[ 原始碼： bornagain ]
套件：python3-bornagain（22~git20240726093306.cb41cc4+ds3-2）
python3-bornagain 的相關連結
Debian 的資源：
下載原始碼套件 bornagain：
- [bornagain_22~git20240726093306.cb41cc4+ds3-2.dsc]
- [bornagain_22~git20240726093306.cb41cc4+ds3.orig.tar.xz]
- [bornagain_22~git20240726093306.cb41cc4+ds3-2.debian.tar.xz]
維護小組：
- Debian PaN Maintainers (QA 頁面)
- Debian Science Maintainers (QA 頁面, 郵件存檔)
- Mika Pflüger (QA 頁面)
- Picca Frédéric-Emmanuel (QA 頁面)
- Roland Mas (QA 頁面)
外部的資源：
- 主頁 [bornagainproject.org]
相似套件：
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.
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- dep: libboost-iostreams1.83.0 (>= 1.83.0)
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