How to Install and Uninstall aoflagger Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 06,2024
1. Install "aoflagger" package
Please follow the guidelines below to install aoflagger on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
aoflagger
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2. Uninstall "aoflagger" package
This is a short guide on how to uninstall aoflagger on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
aoflagger
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the aoflagger package on Ubuntu 20.10 (Groovy Gorilla)
Package: aoflagger
Architecture: amd64
Version: 2.14.0-2ubuntu4
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astro Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 10034
Depends: libaoflagger0 (>= 2.14.0), libatkmm-1.6-1v5 (>= 2.24.0), libboost-date-time1.71.0, libc6 (>= 2.29), libcairomm-1.0-1v5 (>= 1.12.0), libcasa-casa5 (>= 3.3.0), libcasa-ms5 (>= 3.3.0), libcasa-tables5 (>= 3.3.0), libgcc-s1 (>= 4.0), libglibmm-2.4-1v5 (>= 2.64.2), libgtkmm-3.0-1v5 (>= 3.24.0), libpython3.8 (>= 3.8.2), libsigc++-2.0-0v5 (>= 2.8.0), libstdc++6 (>= 9)
Suggests: aoflagger-dev
Filename: pool/universe/a/aoflagger/aoflagger_2.14.0-2ubuntu4_amd64.deb
Size: 1469372
MD5sum: fd742f9b403106b01ef2ec26a992f876
SHA1: c7a042e46debbe3a38c57e9d839cf8b57d1103cb
SHA256: 88336e0d037171dfec5c969bae671949bbaa094f6d8ed2581b0f60ee1a8e436a
SHA512: 9e3fef5af3bc1eae92619efbdcb22b022110c496615fb4bb5bedad046a60b02feba71cf8d4b5a7b7aa120f7573c5119ee2f55f4852a2e1a58cf9f32cd900f103
Homepage: https://sourceforge.net/projects/aoflagger/
Description-en: Find RFI in radio astronomical observations
The AOFlagger is a tool that can find and remove radio-frequency interference
(RFI) in radio astronomical observations. The code has been highly optimized
for speed and accuracy. It is used by default for the LOFAR radio telescope
and thus is in productional stage. The software can run in a fully automated
way, but a graphical interface is provided to analyse results and tweak the
strategy. The preferred input file format is the Casa Measurement Set (MS)
format.
.
Besides the flagger, the software consists of tools to efficiently visualize
data in different ways, such as plotting time-frequency diagrams and power
spectra. It provides the programs aoflagger, rfigui, aoqplot, aoquality and
more.
Description-md5: 57d9f9f7423c60151609a61268fa47ec
Architecture: amd64
Version: 2.14.0-2ubuntu4
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astro Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 10034
Depends: libaoflagger0 (>= 2.14.0), libatkmm-1.6-1v5 (>= 2.24.0), libboost-date-time1.71.0, libc6 (>= 2.29), libcairomm-1.0-1v5 (>= 1.12.0), libcasa-casa5 (>= 3.3.0), libcasa-ms5 (>= 3.3.0), libcasa-tables5 (>= 3.3.0), libgcc-s1 (>= 4.0), libglibmm-2.4-1v5 (>= 2.64.2), libgtkmm-3.0-1v5 (>= 3.24.0), libpython3.8 (>= 3.8.2), libsigc++-2.0-0v5 (>= 2.8.0), libstdc++6 (>= 9)
Suggests: aoflagger-dev
Filename: pool/universe/a/aoflagger/aoflagger_2.14.0-2ubuntu4_amd64.deb
Size: 1469372
MD5sum: fd742f9b403106b01ef2ec26a992f876
SHA1: c7a042e46debbe3a38c57e9d839cf8b57d1103cb
SHA256: 88336e0d037171dfec5c969bae671949bbaa094f6d8ed2581b0f60ee1a8e436a
SHA512: 9e3fef5af3bc1eae92619efbdcb22b022110c496615fb4bb5bedad046a60b02feba71cf8d4b5a7b7aa120f7573c5119ee2f55f4852a2e1a58cf9f32cd900f103
Homepage: https://sourceforge.net/projects/aoflagger/
Description-en: Find RFI in radio astronomical observations
The AOFlagger is a tool that can find and remove radio-frequency interference
(RFI) in radio astronomical observations. The code has been highly optimized
for speed and accuracy. It is used by default for the LOFAR radio telescope
and thus is in productional stage. The software can run in a fully automated
way, but a graphical interface is provided to analyse results and tweak the
strategy. The preferred input file format is the Casa Measurement Set (MS)
format.
.
Besides the flagger, the software consists of tools to efficiently visualize
data in different ways, such as plotting time-frequency diagrams and power
spectra. It provides the programs aoflagger, rfigui, aoqplot, aoquality and
more.
Description-md5: 57d9f9f7423c60151609a61268fa47ec