How to Install and Uninstall python3-sncosmo Package on Kali Linux

Last updated: July 08,2024

1. Install "python3-sncosmo" package

Please follow the guidelines below to install python3-sncosmo on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-sncosmo
            
                    
    
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2. Uninstall "python3-sncosmo" package

Here is a brief guide to show you how to uninstall python3-sncosmo on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-sncosmo
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-sncosmo package on Kali Linux

Package: python3-sncosmo
Source: sncosmo
Version: 2.10.4-1
Installed-Size: 1163
Maintainer: Debian Astronomy Team
Architecture: amd64
Depends: python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3 (<< 3.13), python3 (>= 3.11~), python3-astropy, python3-extinction, python3-scipy, python3-yaml, python3:any, libc6 (>= 2.14)
Suggests: python3-emcee, python3-iminuit
Size: 325676
SHA256: 93482cb066e28c49eb6697d01c7dceaac97b0cc8e381c2e73790999373ec1ffe
SHA1: e8c8ca59ecaaf691d6cd100373256451e3a9682b
MD5sum: cd2de28e245b070b16ad8e16b516abca
Description: Python library for high-level supervova cosmology analysis
SNCosmo synthesizes supernova spectra and photometry from SN models,
and has functions for fitting and sampling SN model parameters given
photometric light curve data. It offers fast implementations of
several commonly used extinction laws and can be used to construct SN
models that include dust. The SNCosmo library includes supernova
models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID, SNANA and Whalen
models, as well as a variety of built-in bandpasses and magnitude
systems, and provides convenience functions for reading and writing
peculiar data formats used in other packages. The library is
extensible, allowing new models, bandpasses, and magnitude systems to
be defined using an object-oriented interface.
Description-md5:
Homepage: https://sncosmo.github.io
Section: python
Priority: optional
Filename: pool/main/s/sncosmo/python3-sncosmo_2.10.4-1_amd64.deb