Fiber-Based Photonic Generation of High-Frequency Microwave Pulses With Reconfigurable Linear Chirp Control
Bibliographic record
Abstract
A fiber-based approach for linear and continuous chirp control in photonics microwave pulse generation is proposed and demonstrated. The technique is based on spectral pulse shaping combined with nonlinear frequency-to-time mapping (FTM). Particularly, the proposed fiber-optics method provides an unprecedented arbitrary chirp-rate control by combining spectral shaping induced by dispersion unbalance in a fiber interferometer, resulting in a nonlinear-chirp frequency interference pattern, with nonlinear FTM. Full linear chirp reconfigurability, including positive, negative and zero chirp rates, is achieved from a single fiber-optics platform by simply varying the relative delay between the interferometer arms. Moreover, a simple balanced photodetection strategy is implemented to achieve dc-free microwave pulses with significantly improved noise figures. High-quality dc-free gigahertz-frequency microwave sinusoids were successfully generated with central frequencies ranging from 100 MHz to 25 GHz and chirp rates ranging from -160 MHz/ns to +160 MHz/ns.
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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) | 0.000 | 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".