bornagain 1.19.0-3build3 source package in Ubuntu
Changelog
bornagain (1.19.0-3build3) lunar; urgency=medium * No-change rebuild with Python 3.11 as default -- Graham Inggs <email address hidden> Sun, 25 Dec 2022 19:36:07 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Lunar
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bornagain_1.19.0.orig.tar.gz | 47.1 MiB | d87b0ffa01d176064530f7d4c011e6b818a49c5f53fa6628877aead3119f97e4 |
bornagain_1.19.0-3build3.debian.tar.xz | 8.5 KiB | 5a953aab387d05dbf19a0373f1d4f6d06d82c854d715c471f60ccee75d695797 |
bornagain_1.19.0-3build3.dsc | 2.7 KiB | 6bdfb105e7ba62a0e84338966c75dd9f73083835ad2db8f975458f90d867fad7 |
Available diffs
- diff from 1.19.0-3build2 to 1.19.0-3build3 (318 bytes)
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