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Record W2112848856 · doi:10.1109/tmtt.2010.2040409

A Near-Field Probe for Subwavelength-Focused Imaging

2010· article· en· W2112848856 on OpenAlexaff
Loïc Markley, George V. Eleftheriades

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2010
Typearticle
Languageen
FieldEngineering
TopicNear-Field Optical Microscopy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOpticsRaster scanDipoleWavelengthPhysicsDipole antennaImage resolutionCardinal pointResolution (logic)Planar arrayNear and far fieldBandwidth (computing)Antenna arrayMaterials scienceAntenna (radio)TelecommunicationsComputer science

Abstract

fetched live from OpenAlex

A near-field antenna array probe is presented that can perform subwavelength-focused imaging at a distance of 0.25¿ . The array is composed of a centrally fed dipole with open-circuited secondary dipoles placed less than half a wavelength away on each side. Together, they produce a subwavelength focal spot that can be used to detect the presence of small wire loops with subwavelength resolution. This is done by raster scanning the array over the focal plane and monitoring the probe return loss for perturbations. An experiment was conducted that verified the 1-D subwavelength imaging of two loops placed in the focal plane. The minimum resolvable loop separation was 0.31¿ for the array probe compared to 0.72¿ for the single-dipole probe. The array probe had a 13% resolution bandwidth for two loops spaced at 0.4¿.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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 designBench or experimental
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

Citations23
Published2010
Admission routes1
Has abstractyes

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