GPI 2.0: end-to-end simulations of the AO-coronagraph system
Bibliographic record
Abstract
The Gemini Planet Imager 2.0 (GPI 2.0) is an upgrade to the original GPI, an instrument for directly imaging exoplanet systems, which is being moved to the Gemini North telescope atop Mauna Kea, Hawaii. Major changes involve improved coronagraph designs and upgrading the adaptive optics (AO) system with a new pyramid wavefront sensor (PWFS). The addition of these new components require revised models for evaluating the performance and understanding the limitations of the system. This in turn helps us inform the broader GPI 2.0 science goals. We run end-to-end AO simulations, to assess the performance of GPI 2.0 AO under typical atmospheric conditions on Mauna Kea. We use these simulations to help us determine operating parameters such as the limiting stellar magnitude, maximum Strehl ratio, and the contrast achieved by the joint AO-coronagraph system before speckle-suppression. This information will be used to predict the science performance on a range of targets and design observing strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".