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Record W4393971148 · doi:10.1002/9781119763222.ch11

Computation of Incident Field from Electric Dipole Situated in the Far Zone

2024· other· en· W4393971148 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSituatedComputationDipoleNear and far fieldElectric fieldField (mathematics)Computer sciencePhysicsGeologyOpticsMathematicsArtificial intelligenceAlgorithmQuantum mechanicsPure mathematics

Abstract

fetched live from OpenAlex

This chapter helps the reader to understand the stationary phase method for asymptotic evaluation of the Sommerfeld integrals. It provides implementation-ready formulas for mixed-potential components of the vector and scalar potential Green's functions in the layers of a general layered medium due to an electric dipole situated in the far zone. Such incident field formulation accommodates for the cases of plane wave incidence on an object in layered medium from arbitrary directions and with arbitrary polarization. The use of reciprocity theorem is essential ingredient of the computational framework for evaluation of the incident field at the object. However, the electric field dyadic Green's function can be obtained analytically by using the asymptotic approximation of the space domain Green's function with method of stationary phase when the dipole and observation locations are in the far zone of each other.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.652

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)0.0010.000

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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