Development and Evaluation of a Polarization-Division Interferometer with Cube Corner Mirrors
Bibliographic record
Abstract
The use of cube corner mirrors in conventional Fourier transform infrared (FT-IR) spectrometers has led to increased stability and enhanced signal-to-noise ratio. Polarization-division interferometers for the mid- and far-infrared regions, however, were based on either the Martin–Puplett design, which utilizes roof-top mirrors, or the Michelson interferometer design, which utilizes the plane mirrors. In this paper, we report the development of a polarization-division interferometer with cube corner mirrors. In this design, two different wire-grid beamsplitters are used for the division and recombination of polarized light. The performance of this new instrument has been evaluated by measuring the linear dichroism of oriented films and the circular dichroism of isotropic samples. This development facilitates the adaptation of commonly used FT-IR spectrometers with cube corner mirrors for polarization-division configuration.
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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".