How to Install and Uninstall yorick-mira Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: September 20,2024

1. Install "yorick-mira" package

Here is a brief guide to show you how to install yorick-mira on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                yorick-mira
            
                    
    
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2. Uninstall "yorick-mira" package

This tutorial shows how to uninstall yorick-mira on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                yorick-mira
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the yorick-mira package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: yorick-mira
Priority: extra
Section: universe/science
Installed-Size: 384
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: all
Version: 0.9.10+dfsg-1
Depends: yorick-yeti (>= 6.3.1), yorick-yeti-fftw (>= 6.3.1), yorick-yutils, yorick-optimpack (>= 1.3), yorick (>= 2.1.05)
Filename: pool/universe/y/yorick-mira/yorick-mira_0.9.10+dfsg-1_all.deb
Size: 94294
MD5sum: bf208dd62db00675ba0822d24778afb1
SHA1: 12616d009b8edac193f5a9241332b2488f0d7a9a
SHA256: 332ae3feb3c0992bbb80989efd1c2e3e138ba9700ab900c6cb8ce19bde8ded8f
Description-en: optical interferometry image reconstruction within Yorick
MiRA is an algorithm for image reconstruction from data provided by
optical interferometers. It is written in the Yorick language and
operated through the Yorick interpreter.
.
MiRA won the 2008' Interferometric Imaging Beauty Contest organized
by International Astronomical Union (IAU) to compare the image
synthesis algorithms designed for optical interferometry. In a
nutshell, MiRA proceeds by direct minimization of a penalized
likelihood. This penalty is the sum of two terms: a likelihood term
(typically a χ2) which enforces agreement of the model with the data,
plus a regularization term to account for priors. The priors are
required to lever the many degeneracies due to the sparseness of the
spatial frequency sampling. MiRA implements many different
regularizations (quadratic or edge-preserving smoothness, total
variation, maximum entropy, etc.) and let the user defines his own
priors. The likelihood penalty is modular and designed to account for
available data of any kind (complex visibilities, powerspectra and/or
closure phase). One of the strength of MiRA is that it is purely
based on an inverse problem approach and can therefore cope with
incomplete data set; for instance, MiRA can build an image without
any Fourier phase information. Input data must be in OI-FITS format.
Description-md5: e6eb442e211a539d03a39a80f78002ca
Homepage: http://www-obs.univ-lyon1.fr/labo/perso/eric.thiebaut/mira.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu