First results from a laboratory hypertelescope using single-mode fibers
Bibliographic record
Abstract
\n Context.In the future, giant optical interferometric arrays will be developed with\nkilometric baselines and a large number of telescopes. Such arrays could have\ndirect imaging capabilities if optimized beam combiners are used. \n Aims.This paper aims at studying the performance of an interferometric beam\ncombiner using single mode fibers and in the frame of a hypertelescope.\n Methods.A laboratory testbed called SIRIUS was developed. We describe the general\nconcept, the technical specifications and the results obtained. These results\nare analyzed with the help of a numerical simulator.\n Results.Direct images were obtained at the densified focus of SIRIUS. We show that the\nfibers greatly ease the pupil rearrangement. They also greatly improve the\nquality and the stability of the direct image. The computed images allow us to\nreproduce the effects of differential photometry and the influence of optical\npath difference variations. Optical path difference errors less than\n$\\lambda/10$ and differential photometries less than 60% are required to keep\nthe quality of the direct image.\n Conclusions.These results demonstrate the great potential of direct imaging\ninterferometric beam combiners for future optical large arrays. The excellent\ncomparison between experience and simulation clearly shows the simplicity of\nthe fibered pupil densifier. It also gives us a great confidence in the\nextrapolation of these results and specifications for future arrays with a very\nlarge number of apertures.\n
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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 | 0.002 | 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".