Single‐wavelength fiber laser for localized temperature monitoring
Bibliographic record
Abstract
Abstract We report on a single‐longitudinal‐mode single‐wavelength fiber laser and its applications for measuring localized temperature variation. The laser was developed using a fiber Bragg grating. The laser wavelength was single‐longitudinal‐mode with optical signal‐to‐noise ratio (OSNR) of more than 40 dB. The temperature sensitivity of the system was 11.08 pm/°C. To demonstrate the promising application of the laser sensor developed, we used the sensor to monitor the localized temperature of TiO2 nanotubes during the photochemical process, and superparamagnetic iron oxides nanoparticles when exposed to low frequency magnetic field. The output of the laser was monitored using a scanning Fabry–Perot spectrum analyzer of resolution 6.7 MHz and an optical spectrum analyzer of resolution 3.75 GHz. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1941–1946, 2010; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/mop.25383
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".