Numerical study of pulse width dependence of SHG in QPM waveguides
Bibliographic record
Abstract
Quasiphase matched (QPM) wavelength converters have attracted much attention due to their versatile applications, such as unltrashort-pulse generation at short wavelength. The behavior of pulse propagation in QPM waveguides has been an interesting research topic around the world. In this report, numerical study of second harmonic generation (SHG) in QPM waveguides is, for the first time, performed systematically for the fundamental pump pulses from nanosecond to femtosecond. In the proposed theoretical approach, all the dispersion effects are considered. Furthermore, our simulations take into account not only the SHG effect but also the sum frequency generation (SFG) effect on the nonlinear interaction when a pulsed pump light is used. Group-velocity mismatch (GVM) and phase-velocity mismatch are also considered in the study. Therefore, the proposed simulation model is suitable for analyzing the SHG of ultrashort-pulse since the spectral full width at half maximum (FWHM) increases with the decrease of pump pulse width. It is shown that conversion efficiencies are strongly dependent on the fundamental pulse width since the walk-off effect gradually dominates with the decrease of the fundamental pulse width. Furthermore, the temporal FWHM of converted pulses is determined by the fundamental pulse width as well as the effective interaction length related to the GVM. Under the condition of large GVM, large distortion exhibits in converted pulses. The dependence of the conversion efficiency on pump energy is also studied. The results show that the conversion efficiency saturates when the pump energy increases. The simulation results provide a guideline of device design and applications of the QPM wavelength converters in ultrashort-pulse region.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".