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A New Measure for Optical Performance

2003· article· en· W7143853121 on OpenAlex

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

VenueOptometry and Vision Science · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced optical system design
Canadian institutionsAssociation for Canadian Studies
Fundersnot available
KeywordsOptical transfer functionWavefrontAdaptive opticsRoot mean squareMeasure (data warehouse)Metric (unit)Transfer functionModulation (music)Sensitivity (control systems)

Abstract

fetched live from OpenAlex

ABSTRACT: Because diffraction and aberration affect the performance of the optical system, a new metric is advanced that emphasizes the link between these three aspects. In general, the modulation transfer function is used as a measure for contrast sensitivity reduction, whereas the root mean square error is often used to quantify the optical quality of the system. However, for a given object, wavefront aberrations can alter the output image very differently even though they have the same root mean square error and modulation transfer function profile. A distinction between coherent and incoherent illumination is made, and a new measure, called optical transfer error, is defined to characterize optical performance complementarily to root mean square and modulation transfer function. The optical transfer error measures the optical excellence in terms of the shape of the wavefront as well as the theoretical performance results. Several illustrations are presented to better discuss optical performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.356
Teacher spread0.340 · 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