Femtosecond laser microfabricated fiber Mach–Zehnder interferometer for sensing applications
Bibliographic record
Abstract
We demonstrate a femtosecond laser microfabricated fiber Mach-Zehnder interferometer and reveal the dependences of the sensitivities of different environmental parameters on the specifications of the interferometer. A 30-mm-long fiber interferometer at a wavelength of 1593 nm exhibits a temperature sensitivity of 0.103 nm/°C, axial strain sensitivity of -1.35 pm/με, and refractive index sensitivity of -15.294 nm/RIU, respectively. In addition to dependence on interferometer length, the sensitivities are also strongly dependent on the operation wavelength of the selected interference order. When the operation wavelength is selected at 1525 nm, the sensitivities are 0.085 nm/°C, -0.09 pm/με, and -13.824 nm/RIU, respectively.
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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".