Dresden 2020 – scientific programme
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O: Fachverband Oberflächenphysik
O 62: Focus Session: Big Data in Aquisition in ARPES (joint session O/CPP)
O 62.6: Talk
Wednesday, March 18, 2020, 12:00–12:15, REC C 213
Single event data processing for multidimensional photoemission spectroscopy — •Steinn Ymir Agustsson1, Rui Patrick Xian2, Yves Acremann3, Maciej Dendzik2, Kevin Bühlmann3, Davide Curcio4, Dmytro Kutnyakhov5, Federico Pressacco6, Michael Heber5, Shuo Dong2, Philip Hofmann4, Martin Wolf2, Wilfried Wurth5, Jure Demsar1, Laurenz Rettig2, and Ralph Ernstorfer2 — 1JGU Mainz — 2FHI Berlin — 3ETH Zurich — 4Aarhus University — 5DESY Photon Science, Hamburg — 6Uni-Hamburg
The advent of novel electron detectors has opened up the field of photoemission spectroscopy to the single event detection regime. This significantly extends the accessible multidimensional parameter space for data acquisition, but also drastically increases the output of data from such experiments to the tens of MB/s regime. Handling such data therefore requires new approaches for data treatment, but also presents the opportunity for more advanced post-processing and analysis techniques. We present a distributed workflow for processing multidimensional photoemission data into an open source unified data structure. This allows, when combined with open source analysis algorithms, to directly apply such routines on data sets obtained from different experimental setups, from large scale facilities to table-top systems.