How to Install and Uninstall yorick-mira Package on Kali Linux

Last updated: November 07,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "yorick-mira" package

In this section, we are going to explain the necessary steps to install yorick-mira on Kali Linux


    
        
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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

Please follow the guidelines below to uninstall yorick-mira on Kali Linux:


    
        
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                sudo apt remove
            
                        
                yorick-mira
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the yorick-mira package on Kali Linux

Package: yorick-mira
Version: 1.1.0+git20170124.3bd1c3~dfsg1-2
Installed-Size: 655
Maintainer: Debian Astronomy Maintainers
Architecture: all
Depends: yorick-yeti (>= 6.3.1), yorick-yeti-fftw (>= 6.3.1), yorick-yutils, yorick-optimpacklegacy, yorick (>= 2.2.03), yorick-ynfft
Size: 138886
SHA256: 7d551565a0aa01dd32ef5f17c2c72ec60b59b0e850eb26dd904903fdb6189775
SHA1: 52dbe53e1bcd2422fae6a9566052c38eaab57002
MD5sum: c1ab910260d93e0f640f9200b6ee77d9
Description: 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: https://cral.univ-lyon1.fr/labo/perso/eric.thiebaut/?Software/MiRA
Section: science
Priority: optional
Filename: pool/main/y/yorick-mira/yorick-mira_1.1.0+git20170124.3bd1c3~dfsg1-2_all.deb