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Computational science research in support of
petascale electromagnetic modeling
L Leel, V Akcelik1, L Gel, S Chen1, G Schussman1, A Candell, Z Lil,
L Xiaol, A Kabell, R Uplenchwar', C Ng', and K Kol
'Stanford Linear Accelerator Center, 2575 Sand Hill Road, Menlo Park, CA 94025
SciDAC CET/Institute Collaborators: E Ng, X Li, C Yang (LBNL), L Dianchin (LLNL),
K Devine, E Boman (SNL), B Osting, D Keyes (Columbia), X Luo, M Shepard (RPI), R Barrett,
S Hodson, R Kendall (ORNL), W Gropp (UIUC), Z Bai, K Ma(UCDavis)
Abstract. Computational science research components were vital parts of the SciDAC-
1 accelerator project and are continuing to play a critical role in newly-funded SciDAC-2
accelerator project, the Community Petascale Project for Accelerator Science and Simulation
(ComPASS). Recent advances and achievements in the area of computational science research
in support of petascale electromagnetic modeling for accelerator design analysis are presented,
which include shape determination of superconducting RF cavities, mesh-based multi-
level preconditioner in solving highly-indefinite linear systems, moving window using h-
or p- refinement for time-domain short-range wakefield calculations, and improved scalable
Particle accelerators, such as Spallation Neutron Source (SNS), Linac Coherent Light Source
(LCLS), Rare Isotope Accelerator, Large Hadron Collider, and proposed International Linear
Collider, are pivotal experimental facilities for discoveries in physical sciences. Electromagnetic
modeling of those existing or proposed billion-dollar class accelerator facilities often requires
petascale computing and drives the computational science research in the related areas.
Computational science research components were vital parts of the SciDAC-1 accelerator
project [1, 2, 3, 4] and continue to play a critical role in the SciDAC-2 accelerator project,
the Community Petascale Project for Accelerator Science and Simulation (ComPASS). Recent
advances and achievements in the area of computational science research in support of petascale
electromagnetic modeling for accelerator design and optimization are presented.
2. Shape Determination of Superconducting RF Cavities
Shape deviations of the real cavity from the design may significantly impact cavity response.
A shape determination tool has been developed at Stanford Linear Accelerator Center
(SLAC) to infer for the unknown shape deviations using measurable quantities such as cavity
frequencies, field distributions and external quality factor values. A nonlinear least square
optimization problem constrained by a complex Maxwell eigenvalue problem is solved in the
Contributed to Scientific Discovery through Advanced Computing Program (SciDAC) 2008 Conference,
7/13/2008-7/17/2008, Seattle, WA, USA
Work supported in part by US Department of Energy contract DE-AC02-76SF00515
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Lee, L.-Q.; Akcelik, V; Ge, L; Chen, S; Schussman, G; Candel, A et al. Computational Science Research in Support of Petascale Electromagnetic Modeling, article, June 20, 2008; [Menlo Park, California]. (digital.library.unt.edu/ark:/67531/metadc900946/m1/1/: accessed November 14, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.