Complete Guide: Installing bornagain on Ubuntu 21.04 (Hirsute Hippo) 2024

1. Install "bornagain" package

Learn how to install bornagain on Ubuntu 21.04 (Hirsute Hippo)


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

This is a short guide on how to uninstall bornagain on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                bornagain
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bornagain package on Ubuntu 21.04 (Hirsute Hippo)

Package: bornagain
Architecture: amd64
Version: 1.18.0-1build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 22908
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.29), libcerf1, libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgsl25 (>= 2.6), libopenmpi3 (>= 4.0.5), libpython3.9 (>= 3.9.0~b4), libqt5core5a (>= 5.15.1), libqt5designer5 (>= 5.6.0~beta), libqt5gui5 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.14.1), libqt5xml5 (>= 5.0.2), libstdc++6 (>= 9), libtiff5 (>= 4.0.3), libtiffxx5 (>= 4.0)
Recommends: python3-bornagain
Filename: pool/universe/b/bornagain/bornagain_1.18.0-1build1_amd64.deb
Size: 5501116
MD5sum: d031f2c975e6ff0de8c665c4a9a49ff5
SHA1: 56ddf3f72456110f9b7ca8f139ee041dcd0d4c03
SHA256: 7bbd4d35e07513dc3aabc8e4075bbbd9cddbe20709da45c91e4385c6190e914c
SHA512: 57abd797cf6db32d3055c24add93e1af9864396e4769ee74612009a563f7029009dceed3bd36c0af013d570ad0d6ac258550933f9c2155d01285aac875f1756f
Homepage: http://bornagainproject.org/
Description-en: Simulate and fit X-ray and neutron GISAXS -- binary
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
Description-md5: 72a39f6de9252c502a3850911063e22f