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Record W2795445127 · doi:10.26698/ao4elt5.0114

The use of an axicon beam-shaping element in non-modulated pyramid wavefront sensors

2017· article· en· W2795445127 on OpenAlexaff
Guillaume Allain

Bibliographic record

VenueProceedings of the Adaptive Optics for Extremely Large Telescopes 5 · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsUniversité LavalOptech (Canada)
Fundersnot available
KeywordsAxiconWavefrontPyramid (geometry)OpticsAdaptive opticsWavefront sensorBeam (structure)Computer scienceElement (criminal law)Laser beamsPhysicsLaser

Abstract

fetched live from OpenAlex

Coronagraphs designed for high contrast imaging need high performance adaptive optics correction in order to reach typical contrast ratios requirements of about 10 -9 . The use of non-modulated pyramid wavefront sensors allows adaptive optics systems tomeasure wavefront errors with a high sensitivity, allowing such high contrast ratios. The lack of modulation, however, makes them more sensitive to the pyramid defects. It is notably difficult to find a pyramid on which the apex is manufactured to a high enough quality to allow its use in a non-modulated system.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.052
GPT teacher head0.274
Teacher spread0.221 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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