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Title |
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| TUC2C1 |
Beam Physics Simulation Studies of 70 Mev ISIS Injector Linac |
97 |
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- S.A. Ahmadiannamin, H.V. Cavanagh, S.R. Lawrie, A.P. Letchford
STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
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The ISIS neutron spallation source is a pioneering research infrastructure in the field of high intensity accelerator physics, catering to scientific users. Comprising a 70 MeV injector linac and an 800 MeV Rapid cycling synchrotron with two beam targets, this facility has witnessed significant upgrades in recent years, leading to enhanced transmission efficiency. Further optimization efforts are underway to ensure continuous improvement. This article focuses on beam physics simulation studies conducted on the current ISIS linac, aiming to gain a deeper understanding and analysis of various phenomena observed during routine operations and accelerator physics experimentation. By examining these phenomena, valuable insights can be obtained to inform the future development of high efficiency injector of ISIS-II.
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Slides TUC2C1 [6.467 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-HB2023-TUC2C1
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| About • |
Received ※ 01 October 2023 — Revised ※ 06 October 2023 — Accepted ※ 10 October 2023 — Issued ※ 13 October 2023 |
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| TUC2C2 |
Evaluating PyORBIT as Unified Simulation Tool for Beam-Dynamics Modeling of the ESS Linac |
102 |
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- J.F. Esteban Müller, Y. Levinsen, N. Milas, C.Z. Zlatanov
ESS, Lund, Sweden
- A.P. Shishlo, A.P. Zhukov
ORNL, Oak Ridge, Tennessee, USA
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The design of the ESS proton linac was supported by the simulation code TraceWin, a closed-source commercial software for accurate multiparticle simulations. Conversely, the high-level physics applications used for beam commissioning and machine tuning rely on the Open XAL framework and its online model for fast envelope simulations. In this paper, we evaluate PyORBIT for both online modeling of the linac for machine commissioning and tuning as well as for more accurate offline simulations for beam-dynamics studies. We present the modifications done to the code to adapt it to this use case, namely porting the code to Python 3, adding an envelope tracker, and integrating with the EPICS control systems. Finally, we show the results of benchmarking PyORBIT against our current modeling tools.
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Slides TUC2C2 [0.886 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-HB2023-TUC2C2
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| About • |
Received ※ 08 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 11 October 2023 — Issued ※ 14 October 2023 |
| Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
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