Speckle differential imagery performance using a JWST tunable filter etalon prototype
Bibliographic record
Abstract
One of the four science instruments aboard the James Webb Space Telescope (JWST) is the Tunable Filter Imager (TFI) provided as part of the Canadian contribution of the JWST Fine Guidance Sensor. The TFI features a low-order Fabry-Perot etalon which enables imaging spectroscopy at an average resolving power of 100. TFI also includes a coronagraph for high-contrast imaging applications such as exoplanet imaging. In this paper we demonstrate experimentally a TFI prototype etalon's performance of speckle suppression through multi-wavelength imaging, a technique widely used by existent and future ground-based high contrast imaging instruments. The improvement in contrast ranges from a factor of ~10 at large working angles increasing to a factor of ~60 in the inner regions with very high signal. This result is consistent with our theoretical model.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".