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Description

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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Homepage

https://bornagainproject.org/


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