An Encoder-Only Transformer to Generate Power Patterns from Far-Field Performance Criteria
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Bibliographic record
Abstract
This paper proposes a method for generation of Maxwellian far-field power patterns, to be used as input for a variety of electromagnetic inversion algorithms. Typically inversion source and scattering algorithms require a desired power pattern to reconstruct equivalent currents and/or material properties, but it is more common for the designer to provide only far-field pattern specifications such as beam directions, null directions, or half-power beamwidth. By using a method that represents an aperture antenna with a grid of infinitesimal dipoles, a set of training data is created consisting of current distributions (with varying phase and amplitude) and their corresponding power patterns as well as power pattern specifications. An encoder-only transformer neural-network model is then trained to recreate the full power pattern given only the specifications.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it