Final mechanical design of the Gemini Infrared Multi-Object Spectrograph (GIRMOS) cryostat
Bibliographic record
Abstract
In this paper we discuss the final mechanical design of the GIRMOS Cryostat. GIRMOS is an adaptive optics fed multi-object Integral-Field Spectrograph (IFS) with a parallel imaging capability and will be installed at the Gemini North Observatory. This instrument includes four identical spectrograph channels arranged symmetrically around a central optical axis which provides it with a multiplexing capability. GIRMOS has an object selection sub-assembly (OSEL) located upstream of the spectrographs which contains four motorized fold mirror assemblies that can scan the incoming light from the telescope to look at four separate sections of the sky simultaneously or can combine their efforts to look at a single larger section of the sky in a tiled mode. Each of the four individual IFS beams from the OSEL assembly is directed into the instrument Cryostat via its dedicated optical entrance window. Within the Cryostat each IFS beam moves through an anamorphic relay, an optical image slicer assembly, and eventually makes it to a spectrograph unit. In this paper, we will provide some details regarding the vacuum chamber design that houses the spectrographs, the design of the internal support structure, the opto-mechanical packaging of the IFS along with some of the thermal load mitigation techniques employed.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".