MétaCan
Menu
Back to cohort
Record W2094098276 · doi:10.1063/1.2814050

Effects of magnetosonic perturbations on electron temperature gradient driven modes and the stability of skin depth sized electron ballooning modes

2007· article· en· W2094098276 on OpenAlexafffund
N. Joiner, Akira Hirose

Bibliographic record

VenuePhysics of Plasmas · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research Grid
KeywordsPhysicsBallooningInstabilityElectron temperatureTokamakElectronPlasmaPerturbation (astronomy)GyrokineticsAtomic physicsTemperature gradientCondensed matter physicsQuantum electrodynamicsMechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

The effect of the magnetosonic perturbation δB∥ on the growth of electron temperature gradient driven (ETG) modes and electron temperature gradient driven ballooning modes [Hirose, Plasma Phys. Control. Fusion 49, 145 (2007)] is investigated using local gyrokinetic analysis and numerical solution, with supporting simulations from the initial value code GS2 [Kotschenreuther, et al., Comp. Phys. Commun. 88, 128 (1996)]. The effect of δB∥ on the ETG mode is found to depend on the competition between two physical processes related to magnetosonic compression. Local analysis of the ballooning mode appears to significantly overestimate growth rates of this instability. The electron temperature gradient driven ballooning mode has been observed in GS2 simulations. However, this work supports the conclusion that this instability will be subdominant to the ETG mode in normal tokamak regimes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.516

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)0.0000.000

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 head0.006
GPT teacher head0.238
Teacher spread0.231 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2007
Admission routes2
Has abstractyes

Explore more

Same venuePhysics of PlasmasSame topicMagnetic confinement fusion researchFrench-language works237,207