The experiments performed at the European XFEL generate enormous amounts of data. While online analysis, which happens in near real-time, provides crucial feedback to steer the experiment, more rigorous offline analysis is necessary for new scientific findings.
One of the missions of the Data Analysis group is to provide tools to enable analysis and interpretation of data, both online and offline.
The aim of this workshop is to introduce the various tools that we develop and to provide examples of their use, as well as to bring in the point of view of the Users and their feedback. We will also talk about how artificial intelligence and machine learning can be used for data analysis, and discuss new ideas together.
How to get started: Maxwell, finding your data and useful software.
Performing quasi real-time analysis: Extra-foam, Extra-metro, Karabo bridge.
How to read data and perform some analysis.
Crash course on machine learning.
Artificial intelligence activities within the Data Analysis group.
A pipeline for the automatic analysis of serial femtosecond crystallography data.
Overview of ideas for data reduction at the European XFEL.
Discussion with participants on several topics.