Artifact bornagain_22~git20240726093306.cb41cc4+ds3-2_amd64

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deb_fields:
  Architecture: amd64
  Depends: libboost-program-options1.83.0 (>= 1.83.0), libc6 (>= 2.38), libgcc-s1
    (>= 3.0), libqt6core6t64 (>= 6.6.0), libqt6gui6 (>= 6.4.0), libqt6opengl6 (>=
    6.1.2), libqt6openglwidgets6 (>= 6.1.2), libqt6printsupport6 (>= 6.1.2), libqt6widgets6
    (>= 6.3.0), libstdc++6 (>= 14)
  Description: "Simulate and fit X-ray and neutron GISAS -- binary\n BornAgain is\
    \ a software package to simulate and fit small-angle scattering at\n grazing incidence.\
    \ It supports analysis of both X-ray (GISAXS) and neutron\n (GISANS) data. Calculations\
    \ are carried out in the framework of the distorted\n wave Born approximation\
    \ (DWBA). BornAgain provides a graphical user interface\n for interactive use\
    \ as well as a generic Python and C++ framework for modeling\n multilayer samples\
    \ with smooth or rough interfaces and with various types of\n embedded nanoparticles.\n\
    \ .\n BornAgain supports:\n .\n Layers:\n  * Multilayers without any restrictions\
    \ on the number of layers\n  * Interface roughness correlation\n  * Magnetic materials\n\
    \ .\n Particles:\n  * Choice between different shapes of particles (form factors)\n\
    \  * Particles with inner structures\n  * Assemblies of particles\n  * Size distribution\
    \ of the particles (polydispersity)\n .\n Positions of Particles:\n  * Decoupled\
    \ implementations between vertical and planar positions\n  * Vertical distributions:\
    \ particles at specific depth in layers or on top.\n  * Planar distributions:\n\
    \    - fully disordered systems\n    - short-range order distribution (paracrystals)\n\
    \    - two- and one-dimensional lattices\n .\n Input Beam:\n  * Polarized or unpolarized\
    \ neutrons\n  * X-ray\n  * Divergence of the input beam (wavelength, incident\
    \ angles) following\n    different distributions\n  * Possible normalization of\
    \ the input intensity\n .\n Detector:\n  * Off specular scattering\n  * Two-dimensional\
    \ intensity matrix, function of the output angles\n .\n Use of BornAgain:\n  *\
    \ Simulation of GISAXS and GISANS from the generated sample\n  * Fitting to reference\
    \ data (experimental or numerical)\n  * Interactions via Python scripts or Graphical\
    \ User Interface\n .\n If you use BornAgain in your work, please cite\n  C. Durniak,\
    \ M. Ganeva, G. Pospelov, W. Van Herck, J. Wuttke (2015), BornAgain\n  \u2014\
    \ Software for simulating and fitting X-ray and neutron small-angle\n  scattering\
    \ at grazing incidence, version <version you used>,\n  http://www.bornagainproject.org"
  Homepage: https://bornagainproject.org/
  Installed-Size: '7025'
  Maintainer: Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
  Package: bornagain
  Priority: optional
  Recommends: python3-bornagain
  Section: science
  Version: 22~git20240726093306.cb41cc4+ds3-2
srcpkg_name: bornagain
srcpkg_version: 22~git20240726093306.cb41cc4+ds3-2

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