Paper 
Title 
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TUC1C2 
The Impact of HighDimensional Phase Space Correlations on the Beam Dynamics in a Linear Accelerator 
68 

 A.M. Hoover, A.V. Aleksandrov, S.M. Cousineau, K.J. Ruisard, A.P. Shishlo, A.P. Zhukov
ORNL, Oak Ridge, TN, USA



Hadron beams develop intensitydependent transverselongitudinal correlations within radiofrequency quadrupole (RFQ) accelerating structures. These correlations are only visible in sixdimensional phase space and are destroyed by reconstructions from lowdimensional 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, lowdimensional projections are probably sufficient for detailed predictions in highpower linacs.



Slides TUC1C2 [6.573 MB]


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reference for this paper
※ doi:10.18429/JACoWHB2023TUC1C2


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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 BeamDynamics Modeling of the ESS Linac 
102 

 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



The design of the ESS proton linac was supported by the simulation code TraceWin, a closedsource commercial software for accurate multiparticle simulations. Conversely, the highlevel 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 beamdynamics 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.



Slides TUC2C2 [0.886 MB]


DOI • 
reference for this paper
※ doi:10.18429/JACoWHB2023TUC2C2


About • 
Received ※ 08 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 11 October 2023 — Issued ※ 14 October 2023 
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reference for this paper using
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