4.3 Article

Surrogate modeling of the CLIC final-focus system using artificial neural networks

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

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available