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Record W4399670944 · doi:10.1117/12.3019224

Conceptual design of the NFIRAOS Science Calibration Unit

2024· article· en· W4399670944 on OpenAlexaff
Peter Byrnes, Jenny Atwood, Jean-Thomas Landry, Marc-André Boucher, P. Spanò, Glen Herriot

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCalibrationComputer scienceUnit (ring theory)Conceptual designSystems engineeringEngineeringHuman–computer interactionMathematicsMathematics education

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.150

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.253
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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