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Record W2001025435 · doi:10.1109/aps.2004.1330614

Compact visualization of electromagnetic time-harmonic fields

2004· article· en· W2001025435 on OpenAlexaff
J.E. Roy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicScientific Research and Discoveries
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsVisualizationCartesian coordinate systemPlot (graphics)EllipseHarmonic analysisElectromagnetic fieldHarmonicPolarization (electrochemistry)Analytic geometryComputer scienceTopology (electrical circuits)MathematicsGeometryMathematical analysisPhysicsAcousticsArtificial intelligence

Abstract

fetched live from OpenAlex

The paper presents a compact visualization scheme for electromagnetic time-harmonic fields, which replaces the visualization of six plots with that of a single plot. These six plots are those of the magnitude and the phase for the three Cartesian field components of interest (either electric or magnetic) at the points of a computational space. The single plot shows in three dimensional space the lengths and the orientations of both the major and the minor axes for the general polarization ellipse that corresponds to the six plots. This compact visualization is especially useful for the near field which often has all three components non-zero. This compact visualization scheme can also be extended from time-harmonic signals to arbitrary time signals by using the concept of analytic signals as the generalization of complex numbers.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2004
Admission routes1
Has abstractyes

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