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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 66: Focus Session: Big Data in Aquisition in ARPES (joint session O/CPP)

CPP 66.6: Vortrag

Mittwoch, 18. März 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.