Imaging exoplanets below the telescope stability limit

Abstract Exoplanet imaging is the main method for detailed characterization of planets orbiting beyond 1 au (ref. 1 ) but it requires suppressing the bright glare of the star to see the faint planet light. As well as sophisticated instrumentation 2,3 , effective image processing is necessary for starlight suppression, which continues to be a substantial limitation 4 . Standard algorithms use reference images for starlight modelling and thus they are limited by inevitable telescope instabilities that change from reference to science observation 5,6 . Addressing this challenge will increase the number of planets amenable to direct imaging and will be a notable step towards imaging exo-Earths with future observatories 7 . Here we present a new physics-based method for starlight subtraction. Our method combines a multistep optimization with a flexible physical model to produce a starlight model, allowing modelling and compensation of instrument instabilities. We use automatic differentiation (autodiff) 8 to optimize millions of model parameters. We demonstrate our method on observations from the James Webb Space Telescope (JWST) Near-InfraRed Camera (NIRCam) 9–11 coronagraph instrument. We achieve sensitivity 2–15 times superior to standard techniques, including the first detection of 51 Eridani b (ref. 12 ) at 4.3 μm. This is the first time, to our knowledge, that such an approach has demonstrated substantially improved sensitivity on real, on-sky coronagraphic imaging. Our framework can be extended to other current and future ground-based and space-based observatories, including the Nancy Grace Roman Space Telescope and the Habitable Worlds Observatory (HWO), potentially relaxing the unprecedented stability requirements needed to make these a success.

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Publication Details

Journal
Nature
Published
2026-11-04
DOI
https://doi.org/10.1038/s41586-026-11213-z
Primary Topic
Adaptive optics and wavefront sensing
Type
article
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article

Imaging exoplanets below the telescope stability limit

Brandon Y. Feng, Rodrigo Ferrer-Chávez, Marshall D. Perrin, Katherine L. Bouman et al.
Nature
Adaptive optics and wavefront sensing
article

Imaging exoplanets below the telescope stability limit

Brandon Y. Feng, Rodrigo Ferrer-Chávez, Marshall D. Perrin, Katherine L. Bouman, Laurent A. Pueyo, Jason Wang, William T. Freeman
article en

Abstract

Abstract Exoplanet imaging is the main method for detailed characterization of planets orbiting beyond 1 au (ref. 1 ) but it requires suppressing the bright glare of the star to see the faint planet light. As well as sophisticated instrumentation 2,3 , effective image processing is necessary for starlight suppression, which continues to be a substantial limitation 4 . Standard algorithms use reference images for starlight modelling and thus they are limited by inevitable telescope instabilities that change from reference to science observation 5,6 . Addressing this challenge will increase the number of planets amenable to direct imaging and will be a notable step towards imaging exo-Earths with future observatories 7 . Here we present a new physics-based method for starlight subtraction. Our method combines a multistep optimization with a flexible physical model to produce a starlight model, allowing modelling and compensation of instrument instabilities. We use automatic differentiation (autodiff) 8 to optimize millions of model parameters. We demonstrate our method on observations from the James Webb Space Telescope (JWST) Near-InfraRed Camera (NIRCam) 9–11 coronagraph instrument. We achieve sensitivity 2–15 times superior to standard techniques, including the first detection of 51 Eridani b (ref. 12 ) at 4.3 μm. This is the first time, to our knowledge, that such an approach has demonstrated substantially improved sensitivity on real, on-sky coronagraphic imaging. Our framework can be extended to other current and future ground-based and space-based observatories, including the Nancy Grace Roman Space Telescope and the Habitable Worlds Observatory (HWO), potentially relaxing the unprecedented stability requirements needed to make these a success.

NatureVol. 659(8139)
Openalex Percentile: Top 22%
Adaptive optics and wavefront sensing
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