SMILI

This website is the documentation for SMILI. SMILI is a python-interfaced library for interferometric imaging using sparse sampling techniques. SMILI is mainly designed for very long baseline interferometry, and has been under the active development primarily for the Event Horizon Telescope.

This documentation describes its basic usage with some example data sets. However, SMILI has yet been actively and dynamically developed for many new topics and challenges of the EHT. The documentation is not perfect and sometimes outdated due to dynamical changes in the data structure.

Please contact to Kazu Akiyama at MIT Haystack Observatory if you have any questions about this library. You may contact with following other core developers, too.

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