The Woofer-Tweeter experiment
Bibliographic record
Abstract
The Woofer-Tweeter experiment started in the Adaptive Optics Laboratory of the University of Victoria in February 2005 has recently achieved completion. The goal of this experiment is to validate the woofer-tweeter AO concept i.e. instead to have a single deformable mirror conjugated at the ground, two DMs conjugated at the ground are used to achieve both the necessary stroke and actuators density required for a single DM for an ELT. Recently, the loop has been closed on the turbulence with a loop rate of 100Hz. Two closed-loop controllers have been tested so far: a global integrator and a tweeter off-loading integrator. This paper describes the UVic Woofer-Tweeter bench layout and components and the Woofer-Tweeter simulation tool used to both model and control the experiment. A glimpse on the very first results from the closed-loop operations is also given.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".