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| THP065 |
Multi-Objective FEL Design Optimisation Using Genetic Algorithms |
FEL, simulation, brightness, electron |
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- D.J. Dunning, H.M. Castañeda Cortés, J.K. Jones, N. Thompson
STFC/DL/ASTeC, Daresbury, Warrington, Cheshire, United Kingdom
- J.K. Jones, N. Thompson
Cockcroft Institute, Warrington, Cheshire, United Kingdom
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Simulation studies were carried out to optimise the performance of various FEL designs, with examples including longitudinal current profile shaping for a seeded FEL, and selection of the chicane delays for the High-Brightness SASE technique. In these examples multi-objective genetic algorithms were applied to a single section of the overall facility simulation, i.e. the undulator, as is the common approach. Further studies are also reported in which a full start-to-end simulation chain was optimised, with the aim of delivering a more holistic facility design optimisation.
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-FEL2019-THP065
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| About • |
paper received ※ 20 August 2019 paper accepted ※ 25 August 2019 issue date ※ 05 November 2019 |
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