AIT support equipment design for METIS
Bibliographic record
Abstract
The Mid-Infrared ELT Imager and Spectrometer (METIS) is a first light instrument for the Extremely Large Telescope (ELT) in Chile, covering the 3-19 micrometer wavelength range in the mid-infrared. As the project entered system Assembly, Integration, and Testing (AIT) phase at Leiden University in early 2026, dedicated Support Equipment (SEQ) is essential for safe handling, accurate alignment, and efficient verification of the instrument and its subsystems. This paper presents the design and realization of the SEQ units developed by the Academia Sinica Institute of Astronomy and Astrophysics (ASIAA). These units include the AIT Support Frame (ASF), the ASF/METIS transport container, the cleanroom booth, the cryostat AIT Lifting Platform (ALP) and subsystem ALP. The SEQ design requirements, engineering simulations, structural analyses, and final implementation are presented. The completed units delivered to the METIS AIT facility demonstrate the readiness of METIS for the integration and verification phase.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.015 |
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".