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Record W4286423442 · doi:10.1117/12.2630206

HEART: REVOLT RTC using Herzberg Extensible Adaptive Real-time Toolkit (HEART)

2022· article· en· W4286423442 on OpenAlexaff
Darryl Gamroth, Edward L. Chapin, Jennifer Dunn, Lianne Mueller, Malcolm A. Smith, Tarun Kumar, Olivier Lardière, Kate Jackson, Jean‐Pierre Véran

Bibliographic record

VenueAdaptive Optics Systems VIII · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsTestbedComputer scienceObservatoryTelescopeSkyPersonalizationController (irrigation)Real-time computingEmbedded systemPhysicsOpticsAstronomy

Abstract

fetched live from OpenAlex

REVOLT is an experimental testbed that will be used to test novel AO components and AO techniques on sky at the 1.2m telescope of the Dominion Astrophysical Observatory. In its initial configuration that will be tested on-sky in spring 2022, REVOLT will have one deformable mirror, an ALPAO DM 277 and a Shack-Hartmann WFS based on a newly developed 512x512 pixel Near-Infrared Avalanche Photodiode array (Saphira). This testbed will be controlled at frame rates of up to 1 kHz by a Real-Time Controller (RTC) based on HEART1. HEART has gone through extensive testing and benchmarking, but this is the first time it will be tested on-sky. This paper will discuss customization of HEART required by REVOLT for the specified hardware, the issues found and lessons learned, the performance achieved during operations and the upgrades performed on HEART as a result.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.250
Teacher spread0.224 · 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 designSimulation or modeling
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

Citations5
Published2022
Admission routes1
Has abstractyes

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