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Record W2092205962 · doi:10.1088/1367-2630/9/3/057

Waves and wakes excited by a moving disturbance in a 2D magnetized dusty plasma

2007· article· en· W2092205962 on OpenAlexaff
Ke Jiang, Lu-Jing Hou, Xiang Xu, You‐Nian Wang

Bibliographic record

VenueNew Journal of Physics · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDust and Plasma Wave Phenomena
Canadian institutionsUniversity of Waterloo
FundersSpecialized Research Fund for the Doctoral Program of Higher Education of China
KeywordsPhysicsDisturbance (geology)PlasmaMach numberWakeMagnetic fieldPerturbation (astronomy)Dusty plasmaExcited stateQuantum electrodynamicsMechanicsClassical mechanicsAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

A hydrodynamic model is proposed to study a moving disturbance (for example a laser spot) excited waves and wakes in a two-dimensional (2D) magnetized dusty plasma, with particular attention being paid to the effect of magnetic field on structures of wake patterns. Numerical results show that in the weak magnetic field case the wakes exhibit typical V-shaped Mach cone structures similar to those observed in non-magnetized dusty plasmas. Whereas with increasing magnetic field, the wakes lose their symmetry gradually regarding the moving direction of the disturbance and the Mach cones become oscillatory wakes. In the case of extremely strong field, the wakes further turn into a non-oscillatory perturbation zone right behind the disturbance.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.550

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 head0.008
GPT teacher head0.223
Teacher spread0.214 · 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 designOther design
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

Citations4
Published2007
Admission routes1
Has abstractyes

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