TMT wind model validation with measurements on Keck and Gemini
Bibliographic record
Abstract
Wind disturbance is an important parameter in the assessment of telescope performance, especially for extremely large telescopes like TMT. In the process of estimating the response of the TMT telescope structure to wind buffeting, we were carrying out measurements on the Keck and Gemini observatories in order to better understand the possible variations in the wind response of these different telescopes. The measurements were used to validate the TMT wind model as well as explaining the mechanism through which the wind disturbances affect the pointing of the elevation axis. We were estimating the wind torque acting on the elevation axis from the measured Disturbance Transfer Function and Position Error of the mount control. Furthermore, the quality of the correlation between wind speed and torque disturbance were investigated to evaluate the feasibility of mitigating the wind disturbance by introducing feed-forward or adaptive control schemes in the mount control.
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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".