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Record W4286423385 · doi:10.1117/12.2630395

Managing NFIRAOS optical enclosure environment conditions from a high level software system

2022· article· en· W4286423385 on OpenAlexaff
Jonathan Stocks, Glen Herriot, David R. Andersen, Malcolm A. Smith, A. Densmore, Jennifer Dunn

Bibliographic record

VenueAdaptive Optics Systems VIII · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsEnclosureAdaptive opticsTelescopeComputer scienceSoftwareController (irrigation)Control systemReal-time computingEngineeringOpticsPhysicsElectrical engineeringTelecommunicationsOperating system

Abstract

fetched live from OpenAlex

NFIRAOS, the Narrow Field Infrared Adaptive Optics System, is the first light AO System for the Thirty Meter Telescope (TMT). It performs wavefront correction in the near infrared spectrum using various optomechanical components operating under strictly controlled conditions. The NFIRAOS Optical Enclosure (ENCL) is designed to provide a housing that maintains an ideal clean sub-zero environment (-30 ±0.5 C) for such components. To manage this, the ENCL provides a multi-leveled control system that accurately manages the environment using low-level hardware control to ensure that internal systems are not subjected to environmental effects that may adversely affect operation, while coordinating with the telescope operation. We will analyze the aspects of the operational constraints to allow the ENCL Control System to communicate with low level sensors and controllers as well as with the high-level Controller management system to ensure all operational conditions are fully met.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.022
GPT teacher head0.215
Teacher spread0.193 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2022
Admission routes1
Has abstractyes

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