Applications of online optimization algorithms for injection at the Australian Synchrotron

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dc.contributor.authorAuchettl, Ren_AU
dc.contributor.authorDowd, RTen_AU
dc.date.accessioned2023-04-28T05:08:12Zen_AU
dc.date.available2023-04-28T05:08:12Zen_AU
dc.date.issued2019-05-19en_AU
dc.date.statistics2023-04-14en_AU
dc.description.abstractAccelerators have hundreds of design parameters that makeup the design space. The optimization of complex nonlinear systems (like accelerators) is not straightforward. Trade-offs between competing nonlinear design variables means that optimizing a target objective (such as optics matching) can lack any obvious deterministic method. At the Australian Synchrotron, accelerator tuning predominantly occurs via manual optimization or traditional optimization techniques such as the Linear Optics from Closed Orbits (LOCO) algorithm. While we have had distinct success with the implementation of LOCO [1] and manual tuning, these strategies are not without their downsides. Some situations (such as the optimization of synchrotron beam dynamics) produce a design space too large and multifaceted for manual tuning while implementing LOCO can be computationally expensive. Also, without sufficient diagnostic systems, both LOCO and manual tuning do not necessarily guarantee that the optimal solution will be found. Motivated by the successful implementation of online optimization algorithms at SPEAR3 [2], this paper outlines the application of online optimization algorithms to improve the performance of the Australian Synchrotron injection system. We apply the efficient Robust Conjugate Direction Search (RCDS) Algorithm to reduce beam size in the storage ring.en_AU
dc.identifier.booktitleProceedings of the 10th International Particle Accelerator Conferenceen_AU
dc.identifier.citationAuchettl, R., & Dowd, R. T. (2019). Applications of online optimization algorithms for injection at the Australian Synchrotron. Paper presented to the 10th International Particle Accelerator Conference, Melbourne Convention & Exhibition Centre, Melbourne, Victoria, Australia, 19-24 May 2019. In Boland, M., Tanaka, H., Button, D., Dowd, R., Schaa, V. R. W., & Tan, E. (Eds.), (2019), Proceedings of the 10th International Particle Accelerator Conference. JACoW Publishing: Geneva. (pp. 3795). Retrieved from: https://accelconf.web.cern.ch/ipac2019/papers/thprb001.pdfen_AU
dc.identifier.conferenceenddate24 May 2019en_AU
dc.identifier.conferencename10th International Particle Accelerator Conferenceen_AU
dc.identifier.conferenceplaceMelbourne, Victoria, Australiaen_AU
dc.identifier.conferencestartdate19 May 2019en_AU
dc.identifier.editorsBoland, M., Tanaka, H., Button, D., Dowd, R., Schaa, V. R. W., & Tan, E.en_AU
dc.identifier.isbn978-3-95450-208-0en_AU
dc.identifier.pagination3795en_AU
dc.identifier.placeofpublicationGenevaen_AU
dc.identifier.urihttps://accelconf.web.cern.ch/ipac2019/papers/thprb001.pdfen_AU
dc.identifier.urihttps://apo.ansto.gov.au/dspace/handle/10238/14937en_AU
dc.language.isoenen_AU
dc.publisherJACoW Publishingen_AU
dc.subjectAlgorithmsen_AU
dc.subjectANSTOen_AU
dc.subjectAccelerator experimental facilitiesen_AU
dc.subjectOptimizationen_AU
dc.subjectOpticsen_AU
dc.subjectBeam dynamicsen_AU
dc.subjectStorage ringsen_AU
dc.subjectSynchrotronsen_AU
dc.titleApplications of online optimization algorithms for injection at the Australian Synchrotronen_AU
dc.typeConference Paperen_AU
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