Gemini planet imager 2.0: implementing a Zernike wavefront sensor for non-common path aberrations measurement
Bibliographic record
Abstract
GPI2.0 is an upgrade of the high-contrast instrument known as the Gemini Planet Imager (GPI). This new version is scheduled for installation on Gemini North telescope by the end of 2024. In this document, we outline our approach for addressing Non-Common Path Aberrations (NCPA) measurement and correction within the instrument. Our strategy differs significantly from the methods employed in the original GPI. Our proposal involves the utilization of a dedicated Wavefront Sensor (WFS) positioned within the coronagraph branch to accurately measure NCPAs. Subsequently, we will compensate for these aberrations by transmitting offset signals to the adaptive optics WFS. The chosen dedicated WFS will be a Zernike WFS (ZWFS), known for its exceptional sensitivity. This paper provides insights into the integration plan for incorporating the ZWFS into GPI2.0, details its key characteristics, and outlines the methodology for performing phase inversion based on the ZWFS measurements. Additionally, we present the initial results of experimental tests conducted on the SEAL testbed at the University of California, Santa Cruz (UCSC).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".