Speaker
Michael Kaemingk
(Los Alamos National Laboratory)
Description
Important RF cell parameters such as the shunt impedance ๐ ๐ , the quality factor ๐, and the ratio of accelerating to peak field, depend on the cell geometry. Thus, it is desirable to optimize the cell profile to optimize the performance of the cell. The use of B-splines to optimize cell profiles with a genetic algorithm has been demonstrated. The RF field solver Superfish, however, does not support defining cell geometries using B-splines. Here we discuss a similar approach using only linear and elliptical segments supported by Superfish to define the cell geometry, making it possible to carry out genetic optimizations with Superfish.
| Paper status | Resubmitted proceeding files received and assigned to an editor. Accepted by Submitter. |
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Author
Michael Kaemingk
(Los Alamos National Laboratory)
Co-authors
Dr
Benjamin Sims
(Los Alamos National Laboratory)
Haoran Xu
(Los Alamos National Laboratory)
Dr
John Lewellen
(Los Alamos National Laboratory)
Kevin Shipman
(Los Alamos National Laboratory)
Leanne Duffy
(Los Alamos National Laboratory)
Dr
Petr M. Anisimov
(Los Alamos National Laboratory)