Effect of feed phase errors on the crosspolarization of offset reflector antennas
Bibliographic record
Abstract
Abstract The impact of feed phase errors on the crosspolarization of offset reflector antennas is studied.The primary feed is assumed to be linearly polarized, with symmetrical E‐ and H‐plane patterns independent of ϕ. They are modeled by a cosnθ function, along with an extra term to account for the phase errors. Both linear and quadratic phase variations are studied. A broad range of focal length to diameter ratios, f/D from 0.5 to 1.1, are considered to investigate the crosspolarization properties in the presence of phase errors. It is shown that the reflector crosspolarization increases drastically when there is a linear phase error associated with the primary feed pattern. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:231–235, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25643
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".