Ultra-high-intensity 1550-nm single junction pulsed laser diodes
Bibliographic record
Abstract
New generation of eye safe military applications such as range finding, short range illumination and friend or foe identification have started to use the 1550nm wavelength region. This was encouraged by the advent of diode lasers efficient enough to approach the output power of shorter wavelength, 850nm and 905nm devices. This paper will review the actual performance and technologies of various commercially available 1550nm pulsed laser diodes. The performance and reliability of a new high brightness 1550nm semiconductor laser diode are disclosed and compared. Peak power of up to 35 Watts is achieved out of a single junction 350 micron stripe laser. Similarly, peak power in excess of 20W is achieved with a 180 micron stripe laser. This represents an optical power density of 11.1M W/cm2. Other key advantages of this new laser are a fast axis FWHM divergence of 25 degrees and less than a 10mRad divergence after fast axis collimation. The new diode technology will be explained in some detail covering aspects of design, fabrication and adaptation to meet its final target performances. A description of the optimization of chip dimensions and laser packaging is also undertaken. Finally, various ideas are offered to further improve the laser efficiency and power.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".