An Enclosure for the European Extremely Large Telescope
Bibliographic record
Abstract
In the last decades of the XXth century the development of new technologies such as the thin monolithic meniscus mirrors with active optics, the segmented mirrors and the adaptive optics broke the limitations in the feasible diameter for the primary mirror and caused the origin of the 8–10m class telescopes. Considering the successful operation of 8–10m class telescopes in operation as the KECKs and the VLTs, both the American Community and the European Community began to prepare the next generation of telescopes, the Extremely Large Telescopes. Within the American-Australian Community two projects are currently being developed: the TMT (Thirty Meters Telescope), a 30m segmented mirror telescope developed by USA and Canada, and the GMT (Giant Magellan Telescope), a 24.5 meter aperture multi mirror telescope developed by USA and Australia. In Europe, the European Organisation for Astronomical Research in the Southern Hemisphere (ESO) launched in December 2006 the Detailed Study of the European Extremely Large Telescope (E-ELT). The E-ELT is a 42m segmented primary mirror telescope with a five mirrors optical configuration. With respect to its enclosure, after some preliminary studies of different alternatives, a non co-rotating spherical dome configuration was selected.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".