Antenna modeling using space‐mapping corrected cauchy approximation surrogates
Bibliographic record
Abstract
Abstract In this work, a computationally efficient antenna modeling technique. Our methodology is a two‐stage approach is present. In the first stage, a Cauchy‐based approximation model is constructed using coarsely discretized full‐wave simulation. The accuracy of this model is improved using a space mapping (SM) approach. A limited number of high‐fidelity antenna simulations are used in the SM phase. We show that our approach obtains a modeling accuracy comparable to that provided by direct Cauchy approximation of the high‐fidelity electromagnetic simulation data. The computational cost is, however, much lower. We successfully illustrate our approach through a number of antenna modeling examples. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:37–40, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26455
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".