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Surrogate Modeling of the CLIC Final-Focus System using Artificial Neural Networks

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 نشر من قبل Jim Ogren
 تاريخ النشر 2020
  مجال البحث فيزياء
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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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