2019
DOI: 10.1016/j.nima.2018.12.066
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Multi-objective shape optimization of radio frequency cavities using an evolutionary algorithm

Abstract: Radio frequency (RF) cavities are commonly used to accelerate charged particle beams. The shape of the RF cavity determines the resonant electromagnetic fields and frequencies, which need to satisfy a variety of requirements for a stable and efficient acceleration of the beam. For example, the accelerating frequency has to match a given target frequency, the shunt impedance usually has to be maximized, and the interaction of higher order modes with the beam minimized. In this paper we formulate such problems a… Show more

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Cited by 14 publications
(6 citation statements)
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References 30 publications
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“…Design optimizations were performed using an evolutionary MOA [57] and genetic algorithms, especially those of [29]. Genetic algorithms are the most widely methods in the field of particle accelerator design [11,12,35,36,38,43,62,66] and are commonly used at SLAC. In targeting commissioning goals for LCLS-II, ongoing optimizations have been performed in a piecewise fashion to reduce the number of free parameters.…”
Section: Particle Accelerator Design Optimization With Vtmopmentioning
confidence: 99%
“…Design optimizations were performed using an evolutionary MOA [57] and genetic algorithms, especially those of [29]. Genetic algorithms are the most widely methods in the field of particle accelerator design [11,12,35,36,38,43,62,66] and are commonly used at SLAC. In targeting commissioning goals for LCLS-II, ongoing optimizations have been performed in a piecewise fashion to reduce the number of free parameters.…”
Section: Particle Accelerator Design Optimization With Vtmopmentioning
confidence: 99%
“…The implementation of the optimization algorithm from the previous section is based on a combination of a massively parallel implementation of an EA [31,32], written in C++ and parallelized using MPI, with the axisymmetric Maxwell eigensolver [43]. For a point d, a mesh of half of the cross section of the corresponding cavity is created using the Gmsh [44] C++ API, and the resulting GEVPs are solved using the symmetric Jacobi-Davidson algorithm [45].…”
Section: A Implementation and Timingsmentioning
confidence: 99%
“…The idea of implementing GA into RF cavity geometry design was first proposed in 90s [16] but without much follow-up for almost two decades. In recent years, with the advance of both GA algorithms and computation capability, as well as the ever-increasing demand on the cavity performance, more efforts have been invested into this approach [17,18,19]. In the conventional design method, the designer starts with an overall cavity shape and defines the geometric variables.…”
Section: Rf Cavity Design Based On Mogamentioning
confidence: 99%