Difference between revisions of "Software"

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(Geared towards 2D data)
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* '''BornAgain''': Python implementation of DWBA modeling (similar to IsGISAXS, but more modern). Allows for [[GISANS]] and GISAXS simulation and fitting. Available on Linux and MacOS. Written by the [http://apps.jcns.fz-juelich.de/doku/sc/start Scientific Computing Group] at [http://www.mlz-garching.de/ MLZ Garching].
 
* '''BornAgain''': Python implementation of DWBA modeling (similar to IsGISAXS, but more modern). Allows for [[GISANS]] and GISAXS simulation and fitting. Available on Linux and MacOS. Written by the [http://apps.jcns.fz-juelich.de/doku/sc/start Scientific Computing Group] at [http://www.mlz-garching.de/ MLZ Garching].
 
** [http://apps.jcns.fz-juelich.de/doku/sc/bornagain:start Official site.]
 
** [http://apps.jcns.fz-juelich.de/doku/sc/bornagain:start Official site.]
* '''[[HipGISAXS]]''': A high-performance (GPU and massively parallel) C++ software for simulating GISAXS data.
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* '''[[HipGISAXS]]''': A high-performance (massively parallel) C++ software for simulating GISAXS data.
 
** Citation: S. Chourou, A. Sarje, X.S. Li, E. Chan, A. Hexemer, "[http://scripts.iucr.org/cgi-bin/paper?nb5076 HipGISAXS: A High Performance Computing Code for Simulating Grazing Incidence X-Ray Scattering Data]" ''Journal of Applied Crystallography'' 2013, 46, 6, 1781-1795. [http://dx.doi.org/10.1107/S0021889813025843 doi: 10.1107/S0021889813025843]
 
** Citation: S. Chourou, A. Sarje, X.S. Li, E. Chan, A. Hexemer, "[http://scripts.iucr.org/cgi-bin/paper?nb5076 HipGISAXS: A High Performance Computing Code for Simulating Grazing Incidence X-Ray Scattering Data]" ''Journal of Applied Crystallography'' 2013, 46, 6, 1781-1795. [http://dx.doi.org/10.1107/S0021889813025843 doi: 10.1107/S0021889813025843]
 
** Citation: A. Sarje, X.S. Li, S. Chourou, E. Chan, A. Hexemer, "[http://dl.acm.org/citation.cfm?id=2389059 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.
 
** Citation: A. Sarje, X.S. Li, S. Chourou, E. Chan, A. Hexemer, "[http://dl.acm.org/citation.cfm?id=2389059 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.

Revision as of 13:18, 1 August 2014

A common question for new GISAXS users is: "What software can I use to analyze my data?" Unfortunately, there is no single package that will allow you to perform any possible analysis. This is in part due to the diversity of possible kinds of data analysis one might want to do on GISAXS or GIWAXS images. The following lists a variety of packages that are available.

Data Viewing, Reduction, and Simple Analysis

These packages provide ways to view data, and perform simple operations (linecuts, etc.).

Geared towards 2D data

  • Fit2D: A well-known package for treatment and conversion 2D scattering images.
  • Datasqueeze: Graphical tool for analyzing 2D detector images.
  • ImageJ: A generic tool for image treatment and analysis. Can be used to open and process x-ray detector images.
  • view.gtk: A simple interface for viewing 2D data, calibrating your data into q-space, and extracting linecuts. Written by Lin Yang for the X9 beamline at NSLS. Installation requires (free) GTK libraries.
  • pyXS: Python scripts (with C++ backend) for performing analysis of 2D data.
  • GIXSGUI: Visualization and reduction package for GISAXS. Requires the commerical Matlab software. Written by Zhang Jiang (APS).

Geared towards 1D data

Data Modeling and Fitting

These packages can predict scattering curves for various possible nano- or molecular- structures. Some of the packages allow fitting of experimental data.

SAXS

GISAXS

Reflectivity

See Also