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RIS citation export for TUYBB4: Online Modelling and Optimization of Nonlinear Integrable Systems

TY  - CONF
AU  - Kuklev, N.
AU  - Kim, Y.K.
AU  - Valishev, A.
ED  - Yamazaki, Yoshishige
ED  - Raubenheimer, Tor
ED  - McCausey, Amy
ED  - Schaa, Volker RW
TI  - Online Modelling and Optimization of Nonlinear Integrable Systems
J2  - Proc. of NAPAC2019, Lansing, MI, USA, 01-06 September 2019
CY  - Lansing, MI, USA
T2  - North American Particle Accelerator Conference
T3  - 4
LA  - english
AB  - Nonlinear integrable optics was recently proposed as a design approach to increase the limits on beam brightness and intensity imposed by fast collective instabilities. To study these systems experimentally, a new research electron and proton storage ring, the Integrable Optics Test Accelerator, was constructed and recently commissioned at Fermilab. Beam-based diagnostics and online modelling of nonlinear systems presents unique challenges - in this paper, we report on our efforts to develop optimization methods suited for such lattices. We explore the effectiveness of neural networks as fast online surrogate estimators, and integrate them into a beam-based tuning algorithm. We also develop a method of knob dimensionality reduction and subsequent robust multivariate optimization for maximizing key performance metrics under complicated lattice optics constraints.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 318
EP  - 321
KW  - lattice
KW  - optics
KW  - experiment
KW  - octupole
KW  - network
DA  - 2019/10
PY  - 2019
SN  - 2673-7000
SN  - 978-3-95450-223-3
DO  - doi:10.18429/JACoW-NAPAC2019-TUYBB4
UR  - http://jacow.org/napac2019/papers/tuybb4.pdf
ER  -