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Record W4292450720 · doi:10.1117/12.2630705

HEART: Gemini Planet Imager upgrade (GPI2.0) Real-time Controller (RTC) using the Herzberg Extensible Adaptive Real-time Toolkit (HEART)

2022· article· en· W4292450720 on OpenAlexaff
Dan Kerley, Jennifer Dunn, Jean‐Pierre Véran, Lianne Muller, Edward L. Chapin, Malcolm A. Smith, Jonathan Stocks, Darryl Gamroth, Bruce Macintosh, Christian Marois, Olivier Lardière, Dmitry Savransky, Joeleff Fitzsimmons, Quinn Konopacky, Jeffrey Chilcote

Bibliographic record

VenueAdaptive Optics Systems VIII · 2022
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsUpgradeExtensibilityComputer scienceController (irrigation)PlanetSimulationComputer graphics (images)Real-time computingPhysicsOperating systemAstronomy

Abstract

fetched live from OpenAlex

The Gemini Planet Imager (GPI) is undergoing a number of upgrades as part of the process of moving the instrument from Gemini South to Gemini North. The upgraded instrument (GPI2.0) will include a new Real- Time Controller (RTC) that drives the eXtreme Adaptive Optics (XAO) system, which is composed of a new high-sensitivity Natural Guide Star (NGS) Pyramid Wavefront Sensor (PWFS), and the existing two Deformable Mirrors (DMs) and Tip/Tilt Stage (TTS) at loop rates up to 2 kHz with very low latency. The new RTC is based on the Herzberg Extensible Adaptive Real-time Toolkit (HEART), which is a collection of libraries and other software that can be used to control different types of Adaptive Optics (AO) systems. HEART’s configurability and flexibility lends itself well to GPI2.0 RTC. This paper explores how HEART functionality is used and configured to construct the GPI2.0 RTC.

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)0.003
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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