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Record W2040109986 · doi:10.1109/map.2013.6474485

Theoretical Methods for the Impedance and Bandwidth of the Thin Dipole

2013· article· en· W2040109986 on OpenAlexafffund
Maryam Dehghani Estarki, Rodney G. Vaughan

Bibliographic record

VenueIEEE Antennas and Propagation Magazine · 2013
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityAalborg Universitet
KeywordsDipole antennaDipoleBandwidth (computing)Electrical impedanceComputer sciencePhysicsComputational physicsElectronic engineeringAntenna (radio)Electrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The dipole is the fundamental elemental antenna, and the wire electric dipole and its monopole equivalent are still widely used in practice. Despite the long history of dipole research, its complete impedance behavior remains elusive, because of long-standing shortfalls in modeling the feed. The available analytic approaches are the wave-structure method and the induced-EMF method. The wave-structure method does not lend itself to feed-gap detail. However, it reveals the impact of the dipole's thickness and length on the impedance of dipoles, which is not readily available from other approaches. The method is restricted to an infinitesimal feed gap, i.e., different from a practical dipole antenna. The induced-EMF method is accurate for short and impracticably thin (for self-supporting) wire antennas. Numerical techniques can be used for practical dipole thicknesses, but no theory is available to benchmark the results. Here, the induced-EMF method with a finite feed gap is solved, and the impedance of the thin dipole is presented. The bandwidth is the critical parameter, and other methods are also applied for calculating the theoretical bandwidth. It is of particular interest that the lossless, thin dipole with a finite gap is a structure that has an extremely wide bandwidth. This paper includes a brief review of previous work to acknowledge the rich history and provide context for current research. However, it mostly presents new analysis and new impedance-bandwidth results for a range of dipole lengths.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.188

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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 designSimulation or modeling
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

Citations12
Published2013
Admission routes2
Has abstractyes

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