Small-Angle Scattering Special Interest Group at the Advanced Photon Source
The Small-Angle Scattering special interest group at Argonne National Laboratory has been created to promote awareness of the small-angle scattering facilities at the APS and elsewhere on the Argonne campus and to foster communications between the various research groups. Through this group, we believe we can build a strong user community for small-angle scattering at the APS and throughout Argonne.
SAXS Software Packages Irena and Nika
Next course at the APS is scheduled for May 2019.
To preregister contact Connie.
Successful small-angle x-ray scattering (SAXS) experiment requires appropriate data reduction and analysis tools. Igor Pro based packages Nika (for SAXS data reduction) and Irena (for SAXS data analysis) were developed during the last 10 years at the APS. They are already being used widely for material science SAXS at the APS and at other facilities worldwide. These tools are commonly taught during "Beyond Rg" - SAXS short course organized semi-annually by APS SAXS SIG (next one scheduled for March 2012). However, the main audience of the SAXS short course is new SAXS users, starting with their own SAXS program and therefore it focuses more heavily on experiments, theory etc. The time devoted in this course for software is insufficient for experienced experimenters interested in complex software applications.
Therefore, the APS SAXS Special Interest Group (SIG) is organizing this specialized, hands-on, course specifically on the SAXS software Nika and Irena. The course will be taught by the software author, Jan Ilavsky, APS staff member. In order to provide high educational value, the number of participants will be limited to 20. Participants are expected to have a high level of SAXS experience and bring their own computers (Windows or OSX). In addition, they are encouraged to bring their own SAXS experimental results.
NOTE: This course is NOT for BioSAXS (protein structure and similar mono dispersed systems), the Irena software is mostly suitable for polydispersed and complex (hierarchical) systems. If you are not sure if your scientific application fits in the scope of this software, please ask.