ICALEPCS2021 - List of Authors (Kazarski, S.)

Paper	Title	Page
FRBR03	Status of Bluesky Deployment at BESSY II	1064
	W. Smith, S. Kazarski, R. Müller, P. Schnizer, S. Vadilonga, L. Vera Ramiréz HZB, Berlin, Germany
	The modernization plan for the experimental DAQ at the BESSY II is underpinned by the capabilities provided by the Bluesky software ecosystem. To interface with the hardware Bluesky relies on the Ophyd library, that provides a consistent high-level interface across a wide-range of devices. Many elements of the accelerator, some beamlines and endstations are adopting the Bluesky software. To meet FAIR data obligations, the capture of metadata with Bluesky and the export into a permanent and easily accessible storage called ICAT are investigated. Finally, initial studies to investigate the integration of ML methods, like reinforcement learning were performed. This paper reports on the work that has been done so far at BESSY II to adopt Bluesky, problems that have been overcome and lessons learned.
	Slides FRBR03 [2.338 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR03
About •	Received ※ 08 October 2021 Revised ※ 20 October 2021 Accepted ※ 22 December 2021 Issue date ※ 25 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Status of Bluesky Deployment at BESSY II

1064

W. Smith, S. Kazarski, R. Müller, P. Schnizer, S. Vadilonga, L. Vera Ramiréz
HZB, Berlin, Germany

The modernization plan for the experimental DAQ at the BESSY II is underpinned by the capabilities provided by the Bluesky software ecosystem. To interface with the hardware Bluesky relies on the Ophyd library, that provides a consistent high-level interface across a wide-range of devices. Many elements of the accelerator, some beamlines and endstations are adopting the Bluesky software. To meet FAIR data obligations, the capture of metadata with Bluesky and the export into a permanent and easily accessible storage called ICAT are investigated. Finally, initial studies to investigate the integration of ML methods, like reinforcement learning were performed. This paper reports on the work that has been done so far at BESSY II to adopt Bluesky, problems that have been overcome and lessons learned.

Slides FRBR03 [2.338 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR03

About •

Received ※ 08 October 2021 Revised ※ 20 October 2021 Accepted ※ 22 December 2021 Issue date ※ 25 February 2022

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)