Uncertainty Modeling and Analysis of the European X-ray Free Electron Laser Cavities Manufacturing Process
arXiv:1906.09151 · doi:10.1016/j.nima.2020.164135
Abstract
This paper reports on comprehensive efforts on uncertainty quantification and global sensitivity analysis for accelerator cavity design. As a case study object the TESLA shaped superconducting cavities, as produced for the European X-ray Free Electron Laser (EXFEL), are selected. The choice for these cavities is explained by the available measurement data that can be leveraged to substantiate the simulation model. Each step of the manufacturing chain is documented together with the involved uncertainties. Several of these steps are mimicked on the simulation side, e.g. by introducing a random eigenvalue problem. The uncertainties are then quantified numerically and in particular the sensitivities give valuable insight into the systems behavior. We also compare these findings to purely statistical studies carried out for the manufactured cavities. More advanced, adaptive, surrogate modeling techniques are adopted, which are crucial to incorporate a large number of uncertain parameters. The main contribution is the detailed comparison and fusion of measurement results for the EXFEL cavities on the one hand and simulation based uncertainty studies on the other hand. After introducing the quantities of physical interest for accelerator cavities and the Maxwell eigenvalue problem, the details on the manufacturing of the EXFEL cavities and measurements are reported. This is followed by uncertainty modeling with quantification studies.
References in corpus (8)
- The Superconducting TESLA Cavities
- Adaptive Leja sparse grid constructions for stochastic collocation and high-dimensional approximation
- Superconducting Superstructure for the TESLA Collider
- Assessing the Performance of Leja and Clenshaw-Curtis Collocation for Computational Electromagnetics with Random Input Data
- Uncertainty Quantification for Maxwell's Eigenproblem based on Isogeometric Analysis and Mode Tracking
- Isogeometric Analysis Simulation of TESLA Cavities Under Uncertainty
- Enhanced adaptive surrogate models with applications in uncertainty quantification for nanoplasmonics
- Approximation and Uncertainty Quantification of Systems with Arbitrary Parameter Distributions using Weighted Leja Interpolation