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

Last updated: November 07,2024

1. Install "inhomog" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                inhomog
            
                    
    
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2. Uninstall "inhomog" package

Please follow the step by step instructions below to uninstall inhomog on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                inhomog
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the inhomog package on Ubuntu 20.10 (Groovy Gorilla)

Package: inhomog
Architecture: amd64
Version: 0.1.9.2-1build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astro Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 38
Depends: libc6 (>= 2.3.4), libinhomog0 (>= 0.1.5)
Filename: pool/universe/i/inhomog/inhomog_0.1.9.2-1build1_amd64.deb
Size: 7564
MD5sum: f0c9322465c3044554dd056dec2c61ee
SHA1: 5c82e5870014d0eabc3f344686789877e40b1701
SHA256: c3f1ef1e60e8c493144282ee6df54eefba6f05ad6f0f7d5f87d4a1b6d87e3b53
SHA512: 8ffbb4c2da27ddf6faa3326625652c4546a7d5e8f6f31f46dc7543b0d26bc042d507a748a1c6b34e3fd657cc803491e45beb972935dcffe045f6649007816303
Homepage: https://bitbucket.org/broukema/inhomog
Description-en: kinematical backreaction and average scale factor evolution
The inhomog library calculates average cosmological expansion.
This particular package contains an example front end program that uses the
biscale_partition routines of the inhomog library, illustrating
effective scale factor evolution in a universe with a T^3 spatial
section that is divided into two complementary domains. The inhomog
library provides Raychaudhuri integration of cosmological
domain-wise average scale factor evolution using an analytical formula for
kinematical backreaction Q_D evolution. The library routine
lib/Omega_D_precalc.c is callable by RAMSES using ramses-scalav.
.
You may use this front-end program for command-line investigation
of the role of virialisation as a potential replacement for dark
energy (see Roukema 2017, arXiv:1706.06179).
Description-md5: d0c93d3e28742f466ea9565d98661f44