Characterization of Subpicosecond Pulses Based on Temporal Interferometry With Real-Time Tracking of Higher Order Dispersion and Optical Time Delay
Bibliographic record
Abstract
In the complete reconstruction of ultrashort optical pulses based on temporal interferometry, the chromatic dispersion and the optical time delay are two key factors, which determine the measurement accuracy. Due to the higher order dispersion, the wavelength-to-time mapping becomes nonlinear, leading to a nonuniformly spaced interference pattern and a decreased fringe visibility in the time domain, even though the input pulse is transform limited. On the other hand, an estimation of the time delay difference with a minor deviation from the true value will result in an artificial linear chirp in the reconstructed phase of the pulse under test. In this paper, a rigorous mathematical analysis on the nonlinear frequency-to-time mapping is performed, with which the phenomena of a nonuniformly spaced interference pattern and a decreased fringe visibility are explained. A frequency-to-time mapping function including higher order dispersion is developed. With a general mapping function, using a transform-limited pulse as the reference signal, we propose a method for real-time tracking of the system parameters, including the chromatic dispersion corresponding to all the optical devices incorporated in the system and the time delay introduced by the interferometer. Finally, a complete reconstruction of a 237 fs optical pulse is demonstrated experimentally with an average angular error of 0.18 rad ranging from 190.65 to 193.85 THz.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 teacher head, 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".