Measurements of differential chromatic dispersion and contrasts in a hectometric silica fiber interferometer in the frame of the 'OHANA Project
Bibliographic record
Abstract
In the frame of 'OHANA project (phase II), IRCOM institute is in charge of the 300-meters-long silica fibres devoted to link the Canada France Hawaii Telescope and the GEMINI telescope over J and H-band. In this paper, we report a method to compensate the differential chromatic dispersion between two 300m-long silica polarization maintaining fibres. It consists in adding short fibre length (from 0 to 3 m) on the less dispersive arm. We experimentally demonstrate that the chromatic differential dispersion is different for the two neutral axis of the polarization-maintaining fibre and that a tradeoff between order 2 and 3 of the chromatic dispersion is necessary to reach the best results. Moreover, thanks to a channeled spectrum analysis and using a Taylor series expansion, the spectral phase is analyzed around a mean frequency. Using these data, it is possible to foresee the evolution of the fringes contrast as a function of the additional fibre length. These simulations fit properly the measurements of the fringes contrasts demonstrating the good modeling. At least, we simulate the variation of the contrast as a function of wavelength and spectral resolution over a given spectral window. Consequently, we are able to adjust the fibre lengths in order to perform a coherent linkage maximizing the contrast over J and H-band. The work reported in this paper is part of a global work on fibers in the 'OHANA project. In another paper, Kotani et al. describe the results achieved on fluoride glass fibers devoted the astronomical K-band.
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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 | 0.000 | 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 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".