Adaptive optics telemetry tools for REVOLT: a deep dive into telemetry
Bibliographic record
Abstract
REVOLT (Research, Experiment and Validation of Adaptive Optics with a Legacy Telescope) is an adaptive optics (AO) system on the 1.2-m telescope at the Herzberg Astronomy and Astrophysics Research Centre which is intended to demonstrate various AO developments, technologies, and algorithms. This AO system is a platform to test the Herzberg Extensible Adaptive optics Real-time Toolkit (HEART) where new AO control features can be exercised on-sky ahead of deployment on a facility class instrument. In this paper, we present various analysis of the telemetry produced by HEART and its various wavefront-sensing arms that enable both open- and closed-loop operation including a closed-loop Shack-Hartmann wavefront sensor, a closed-loop pyramid wavefront sensor, and an open-loop Shack-Hartmann. Employing REVOLT’s single-conjugate AO configuration, we look at extracting the Fried parameter and other atmospheric parameters from the telemetry and compare the results to an in-situ Ring Image Next Generation Scintillation Sensor (RINGSS) atmospheric seeing monitor and optical turbulence profiler. Finally, we discuss the AO system’s rejection-transfer function and overall system’s performance.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".