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Long-Term Simulations of Beam-Beam Dynamics on GPUs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Terzic, Balsa Arumugam, Karthik Majeti, Ravindra Cotnoir, Christopher M. Stefani, Maurizio Ranjan, Desh Morozov, Vitali Zhang, Haiyu Lin, Feng Roblin, Y. R. Nissen, Edwin Satogata, Todd |
| Copyright Year | 2018 |
| Abstract | Future machines such as the electron-ion colliders (JLEIC), linac-ring machines (eRHIC) or LHeC are particularly sensitive to beam-beam effects. This is the limiting factor for long-term stability and high luminosity reach. The complexity of the non-linear dynamics makes it challenging to perform such simulations which require millions of turns. Until recently, most of the methods used linear approximations and/or tracking for a limited number of turns. We have developed a framework which exploits a massively parallel Graphical Processing Units (GPU) architecture to allow for tracking millions of turns in a symplectic way up to an arbitrary order and colliding them at each turn. The code is called GHOST for GPU-accelerated High-Order Symplectic Tracking. As of now, there is no other code in existence that can accurately model the single-particle non-linear dynamics and the beam-beam effect at the same time for a large enough number of turns required to verify the long-term stability of a collider. Our approach relies on a matrix-based, arbitrary-order, symplectic particle tracking for beam transport and the Bassetti-Erskine approximation for the beam-beam interaction. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://digitalcommons.odu.edu/cgi/viewcontent.cgi?article=1084&context=physics_fac_pubs |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Approximation Computer simulation Dynamical system Electron Graphics processing unit Ions Nonlinear system Radiotherapy Systems, Linear Accelerator Symplectic integrator non-T, non-B childhood acute lymphoblastic leukemia non-T, non-B, cALLa negative childhood acute lymphoblastic leukemia |
| Content Type | Text |
| Resource Type | Article |
