High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics
Author | : |
Publisher | : |
Total Pages | : 10 |
Release | : 2014 |
ISBN-10 | : OCLC:930078033 |
ISBN-13 | : |
Rating | : 4/5 (33 Downloads) |
Download or read book High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics written by and published by . This book was released on 2014 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing (HPC) are essential for accurately modeling them. In the past decade, the DOE SciDAC program has produced such accelerator-modeling tools, which have beem employed to tackle some of the most difficult accelerator science problems. In this article we discuss the Synergia beam-dynamics framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation package capable of handling the entire spectrum of beam dynamics simulations. We present the design principles, key physical and numerical models in Synergia and its performance on HPC platforms. Finally, we present the results of Synergia applications for the Fermilab proton source upgrade, known as the Proton Improvement Plan (PIP).