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RIS citation export for MOP11: Continuous data-driven control of the GTS-LHC ion source at CERN

TY  - CONF
AU  - Kain, V.
AU  - Bruchon, N.
AU  - Hirlaender, S.
AU  - Küchler, D.
AU  - Rodriguez Mateos, B.
ED  - Maimone, Fabio
ED  - Schaa, Volker RW
ED  - Mueller, Raphael
TI  - Continuous data-driven control of the GTS-LHC ion source at CERN
J2  - Proc. of ECRIS2024, Darmstadt, Germany, 15-19 September 2024
CY  - Darmstadt, Germany
T2  - International Workshop on Electron Cyclotron Resonance Ion Sources
T3  - 26
LA  - english
AB  - Recent advances with the CERN infrastructure for machine learning allows to deploy state-of-the-art data-driven control algorithms for stabilising and optimising particle accelerator systems. This contribution summarises the results of the first tests with different continuous control algorithms to optimise the intensity out of the CERN LINAC3 source. The task is particularly challenging due to the different latencies for control parameters that range from instantaneous response, to full response after only ~30 minutes. The next steps and a vision towards full deployment and autonomous source control will also be discussed.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 56
EP  - 59
KW  - injection
KW  - controls
KW  - solenoid
KW  - linac
KW  - plasma
DA  - 2024/09
PY  - 2024
SN  - 2222-5692
SN  - 978-3-95450-257-8
DO  - doi:10.18429/JACoW-ECRIS2024-MOP11
UR  - https://jacow.org/ecris2024/papers/mop11.pdf
ER  -