FIBER OPTIC SENSORS BASED ON THE SAGNAC INTERFEROMETER AND PASSIVE RING RESONATOR
Bibliographic record
Abstract
Sagnac interferometers and passive ring resonators can be used to sense a wide range of environmental phenomena. This chapter begins with an introduction to the use of the Sagnac interferometer and passive ring resonator for rotation sensing. This includes an introduction to the Sagnac effect and continues with a discussion of its first commercial implementation in the form of the ring laser gyro. The chapter describes fiber optic gyros in both the Sagnac interferometer and passive ring resonator configurations for open- and closed-loop operation. Optical rotation sensors have made substantial progress in replacing conventional mechanical rotation sensors based on the principle of inertia of spinning masses. In contrast to the ring laser and passive ring resonator gyros that measure the Sagnac effect due to changes in the optical path length of a single circuit, the fiber optic gyro measures the Sagnac effect in a fiber coil having many turns.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".