The HST Data Archive as a Discovery Tool: First Experiment
Bibliographic record
Abstract
The Space Telescope European Coordinating Facility and the Canadian Astronomy Data Centre have started a projet aimed at augmenting the way an astronomer an query the Hubble Space Telescope science archive. Today the HST archive contains more than 70,000 WFPC2 expo-sures. We are preparing an automatic pipeline that will extract several parameters from those images. A list of all the sources seen by WFPC2, along with photo-metrical, morphological and astrometric measurements of both the detected astronomical sources and of the background will be extracted. Astronomers will make use of such a database to query the archive in a more sophisticated and scientific manner, that is in the way they think, not in the way the archive is built. This new approach will allow queries of the kind: search for high latitude fields having a certain limiting magnitude and where the density of extended sources is greater than a certain threshold. Nowadays, with the advent of huge detectors over big fields of view, such an approach becomes a must. The catalog of extracted objects will be immediately useful to prepare a wide range of scientific programs for the 8 - 10 meter class telescopes, e.g., multi-object spectroscopy of HST sources.
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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 | 0.001 | 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 | 0.004 |
| Open science | 0.001 | 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".