Difference between revisions of "Software"

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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 page.]
 
** [http://apps.jcns.fz-juelich.de/doku/sc/bornagain:start Official page.]
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* '''[[HipGISAXS]]''': A high-performance (GPU and massively parallel) C++ software for simulating GISAXS data.
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* Citation:
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** [http://portal.nersc.gov/project/als/hipgisaxs/ Official page.]
  
 
===Reflectivity===
 
===Reflectivity===

Revision as of 09:49, 3 June 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.).

  • Fit2D: A well-known package for treatment and conversion 2D scattering 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.
    • [Download here.] Installation requires GTK libraries.
  • DPDAK: Open-source Python tool for analyzing large sets of SAXS data. Wrosk on Linux and Windows.

Data Modeling and Fitting

SAXS

  • Scatter: Targetted towards analysis of transmission-mode SAXS and SANS. Allows modeling of nano- and meso-structrue materials (surfactants, lipids, micelles, vesicles, block-copolymers, etc.).

GISAXS

Reflectivity