Continuously Tunable Microwave Frequency Multiplication by Optically Pumping Linearly Chirped Fiber Bragg Gratings in an Unbalanced Temporal Pulse Shaping System
Bibliographic record
Abstract
We propose and demonstrate a new and simple method for achieving continuously tunable microwave frequency multiplication using an unbalanced temporal pulse shaping (TPS) system incorporating two linearly chirped fiber Bragg gratings (LCFBGs) written in erbium/ytterbium co-doped fibers. By optically pumping the LCFBGs with different pumping power, the dispersion of the LCFBGs is tuned. The incorporation of the LCFBGs in an unbalanced TPS system would enable the generation of a frequency tunable microwave waveform. The operation of the system is discussed which is then verified by an experiment. Continuously tunable microwave frequency multiplication with a multiplication factor from 5.14 to 11.9 is experimentally demonstrated. The impact of the ripples in the magnitude and group delay responses of the LCFBGs on the performance of the microwave generation is also studied.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".