How to Install and Uninstall weightwatcher Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "weightwatcher" package

This tutorial shows how to install weightwatcher on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install weightwatcher

2. Uninstall "weightwatcher" package

In this section, we are going to explain the necessary steps to uninstall weightwatcher on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove weightwatcher $ sudo apt autoclean && sudo apt autoremove

3. Information about the weightwatcher package on Ubuntu 20.10 (Groovy Gorilla)

Package: weightwatcher
Architecture: amd64
Version: 1.12+dfsg-2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 279
Depends: libc6 (>= 2.29)
Filename: pool/universe/w/weightwatcher/weightwatcher_1.12+dfsg-2_amd64.deb
Size: 98484
MD5sum: 23ff343bb7262738fe34994513a13343
SHA1: 4918a6042173c175d8263822a9b34b2e822e79d4
SHA256: 37fb68c9c2d2399896493ccde639cf1f98cc014a2fa35d0bdf34ad9af68b136f
SHA512: 40b2fbf253eed49f78cd96b6e8f776ef6ac7347fbffc63ed0bf68eb76f53d5e515fa7e89c4ee44d75fa658d9630e965f358eb18996c7f2ce8930f4275baa1d36
Homepage: https://www.astromatic.net/software/weightwatcher
Description-en: Combine maps and polygon data for astronomical image processing
WeightWatcher is a program that combines weight-maps, flag-maps and polygon
data in order to produce control maps which can directly be used in
astronomical image-processing packages like Drizzle, Swarp or SExtractor.
.
Weight-thresholding and/or specific flag selections are applied by
WeightWatcher through a configuration file: this alleviates other programs
from such interpretation work. WeightWatcher will mostly be useful as part of
an imaging survey pipeline. Its main features are:
.
* Processing speed: limited by the I/O performances of the machine
(typically 50 Mpixel/s on a workstation),
* Ability to work with very large images (up to, say, 10^8 × 10^9 pixels on
a 64 bit system),
* FITS format (including Multi-Extension) is used for input and
output. Output flag-map format selection is automatic (8, 16 or 32bits),
* Up to 30 weight-maps, 30 flag-maps, and thousands of polygons can be
handled simultaneously.
* Automatic rasterizing of DS9 .reg files,
* Statistics of flagged and weighted areas,
* Metadata output in XML-VOTable format.
Description-md5: 0504dbac4f037b8b14ad99038dcd0e8f