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pynxtools-mpes: A pynxtools reader plugin for multidimensional photoemission spectroscopy (MPES) data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Aug 2025Publisher:Zenodo
Authors: Dobener, Florian; Rettig, Laurenz; Pielsticker, Lukas; Pincelli, Tommaso; Arora, Abeer; Mozumder, Rubel; Brockhauser, Sandor;
Code repository: https://github.com/FAIRmat-NFDI/pynxtools-mpes/tree/v0.2.6

doi: 10.5281/zenodo.17380855 , 10.5281/zenodo.16684729 , 10.5281/zenodo.16684291 , 10.5281/zenodo.19486101 , 10.5281/zenodo.16684290

pynxtools-mpes: A pynxtools reader plugin for multidimensional photoemission spectroscopy (MPES) data

Abstract

pynxtools-mpes is a reader plugin for pynxtools (https://github.com/FAIRmat-NFDI/pynxtools) written in Python. pynxtools-mpes is a tool for reading, translating, and standardizing multidimensional photoemission spectroscopy (MPES) data technology such that it is compliant with the NeXus application definitions NXmpes and NXmpes_arpes (https://fairmat-nfdi.github.io/nexus_definitions/). pynxtools-mpes is developed both as a standalone reader and as a tool within NOMAD, an open-source data management platform for materials science ((https://nomad-lab.eu/nomad-lab/). The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 460197019 (FAIRmat) (https://gepris.dfg.de/gepris/projekt/460197019?language=en).

If you use this software, please cite it using the metadata from this file.

Keywords

pynxtools, Multidimensional Photoelectron Spectroscopy, NOMAD, ARPES, NeXus

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average