Wavefront Sensing and Correction via Compressive Sensing and Advanced Photonic Devices
Bibliographic record
Abstract
Turbulence-induced wavefront distortion poses a sig-nificant obstacle in the implementation of large constellation co-herent modulation techniques in optical satellite-to-ground feeder links. The challenging atmospheric conditions of low earth orbit satellite systems, characterized by short coherence times and small spatial coherence widths, necessitate the development of fast and simple wavefront estimation and correction methods. This paper presents an innovative solution to this problem, by proposing a wavefront sensing and correction system that utilizes fast optical phase shifters, optical grating couplers, and compressive sensing techniques to mitigate the effects of turbulence-induced wavefront distortion. Numerical simulations demonstrate that the proposed approach effectively combats wavefront distortion using a small measurement ratio of less than 0.001, where the measurement ratio is the ratio of the number of measurements to the total number of wavefront pixels. In addition, the proposed approach can effectively address phase mismatches between the optical carrier and the local oscillator.
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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 | 0.000 | 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 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".