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RIS citation export for WEPOST013: Exploitation of Crystal Shadowing via Multi-Crystal Array, Optimisers and Reinforcement Learning

TY  - CONF
AU  - Velotti, F.M.
AU  - Di Castro, M.
AU  - Esposito, L.S.
AU  - Fraser, M.A.
AU  - Gilardoni, S.S.
AU  - Goddard, B.
AU  - Kain, V.
AU  - Matheson, E.
ED  - Zimmermann, Frank
ED  - Tanaka, Hitoshi
ED  - Sudmuang, Porntip
ED  - Klysubun, Prapong
ED  - Sunwong, Prapaiwan
ED  - Chanwattana, Thakonwat
ED  - Petit-Jean-Genaz, Christine
ED  - Schaa, Volker R.W.
TI  - Exploitation of Crystal Shadowing via Multi-Crystal Array, Optimisers and Reinforcement Learning
J2  - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022
CY  - Bangkok, Thailand
T2  - International Particle Accelerator Conference
T3  - 13
LA  - english
AB  - The CERN Super Proton Synchrotron (SPS) routinely delivers proton and heavy ion beams to the North experimental Area (NA) in the form of 4.8 s spills. To produce such a long flux of particles, resonant third integer slow extraction is used, which, by design, foresees primary beam lost on the electrostatic septum wires to separate circulating from extracted beam. Shadowing with thin bent crystal has been proposed and successfully tested in the SPS, as detailed in *. In 2021, a thin crystal was used for physics production showing results compatible with what measured during early testing. In this paper, the results from the 2021 physics run are presented also comparing particle losses at extraction with previous operational years. The setting up of the crystal using numerical optimisers is detailed, with possible implementation of reinforcement learning (RL) agents to improve the setting up time. Finally, the full exploitation of crystal shadowing via multi-array crystals is discussed, together with the performance reach in the SPS.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1707
EP  - 1710
KW  - operation
KW  - extraction
KW  - septum
KW  - simulation
KW  - proton
DA  - 2022/07
PY  - 2022
SN  - 2673-5490
SN  - 978-3-95450-227-1
DO  - doi:10.18429/JACoW-IPAC2022-WEPOST013
UR  - https://jacow.org/ipac2022/papers/wepost013.pdf
ER  -