Conceptual design of the NFIRAOS Science Calibration Unit
Bibliographic record
Abstract
The NFIRAOS Science Calibration Unit (NSCU) is a large subsystem of NFIRAOS that provides calibration light for the instruments fed by NFIRAOS. It is physically separate from NFIRAOS proper, located outside of the NFIRAOS optics enclosure and ahead of the NFIRAOS entrance window. The NSCU incorporates flat-field illumination sources and the relay optics necessary to inject calibration light into the NFIRAOS optical path, including a fold mirror which is retracted for night-time science observations, allowing telescope light to pass through the NSCU directly into NFIRAOS. The two major requirements of the NFIRAOS science calibration unit (NSCU) are to provide flat-fielding and wavelength-calibration illuminations to NFIRAOS-fed instruments for calibration of scientific data and to provide pupil-simulated telescope beams to NFIRAOS for calibration of the telescope pupil. This paper will summarize the optical and mechanical designs of the NSCU, including light sources and relay optics design, structural trade studies and downselection, and alignment and integration considerations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".