
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Turbulence, Physics, Flux tube, Gyrokinetics, Plasma, Flux (metallurgy), Mechanics, Computational physics, Magnetic flux, Range (aeronautics), Particle (ecology), Jet (fluid), Kinetic energy, Atomic physics, Magnetic field, Tokamak, Classical mechanics, Materials science, Nuclear physics, Oceanography, Geology, Composite material, Quantum mechanics, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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59Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.radially | 81, 111, 253 |
| abstract_inverted_index.regimes, | 151 |
| abstract_inverted_index.required | 274 |
| abstract_inverted_index.rescaled | 172 |
| abstract_inverted_index.simulate | 9 |
| abstract_inverted_index.strongly | 190 |
| abstract_inverted_index.unstable | 187, 191, 279 |
| abstract_inverted_index.validity | 100 |
| abstract_inverted_index.AITG/KBAE | 241 |
| abstract_inverted_index.According | 265 |
| abstract_inverted_index.Alfvénic | 201 |
| abstract_inverted_index.EP-driven | 86, 196 |
| abstract_inverted_index.Flux-tube | 1 |
| abstract_inverted_index.comparing | 110 |
| abstract_inverted_index.correctly | 250 |
| abstract_inverted_index.different | 119, 140, 149, 284 |
| abstract_inverted_index.energetic | 64 |
| abstract_inverted_index.excellent | 28 |
| abstract_inverted_index.flux-tube | 24, 102, 116, 223 |
| abstract_inverted_index.locations | 121 |
| abstract_inverted_index.particles | 65 |
| abstract_inverted_index.patterns. | 264 |
| abstract_inverted_index.pressure. | 167 |
| abstract_inverted_index.realistic | 123 |
| abstract_inverted_index.structure | 84, 258 |
| abstract_inverted_index.transport | 32 |
| abstract_inverted_index.turbulent | 31 |
| abstract_inverted_index.unstable, | 244 |
| abstract_inverted_index.comparison | 144 |
| abstract_inverted_index.conditions | 282 |
| abstract_inverted_index.consequent | 261 |
| abstract_inverted_index.determined | 41 |
| abstract_inverted_index.drift-wave | 10 |
| abstract_inverted_index.eigenmodes | 209 |
| abstract_inverted_index.identified | 199 |
| abstract_inverted_index.ion-driven | 286 |
| abstract_inverted_index.manuscript | 93 |
| abstract_inverted_index.marginally | 183, 236 |
| abstract_inverted_index.parameters | 125 |
| abstract_inverted_index.scenarios, | 142 |
| abstract_inverted_index.sufficient | 45 |
| abstract_inverted_index.turbulence | 11, 113, 270 |
| abstract_inverted_index.AITG/KBAEs. | 280 |
| abstract_inverted_index.confinement | 14 |
| abstract_inverted_index.gyrokinetic | 3, 128 |
| abstract_inverted_index.simulations | 114, 224, 271 |
| abstract_inverted_index.temperature | 62, 203 |
| abstract_inverted_index.turbulence. | 53 |
| abstract_inverted_index.artificially | 171 |
| abstract_inverted_index.beta-induced | 207 |
| abstract_inverted_index.medium-large | 34 |
| abstract_inverted_index.simulations. | 216 |
| abstract_inverted_index.approximation | 29, 247 |
| abstract_inverted_index.electrostatic | 177, 234 |
| abstract_inverted_index.flux-surface, | 75 |
| abstract_inverted_index.supra-thermal | 48 |
| abstract_inverted_index.(AITG)/kinetic | 206 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5042822461 |
| countries_distinct_count | 5 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I4210139716 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.9535989 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |