Implementation of three functional devices using erbium-doped fibers: an advanced photonics lab
Bibliographic record
Abstract
This paper describes the design and implementation of an advanced photonics experiment aimed at the undergraduate students’ level. The experiment uses erbium-doped fiber to implement three functions through slight modifications of the setup. The functions are a broadband light source, a multi-wavelength optical amplifier, and a tunable fiber laser. As part of an Optical Communication Systems course, the experiment is targeted towards fourth year engineering students at the University of Toronto. The design of the experiment is especially attractive for large classes, where feasibility and cost effectiveness play a pivotal role. In addition the scope of the experiment was designed to illustrate a broad set of topics covered in the course, where students gain knowledge in: i) constructing a broadband source using the erbium-doped fiber amplified spontaneous emission (ASE) and characterize its emission spectrum; ii) modifying the ASE source into a broadband multi-wavelength erbium doped fiber amplifier (EDFA); studying gain tilt and noise figure (NF) of the EDFA with respect to input and pump parameters; and finally, iv) transforming the EDFA into a tunable erbium doped fiber laser (EDFL). Through this series of experiments, students will (i) appreciate the versatility of an important optical gain medium; (ii) develop a deeper understanding of the salient features of optical gain including stimulated and spontaneous emission, principles of laser and amplifier action; (iii) learn, through hands on experience, to operate advanced optical components and test and measurement instruments which all form an integral part of the optical communication industry; and finally(iv) integrate the building blocks they have encountered in textbooks into operational optical devices.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".