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Record W2012007363 · doi:10.1117/12.857382

The JWST tunable filter imager (TFI)

2010· article· en· W2012007363 on OpenAlex
René Doyon, J. B. Hutchings, Neil Rowlands, Clinton Evans, Eran Greenberg, C. S. Haley, Alan Scott, D. Touahri, Martin Beaulieu, David Lafreniére, Roberto Abraham, E. J. Barton, P. Chayer, Laura Ferrarese, A. W. Fullerton, Ray Jayawardhana, Doug Johnstone, A. R. Martel, A. W. Meyer, J. L. Pipher, Karl Saad, Marcin Sawicki, Anand Sivaramakrishnan, Kevin Volk

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 · 2010
Typearticle
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsSaint Mary's UniversityHerzberg Institute of AstrophysicsCOM DEV InternationalNational Research Council CanadaUniversity of TorontoCanadian Space AgencyUniversité de Montréal
Fundersnot available
KeywordsFilter (signal processing)Optical filterEnvironmental scienceRemote sensingComputer scienceMaterials scienceGeologyOptoelectronicsComputer vision

Abstract

fetched live from OpenAlex

The Fine Guidance Sensor (FGS) of the James Webb Space Telescope (JWST) features a tunable filter imager (TFI) module covering the wavelength range from 1.5 to 5.0 μm at a resolving power of ~100 over a field of view of 2.2'×2.2'. TFI also features a set of occulting spots and a non-redundant mask for high-contrast imaging. This paper presents the current status of the TFI development. The instrument is currently under its final integration and test phase.

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)0.000
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: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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