Application of the Reaction Theorem to Calculate the Coupling between Array Antennas on an Integrated Mast
Bibliographic record
Abstract
This study applies the reaction theorem to efficiently calculate the interference between antennas. Conventional methods to calculate the interference between antennas required a full-wave analysis when the distance or position between the antennas was changed, increasing the analysis time. By utilizing the reaction theorem for the antenna interference calculations, the individual antennas can be analyzed using the full-wave analysis, and environmental effects, such as antenna placement and platform, can be considered using the reaction theorem. The reaction theorem was applied to formulate the antenna interference problem. The proposed scheme was validated by comparing the results computed utilizing the reaction theorem and those computed by full-wave analysis of the coupling between blade and wire dipole antennas. The effect of the conducting plates was considered by applying the image theory. Finally, the coupling between two array antennas was considered. The array comprised vertical infinitesimal dipoles. Two arrays were placed on the neighboring faces of the integrated mast structure and the reaction between the arrays was calculated as a function of the main beam direction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".