• Corpus ID: 60030605

SASfit: A comprehensive tool for small-angle scattering data analysis

@article{Bressler2015SASfitAC,
  title={SASfit: A comprehensive tool for small-angle scattering data analysis},
  author={Ingo Bressler and Joachim Kohlbrecher and Andreas F. Thunemann},
  journal={arXiv: Data Analysis, Statistics and Probability},
  year={2015}
}

• I. Bressler, J. Kohlbrecher, Andreas F. Thunemann
• Published 9 June 2015
• Materials Science
• arXiv: Data Analysis, Statistics and Probability

Small-angle X-ray and neutron scattering experiments are used in many fields of the life sciences and condensed matter research to obtain answers to questions about the shape and size of nano-sized structures, typically in the range of 1 to 100 nm. It provides good statistics for large numbers of structural units for short measurement times. With the ever-increasing quantity and quality of data acquisition, the value of appropriate tools that are able to extract valuable information is steadily increasing. SASfit has been one of the mature programs for small-angle scattering data analysis available for many years. We describe the basic data processing and analysis work-flow along with recent developments in the SASfit program package (version 0.94.6). They include (i) advanced algorithms for reduction of oversampled data sets (ii) improved confidence assessment in the optimized model parameters and (iii) a flexible plug-in system for custom user-provided models. A scattering function of a mass fractal model of branched polymers in solution is provided as an example for implementing a plug-in. The new SASfit release is available for major platforms such as Windows, Linux and Mac OS X. To facilitate documentation, it includes improved indexed user documentation as well as a web-based wiki for peer collaboration and online videos for introduction of basic usage. The usage of SASfit is illustrated by interpretation of the small-angle X-ray scattering curves of monomodal gold nanoparticles (NIST reference material 8011) and bimodal silica nanoparticles (EU reference material ERM-FD-102).