pyDIDAS (python DIffraction Data Analysis Suite) is a toolset developed at Helmholtz-Zentrum Hereon to improve the ease of use and efficiency of diffraction data analysis. A key requirement is to create a graphical user interface of the software and processing which scales with available resources to allow running pyDIDAS on a wide range of machines from a small laptop up to a central cluster at the facility level.

Introduction

Two main use cases have been considered:

1. Fast (quasi-live) analysis of diffraction data during beamtimes.

2. Supply users with an easy-to-use software solution which can also be used by users offline and offsite with no/minimal supervision from beamline staff.

The rational behind these two use cases are

• Fast analysis of diffraction data can improve beamtime efficiency, for example in optimizing in situ / operando conditions

• Give beamline staff software tools which facilitate user support during experiments.

• Give users a software tool which allows them to work with their data more independantly of beamline staff support.

• Support users with managing and automatically analyzing ever growing datasets.

Acknowledgements

The pyDIDAS project is funded by Helmholtz-Zentrum Hereon.

The pyDIDAS software uses widgets and tools from the pyFAI and silx projects at the ESRF. The azimuthal integration routines are also taken from the pyFAI distribution.