Low-rank plus sparse trajectory decomposition for direct exoplanet imaging

2023/01/17 by Simon Vary, Vary, Simon, Hazan Daglayan +5
Physics and Astronomy · #85-08 #Adaptive optics and wavefront sensing #Astronomy and Astrophysical Research #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Physical sciences #I.4.3 #I.4.9 #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Stellar, planetary, and galactic studies

paper · pdf · doi:10.48550/arxiv.2301.07018

openalex publication_date 2023/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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 β-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.

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