Investigation of Asymmetric Phase Errors of an Optimized Dual-Mode Primary Feed on the Cross Polarization of Offset Reflector Antennas
Bibliographic record
Abstract
An analytic dual-mode primary feed is first modeled to illuminate offset reflector antennas to reduce their cross polarization. The feed is linearly polarized and includes the dominant TE11and higher order TE21modes. The phase error is then applied to the primary feed to investigate its impact on the cross polarization of offset reflector antennas. Two cases are studied in terms of which of the above-mentioned modes will be affected by the phase errors. The phase errors applying to the resultant dual-mode feed are studied as the first case. The second case includes the effect of phase error only on the higher order TE21mode resulting in different phase center locations for each mode. Asymmetric right-left phase patterns are used to conduct the study. Both linear and quadratic phase variations are studied. A broad range of focal-length-to-diameter (f/D) ratios from 0.5 to 1.1 are considered to investigate the reduced cross polarization properties in the presence of phase errors. It is shown that the reflector cross polarization increases drastically in the presence of the phase errors. In particular, the boresight-null cross polarization will no longer exist when the phase center location of the second mode is displaced from that of the dominant mode.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".