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Deep learning for exoplanet detection and characterization by direct imaging at high contrast
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
Exoplanet imaging is a major challenge in astrophysics due to the need for high angular resolution and high contrast. We present a multi-scale statistical model for the nuisance co…
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
The search for exoplanets is an active field in astronomy, with direct imaging as one of the most challenging methods due to faint exoplanet signals buried within stronger residual…
MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations
Théo Bodrito, Olivier Flasseur, Julien Mairal +3
Direct imaging of exoplanets is particularly challenging due to the high contrast between the planet and the star luminosities, and their small angular separation. In addition to t…
Combining statistical learning with deep learning for improved exoplanet detection and characterization
Olivier Flasseur, Théo Bodrito, Julien Mairal +3
In direct imaging at high contrast, the bright glare produced by the host star makes the detection and the characterization of sub-stellar companions particularly challenging. In s…