Reference-less algorithm for circumstellar disks imaging
arXiv:1812.01333
Abstract
Circumstellar disks play a key role in the understanding of stellar systems. Direct imaging of such extended structures is a challenging task. Current post-processing techniques, first tailored for exoplanets imaging, tend to produce deformed images of the circumstellar disks, hindering our capability to study their shape and photometry in details. We address here the reasons of this shortcoming and propose an algorithm that produces more faithful images of disks taken with ground-based telescopes. We also show that our algorithm is a good candidate for exoplanets imaging. We then explain how our approach can be extended in the form of a regularized inverse problem.
arXiv commentin Proceedings of iTWIST'18, Paper-ID: 23, Marseille, France, November, 21-23, 2018
References in corpus (5)
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Cited by in corpus (5)
- MAYONNAISE: a morphological components analysis pipeline for circumstellar disks and exoplanets imaging in the near infrared
- Using Data Imputation for Signal Separation in High Contrast Imaging
- The far reaches of the beta Pictoris debris disk
- Exoplanet Imaging Data Challenge, phase II: Characterization of exoplanet signals in high-contrast images
- Morphological components analysis for circumstellar disks imaging