Tomecki, D.; Dillmann, A.; Burke, D.; Lott, E.; Porzio, L.; Bajdel, M.; Vadilonga, S.; Patel, S.; Smith, W.: Bluesky NeXus: a solution for NeXus-compliant data acquisition in Bluesky. In: Kent Wootton ... [Ed.] : ICALEPCS 2025 : Proceedings of the 20th International Conference on Accelerator and Large Experimental Physics Control Systems : Argonne National Laboratory in Chicago, IL, United States, from 20–26 September, 2025Geneve: JACoW, 2025. - ISBN 978-3-95450-255-4, p. TUPD/752-757
10.18429/JACoW-ICALEPCS2025-TUPD110
Open Access Version
Abstract:
Modern scientific experiments require rich, standardized metadata to ensure data is Findable, Accessible, Interoperable, and Reusable (FAIR). The NeXus format?a hierarchical data standard used in neutron, x-ray, and muon science - provides a structured way to organize such metadata, but integrating it automatically into acquisition workflows remains a challenge. We present Bluesky NeXus, a Python package that enables automated, standards-compliant NeXus data generation within Bluesky - a modular Python-based framework for experiment control and data acquisition widely used at synchrotron and neutron facilities.