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Record W2064623971 · doi:10.1109/icimw.2009.5325587

Simulation of bow-tie THz antenna using hybrid finite element method and spectral ray tracing technique

2009· article· en· W2064623971 on OpenAlexaff
Daniel M. Hailu, Iraj A. Ehtezazi, Mohammad Neshat, Safieddin Safavi‐Naeini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRadiation patternOpticsHFSSBow tieAntenna (radio)Finite element methodTerahertz radiationAntenna measurementRay tracing (physics)Lens (geology)PhysicsComputer scienceMicrostrip antennaTelecommunications

Abstract

fetched live from OpenAlex

In this paper, we propose a hybrid method that uses commercially available Finite Element Method (FEM) software and our in-house developed Spectral Ray Tracing (SRT) algorithm. The method is used for calculating the radiation patterns of complex lens antenna such as a bow-tie antenna backed by silicon lens. A traveling-wave terahertz photomixer integrated with a coplanar stripline (CPS) waveguide is used to generate the radiation that couples to the antenna. We employ HFSS, a FEM solver, to model THz propagation along the CPS line and planar bow-tie. Once the near-field distribution is found, the SRT method is then applied to find the radiation patterns and gain of the bow-tie antenna backed by a silicon hyper-hemispherical lens. The results are compared with full FEM simulation of the antenna-lens structure.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.476
Threshold uncertainty score0.410

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 head0.026
GPT teacher head0.311
Teacher spread0.285 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

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