Data analysis at the European XFELZoom Video Conference

Europe/Berlin
Online

Online

Luca Gelisio (European XFEL)
Description

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.

    • 09:45 10:00
      Welcome 15m
      Speaker: Luca Gelisio (European XFEL)
    • 10:00 10:30
      Preamble 30m

      How to get started: Maxwell, finding your data and useful software.

      Speaker: Robert Rosca (Eur.XFEL (European XFEL))
    • 10:30 11:15
      Online analysis 45m

      Performing quasi real-time analysis: Extra-foam, Extra-metro, Karabo bridge.

      Speakers: James Wrigley (Eur.XFEL (European XFEL)), Philipp Schmidt (Eur.XFEL (European XFEL))
    • 11:15 12:00
      Offline analysis 45m

      How to read data and perform some analysis.

      Speaker: Thomas Kluyver (Eur.XFEL (European XFEL))
    • 12:00 13:00
      Break 1h
    • 13:00 13:30
      GroEL diffraction at SQS: Finding the protein needle in a haystack of background 30m
      Speaker: Dr Tomas Ekeberg (Uppsala University)
    • 13:30 14:00
      Data processing and reduction in serial crystallography 30m
      Speakers: Marina Galchenkova (Center for Free-Electron Laser Science), Oleksandr Yefanov (FS-CFEL-1 (Forschung mit Photonen Experimente 1))
    • 14:00 14:30
      Towards a streaming algorithm for AGIPD calibration and photon counting 30m
      Speaker: Felix Brausse (Eur.XFEL (European XFEL))
    • 14:30 15:00
      Steps towards a real-time pipeline for MHz X-ray imaging 30m
      Speaker: Pablo Villanueva Perez (CFEL)
    • 15:00 15:15
      Break 15m
    • 15:15 15:45
      A deep dive into the mathematics of Machine Learning 30m

      Crash course on machine learning.

      Speaker: Danilo Enoque Ferreira de Lima (Eur.XFEL (European XFEL))

      Jupyter notebooks at: https://git.xfel.eu/danilo/ml-tutorial

    • 15:45 16:05
      Artificial intelligence activities 20m

      Artificial intelligence activities within the Data Analysis group.

      Speakers: Arman Davtyan (Eur.XFEL (European XFEL)), Yue Sun (Eur.GPEX)
    • 16:05 16:25
      Automated SFX analysis 20m

      A pipeline for the automatic analysis of serial femtosecond crystallography data.

      Speakers: Fabio Dall'Antonia (Eur.XFEL (European XFEL)), Oleksii Turkot (Eur.XFEL (European XFEL))
    • 16:25 16:45
      Data reduction at EuXFEL: first steps 20m

      Overview of ideas for data reduction at the European XFEL.

      Speaker: Egor Sobolev (Eur.XFEL (European XFEL))
    • 16:45 17:00
      Break 15m
    • 17:00 18:30
      Round table 1h 30m

      Discussion with participants on several topics.

      Speaker: Philipp Schmidt (Eur.XFEL (European XFEL))