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Genetic optimisation of beamline design for DIAMOND

DOI: 10.18429/JACoW-IPAC2019-THPGW071 DOI Help

Authors: F. Bakkali Taheri (Diamond Light Source) , M. Apollonio (Diamond Light Source) , R. Bartolini (Diamond Light Source; JAI; Oxford University) , B. Singh (Diamond Light Source)
Co-authored by industrial partner: No

Type: Conference Paper
Conference: IPAC2019
Peer Reviewed: No

State: Published (Approved)
Published: June 2019

Open Access Open Access

Abstract: The problem of optimisation of beamline structures is studied, from the point of view of multi-objective genetic algorithms. While this approach has been successfully used in the exploration of potential particle accelerator lattices, it has never been applied to beamline design. In this paper, the Non-Dominated Sorting Genetic Algorithm II (NGSA II) is used to optimize a structure where photons are assumed to propagate through the optical elements according to the wavefront model as implemented in SRW. It is shown that appropriate objective functions can help to set up an interesting set of parameters, with competitive computational resources compared to the traditional approach. Examples illustrating this optimization method are shown in the context of DIAMOND.

Subject Areas: Technique Development

Technical Areas: Accelerator Physics