| Title |
Python Expert Applications for Large Beam Instrumentation Systems at CERN |
| Authors |
- J. Martínez Samblas, E. Calvo Giraldo, M. Gonzalez-Berges, M. Krupa
CERN, Meyrin, Switzerland
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| Abstract |
In recent years, beam diagnostics systems with increasingly large numbers of monitors, and systems handling vast amounts of data have been deployed at CERN. Their regular operation and maintenance poses a significant challenge. These systems have to run 24/7 when the accelerators are operating and the quality of the data they produce has to be guaranteed. This paper presents our experience developing applications in Python which are used to assure the readiness and availability of these large systems. The paper will first give a brief introduction to the different functionalities required, before presenting the chosen architectural design. Although the applications work mostly with online data, logged data is also used in some cases. For the implementation, standard Python libraries (e.g. PyQt, pandas, NumPy) have been used, and given the demanding performance requirements of these applications, several optimisations have had to be introduced. Feedback from users, collected during the first year’s run after CERN’s Long Shutdown period and the 2023 LHC commissioning, will also be presented. Finally, several ideas for future work will be described.
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| Paper |
download THPDP061.PDF [1.768 MB / 5 pages] |
| Poster |
download THPDP061_POSTER.PDF [2.005 MB] |
| Cite |
download ※ BibTeX
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※ EndNote |
| Conference |
ICALEPCS2023 |
| Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (19th) |
| Location |
Cape Town, South Africa |
| Date |
09-13 October 2023 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Andy Götz (ESRF, Grenoble, France); Johan Venter (SARAO, Cape Town, South Africa); Karen White (SNS, Oak Ridge, TN, USA); Marie Robichon (ESRF, Grenoble, France); Vivienne Rowland (SARAO, Cape Town, South Africa) |
| Online ISBN |
978-3-95450-238-7 |
| Online ISSN |
2226-0358 |
| Received |
05 October 2023 |
| Revised |
26 October 2023 |
| Accepted |
13 December 2023 |
| Issued/td>
| 21 December 2023 |
| DOI |
doi:10.18429/JACoW-ICALEPCS2023-THPDP061 |
| Pages |
1460-1464 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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