Exoplanet detection in angular and spectral differential imaging with an accelerated proximal gradient algorithm
(2025) ESANN 2025 — Location: Bruges (Belgium) and online (23.April.2025)
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- Abstract
- Differential imaging is a technique to post-process images captured by ground-based telescopes during an observation campaign, in order to make exoplanets in a distant planetary system directly visible and to remove the so-called quasi-static speckles that dramatically affect detection capabilities. In order to introduce geometric diversity between the exoplanets and the quasi-static speckles, the light is split into spectral channels during the data acquisition process, producing a 4-D data cube with images recorded at many wavelengths and at many times. In this work, we propose to follow an inverse problem approach to model the as- tronomical data as the contribution of a low-rank component containing the background of quasi-static speckles and a sparse component contain- ing the exoplanets. We then formulate the resulting model as a convex non-smooth optimization model so that an accelerated proximal gradient descent can be used to solve the detection problem.
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Citations
Mil-Homens Cavaco, N., Jacques, L., & Absil, P.-A. (2025). Exoplanet detection in angular and spectral differential imaging with an accelerated proximal gradient algorithm. Published. ESANN 2025, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2025.es2025-103