Measuring chromatic dispersion using single-arm interferometers: from millimeters to kilometers
Bibliographic record
Abstract
We present three new interferometric techniques for dispersion characterization covering from millimeter waveguides to kilometers of fibers. The first is a Frequency-Shifted Interferometer (FSI) that measures fibers from meters to tens of kilometers. The second is a three-wave Single-Arm Interferometer (SAI), where the envelope of a three-wave interference pattern yields the second-order dispersion directly. It is suitable for fibers from centimeters to >1m. The third is a Common-Path Interferometer (CPI) that measures dispersion of millimeter-long fibers/waveguides. These techniques offer high precision in their respective ranges, and are all "single-arm" interferometers: the two interfering beams go through the same arm of the interferometer. They are simple, low-cost, and more resilient to phase and polarization instabilities than conventional interferometric techniques for dispersion measurement.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".