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https://doi.org/10.18429/JACoW-IPAC2019-THPRB001
Title Applications of Online Optimization Algorithms for Injection at the Australian Synchrotron
Authors
  • R. Auchettl, R.T. Dowd
    AS - ANSTO, Clayton, Australia
Abstract 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* 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**, 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 loss along the Booster-to-Storage ring (BTS) Transfer line and Storage Ring and compare against the LOCO method.
Footnotes & References * R. Dowd et al. (2011), Phys. Rev. ST: AB, 14, 012804.
** X. Huang et al. (2013), Nucl. Instr. Meth. A., vol. 726, pp. 77-83.
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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 08 April 2019
Accepted 21 May 2019
Issue Date 21 June 2019
DOI doi:10.18429/JACoW-IPAC2019-THPRB001
Pages 3795-3798
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.