Sensitivity Optimization in SRRs Using Interferometry Phase Cancellation
Bibliographic record
Abstract
In this paper, an optimization technique is introduced for microwave planar sensing that employs split ring resonators (SRRs) in an interferometer structure. A phase shifter provides a second path parallel to SRR with additional 180-degree phase that results in their destructive summation at the output and a sharp notch in transmission is produced. The notch is designed adjacent to the resonator ~ 4 GHz and the sensing parameter is the amplitude variation of the notch. It is shown that the notch can be created with arbitrary material loading only using proper phase shifting. The dynamic range of sensing is improved from Δf/f0≅ 1% in conventional frequency tracking of the SRR to as high as Δ|S21|/|S21-0| = 40% in the proposed notch-depth tracking. This helps detecting methanol in ethanol to be improved at the limit of detection by 14 times using the proposed technique.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".