Skip to content

Latest commit

 

History

History
17 lines (12 loc) · 799 Bytes

README.md

File metadata and controls

17 lines (12 loc) · 799 Bytes

HiPGISAXS

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

Requirements

  1. numpy
  2. h5py
  3. matplotlib

Publications

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

  1. 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.

  2. 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.