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. 2014 May 10;47(Pt 3):1132–1139. doi: 10.1107/S1600576714005147

Table 1. Overview of the most widespread programs to analyse SAS data by the direct modelling approach.

Program Features Global fit
FISH (Heenan, 2005) A limited number of data sets may be fitted simultaneously to the same model. Size polydispersity and some constraints, such as known molecular volumes or shell thicknesses, may also be incorporated. The models are grouped by functionality, and a structure factor S(q) multiplies the previously accumulated form factor(s). Yes
IRENA (Ilavsky & Jemian, 2009) Package typically deployed for the analysis of SAS data in materials science, chemistry, polymers, metallurgy, and the physics of solid or liquid samples. It addresses complex systems with size distributions, hierarchical structures, diffraction peaks etc. Yes
NCNR (Kline, 2006) Data reduction and analysis of SANS and USANS data on the basis of model-independent methods or nonlinear fitting deploying a large catalogue of structural models. Smearing effects can be accounted for automatically during analysis and any number of data sets can be analysed simultaneously. Models and data-reduction operations allow users to contribute their code and models for general distribution. No
SASfit (Kohlbrecher & Bressler, 2006) The program has been written for analysing and displaying SAS data. It can calculate integral structural parameters like radius of gyration, scattering invariant, Porod constant and so forth. Furthermore, it can fit size distributions together with several form factors, including different structure factors. A global fitting algorithm has been implemented in SASfit, which allows the simultaneous fitting of several scattering curves using a common set of parameters. The global fit helps to determine model parameters unambiguously, which could possibly suffer from strong correlation if one analyses only an individual curve. Yes