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 TiO 2 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 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".