An iterative model for MEMS deformable mirrors
Bibliographic record
Abstract
We present a high accuracy Micro-Electro-Mechanical-System (MEMS) deformable mirror (DM) control algorithm currently implemented in the real-time control interface of the Subaru Coronagraphic Extreme Adaptive Optics project (SCExAO). MEMS DMs are an attractive DM technology for Extreme-AO (ExAO) because they offer unprecedented actuator density and actuator counts. ExAO applications require a DM model capable of reproducing a phase map with a precision of few nm rms. The algorithm relies (i) on a physical model of the actuators and the membrane and (ii) on the optimization of DM coefficients and geometrical coefficients, and could be adopted as an open-loop control solution for future MOAO or ExAO ELTs instruments. During the initial tests performed at the UVic AO Lab, the performance of the model reached an open-loop error equal to 7.3% of the rms of the desired phase (1.6% of the peak-to-valley (PV) of the desired phase) with Kolmogorov type wavefronts.
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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 | 0.001 | 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 | 0.001 | 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 | 0.000 |
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".