How to Install and Uninstall pymoctool Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 28,2024

1. Install "pymoctool" package

This is a short guide on how to install pymoctool on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                pymoctool
            
                    
    
    Copied

2. Uninstall "pymoctool" package

This is a short guide on how to uninstall pymoctool on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                pymoctool
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the pymoctool package on Ubuntu 21.10 (Impish Indri)

Package: pymoctool
Architecture: all
Version: 0.5.0-5
Priority: optional
Section: universe/science
Source: pymoc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astro Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 16
Depends: python3-pymoc, python3-tk, python3-healpy, python3:any
Filename: pool/universe/p/pymoc/pymoctool_0.5.0-5_all.deb
Size: 3988
MD5sum: c34a3967b305b5e0100eec79b5f443cd
SHA1: a4bd4c39b8ee6d9b10948216e125d56ac79a5076
SHA256: 0a5d983c99b46a319266097ac3dc80c19bfcb0873ee44544b4add71c8268d26c
SHA512: ac52cc979e20a144784bd830317936229d5496bd4e166d5f9726c41b5c04566b4715449dac1b88f9fd13228ff5795e176672be32a079bbe1b86e8285ec8fe424
Homepage: https://github.com/grahambell/pymoc
Description-en: Python Multi-Order Coverage maps tool for Virtual Observatory
'pymoctool' is a command-line Python-based library for manipulating
Multi-Order Coverage maps (MOCs).
.
Frequently astronomical survey catalogues or images are sparse and
cover only a small part of the sky. In a Multi-Order Coverage map
the extent of data in a particular dataset is cached as a
pre-calculated mask image. The hierarchical nature enables fast
boolean operations in image space, without needing to perform complex
geometrical calculations. Services such as VizieR generally offer the
MOC masks, allowing a faster experience in graphical applications
such as Aladin, or for researchers quickly needing to locate which
datasets may contain overlapping coverage.
.
The MOC mask image itself is tessellated and stored in NASA HealPix
format, encoded inside a FITS image container. Using the HealPix
(Hierarchical Equal Area isoLatitude Pixelization) tessellation
method ensures that more precision (pixels) in the mask are available
when describing complex shapes such as approximating survey or
polygon edges, while only needing to store a single big cell/pixel
when an coverage is either completely inside, or outside of the mask.
Catalogues can be rendered on the mask as circles.
.
It is written in Python and uses the PyMOC library.
Description-md5: 0daaa74532b1d5c29ed351c4d41979bb