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RIS citation export for WEPOST030: Multitask Optimization of Laser-Plasma Accelerators Using Simulation Codes with Different Fidelities

TY  - CONF
AU  - Ferran Pousa, Á.
AU  - Hudson, S.T.P.
AU  - Huebl, A.
AU  - Jalas, S.
AU  - Kirchen, M.
AU  - Larson, J.M.
AU  - Lehé, R.
AU  - Martinez de la Ossa, A.
AU  - Thévenet, M.
AU  - Vay, J.-L.
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  - Multitask Optimization of Laser-Plasma Accelerators Using Simulation Codes with Different Fidelities
J2  - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022
CY  - Bangkok, Thailand
T2  - International Particle Accelerator Conference
T3  - 13
LA  - english
AB  - When designing a laser-plasma acceleration experiment, one commonly explores the parameter space (plasma density, laser intensity, focal position, etc.) with simulations in order to find an optimal configuration that, for example, minimizes the energy spread or emittance of the accelerated beam. However, laser-plasma acceleration is typically modeled with full particle-in-cell (PIC) codes, which can be computationally expensive. Various reduced models can approximate beam behavior at a much lower computational cost. Although such models do not capture the full physics, they could still suggest promising sets of parameters to be simulated with a full PIC code and thereby speed up the overall design optimization. In this work we automate such a workflow with a Bayesian multitask algorithm, where each task has a different fidelity. This algorithm learns from past simulation results from both full PIC codes and reduced PIC codes and dynamically chooses the next parameters to be simulated. We illustrate this workflow with a proof-of-concept optimization using the Wake-T and FBPIC codes. The libEnsemble library is used to orchestrate this workflow on a modern GPU-accelerated high-performance computing system.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1761
EP  - 1764
KW  - simulation
KW  - plasma
KW  - laser
KW  - wakefield
KW  - acceleration
DA  - 2022/07
PY  - 2022
SN  - 2673-5490
SN  - 978-3-95450-227-1
DO  - doi:10.18429/JACoW-IPAC2022-WEPOST030
UR  - https://jacow.org/ipac2022/papers/wepost030.pdf
ER  -