bornagain 22~git20240726093306.cb41cc4+ds3-2 source package in Ubuntu
Changelog
bornagain (22~git20240726093306.cb41cc4+ds3-2) unstable; urgency=medium * Fix autopkgtest so that it actually fails on error. * Bug fix: "error while loading shared libraries: _libBornAgainGUI.so: cannot open shared object file: No such file or directory", thanks to Picca Frédéric-Emmanuel (Closes: #1078439). * This also fixes: "please add autopkgtests (to add coverage for python3-matplotlib)", thanks to Sandro Tosi (Closes: #1036492). -- Roland Mas <email address hidden> Tue, 13 Aug 2024 23:03:24 +0200
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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 | Published | Component | Section | |
---|---|---|---|---|
Oracular | proposed | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bornagain_22~git20240726093306.cb41cc4+ds3-2.dsc | 3.0 KiB | b504cda968e752f02ff8682541dc1c9f1431d651b40796f888242bbe855e9178 |
bornagain_22~git20240726093306.cb41cc4+ds3.orig.tar.xz | 46.4 MiB | c47c45a43c38c6ba41c829fcf2f19279e55bec52dbc2f5fd6ba7f01dce6b6ce1 |
bornagain_22~git20240726093306.cb41cc4+ds3-2.debian.tar.xz | 10.6 KiB | d725d544aff87fb32e4c6a2ea73ff5125183c0eb2e54914674995e16d7edcc20 |
Available diffs
No changes file available.
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.bornagainpr oject.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.bornagainpr oject.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.bornagainpr oject.org
.
This package contains the Python bindings for use in scripts.
- python3-bornagain-dbgsym: debug symbols for python3-bornagain