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Record W2018440234 · doi:10.1063/1.2755944

Turbulent excitation of plasma oscillations in the acoustic frequency range

2007· article· en· W2018440234 on OpenAlexaff
G. Falchetto, M. Ottaviani, X. Garbet, A. I. Smolyakov

Bibliographic record

VenuePhysics of Plasmas · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysicsTurbulenceGyroradiusTokamakComputational physicsPlasma oscillationPlasmaIsotropyClassical mechanicsMechanicsAtomic physicsOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

The impact of geodesic curvature on flux-driven electrostatic ion temperature gradient turbulence in the core of tokamak plasmas is studied by means of three-dimensional fluid global numerical simulations. The emphasis is on the dynamics of the axisymmetric fluctuations. The simulations evolve the equilibrium and the perturbed fields as a whole. The coupling of poloidal harmonics induced by the curvature results, on the one hand, in the presence of neoclassical transport, besides the turbulent one, and on the other, in the generation of oscillations in the acoustic frequency range. The neoclassical thermal conductivity is evaluated for the considered isotropic model, and scales as the plateau conductivity. The computed conductivity is shown to agree perfectly with that theoretical estimate. Geodesic acoustic modes (GAMs) are only observed transiently in the simulations. The GAM oscillations are strongly reduced in the final turbulent stationary state. The main peak in the poloidal velocity spectra is observed at a lower frequency. Detailed analysis of the simulations in the turbulent stationary state, in particular by means of a singular value decomposition of the space-time data, shows that a second linear branch of axisymmetric modes, having a frequency somewhat lower than the acoustic one, is more effectively excited by the turbulence. The result is a quasicoherent mode with a radial wavelength somewhat larger than the ion Larmor radius.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.279
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2007
Admission routes1
Has abstractyes

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