A dry air purge and condensation monitor for the CFHT primary mirror
Bibliographic record
Abstract
Over the typical 3-year primary mirror (M1) recoating schedule at the Canada France Hawaii Telescope (CFHT), throughput losses due to contamination and degradation of the M1 bare-aluminum coating exceeding 0.4 mag in U band are observed with MegaCam. It is hypothesized that extended periods of wet weather, leading to clusters of heavy condensation events on the primary mirror, leads to accelerated degradation of the bare aluminum coatings. In a preemptive effort to address this problem, a dry air purge system was implemented for the CFHT M1, prior to CFHT M1 recoating in 2020. Additionally, a camera system was implemented to detect condensation on the primary mirror using a simple image processing algorithm. As of May 2022, no significant condensation events have been observed on the CFHT M1.
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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".