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RIS citation export for THPOPT008: Beam Orbit Shift Due to BPM Thermal Deformation Using Machine Learning

TY  - CONF
AU  - Chen, K.M.
AU  - Guo, L.
AU  - Hosaka, M.
AU  - Wang, F.Y.
AU  - Wang, G.
AU  - Wang, Z.
AU  - Xu, W.
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  - Beam Orbit Shift Due to BPM Thermal Deformation Using Machine Learning
J2  - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022
CY  - Bangkok, Thailand
T2  - International Particle Accelerator Conference
T3  - 13
LA  - english
AB  - Stabilizing beam orbit is critical for advanced synchrotron radiation light sources. The beam orbit can be affected by many sources. To maintain a good orbit stability, global orbit feedback systems (OFB) has been widely used. However, the BPM thermal deformation would lead to BPM misreading, which can not be handled by OFB. Usually, extra diagnostics, such as position transducers, is needed to measure the deformation dependency of BPM readings. Here, an alternative approach by using the machine operation historic data, including BPM temperature, insertion device (ID) gaps and corrector currents, is presented. It is demonstrated at Hefei Light Source (HLS). The average orbit shift due to BPM thermal deformation is about 34.5 microns/degree Celsius (horizontal) and 20.0 microns/degree Celsius (vertical).
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 2577
EP  - 2579
KW  - network
KW  - storage-ring
KW  - synchrotron
KW  - vacuum
KW  - feedback
DA  - 2022/07
PY  - 2022
SN  - 2673-5490
SN  - 978-3-95450-227-1
DO  - doi:10.18429/JACoW-IPAC2022-THPOPT008
UR  - https://jacow.org/ipac2022/papers/thpopt008.pdf
ER  -