Gemini North adaptive optics system performance simulations
Bibliographic record
Abstract
The Gemini North Adaptive Optics (GNAO) system will replace the current AO system on the Gemini North telescope. GNAO will have a ground-conjugated deformable mirror (DM) and use an asterism of 4 sodium Laser Guide Stars (LGSs) which can be configured in both narrow and wide field modes. As part of one of the Adaptive Optics Bench (AOB) Phase A design study teams, NRC-HAA has used The Object Oriented Matlab Adaptive Optics (OOMAO)[3] simulation tool to model the performance of the GNAO system. A large parameter space has been explored, including the effects of wavefront sensor (WFS) and DM order, LGS asterism radius, and performance as a function of telescope zenith angle. Sky coverage as a function of tip/tilt performance was estimated using TIPTOP[5]. This work has been used to produce the expected error budget of the proposed AOB design.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".