METIS cryostat and vacuum control
Bibliographic record
Abstract
Efficient temperature control is crucial for the optimal performance of the Mid-infrared ELT Imager and Spectrograph (METIS). To minimize instrumental thermal background radiation and ensure optimal performance, the instrument’s components, including the infrared detector arrays, must operate at extremely low temperatures, ranging from 35 K to 100 K. The cryostat control system plays a crucial role in achieving and maintaining the required vacuum conditions as well as thermal stability. The key challenge lies in designing and implementing a control system that can manage the cryostat environment in an efficient, reliable and safe way. The METIS cryo-control system is implemented on systems based on a BECKHOFF Programmable Logic Controller (PLC) and the EtherCAT fieldbus. It utilizes the ESO ELT Cryo-toolkit, which provides building blocks of components that support individual hardware components, such as sensors, valves, and pumps. While the toolkit does not provide a complete cryo-control system, it serves as a valuable foundation for constructing a functional and safe control system for METIS cryostat.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".