DATA-X

Data reduction for photon and neutron science

Objectives

The goal is to address the data deluge in modern photon and neutron science by uniting multiple Helmholtz centers in three key areas: selecting, reducing, and preprocessing data in near real time. Advances in high-flux photon and neutron sources, coupled with fast pixel detectors and automated image acquisition, enable high-throughput imaging of materials and processes. However, these experiments produce overwhelming data rates and volumes. This project focuses on developing integrated pipelines for real-time data reduction, fusion, and multi-modal imaging correlation in photon science.

KIT Team

  • Dr. Tomáš Faragó
  • Gabriel Lefloch

Other Partners

  • Anton Barty, Jochen Küpper, Heinz Graafsma, Christian Schroer (DESY)
  • Michael Bussmann (HZDR)
  • Marc Weber (KIT)
  • Rafal E. Dunin-Borkowski, Knut Müller-Caspary (FZJ)
  • Stephan Förster, Joachim Wuttke, Cedric Gommes (JCNS/FZJ)
  • Ralf Röhlsberger Thomas Stöhlker (HIJ)
  • Martin Müller, Jörg Hammel, Felix Beckmann (HZG)
  • Ingo Manke, André Hilger, Jens Viefhaus (HZB)

Funding

The project is funded by the Helmholtz Innovation Pool 2021-2024