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SciDAC Advances and Applications in Computational Beam Dynamics
- Ryne, R.;
- Abell, D.;
- Adelmann, A.;
- Amundson, J.;
- Bohn, C.;
- Cary, J.;
- Colella, P.;
- Dechow, D.;
- Decyk, V.;
- Dragt, A.;
- Gerber, R.;
- Habib, S.;
- Higdon, D.;
- Katsouleas, T.;
- Ma, K.-L.;
- McCorquodale, P.;
- Mihalcea, D.;
- Mitchell, C.;
- Mori, W.;
- Mottershead, C.T.;
- Neri, F.;
- Pogorelov, I.;
- Qiang, J.;
- Samulyak, R.;
- Serafini, D.;
- Shalf, J.;
- Siegerist, C.;
- Spentzouris, P.;
- Stoltz, P.;
- Terzic, B.;
- Venturini, M.;
- Walstrom, P.
- et al.
Abstract
SciDAC has had a major impact on computational beam dynamics and the design of particle accelerators. Particle accelerators -- which account for half of the facilities in the DOE Office of Science Facilities for the Future of Science 20 Year Outlook -- are crucial for US scientific, industrial, and economic competitiveness. Thanks to SciDAC, accelerator design calculations that were once thought impossible are now carried routinely, and new challenging and important calculations are within reach. SciDAC accelerator modeling codes are being used to get the most science out of existing facilities, to produce optimal designs for future facilities, and to explore advanced accelerator concepts that may hold the key to qualitatively new ways of accelerating charged particle beams. In this poster we present highlights from the SciDAC Accelerator Science and Technology (AST) project Beam Dynamics focus area in regard to algorithm development, software development, and applications.
Main Content
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