Non-parametric inference of impurity transport coefficients in the ASDEX Upgrade tokamak Article Swipe
T. Nishizawa
,
R. Dux
,
R. M. McDermott
,
F. Sciortino
,
M. Cavedon
,
C. Schuster
,
E. Wolfrum
,
U. von Toussaint
,
A. Jansen van Vuuren
,
D. J. Cruz-Zabala
,
P. Cano-Megias
,
C. Moon
,
the ASDEX Upgrade Team
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/ac60e8
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1741-4326/ac60e8
We present a non-parametric inference of impurity transport coefficients by using charge exchange recombination spectroscopy measurements of Ne X, Ne VIII, O VIII, and C VI lines. Due to their close atomic numbers, neon, oxygen and carbon impurity ions are assumed to have the same diffusion coefficient D and convection velocity v . Unlike conventional techniques that modulate or perturb the impurity contents, we employ a quasi-stationary plasma with static impurity profiles. Since the ratio of v to D only describes the equilibrated profile of the sum of all impurity charge states, steady-state measurements can still decouple D and v if different charge states are simultaneously observed. We have formulated a non-parametric analysis framework based on the Bayesian probability theory and conducted transport coefficient measurements for a Type III ELMy H-mode plasma at ASDEX Upgrade. The charge exchange reactions with the background neutrals, which are known to affect the impurity charge state balance, are taken into account by introducing additional free parameters. While D at the pedestal is close to the neoclassical level ( 1 m s −2 ), a large diffusion coefficient and a strong outward convection are inferred right inside the pedestal top.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-4326/ac60e8
- https://iopscience.iop.org/article/10.1088/1741-4326/ac60e8/pdf
- OA Status
- hybrid
- Cited By
- 9
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220830495
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220830495Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1741-4326/ac60e8Digital Object Identifier
- Title
-
Non-parametric inference of impurity transport coefficients in the ASDEX Upgrade tokamakWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-25Full publication date if available
- Authors
-
T. Nishizawa, R. Dux, R. M. McDermott, F. Sciortino, M. Cavedon, C. Schuster, E. Wolfrum, U. von Toussaint, A. Jansen van Vuuren, D. J. Cruz-Zabala, P. Cano-Megias, C. Moon, the ASDEX Upgrade TeamList of authors in order
- Landing page
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https://doi.org/10.1088/1741-4326/ac60e8Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1741-4326/ac60e8/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1741-4326/ac60e8/pdfDirect OA link when available
- Concepts
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ASDEX Upgrade, Tokamak, Atomic physics, Neon, Impurity, Charge (physics), Diffusion, Physics, Plasma, Thermodynamics, Nuclear physics, Argon, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 1, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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44Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.exchange | 13, 138 |
| abstract_inverted_index.impurity | 7, 38, 62, 71, 90, 150 |
| abstract_inverted_index.inferred | 196 |
| abstract_inverted_index.modulate | 58 |
| abstract_inverted_index.numbers, | 33 |
| abstract_inverted_index.pedestal | 167, 200 |
| abstract_inverted_index.velocity | 51 |
| abstract_inverted_index.<mml:math | 175 |
| abstract_inverted_index.conducted | 122 |
| abstract_inverted_index.contents, | 63 |
| abstract_inverted_index.describes | 81 |
| abstract_inverted_index.different | 102 |
| abstract_inverted_index.diffusion | 46, 188 |
| abstract_inverted_index.framework | 114 |
| abstract_inverted_index.inference | 5 |
| abstract_inverted_index.neutrals, | 143 |
| abstract_inverted_index.observed. | 107 |
| abstract_inverted_index.profiles. | 72 |
| abstract_inverted_index.reactions | 139 |
| abstract_inverted_index.transport | 8, 123 |
| abstract_inverted_index.additional | 160 |
| abstract_inverted_index.background | 142 |
| abstract_inverted_index.convection | 50, 194 |
| abstract_inverted_index.formulated | 110 |
| abstract_inverted_index.techniques | 56 |
| abstract_inverted_index.</mml:math> | 180 |
| abstract_inverted_index.coefficient | 47, 124, 189 |
| abstract_inverted_index.introducing | 159 |
| abstract_inverted_index.parameters. | 162 |
| abstract_inverted_index.probability | 119 |
| abstract_inverted_index.coefficients | 9 |
| abstract_inverted_index.conventional | 55 |
| abstract_inverted_index.equilibrated | 83 |
| abstract_inverted_index.measurements | 16, 94, 125 |
| abstract_inverted_index.neoclassical | 172 |
| abstract_inverted_index.spectroscopy | 15 |
| abstract_inverted_index.steady-state | 93 |
| abstract_inverted_index.recombination | 14 |
| abstract_inverted_index.non-parametric | 4, 112 |
| abstract_inverted_index.simultaneously | 106 |
| abstract_inverted_index.display="inline" | 177 |
| abstract_inverted_index.quasi-stationary | 67 |
| abstract_inverted_index.overflow="scroll"> | 178 |
| abstract_inverted_index.<mml:mo><</mml:mo> | 179 |
| abstract_inverted_index.xmlns:mml="http://www.w3.org/1998/Math/MathML" | 176 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5057442445 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I135598925, https://openalex.org/I4210139716 |
| citation_normalized_percentile.value | 0.94669179 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |