Acquisition and Dithering with the TMT IRIS On-Instrument Wavefront Sensor System
Bibliographic record
Abstract
IRIS is a first-light facility instrument for the TMT that operates as a client of the NFIRAOS MCAO system. IRIS is a collaboration between TMT, Caltech, the University of California, NAOJ and NRC Herzberg. IRIS contains three On-Instrument WaveFront Sensors (OIWFS) probes which together with On-Detector Guide Windows (ODGW) on the IRIS imager, pick off light from natural guide stars over a two arcminute diameter field of regard. Here, we present typical use cases for the OIWFS and ODGW including acquisition, dithering, and tracking non-sidereal targets while highlighting design choices that allow these operations to be performed in the minimal amount of time while achieving the required performance. We conclude with some potential changes that will be explored early in the final design phase.
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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 | 0.001 | 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".