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RIS citation export for TUPOST056: Multi-Objective Bayesian Optimization at SLAC MeV-UED

TY  - CONF
AU  - Ji, F.
AU  - Edelen, A.L.
AU  - England, R.J.
AU  - Kramer, P.L.
AU  - Luo, D.
AU  - Mayes, C.E.
AU  - Minitti, M.P.
AU  - Miskovich, S.A.
AU  - Mo, M.
AU  - Reid, A.H.
AU  - Roussel, R.J.
AU  - Shen, X.
AU  - Wang, X.J.
AU  - Weathersby, S.P.
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  - Multi-Objective Bayesian Optimization at SLAC MeV-UED
J2  - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022
CY  - Bangkok, Thailand
T2  - International Particle Accelerator Conference
T3  - 13
LA  - english
AB  - SLAC MeV-UED, part of the LCLS user facility, is a powerful ’electron camera’ for the study of ultrafast molecular structural dynamics and the coupling of electronic and atomic motions in a variety of material and chemical systems. The growing demand of scientific applications calls for rapid switching between different beamline configurations for delivering electron beams meeting specific user run requirements, necessitating fast online tuning strategies to reduce set up time. Here, we utilize multi-objective Bayesian optimization(MOBO) for fast searching the parameter space efficiently in a serialized manner, and mapping out the Pareto Front which gives the trade-offs between key beam parameters, i.e., spot size, q-resolution, pulse length, pulse charge, etc. Algorithm, model deployment and first test results will be presented.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 995
EP  - 998
KW  - electron
KW  - gun
KW  - controls
KW  - detector
KW  - timing
DA  - 2022/07
PY  - 2022
SN  - 2673-5490
SN  - 978-3-95450-227-1
DO  - doi:10.18429/JACoW-IPAC2022-TUPOST056
UR  - https://jacow.org/ipac2022/papers/tupost056.pdf
ER  -