| Article | |
| Title | Benchmarking simulations of slow extraction driven by RF transverse excitation at the CERN Proton Synchrotron |
| Author(s) | Bass, Thomas (CERN) ; Johnson, Eliott (CERN) ; Fraser, Matthew (CERN) ; Arrutia Sota, Pablo Andreas (CERN) ; Gibson, Stephen (Royal Holloway, U. of London) ; Dutheil, Yann (CERN) |
| Publication | 2023 |
| Number of pages | 4 |
| In: | JACoW IPAC 2023 (2023) TUPM116 |
| In: | 14th International Particle Accelerator Conference (IPAC 2023), Venice, Italy, 7 - 12 May 2023, pp.TUPM116 |
| DOI | 10.18429/JACoW-IPAC2023-TUPM116 |
| Subject category | Accelerators and Storage Rings |
| Abstract | Resonant slow extraction is a beam extraction method which provides a continuous spill over a longer duration than can be achieved with fast single-turn or non-resonant multi-turn extraction. By using transverse excitation to drive the circulating particles onto the resonance, a beam can be delivered to stationary target experiments which require low intensity, long-duration beams.In order to accurately and efficiently simulate the extraction process over a wide range of timescales, new modelling tools and computing platforms must be explored. By utilising optimised computational hardware - such as General Purpose Graphics Processing Units (GPGPUs), and next-generation simulation software (such as Xsuite), computation times for simulations can be reduced by several orders of magnitude.This contribution presents recent developments of resonant slow extraction modelling and benchmarking with a comparison to measurements made at CERN’s Proton Synchrotron (PS), with a particular focus on understanding the dynamics of transverse RF excitation and effect on spill quality. |
| Copyright/License | CC-BY-4.0 |
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