ANDES, the high resolution spectrograph for the ELT: opto-mechanical design of the cameras for the YJH spectrograph
Bibliographic record
Abstract
The ArmazoNes High Dispersion Echelle Spectrograph, or ANDES, is a second-generation instrument designed for use at the Extremely Large Telescope (ELT). As a fiber-fed echelle spectrograph, it consists of three spectral arms covering a wavelength range from 0.4 up to 1.8 μm, with the potential to extend coverage from 0.35 to 2.4 μm. This versatile instrument delivers an impressive spectral resolution of approximately 100,000, enabling highly sensitive observations of astronomical objects and phenomena, including exoplanets, fundamental scientific inquiries, and various cutting-edge research applications in astronomy. This article will describe the opto-mechanical design of the three cameras inside the YJH spectrograph. The mechanical design is based on an improved strategy used in instruments like CPAPIR, WIRCAM, SPIROU and NIRPS. The optical design is highly efficient and straightforward, employing the same four lenses for each band (Y, J, and H). The expected performance for the H-band will also be presented.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".