Applications of online optimization algorithms for injection at the Australian Synchrotron
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Date
2019-05-19
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JACoW Publishing
Abstract
Accelerators 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.
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Keywords
Algorithms, ANSTO, Accelerator experimental facilities, Optimization, Optics, Beam dynamics, Storage rings, Synchrotrons
Citation
Auchettl, 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.pdf