SKM 2023 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
O: Fachverband Oberflächenphysik
O 84: Focus Session: Making Experimental Data F.A.I.R. – New Concepts for Research Data Management I (joint session O/TT)
O 84.3: Vortrag
Donnerstag, 30. März 2023, 15:45–16:00, WIL A317
An efficient workflow for processing single event dataframes. — •Steinn Ýmir Ágústsson1, M. Zain Sohail2,3, David Doblas Jiménez4, Dmytro Kutnyakhov3, and Laurenz Rettig5 — 1Aarhus University, DK — 2RWTH, Aachen — 3DESY, Hamburg — 4Eu-XFEL, Schenefeld — 5FHI, Berlin
Single event resolved data streams measured by delay-line-detectors allow to correlate each measured photoelectron with the state of the experimental apparatus. This allows corrections and calibrations to be applied on a shot-to-shot basis and a flexible investigation of correlations between various measurement parameters.
We are developing an open-source python package[1], where highly optimized dataframe management and binning methods enable leveraging the full potential of event-resolved data structures. The flexible design of the pipeline allows processing any event-resolved data stream.
With momentum microscopy as the primary target application, we developed axis calibration and artifact correction methods designed to be agnostic to the experimental apparatus. These methods are tested on data generated by microscopes at FELs (HEXTOF@FLASH) as well as at HHG sources (FHI), but are easily exended to other end-stations using similar detection techniques.
Our aim is to provide tools for the community which will reduce the development time for each end station, as well as an open and accessible data processing pipeline, built around the FAIR data principles.
[1] github.com/openCOMPES/sed