bornagain 21.1+ds3-4 source package in Ubuntu

Changelog

bornagain (21.1+ds3-4) unstable; urgency=medium

  * Bug fix: "Please drop dependencies on python3-distutils", thanks to
    Graham Inggs (Closes: #1065835).

 -- Roland Mas <email address hidden>  Thu, 21 Mar 2024 22:38:28 +0100

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Uploaded by:
Debian PaN Maintainers
Uploaded to:
Sid
Original maintainer:
Debian PaN Maintainers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

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File Size SHA-256 Checksum
bornagain_21.1+ds3-4.dsc 2.8 KiB 7a13a88e0f28464232027aa1c803f9b8cec93a70a918700f2e85b42fd55741ad
bornagain_21.1+ds3.orig.tar.xz 45.5 MiB 598deb627e572ec77308776024138a5c3f59524118f15f01ad39ba1706f22dc4
bornagain_21.1+ds3-4.debian.tar.xz 9.3 KiB a75c01413127b318280de45ac0fa5d5e836323d14348a41b5648ab4ab74ed38f

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Binary packages built by this source

bornagain: Simulate and fit X-ray and neutron GISAS -- 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

bornagain-dbgsym: debug symbols for bornagain
bornagain-doc: Simulate and fit X-ray and neutron GISAS -- 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.

python3-bornagain: 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 <version you used>,
  http://www.bornagainproject.org
 .
  This package contains the Python bindings for use in scripts.

python3-bornagain-dbgsym: debug symbols for python3-bornagain