Journal
JOURNAL OF INSTRUMENTATION
Volume 16, Issue 5, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1748-0221/16/05/P05012
Keywords
Accelerator modelling and simulations (multi-particle dynamics; single-particle dy-namics); Beam dynamics
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The study utilized artificial neural networks to create a surrogate model for a subset of the Compact Linear Collider (CLIC) final-focus system. By training on simulation data, the model mapped sextupole offsets to luminosity and beam sizes, replacing computationally intensive tracking and beam-beam simulations for parameter optimization.
Artificial neural networks can be used for creating surrogate models that can replace computationally expensive simulations. In this paper, a surrogate model was created for a subset of the Compact Linear Collider (CLIC) final-focus system. By training on simulation data, we created a model that maps sextupole offsets to luminosity and beam sizes, thus replacing computationally intensive tracking and beam-beam simulations. This model was then used for optimizing the parameters of a random walk procedure for sextupole alignment.
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