Pulse-to-Pulse Stability Comparison Between 810 1030 and 1064nm Pulsed Laser
Bibliographic record
Abstract
We present a pulse-to-pulse (P2P) stability comparison between three different kinds of laser. The first laser is a Ti: sapphire laser operating at 810nm spectral region. The second laser is an Ytterbium-doped (YDF) pulsed fiber laser working at 1030nm which its bandwidth generated directly at the seed laser. The third laser is an YDF pulsed fiber laser operating at 1064nm which its spectrum is broadened in the amplifier stages due to the self-phase modulation (SPM). P2P fluctuation of 2, 2.8 and 3.4 percent are achieved respectively for original wavelength of 1030, 810 and 1064nm pulsed lasers. Furthermore, P2P fluctuation of 4.3, 14.5 and 16.3 percent are achieved respectively for SHG signals of 1030, 1064 and 810nm pulsed lasers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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 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".