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SMILI: Sparse Modeling Imaging Library for Interferometry

Akiyama, Kazunori; Moriyama, Kotaro; Cho, Ilje; Okino, Hiroki; Tazaki, Fumie; Ikeda, Shiro; Sasada, Mahito; Honma, Mareki


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    <subfield code="a">Development of SMILI has been financially supported by the following programs.
- Japan Society for the Promotion of Science Postdoctoral Fellowships for Research Abroad
- National Radio Astronomy Observatory Jansky Fellowship program
- MEXT/JSPS KAKENHI (24540242, 25120007, and 25120008)
- National Science Foundation Astronomy and Astrophysics Grants (AST-1440254; AST-1614868)
- National Science Foundation Research Experiences for Undergraduates program
- NASA Massachusetts Space Grant Consortium
- University of Science and Technology: the Overseas Research Exchange program
- National Research Foundation of Korea: Global PhD Fellowship Grant (NRF-2015H1A2A1033752)</subfield>
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    <subfield code="a">&lt;p&gt;SMILI is an open-source python-interfaced library for interferometric imaging using sparse sampling techniques and other regularization methods. SMILI is mainly designed for very long baseline interferometry and has been under the active development primarily for the&amp;nbsp;&lt;a href="https://eventhorizontelescope.org/"&gt;Event Horizon Telescope (EHT)&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;GitHub Repository:&amp;nbsp;&lt;a href="https://github.com/astrosmili/smili"&gt;https://github.com/astrosmili/smili&lt;/a&gt;&lt;/p&gt;</subfield>
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