Ultrafast Surface Imaging With an Increased Spatial Resolution Based on Polarization-Division Multiplexing
Why this work is in the frame
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Bibliographic record
Abstract
Optical time stretch has been employed for ultrafast optical imaging based on space-to-wavelength-to-time mapping. However, temporal overlap between two adjacent time-stretched pulses is a disadvantageous factor that limits the spatial resolution, or the frame rate has to be reduced by reducing the pulse repetition rate to avoid the temporal overlap. To increase the spatial resolution without reducing the frame rate, we propose a novel technique based on polarization-division multiplexing, using a polarization modulator to generate two polarization interleaved pulse trains. Since two adjacent optical pulses are orthogonally polarized, the spacing between two adjacent pulses for one polarization direction is doubled, and the spatial resolution is doubled by using a dispersive element with two times the dispersion. The proposed approach is experimentally evaluated. An imaging system with an increased spatial resolution is demonstrated.
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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 | 0.001 |
| 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 it