Multidimensional data analysis using HyperSpy
November 18, 14:00 CET
HyperSpy is a community-developed open-source library providing a framework to facilitate interactive and reproducible analyses of multidimensional datasets. 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. After 14 years of development, HyperSpy celebrated its 2.0 version release a year ago. It has grown to an ecosystem of python packages that provide dedicated routines not only for many electron miscroscopy based measurement techniques (e.g. EELS, EDX, 4DSTEM, holography, tomography, CL), but now also can be useful for luminescence spectroscopy and other fields where a signal is mapped over multiple dimensions (position, time, angle, etc.).
PDI senior scientist Jonas Lähnemann will give an overview of HyperSpy and core functionalities, and then discuss two examples of extensions: eXSpy for EDX/EELS and LumiSpy for CL/PL to showcase the power of this toolbox. As a follow up, we can offer tutorial sessions to help colleagues get started with the usage in the coming weeks.
