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Description
The design performance of the 3.5 GeV Diamond-II low-emittance electron storage ring has been studied as a function of the linear and nonlinear lattice tuning parameters. A Multi-Objective Genetic Algorithm (MOGA) has been implemented and refined to optimise both the beam lifetime and the injection efficiency for off-axis injection. The sextupole magnets have been further split into ten families, according to their local linear optics, with each family varied independently as part of the MOGA optimisation; if necessary, the resulting chromaticity is corrected with a subset of the sextupoles to be within an operational range. In addition, the tune and the strengths of the two families of octupoles have been varied as part of the MOGA search. The simulations have been run on 5 machine error seeds, including misalignment and field strength errors, to obtain a solution which is robust against machine imperfections. The results of the optimisation are presented alongside a comparison of the baseline performance.
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