Demonstration of the formalistic equivalence of the JME and Poincare sphere techniques for polarization mode dispersion measurement: is there really only one polarimetric PMD measurement method?
Bibliographic record
Abstract
We have shown the formalistic equivalence between the Jones matrix eigenanalysis (JME) and Poincare sphere methods (which we propose should more logically be renamed as dispersion vector analysis (DVA)), both in the form of their associated equations of motion, but also in their robustness to the finite wavelength steps which are inevitably used in realistic measurements. In particular, for the case of finite wavelength steps, we demonstrate that, when using identical test procedures (the same initial states of polarization (SOPs) and the same polarimetric analysis of the output SOP, as a function of wavelength), the two methods yield identical results. Thus, the JME and DVA methods can be considered as differing only in the details of how the data is treated, but not in their test procedure nor in their susceptibility to error.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".