Dresden 2026 – wissenschaftliches Programm

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FM: Fachverband Funktionsmaterialien

FM 1: Hands-on Tutorial: HyperSpy – Multidimensional data analysis using Python (joint session FM/TUT)

Sonntag, 8. März 2026, 16:00–18:15, HSZ/0002

HyperSpy is a community-developed, open-source library providing a framework to facilitate interactive analyses of multidimensional datasets – in particular spectrum images – in an easy and reproducible fashion. It facilitates the application of analytical procedures operating on individual spectra/images to a multi-dimensional dataset and gives easy access to tools that exploit the multi-dimensionality of the dataset. Born out of the electron microscopy scientific community and building on the extensive scientific Python environment, HyperSpy provides tools to efficiently explore, manipulate, and visualize complex datasets of arbitrary dimensionality, including those larger than a system’s memory. The HyperSpy ecosystem includes Python packages that provide dedicated routines for many electron microscopy-based measurement techniques, but also for luminescence spectroscopy and other fields. Through the library RosettaSciIO, the reading and writing of a large range of file formats is supported.

Please bring your laptop. There will be limited power outlets in the room, so come with a fully charged battery.

Materials will be made available from 01.03.2026 via a dedicated GitHub repository. Participants are encouraged to download them ahead of time, set-up Python on their computer following the instructions and run the jupyter notebooks presented during the tutorials on their laptops:

https://github.com/LumiSpy/DPG2026-Tutorial

Organized by Jonas Lähnemann (PDI Berlin), Benedikt Haas (HU Berlin), Aidan Campbell (PDI Berlin), Hannah C. Nerl (HU Berlin) and Magnus Nord (NTNU Trondheim).

	16:00	FM 1.1	Introduction to HyperSpy — •Jonas Lähnemann, Aidan F. Campbell, Hannah C. Nerl, Magnus Nord, and Benedikt Haas
	16:15	FM 1.2	Tutorium: Hands-On Session 1: General usage HyperSpy/RosettaSciIO — •Jonas Lähnemann
	16:45	FM 1.3	Tutorium: lumiSpy for luminescence spectroscopy — •Aidan Campbell
	17:15	FM 1.4	Tutorium: Hyperspy for Electron Energy-loss Spectroscopy — •Hannah Nerl
	17:45	FM 1.5	Tutorium: Using pyXem for magnetic and structural analysis of 4D-STEM data — •Magnus Nord