HEART: Gemini Planet Imager upgrade (GPI2.0) Real-time Controller (RTC) using the Herzberg Extensible Adaptive Real-time Toolkit (HEART)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".