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Record W2150107956 · doi:10.1109/aps.2009.5171966

Perfectly matched plane wave source in FDTD via an efficient mixed time-frequency block filter formulation

2009· article· en· W2150107956 on OpenAlex
T. Y. Tan, M.E. Potter

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDigest - IEEE Antennas and Propagation Society. International Symposium · 2009
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFinite-difference time-domain methodGridBlock (permutation group theory)Computer scienceInteger (computer science)AlgorithmSampling (signal processing)Filter (signal processing)Field (mathematics)Plane waveOpticsMathematicsPhysicsGeometry

Abstract

fetched live from OpenAlex

The total field scattered field formulation (TF/SF) in the FDTD method is a powerful tool for simulating scattered fields reflected from objects with extremely complex geometries and heterogeneities. In this communication, we propose a mixed time and frequency domain solution to optimize the AFP memory storage by an integer M factor. We also provide a practical sampling condition to guarantee that the optimized AFP (O-AFP for short) grid always gives a perfect cancellation, a leakage error of -300 dB isolation if double precision format is employed.

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.

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: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.925

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 head0.236
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