Construction and operation of a cloud detector to assist astronomical observations
Bibliographic record
Abstract
The Solar Tower Atmospheric Cherenkov Effect Experiment (STACEE) is a ground based gamma ray telescope which studies active galatic nuclei (AGNs). As a ground based experiment, data quality is directly related to atmospheric conditions. This thesis describes the process of verifying the reliability of astronomical weather predictions made by the Canadian Meteorological Service (CMS). This includes a description of the construction, calibration, and operation of a cloud detector at McGill University in Montreal, Canada. Cloud cover data was collected from the beginning of September, 2003, to the beginning of November 2003. These data were compared to cloud cover weather predictions made by the CMS. A blind analysis consisted of scaling the CMS and real data, and calculating the correlation coefficient between these two sets of data. The correlation between the predictions and real sky conditions was 0.4622, well above the 0.1% significance level of 0.1906 Thus the CMS is determined to be a reliable weather predictor, and useful to the STACEE group.
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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 | 0.001 |
| 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".