Page tree


Welcome to DPDAK

DPDAK is an open source (GPL) tool developed for (online) analysis of large sequences of small angle scattering data - but can be used for other data as well. It is written in Python and runs on Windows and Linux. The development is a cooperation between DESY and MPIKG.

 

The plugins ImageIntegration1d, ImageIntegrationSubBG and SAXS/WAXS calibration uses algorithms from the pyFAI package by Jerome Kieffer (ESRF). The plugin ImageIntegrationSubBG (Fit2D) uses Fit2D software developed by Dr. Andy Hammersley (ESRF).

Download

The latest release is 1.3.0:

  • Because of memory error in  python pyFAI module (since version 0.11.0) for 32-bit machine, we recommend to install the DPDAK v1.3.0 in 64-bit machine.
  • Linux source code from DESY's Git repository

For changes with respect to the previous version v1.3.0, please read the Release Notes v1.3.0.

You can find older releases at the Download page or in the Git repository.

Development/Test downloads

In order to prepare upcoming releases and test new features, you can try the development releases.

If you test these, please reply any issues or comments to the mailing list: dpdak@desy.de

You can find the downloads on the Development Releases page.

News

  • 20.7.2017: DPDAK meeting Hamburg, Preparation of new release is ongoing
  • 13.9.2016: DPDAK meeting in Golm
  • 4.5.2015: Version 1.2.0 of DPDAK is released and can be fetched from the Download page.

Ciitation and Publication

If you use DPDAK in your publication, please cite it. The reference is:

A customizable software for fast reduction and analysis of large X-ray scattering data sets: applications of the new DPDAK package to small angle X-ray scattering and grazing-incidence small angle X-ray scattering, Benecke, G. et al., J. Appl. Cryst. 47, 1797-1803, (2014), doi:10.1107/S1600576714019773.

Links

  • Contact: There is a mailing list for DPDAK: dpdak@desy.de. You are invited to subscribe to be informed about new versions, to ask questions and to provide feedback.
  • Code development for DPDAK is done using Git. You are welcome to browse the repository.






  • No labels