All-fiber laser beam shaping at 1.0 μm wavelength region in a single-mode fiber
Bibliographic record
Abstract
Laser beam shaping is an important subject in industrial and medical applications of lasers since different applications may require different laser intensity distributions. Recently we demonstrated successfully an all-fiber laser beam shaping device that could transform a Gaussian shaped laser beam into a uniform or ring-shaped beam in 1.5 μm wavelength region. In this paper we present the work of the beam shaping in 1.0 μm wavelength region to make it compatible to Yb-doped high power fiber laser. The device uses a long-period grating to couple a portion of core-mode, LP01 into a low-order mth-radial cladding mode LP0m. Interference of the two modes could reduce field at the centre and enhance the field in the first or second ring of the cladding mode to transform the Gaussian-shaped laser beam to an intensity uniform beam. The design parameters that affect the beam shaping will be discussed and the results of the interference from two cladding modes, LP03 and LP04 will be presented.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".