bornagain 21.1+ds3-2build2 source package in Ubuntu
Changelog
bornagain (21.1+ds3-2build2) noble; urgency=medium * No-change rebuild with Python 3.12 as default -- Graham Inggs <email address hidden> Fri, 19 Jan 2024 19:01:55 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Debian PaN Maintainers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bornagain_21.1+ds3.orig.tar.xz | 45.5 MiB | 598deb627e572ec77308776024138a5c3f59524118f15f01ad39ba1706f22dc4 |
bornagain_21.1+ds3-2build2.debian.tar.xz | 9.0 KiB | c438c2842dac53362e557dd634a3597ccea134b276abdf1949e605f98a3f19b7 |
bornagain_21.1+ds3-2build2.dsc | 2.9 KiB | d4253b1a4a8e1b60c556f991526322ae4129ff111c1898418f257aea912ed7d0 |
Available diffs
- diff from 21.1+ds3-2build1 to 21.1+ds3-2build2 (319 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