REVOLT: an on-sky adaptive optics technology research platform on a 1.2m telescope
Bibliographic record
Abstract
The Research, Experiment and Validation of adaptive Optics on a Legacy Telescope (REVOLT) project is an on-sky AO technology research platform which was commissioned at the Dominion Astrophysical Observatory’s (DAO) 1.2m telescope in Victoria, Canada in June 2022. The goal of the project is to provide a flexible and expandable AO system to test a wide variety of technologies and control strategies with rapid deployment to sky. To date, REVOLT has enabled the first on-sky use of the Herzberg Extensible Adaptive Realtime Toolkit (HEART), a realtime controller software package developed at the National Research Council of Canada’s Herzberg Astronomy and Astrophysics (NRC-HAA) research centre, slated to be deployed on multiple future AO instruments. REVOLT has provided the first on-sky demonstration of First Light Imaging’s C-Blue-One CMOS camera as a Shack-Hartmann Wavefront Sensor (SH-WFS), and demonstrated injection of the science PSF into a single mode fiber to feed experimental Spectral Correlation Sensor technology being developed to detect gas signatures in planetary atmospheres. Since its initial commissioning as a Single Conjugate AO (SCAO) system, an open loop arm, the GIRMOS Open Loop Demonstration (GOLD) arm, has been added to test OL calibration and control, and a Pyramid WFS (PWFS) arm has been added with the goal first of testing the Gemini Planet Imager 2 (GPI-2) HEART pipeline, as well as provide an on going test platform for PWFS research. This paper provides a full description of the current REVOLT system, summarizes the performance of each experiment conducted to date, highlights future plans and openly invites proposals for collaboration from the AO community.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".