Stimulated temperature scattering of eye-safe laser pulses
Bibliographic record
Abstract
Summary form only given. Stimulated temperature scattering (STS) has been known for many years. However, in practice it is difficult to use STS because of competing nonlinear processes, primarily stimulated Brillouin scattering SBS, which have lower threshold in the visible and near infrared regions. On the other hand, the backward (SBS) threshold increases with wavelength making application of SBS of nanosecond pulses with moderate energy at wavelengths above 1.3 /spl mu/m inefficient due to /spl lambda//sup 3/ scaling of the threshold. In a new generation of eye-safe lasers their spectral linewidth is relatively broad that also contributes to the increase of the SBS threshold. Since the increase of STS with wavelength is not so dramatic one can expect prevailing of STS over SBS at longer wavelengths. Our goal was to verify that STS can be reliably excited in eye-safe region, and to find STS media, which being not exotic or toxic, might be suggested as quite effective phase-conjugators for this region. We used a Nd:YAG laser as a pump and calcite crystal as the wavelength shifter to generate radiation at either 1384 nm or 1628 nm.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".