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SasView v4 - Data analysis for small angle scattering

QUICK INFORMATION
Type
SciSoft Coffee and Soft Matter Café Seminar
Start Date
03-04-2017 15:00
End Date
03-04-2017 16:30
Location
Science Building Seminar Room 036
Speaker's name
Dr. Andrew Jackson
Speaker's institute
European Spallation Source on behalf of the SasView Developers
Contact name
Fabienne Mengoni
Host name
M. Gonzalez, C. Ferrero, D. Pontoni and Y. Gerelli
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SasView is a data analysis package for Small Angle Scattering, developed by an international collaboration of facilities and universities. It primarily provides model fitting to 1D and 2D scattering patterns, including resolution smearing of the model. Fitting of polarised neutron scattering data, and data from oriented systems, is supported. There are also modules for performing inversion of scattering data to P(r), calculating the scattering invariant, and calculating scattering length densities.

Version 4 of the package has recently been released and contains major enhancements over the version 3 series. The main feature of this release is a complete re-design of the way scattering models are incorporated into the program. All models in the new architecture, whether they are user-provided or shipped with the package, now share a common API. This addresses the single most requested enhancement received from users by simplifying the creation of new and more complex models. Users can add their own models purely using Python or with a mixture of Python and C and both will be compiled on-the-fly. User-provided models now have full access the SasView polydispersity routines. Alongside this enhancement we have also provided a 'Model Marketplace' where users can lodge their models for use by other users, or for consideration as built-in models in subsequent releases of the program.

Other enhancements include:
- support for OpenCL (for utilizing GPUs if available)
- improved numerical integration routines (for speed and precision)
- support for the new NXCanSAS data format (as the emerging and generic standard for reduced n- dimensional data)
- improvements to the data plotting interface
- significant improvements to the documentation

Visitors from off-site please contact Fabienne Mengoni tel +33 (0)4 76 88 20 44 to arrange for a gate pass.
Requests made by e-mail will be confirmed.
If you do not receive a confirmation e-mail, please contact us by phone.