A Crossover Network based Control Concept for the Tip-Tilt Rejection in the Mid-Infrared ELT Imager and Spectrograph (METIS)
Bibliographic record
Abstract
The telescope instrument Mid-infrared ELT Imager and Spectrograph (METIS) is currently under development and will enable high-resolution spectroscopic and coronagraphic imaging. To obtain diffraction-limited measurements despite wavefront disturbances, METIS uses a single conjugate adaptive optics (SCAO) system comprising the active mirrors M4/M5, a pyramid wavefront sensor, and a controller. Because tip-tilt wavefront disturbances are dominant, the main task of the METIS-SCAO system is their rejection. Since M4 and M5 can redundantly correct tip-tilt errors and M4 features much faster dynamics and smaller actuator strokes than M5, the METIS-SCAO system is a dual-stage system. In order to achieve a proper tip-tilt correction for METIS while splitting this correction efficiently between the active mirrors, we present a new crossover network (CN) based control concept. This concept assigns low-frequency high amplitude tip-tilt error components to M5 and high-frequency small amplitude components to M4 via a specific type of CNs. Subsequently, two independent single-input single-output controller command the active mirrors, such that the assigned error components are corrected. Simulations show that the presented control concept rejects tip-tilt wavefront errors well for medium observation conditions.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".