001     352019
005     20240820102136.0
024 7 _ |a 10.18429/JACOW-IPAC2024-WEPR60
|2 doi
024 7 _ |a 10.15120/GSI-2024-00695
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037 _ _ |a GSI-2024-00695
041 _ _ |a English
100 1 _ |a Hetzel, Jan
|0 P:(DE-Ds200)OR11296
|b 0
|e Corresponding author
|u gsi
111 2 _ |a 15th International Particle Accelerator Conference
|g IPAC'24
|c Nashville, TN
|d 2024-05-19 - 2024-05-24
|w USA
245 _ _ |a Algorithmic access to beam control and beam diagnostics at COSY Jülich
260 _ _ |c 2024
|b JACoW Publishing
300 _ _ |a 2638-2641
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a conference proceedings
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500 _ _ |a Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license.
520 _ _ |a During the last years of operation of the COSY facility, significant improvements were made in beam control and diagnostics. Many systems have been upgraded from a Tcl/Tk based control system to EPICS. One of the advantages of EPICS is the coherent communication via Process Variables (PVs). This allowed us not only to control the synchrotron and its injection beam line (IBL) through GUIs but also allowed us to control the beam with algorithms. In our case, these algorithms covered a range of applications from variation of the currents of the electromagnets up to more advanced techniques of AI/ML such as Bayesian Optimization or beam control with Reinforcement Learning. Due to the unified nature of the PVs, the algorithms can be fed with a plethora of input parameters such as beam positions, beam current, or even live images of a camera. Depending on the algorithm, it is also possible to switch the target quantity (e.g. from measured current at the beam cups to the intensity of the injected beam at COSY). The algorithms can also trigger model calculations and access their results, if desired. We present an overview of different applications and our efforts to prepare COSY for them.
536 _ _ |a 621 - Accelerator Research and Development (POF4-621)
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536 _ _ |a Betrieb und Weiterentwicklung des Kühler-Synchrotrons COSY (FUEK244)
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536 _ _ |a Betrieb und Weiterenwicklung von COSY (FUEK33)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Accelerator Physics
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650 _ 7 |a mc5-beam-dynamics-and-em-fields - MC5: Beam Dynamics and EM Fields
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650 _ 7 |a MC5.D11 - MC5.D11 Code Developments and Simulation Techniques
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693 _ _ |a other
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700 1 _ |a Awal, Awal
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700 1 _ |a Deliege, Christine
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700 1 _ |a Bekman, Ilja
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700 1 _ |a Pretz, Jörg
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700 1 _ |a Simon, Michael
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700 1 _ |a Thelen, Michael
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700 1 _ |a Gebel, Ralf
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700 1 _ |a Modic, Robert
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700 1 _ |a Kamerdzhiev, Vsevolod
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700 1 _ |a Oven, Ziga
|0 P:(DE-HGF)0
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700 1 _ |a Pilat, Fulvia
|b 11
|e Editor
700 1 _ |a Fischer, Wolfram
|b 12
|e Editor
700 1 _ |a Saethre, Robert
|b 13
|e Editor
700 1 _ |a Anisimov, Petr
|b 14
|e Editor
700 1 _ |a Andrian, Ivan
|b 15
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773 _ _ |a 10.18429/JACOW-IPAC2024-WEPR60
856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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910 1 _ |a GSI Helmholtzzentrum für Schwerionenforschung GmbH
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913 1 _ |a DE-HGF
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914 1 _ |y 2024
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