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Record W4401901119 · doi:10.1117/12.3019417

First light results of REVOLT-COPPER: a pyramid wavefront sensor on a 1.2m telescope

2024· article· en· W4401901119 on OpenAlexaffabout
Maaike van Kooten, Jean‐Pierre Véran, Olivier Lardière, Edward L. Chapin, Kate Jackson, Jennifer Dunn, Dan Kerley

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsUniversity of VictoriaNational Research Council Canada
Fundersnot available
KeywordsAdaptive opticsTestbedTelescopeWavefrontPyramid (geometry)PhysicsWavefront sensorSkyFirst lightOpticsPixelComputer sciencePipeline (software)Remote sensingAstronomyAerospace engineeringEngineeringLight sourceGeologyOperating system

Abstract

fetched live from OpenAlex

REVOLT (Research, Experiment and Validation of Adaptive Optics with a Legacy Telescope)—the local adaptive optics (AO) system at National Research Council's Herzberg Astronomy and Astrophysics Research Centre (NRC-Herzberg)—is an on-sky testbed for a variety of new technologies and algorithms, including the Herzberg Extensible Adaptive optics Real-time Toolkit (HEART). In this paper, we show first light results from a recent expansion of REVOLT to include a second closed-loop wavefront sensing path using a pyramid wavefront sensor (PWFS), REVOLT-COPPER (Canadian On-sky Platform for PWFS Experimental Research). We show successful operation of a modulated PWFS using the Gemini Planet Imager 2 (GPI2) HEART pipeline where we use a PWFS pixels-to-modes reconstructor, bypassing the need to calculate PWFS slopes first. We also present analysis of REVOLT-COPPER's performance and discuss the on-going research and development effort at NRC-Herzberg.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2024
Admission routes2
Has abstractyes

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