HiPGISAXS

HiPGISAXS is a Grazing Incidence Scattering simulator that relies on Distorted Wave Approximation to calculate scattering patterns.

Requirements

When using HipGISAXS software, please cite the following in your work:

S. Chourou, A. Sarje, X.S. Li, E. Chan, A. Hexemer, "HipGISAXS: A High-Performance Computing Code for Simulating Grazing Incidence X-Ray Scattering Data," Journal of Applied Crystallography, vol. 46, no. 6, pp. 1781-1795, 2013.
A. Sarje, X.S. Li, S. Chourou, E. Chan, A. Hexemer, "Massively Parallel X-ray Scattering Simulations," in Proceedings of the International Conference on High-Performance Computing, Networking, Storage and Analysis (Supercomputing, SC'12), no. 46, pp. 46:1-46:11, November 2012.

Name		Name	Last commit message	Last commit date
Latest commit History 67 Commits
examples		examples
hipgisaxs		hipgisaxs
json		json
samples		samples
scripts		scripts
src		src
CMakeLists.txt		CMakeLists.txt
LICENSE.txt		LICENSE.txt
README.md		README.md
main.py		main.py
requirements.txt		requirements.txt
setup.py		setup.py