Software Open Access
SMILI: Sparse Modeling Imaging Library for Interferometry
Akiyama, Kazunori;
Tazaki, Fumie;
Moriyama, Kotaro;
Cho, Ilje;
Ikeda, Shiro;
Sasada, Mahito;
Okino, Hiroki;
Honma, Mareki
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 Event Horizon Telescope (EHT).
GitHub Repository: https://github.com/astrosmili/smili
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)
Files
(13.1 MB)
| Name | Size | |
|---|---|---|
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smili-0.0.0.zip
md5:62aa85a313ea9e1ce009ad24aa0e51da |
13.1 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 1,439 | 364 |
| Downloads | 72 | 14 |
| Data volume | 893.1 MB | 184.1 MB |
| Unique views | 1,010 | 310 |
| Unique downloads | 72 | 14 |
Indexed in
- Publication date:
- March 29, 2019
- DOI:
-
- Keyword(s):
- Radio Astronomy Interferometry Computational Imaging Very Long Baseline Interferometry Event Horizon Telescope
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International