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| TUC1C2 |
The Impact of High-Dimensional Phase Space Correlations on the Beam Dynamics in a Linear Accelerator |
68 |
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- A.M. Hoover, A.V. Aleksandrov, S.M. Cousineau, K.J. Ruisard, A.P. Shishlo, A.P. Zhukov
ORNL, Oak Ridge, TN, USA
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Hadron beams develop intensity-dependent transverse-longitudinal correlations within radio-frequency quadrupole (RFQ) accelerating structures. These correlations are only visible in six-dimensional phase space and are destroyed by reconstructions from low-dimensional projections. In this work, we estimate the effect of artificial decorrelation on the beam dynamics in the Spallation Neutron Source (SNS) linac and Beam Test Facility (BTF). We show that the evolution of a realistic initial distribution and its decorrelated twin converge during the early acceleration stages; thus, low-dimensional projections are probably sufficient for detailed predictions in high-power linacs.
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Slides TUC1C2 [6.573 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-HB2023-TUC1C2
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| About • |
Received ※ 01 October 2023 — Revised ※ 06 October 2023 — Accepted ※ 11 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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