Amplification and front facet reflectivity of broad area lasers
Bibliographic record
Abstract
The effect of front-facet reflectivity on the amplification performance of Broad Area Laser (BAL) diodes in a double-pass configurationis studied experimentally. A method to measure the front facet reflectivities of laser diodes is generalized to BALs. The method is based on fitting a model, with front facet reflectivity as a parameter, to the threshold current vs. external feedback of the diode. Reflectivities of three BAL diodes are measured, and their amplification abilities have been assessed. The tested diodes had amplification factors of 0, 1, and 10 and front facet reflectivities of 12.7 +/-1%, 4.6 +/-0.4%, and 1.2 +/-0.2% respectively. It is concluded that a front facet modal reflectivity of less than 4.6% is necessary for a BAL to function as an amplifier.
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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".