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Record W2542315010 · doi:10.1088/1741-4326/aa66ae

Investigation of turbulence rotation in limiter plasmas at W7-X with newly installed poloidal correlation reflectometer

2017· article· en· W2542315010 on OpenAlexfundno aff
A. Krämer-Flecken, T. Windisch, W. Behr, G. Czymek, P. Drews, G. Fuchert, J. Geiger, O. Grulke, M. Hirsch, M. Knaup, Y. Liang, O. Neubauer, E. Pasch, J. L. Velasco

Bibliographic record

VenueNuclear Fusion · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersInstitute of Circulatory and Respiratory HealthH2020 Euratom
KeywordsStellaratorPhysicsLimiterReflectometryPlasmaTurbulenceTokamakRotation (mathematics)OpticsToroidal and poloidalMicrowaveMagnetic fieldPlasma diagnosticsComputational physicsNuclear physicsMechanicsElectrical engineering

Abstract

fetched live from OpenAlex

For the first operation phase of the optimized stellarator W7-X, a heterodyne poloidal correlation reflectometry diagnostic is installed and put into operation. The system is intended to measure the perpendicular (with respect to the magnetic field) turbulence rotation and turbulence properties, such as the decorrelation time and correlation length at the plasma edge. Furthermore, it can give information on the magnetic field line pitch angle. The system consists of an array of microwave antennas distributed in the poloidal and toroidal directions. The frequency range of 22 GHz–40 GHz allows us to access local plasma densities of m −3 – m −3 . During the first operation phase the turbulence rotation is measured in almost all plasmas. In addition, the radial electric field is estimated and compared to that in neoclassical theory. The relatively low plasma density allows us to cover up to 80% of the plasma radius during OP1.1. The obtained data cover various experimental programs and are partly presented in the paper.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.021
GPT teacher head0.254
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations27
Published2017
Admission routes1
Has abstractyes

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