On-chip Fourier transform spectrometers by dual-polarized detection
Bibliographic record
Abstract
Chip-scale Fourier transform spectrometers (FTSs) have recently emerged for inexpensive, high-resolution spectroscopic applications. In particular, spatial-heterodyne FTSs (SH-FTSs) have drawn considerable attention with a simple and stable configuration based on an array of Mach–Zehnder interferometers (MZIs) with linearly increased optical path differences. There is a significant trade-off between spectral performance and the MZI number. In this work, we propose a dual-polarized SH-FTS, detecting both fundamental transverse electric and transverse magnetic modes, on a silicon photonic chip. Our experimental results show that, compared to the conventional single-polarized design, the MZI number of the dual-polarized SH-FTS can be nearly halved for a smaller footprint with little compromise of spectral performance.
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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".