Difference between revisions of "Tutorials"
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* [[Tutorial:What to do with data|What do I do with my data?]] | * [[Tutorial:What to do with data|What do I do with my data?]] | ||
** [[Tutorial:Qualitative inspection|Qualitative inspection]] | ** [[Tutorial:Qualitative inspection|Qualitative inspection]] | ||
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| + | ==Experimental Help== | ||
| + | * [[GISAXS alignment]] | ||
| + | * [[Grating alignment]] | ||
Revision as of 16:58, 13 June 2014
This page provides tutorials (basic and advanced) to help GISAXS users with experiment design, data analysis, and data modeling:
Slides from Presentations
- Theory of GISAXS, Zhang Jiang (Advanced Photon Source, Argonne National Laboratory): Introduction to the theoretical methods required for correctly analyzing and modeling GISAXS data, including the DWBA and waveguide effects.
- GIXS: hands-on data analysis, Joe Strzalka (Advanced Photon Source, Argonne National Laboratory): An introduction to practical aspects of interpreting and analyzing grazing-incidence data, including the use of GIXSGUI software.
- GISAXS/GIWAXS Data Analysis: Thinking in Reciprocal-Space, Kevin Yager (National Synchrotron Light Source and Center for Functional Nanomaterials, Brookhaven National Laboratory): An introduction to the interpretation and basic analysis of GISAXS data, in particular in relation to the concept of how the experiment probes a slice through the 3D reciprocal-space.
- GISAS Data Analysis with BornAgain, Walter Van Herck (Jülich Centre for Neutron Science JCNS, Germany): Description of how to use the BornAgain software for quantitatively modeling and fitting GISAXS data.
- High performance GISAXS, Alexander Hexemer (Advanced Light Source, Lawrence Berkeley National Laboratory): Description of recent developments in the high-throughput and high-performance modeling of GISAXS data, in particular describing the HipGISAXS software.
Frequently Asked Questions
- What are the sample/substrate requirements for GISAXS?
- What software is available for analysis?
- What do I do with my data?
