Uncovering fluctuations in atmospheric transmission using the VERITAS pointing monitors
Bibliographic record
Abstract
Our project encompasses the creation of software that provides nightly estimates of atmospheric transmission and tracks its long-term fluctuations for the VERITAS telescopes. Using archived image files taken from the pointing monitors of the VERITAS telescope, we wrote software that selects stars of appropriate brightness and quantifies their intensity. We then plotted the star intensity as a function of the secant of the telescope angle from the zenith and observed a linear relationship. The ratio of this slope divided by its intercept has a value that is independent of the stars chosen and is proportional to the length of attenuation of light travelling through the atmosphere. By analyzing nightly data for all four telescopes, one can measure the magnitude of the fluctuations in atmospheric transmission using the ratio of the slope over the intercept. This method will allow improvements in the quality of the measurements taken by the VERITAS telescopes, by giving VERITAS control over the effects of the atmosphere on their star intensity data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".