Low-Rank Plus Sparse Trajectory Decomposition for Direct Exoplanet Imaging
| Autor: | Simon Vary, Hazan Daglayan, Laurent Jacques, P.-A. Absil |
|---|---|
| Přispěvatelé: | UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Earth and Planetary Astrophysics (astro-ph.EP)
low-rank plus sparse matrix I.4.3 85-08 exoplanet detection angular differential imaging direct imaging FOS: Physical sciences I.4.9 Astrophysics - Instrumentation and Methods for Astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) Astrophysics - Earth and Planetary Astrophysics |
| Zdroj: | "Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on", Vol. 1, no.1 (2023) |
| Popis: | We propose a direct imaging method for the detection of exoplanets based on a combined low-rank plus structured sparse model. For this task, we develop a dictionary of possible effective circular trajectories a planet can take during the observation time, elements of which can be efficiently computed using rotation and convolution operation. We design a simple alternating iterative hard-thresholding algorithm that jointly promotes a low-rank background and a sparse exoplanet foreground, to solve the non-convex optimisation problem. The experimental comparison on the $\beta$-Pictoris exoplanet benchmark dataset shows that our method has the potential to outperform the widely used Annular PCA for specific planet light intensities in terms of the Receiver operating characteristic (ROC) curves. Comment: 5 pages, 4 figures, ICASSP 2023 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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