Source: bornagain
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Mika Pflüger <debian@mikapflueger.de>, Sebastien Delafond <seb@debian.org>
Section: science
Priority: optional
Build-Depends: cmake,
               debhelper-compat (= 12),
	       dh-python,
               doxygen-latex <!nodoc>,
               libboost-all-dev,
	       libcerf-dev,
               libeigen3-dev,
               libfftw3-dev,
               libgsl0-dev,
               libqt5designercomponents5,
               libqt5opengl5-dev,
               libqt5svg5-dev,
               libtiff5-dev,
               libyaml-cpp-dev,
               python3-dev <!nopython>,
               python3-distutils <!nopython>,
               python3-matplotlib <!nopython>,
               python3-numpy <!nopython>,
               python3-yaml <!nopython>,
               qtbase5-dev,
               qtscript5-dev,
               qttools5-dev,
               swig <!nopython>,
               texlive-fonts-extra <!nodoc>,
               texlive-xetex <!nodoc>
Standards-Version: 4.3.0
Vcs-Browser: https://salsa.debian.org/science-team/bornagain
Vcs-Git: https://salsa.debian.org/science-team/bornagain.git
Homepage: http://bornagainproject.org/

Package: bornagain
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}
Recommends: python3-bornagain
Description: 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 <version you used>,
  http://www.bornagainproject.org

Package: python3-bornagain
Architecture: any
Depends: python3-matplotlib,
         python3-numpy,
         python3-yaml,
         ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Description: Simulate and fit X-ray and neutron GISAXS -- 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 <version you used>,
  http://www.bornagainproject.org
 .
  This package contains the Python bindings for use in scripts.

Package: bornagain-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, ${shlibs:Depends}
Recommends: bornagain
Description: Simulate and fit X-ray and neutron GISAXS -- doc
 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 <version you used>,
  http://www.bornagainproject.org
 .
  This package contains the BornAgain documentation.
