SMILI: Sparse Modeling Imaging Library for Interferometry
Abstract
SMILI uses sparse sampling techniques and other regularization methods for interferometric imaging. The python-interfaced library is mainly designed for very long baseline interferometry, and has been under the active development primarily for the Event Horizon Telescope (EHT).
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- April 2019
- Bibcode:
- 2019ascl.soft04005A
- Keywords:
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- Software