Speaker
Description
At light sources like the European X-Ray Free-Electron Laser (EuXFEL), the high pulse repetition rates generate vast quantities of data that are challenging to track and analyze in real-time. Traditionally, users have relied on manual, error-prone spreadsheets to maintain run tables and record metadata. This presentation introduces the Data And Metadata iNspection Interactive Thing (DAMNIT), a specialized tool designed to automate the creation of experiment overviews. By executing user-defined Python "context files," DAMNIT extracts scientific metadata and computes primary results as soon as experimental data is available. Integrated with facility-wide services for event triggers and distributed processing, DAMNIT provides a unified interface via both a Qt-based desktop client and a modern web frontend, that enables researchers to monitor, plot, and programmatically access their results through a dedicated Python API.
The presentation will focus on concrete use cases demonstrating how DAMNIT has been deployed across diverse scientific instruments at EuXFEL to streamline complex workflows.
