Static DFOS: pushing towards the limits of chirped-pulse phase-sensitive OTDR
Bibliographic record
Abstract
Phase-sensitive optical time domain reflectometry (Φ-OTDR) techniques allow for distributed measurements of various physical quantities involving local optical path variations along optical fibers, typically in response to either strain or temperature changes. Chirped-pulse (CP) Φ-OTDR being a relative measurement, errors on the integrated signal accumulate in time, thus degrading slowly varying temperature measurements. This can be solved by performing a mapping of the fiber's Rayleigh scattering as a function of wavelength, which provides an absolute frame of reference for strain and temperature changes. However, previously assumed limitations required using impractically high wavelength tuning resolutions. In this paper, relying on a theoretical description, supported by numerical simulations and experiments, we show that this apparent limit of CP-Φ-OTDR is only noise related and can be overcome thanks to the spectral content of the chirp. This paves the way for industrial applications.
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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 | 0.000 |
| 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".