Design of a Helical-Shaped TM<sub>01</sub>–TE<sub>01</sub> Mode Converter Based on Eigenmode Expansion Method
Bibliographic record
Abstract
A novel helical-shaped circular TM01–TE01 mode converter working in the X-band is proposed in this article. By combining the polarization conversion of rays in free space and mode conversion in a waveguide, the mode conversion potential between TM<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{{0}m}$ </tex-math></inline-formula> mode and TE<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{{0}{n}}$ </tex-math></inline-formula> mode of helical corrugated waveguide (HCW) is fully explored. Through the eigenmode expansion method, the process of mode conversion in HCW can be clearly demonstrated, guiding the construction of the final helical-shaped TM01–TE01 mode converter. Simulation results reveal a peak conversion efficiency of 99.6% at 8.6 GHz and a bandwidth of 16.5% with over 95% conversion efficiency (center frequency 9 GHz). In addition, the mode converter has a power capacity of gigawatt level with a longitudinal length of only 3.81 wavelengths. To validate the structure, a prototype was fabricated and measured. The results of the experiment are in great agreement with the simulation, which verifies the effectiveness of this proposed mode converter.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".