Time-domain optical reflectometry measurements using a frequency comb interferometer
Bibliographic record
Abstract
We characterize the temporal response of fiber-optic components using a fiber-based frequency comb interferometer; measurements are compared and validated against a commercial instrument. The main advantage of the instrument lies in the absence of moving parts or a tunable laser, leading to very fast scanning. A measurement of a mechanical distortion, cycled at 130 Hz, on a fiber Bragg grating (FBG) is presented. A complete profile of the mechanical distortion is taken every 2.5 ms (400 Hz scanning speed) and each "snapshot" is taken in 200 micros. This scanning speed was arbitrarily chosen, and the instrument could be set to scan much faster, up to hundreds of kilohertz. With high-reflectivity FBGs, the same instrument could scan simultaneously the profile of 140 wavelength-multiplexed FBGs at 2 kHz.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 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".