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SMILI: Sparse Modeling Imaging Library for Interferometry

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Ada Coda
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SMILI: Sparse Modeling Imaging Library for Interferometry

Postby Ada Coda » Thu Apr 11, 2019 11:10 pm

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).

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

Site: https://github.com/astrosmili/smili
https://ui.adsabs.harvard.edu/abs/2019ApJ...875L...4E

Bibcode: 2019ascl.soft04005A

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2017ApJ...838....1A and https://ui.adsabs.harvard.edu/abs/2017AJ....153..159A

ID: ascl:1904.005
Last edited by Ada Coda on Sat Apr 13, 2019 12:36 am, edited 1 time in total.
Reason: Updated code entry.

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