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Record W4240992454 · doi:10.1117/12.926672

Cryogenic performance test results for the flight model JWST fine guidance sensor

2012· article· en· W4240992454 on OpenAlex
Neil Rowlands, Sandra Delamer, C. S. Haley, Eric Harpell, M. Begoña Vila, Gerry Warner, Julia Zhou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsCOM DEV International
FundersSpace Telescope Science InstituteNational Aeronautics and Space Administration
KeywordsTest (biology)Aerospace engineeringComputer scienceEnvironmental scienceEngineeringGeology

Abstract

fetched live from OpenAlex

The flight model Fine Guidance Sensor (FGS) on the James Webb Space Telescope (JWST) has successfully completed its performance verification tests. The FGS cryogenic test is described along with some of the key guider performance results which have been obtained. In particular we describe the noise equivalent angle (NEA) performance as a function of guide star magnitude for the guider tracking mode. Tracking mode must be able to follow a guide star moving across the field of view of either guider, primarily to allow the Observatory line of sight to settle in advance of the fine guidance mode. FGS tracking mode will also be used for JWST’s moving target observing mode. The track testing made use of the two movable sources within our JWST telescope simulator. The NEA of the FGS-Guiders will in part determine the ultimate image quality of the JWST Observatory.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.015
GPT teacher head0.220
Teacher spread0.206 · 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