How to Install and Uninstall yorick-mira Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 07,2024
1. Install "yorick-mira" package
Please follow the steps below to install yorick-mira on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
Copied
$
sudo apt install
yorick-mira
Copied
2. Uninstall "yorick-mira" package
This guide let you learn how to uninstall yorick-mira on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
yorick-mira
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the yorick-mira package on Ubuntu 20.10 (Groovy Gorilla)
Package: yorick-mira
Architecture: all
Version: 1.1.0+git20170124.3bd1c3~dfsg1-2
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 655
Depends: yorick-yeti (>= 6.3.1), yorick-yeti-fftw (>= 6.3.1), yorick-yutils, yorick-optimpacklegacy, yorick (>= 2.2.03), yorick-ynfft
Filename: pool/universe/y/yorick-mira/yorick-mira_1.1.0+git20170124.3bd1c3~dfsg1-2_all.deb
Size: 138970
MD5sum: 41601a65eb6cc3d08e93eb744d476c72
SHA1: 5a41a0af9e1f60056c5d64f9952c6c6777cd7770
SHA256: 24ea4e2a3e1b0f4f4065f69a499d8375cba6e0aedc74d6b39e85ce6362b4af1e
SHA512: 4547feb969caf26f6587274409f818864a3ae0cd1c4004c1191e8f41773e08324a76a51ab54b4aa62abf1aad7c017da6e4ce2a54e447e39fa52790c58bff0289
Homepage: https://cral.univ-lyon1.fr/labo/perso/eric.thiebaut/?Software/MiRA
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
Architecture: all
Version: 1.1.0+git20170124.3bd1c3~dfsg1-2
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 655
Depends: yorick-yeti (>= 6.3.1), yorick-yeti-fftw (>= 6.3.1), yorick-yutils, yorick-optimpacklegacy, yorick (>= 2.2.03), yorick-ynfft
Filename: pool/universe/y/yorick-mira/yorick-mira_1.1.0+git20170124.3bd1c3~dfsg1-2_all.deb
Size: 138970
MD5sum: 41601a65eb6cc3d08e93eb744d476c72
SHA1: 5a41a0af9e1f60056c5d64f9952c6c6777cd7770
SHA256: 24ea4e2a3e1b0f4f4065f69a499d8375cba6e0aedc74d6b39e85ce6362b4af1e
SHA512: 4547feb969caf26f6587274409f818864a3ae0cd1c4004c1191e8f41773e08324a76a51ab54b4aa62abf1aad7c017da6e4ce2a54e447e39fa52790c58bff0289
Homepage: https://cral.univ-lyon1.fr/labo/perso/eric.thiebaut/?Software/MiRA
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