The Canadian Roots of the TMT First Light Instruments NFIRAOS and IRIS
Bibliographic record
Abstract
The two most advanced instrument concepts for the Thirty Meter Telescope (TMT) work together and both have substantial Canadian participation: The Narrow Field Infrared Adaptive Optics System (NFIRAOS) is the first-light facility Multi-Conjugate Adaptive Optics (MCAO) system and is led by NRC Herzberg Astronomy and Astrophysics (HAA). The InfraRed Imaging Spectrograph (IRIS) is the first client instrument of NFIRAOS. The IRIS team is drawn from the University of California system, CIT, NAOJ, TMT, and NRC HAA.<br> <br> <br> NFIRAOS will provide diffraction-limited performance in J, H, and K bands<br> over a wide field. NFIRAOS will deliver images that will be the sharpest of any existing facility AO system. For astronomers to be fully satisfied with TMT + NFIRAOS + IRIS, they must be able to observe their key science programs. The laser guide stars, the use of MCAO, and on-instrument near-infrared wavfront sensors (OIWFSs) all contribute to achieving diffraction-limited performance 50% of the time at the North Galactic Pole. NRC HAA and its Canadian industrial contractors successfully passed the NFIRAOS final design review in June 2018.<br> <br> IRIS will use 4 mas pixels across a 34x34 arcsecond field of view. It will contain up to 60 broad and narrow-band filters that span wavelengths from 0.8 to 2.4 microns. IRIS contains two selectable Integral Field Spectrographs with varying spectral resolutions and platescales. NRC is responsible for the thermal and mechanical interfaces to NFIRAOS, as well as providing the rotator and OIWFSs. IRIS is scheduled to complete its final design review in early 2021.<br> <br> We present an overview of the key elements of the NFIRAOS and IRIS designs and highlight some of the important performance budgets and design solutions made along the way. We discuss the challenges and rewards of working with industry on large, complex instrumentation projects. We invite more Canadian participation in the science teams for these first light workhorse TMT instruments. Lessons learned from these instruments will be important as the 2nd generation of TMT instruments are planned.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.047 | 0.019 |
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".