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SMILI v0.2.0

Authors: Moriyama, Kotaro; Akiyama, Kazunori; Cho, Ilje; Zhao, Guang-Yao; Ikeda, Shiro; Kofuji, Yutaro; Honma, Mareki; +3 Authors
Abstract

Development of SMILI has been financially supported by the following programs (in alphabetical order). - Consejería de Economía, Conocimiento, Empresas y Universidad of the Junta de Andalucía (grant P18-FR-1769) - Consejo Superior de Investigaciones Científicas (grant 2019AEP112) - Japan Society for the Promotion of Science Postdoctoral Fellowships for Research Abroad - MEXT/JSPS KAKENHI (grant Numbers 24540242, 25120007, and 25120008) - NASA Massachusetts Space Grant Consortium - National Radio Astronomy Observatory Jansky Fellowship program - National Research Foundation of Korea: Global PhD Fellowship Grant (NRF-2015H1A2A1033752) - National Science Foundation Astronomy and Astrophysics Grants (AST-1440254; AST-1614868; AST-1950348; AST-2034306; AST-2107681) - National Science Foundation Research Experiences for Undergraduates program - State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709) - Spanish Ministerio de Economía y Competitividad (grants AYA2016-80889-P, PID2019-108995GB-C21) - University of Science and Technology: the Overseas Research Exchange program

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

Keywords

Interferometry, Computational Imaging, Event Horizon Telescope, Radio Astronomy, Very Long Baseline Interferometry

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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