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https://doi.org/10.18429/JACoW-IPAC2019-THPGW071
Title Genetic Optimisation of Beamline Design for DIAMOND
Authors
  • F. Bakkali Taheri, M. Apollonio, R. Bartolini, B. Singhpresenter
    DLS, Oxfordshire, United Kingdom
  • R. Bartolini, J. Li
    JAI, Oxford, United Kingdom
  • R. Bartolini
    Oxford University, Physics Department, Oxford, Oxon, United Kingdom
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.
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Conference IPAC2019
Series International Particle Accelerator Conference (10th)
Location Melbourne, Australia
Date 19-24 May 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Mark Boland (UoM, Saskatoon, SK, Canada); Hitoshi Tanaka (KEK, Tsukuba, Japan); David Button (ANSTO, Kirrawee, NSW, Australia); Rohan Dowd (ANSTO, Kirrawee, NSW, Australia); Volker RW Schaa (GSI, Darmstadt, Germany); Eugene Tan (ANSTO, Kirrawee, NSW, Australia)
Online ISBN 978-3-95450-208-0
Received 13 May 2019
Accepted 18 May 2019
Issue Date 21 June 2019
DOI doi:10.18429/JACoW-IPAC2019-THPGW071
Pages 3753-3756
Copyright
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.