Paper | Title | Page |
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TUPVA140 | Space charge effects of catch-up collision in a CW double-pass proton linac | 2429 |
SUSPSIK044 | use link to see paper's listing under its alternate paper code | |
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Recirculating superconducting proton linac has an advantage to reduce the number of cavities and the resulting accelerator construction/operation costs. Beam dynamics simulations were done recently in a double pass recirculating proton linac using a single bunch. For continuous wave (CW) operation, the high energy proton beam bunch during the second pass will catch up and collide with the low energy proton bunch at a number of locations inside the superconducting linac. In this paper, we report on the study of the space-charge effects during a collision on both beams through the rest of the linac. | ||
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-TUPVA140 | |
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WEPIK047 | Frequency Choice Studies of eRHIC Crab Cavity | 3028 |
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Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy. Crab crossing scheme is essential collision scheme to achieve high luminosity for the future electron-ion collider (EIC). Since the ion beam is long when cooling is not present, the nonlinear dependence of the crabbing kick may present a challenge to the beam dynamics of the ion beam, hence a impact to the luminosity lifetime. In this paper, we present the initial result of the weak-strong and strong-strong beam-beam tracking with the crab crossing scheme. The result provides beam dynamics guidance in choosing the proper frequency the crab cavity for the future EIC. |
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DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-WEPIK047 | |
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THPAB027 | Symplectic Multi-Particle Tracking Using Cuda | 3756 |
SUSPSIK066 | use link to see paper's listing under its alternate paper code | |
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Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and the Ministry of Science and Technology of China under Grant No.2014CB845501. The symplectic tracking model can preserve phase space structure and reduce non-physical effects in long term simulation. Though this model is computationally expensive, it is very suitable for parallelization and can be accelerated significantly by using Graphic Processing Units (GPUs). Using a single GPU, the code achieves a speedup of more than 400 compared with the time on a single CPU core. It also shows good scalability on a GPU cluster at Oak Ridge Leadership Computing Facility. In this paper, we report on the GPU code implement, the performance test on both single-GPU and multi-GPU cluster, and an application of beam dynamics simulation. |
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DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-THPAB027 | |
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