Speaker
David Sagan
(Cornell University (CLASSE))
Description
In this paper, we present the benchmark results of Bmad space charge tracking on the Electron-Ion Collider cooler injector lattice. Bmad, GPT, and Impact-T are compared in terms of accuracy and performance. We highlight the importance of space charge algorithm and demonstrate that the adaptive step size control improves the performance of Bmad space charge tracking.
Funding Agency
This project was supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy.
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Primary author
Ningdong Wang
(Cornell University)
Co-authors
Christopher Mayes
(SLAC National Accelerator Laboratory)
Colwyn Gulliford
(Xelera Research LLC)
David Sagan
(Cornell University (CLASSE))
Georg Hoffstaetter
(Cornell University (CLASSE))
