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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 66.5: Vortrag

Mittwoch, 18. März 2020, 11:45–12:00, REC C 213

Challenges in data collection at a modern cw laser-driven spin-ARPES system — Tristan Heider¹, Peter Baltzer², Claus M. Schneider¹, and •Lukasz Plucinski¹ — ¹FZ Jülich PGI-6, Jülich, Germany — ²MBS AB, Uppsala, Sweden

At PGI-6 in Jülich we operate a laser-driven angle- and spin-resolved photoemission (spin-ARPES) system, based on the A1 hemispherical analyzer with the lens deflector (MBS AB) and a single k-point Ferrum spin detector (Focus GmbH). The details of the system are described in a separate talk [1].

The typical data sets at our laboratory are 3D k_x vs. k_y vs. E_kin spin-integrated ARPES and 2D k_x vs. k_y spin maps. The size of a typical 3D dataset is approx. 100 MB, and for a complete measurement with the 6eV cw laser we take 4 of such sets, two with linear and two with circular light polarizations. The angular range of a single set is approx. 35^∘, therefore often more than one sample position needs to be measured, and a daily dataset exceeds 1 GB.

We will discuss the data collecting techniques, the data format, the data plotting, and the data storage and backup. We typically use MATLAB for data evaluation, however, we will discuss other options that might be more efficient for quick scanning through the large 3D datasets. We will use datasets from Fe-based superconductor and from 3D topological insulator as examples, and discuss challenges in evaluation of such data.

[1] T. Heider et al. this conference.