Efficient Speckle Noise Attenuation in Faint Companion Imaging
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Bibliographic record
Abstract
Numerical simulations are used to evaluate a technique to attenuate speckle noise and enhance faint companion images buried in a bright‐star point‐spread function (PSF). It is shown that when frames taken simultaneously at two different wavelengths are subtracted from one another, the general evolution of the PSF profile with wavelength limits the attenuation to A2∼2σ2ϕΔλ/λ, where σ2ϕ is the wave‐front phase variance and Δλ the bandpass separation. When images taken at three wavelengths are combined in a double difference, the residuals caused by speckle evolution are very strongly damped and attenuations A3∼A22 are obtained. Very strong attenuation of speckle noise can thereby be achieved in images taken with adaptive optics (σ2ϕ<1). With three filters spanning the CH4 bandhead at 1.59 μm in the spectrum of cool brown dwarfs or Jovian planets, speckle noise can be attenuated by a factor of ∼104. This technique makes it possible to reach the photon limit in searches for methanated companions of even the brightest stars in the sky at separations of less than λ/D.
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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 it