Author: Sachse, S.S.
Paper Title Page
TUPDP014 Bluesky Web Client at Bessy II 518
 
  • H.L. He, G. Preuß, S.S. Sachse, W. Smith
    HZB, Berlin, Germany
  • R. Ovsyannikov
    BESSY GmbH, Berlin, Germany
 
  Funding: Helmholtz-Zentrum Berlin
Considering the existing Bluesky control framework at BESSY II, a web client with React based on Bluesky HTTP Server is being developed. We hope to achieve a cross-platform and cross-device system to realize remote control and monitoring of experiments. The current functions of the system are monitoring of the Bluesky Queue Server status, control over a Bluesky Run Engine environment, browsing of Queue Server history and editing and running of Bluesky plans. Challenges around the presentation of live data are explored. This work builds on that of NSLS II who created a React based web interface and implements a tool for BESSY II.
 
poster icon Poster TUPDP014 [0.311 MB]  
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP014  
About • Received ※ 29 September 2023 — Accepted ※ 01 December 2023 — Issued ※ 11 December 2023  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THMBCMO18 Advancements in Beamline Digital Twin at BESSYII 1236
 
  • S. Vadilonga, G. Günther, S. Kazarski, R. Ovsyannikov, S.S. Sachse, W. Smith
    HZB, Berlin, Germany
 
  This presentation reports on the status of beamline digital twins at BESSY II. To provide a comprehensive beamline simulation experience we have leveraged BESSY II’s x-ray tracing program, RAY-UI[*], widely used for beamline design and commissioning and best adapted to the requirements of our soft X-ray source BESSY II. We created a Python API, RayPyNG, capable to convert our library of beamline configuration files produced by RAY-UI into Python objects[**]. This allows to embed beamline simulation into Bluesky[***], our experimental controls software ecosystem. All optical elements are mapped directly into the Bluesky device abstraction (Ophyd). Thus beamline operators can run simulations and operate real systems by a common interface, allowing to directly compare theory predictions with real-time results[****]. We will discuss the relevance of this digital twin for process tuning in terms of enhanced beamline performance and streamlined operations. We will shortly discuss alternatives to RAY-UI like other software packages and ML/AI surrogate models.
[*]https://doi.org/10.1063/1.5084665
[**]https://raypyng.readthedocs.io/
[***]https://doi.org/10.1080/08940886.2019.1608121
[****]https://raypyng-bluesky.readthedocs.io/
 
slides icon Slides THMBCMO18 [0.333 MB]  
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO18  
About • Received ※ 06 October 2023 — Accepted ※ 11 December 2023 — Issued ※ 16 December 2023  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)