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

Last updated: May 18,2024

1. Install "python3-bornagain" package

Please follow the steps below to install python3-bornagain on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-bornagain
            
                    
    
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2. Uninstall "python3-bornagain" package

Learn how to uninstall python3-bornagain on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-bornagain
            
                    
    
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            $
        

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

Package: python3-bornagain
Source: bornagain (21.1+ds3-2)
Version: 21.1+ds3-2+b1
Installed-Size: 14302
Maintainer: Debian PaN Maintainers
Architecture: amd64
Depends: python3-matplotlib, python3-numpy, python3-yaml, python3:any, libboost-iostreams1.83.0 (>= 1.83.0), libc6 (>= 2.35), libcerf2 (>= 2.4), libfftw3-double3 (>= 3.3.10), libformfactor0.3.0 (>= 0.3.1), libgcc-s1 (>= 4.0), libgsl27 (>= 2.7.1), libpython3.11 (>= 3.11.5), libstdc++6 (>= 13.1), libtiff6 (>= 4.0.3), libtiffxx6 (>= 4.0)
Size: 2727732
SHA256: 8c988ef7f3543be8cd9a2a3608fa794c49a38a36b5fc1a9e354f24b9b09cce43
SHA1: 5edae62cefd32e4646fcf6826907882a3a525c7b
MD5sum: e8748b6d780d17b4468698ef9f7a276b
Description: Simulate and fit X-ray and neutron GISAS -- Python3
BornAgain is a software package to simulate and fit small-angle scattering at
grazing incidence. It supports analysis of both X-ray (GISAXS) and neutron
(GISANS) data. Calculations are carried out in the framework of the distorted
wave Born approximation (DWBA). BornAgain provides a graphical user interface
for interactive use as well as a generic Python and C++ framework for modeling
multilayer samples with smooth or rough interfaces and with various types of
embedded nanoparticles.
.
BornAgain supports:
.
Layers:
* Multilayers without any restrictions on the number of layers
* Interface roughness correlation
* Magnetic materials
.
Particles:
* Choice between different shapes of particles (form factors)
* Particles with inner structures
* Assemblies of particles
* Size distribution of the particles (polydispersity)
.
Positions of Particles:
* Decoupled implementations between vertical and planar positions
* Vertical distributions: particles at specific depth in layers or on top.
* Planar distributions:
- fully disordered systems
- short-range order distribution (paracrystals)
- two- and one-dimensional lattices
.
Input Beam:
* Polarized or unpolarized neutrons
* X-ray
* Divergence of the input beam (wavelength, incident angles) following
different distributions
* Possible normalization of the input intensity
.
Detector:
* Off specular scattering
* Two-dimensional intensity matrix, function of the output angles
.
Use of BornAgain:
* Simulation of GISAXS and GISANS from the generated sample
* Fitting to reference data (experimental or numerical)
* Interactions via Python scripts or Graphical User Interface
.
If you use BornAgain in your work, please cite
C. Durniak, M. Ganeva, G. Pospelov, W. Van Herck, J. Wuttke (2015), BornAgain
— Software for simulating and fitting X-ray and neutron small-angle
scattering at grazing incidence, version ,
http://www.bornagainproject.org
.
This package contains the Python bindings for use in scripts.
Description-md5:
Homepage: https://bornagainproject.org/
Tag: uitoolkit::qt
Section: science
Priority: optional
Filename: pool/main/b/bornagain/python3-bornagain_21.1+ds3-2+b1_amd64.deb