Optimized Wakefield computations using a network model
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Description
During the course of the last decade, traveling wave accelerating structures for a future Linear Collider have been the object of intense R and D efforts. An important problem is the efficient computation of the long range wakefield with the ability to include small alignment and tuning errors. To that end, SLAC has developed an RF circuit model with a demonstrated ability to reproduce experimentally measured wakefields. The wakefield computation involves the repeated solution of a deterministic system of equations over a range of frequencies. By taking maximum advantage of the sparsity of the equations, they have achieved significant performance …
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Fermi National Accelerator Lab., Batavia, IL (United States)
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Batavia, Illinois
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Description
During the course of the last decade, traveling wave accelerating structures for a future Linear Collider have been the object of intense R and D efforts. An important problem is the efficient computation of the long range wakefield with the ability to include small alignment and tuning errors. To that end, SLAC has developed an RF circuit model with a demonstrated ability to reproduce experimentally measured wakefields. The wakefield computation involves the repeated solution of a deterministic system of equations over a range of frequencies. By taking maximum advantage of the sparsity of the equations, they have achieved significant performance improvements. These improvements make it practical to consider simulations involving an entire linac ({approximately} 10{sup 3} structures). One might also contemplate assessing, in real time, the impact of fabrication errors on the wakefield as an integral part of quality control.
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Ng, J.-F. Ostiguy and K.-Y.Optimized Wakefield computations using a network model,
article,
September 14, 2000;
Batavia, Illinois.
(https://digital.library.unt.edu/ark:/67531/metadc720837/:
accessed April 19, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.