Simultaneous computation of intrabunch and interbunch collective beam motions in storage rings

Skripka, Galina; Nagaoka, R.; Klein, M.; Cullinan, F. J.; Tavares, Pedro Fernandes

doi:10.1016/j.nima.2015.10.029

Cited by 20 publications

(16 citation statements)

References 11 publications

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“…where coefficients D and σ correspond to the synchrotron radiation damping time and bunch energy spread, while δ rand , x rand and x rand are random numbers from normal distribution with unit standard deviation [7]. The application launches one CUDA kernel that performs these transformations for every bunch.…”

Section: The Basic Single-particle Transformationsmentioning

confidence: 99%

“…The simulations in mbtrack can include resistive-wall effects, arbitrary number of resonators, and purely resistive and inductive components, all contributing to the total wake [7]. The macroparticles in each bunch are grouped into cells (bins) depending on their longitudinal position.…”

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

“…where V (τ j ) is the wake voltage induced by this bunch at bin τ j , W ⊥ is the transverse wake function, q j,k is the total charge in the bins j and k, and D p (τ k ) is the dipole-moment of the bunch at position τ k . Detailed information about how V (τ j ) and W ⊥ are calculated can be found in [7].…”

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

“…After the wake potentials have been applied to the macro-particles, the long-range resistive-wall effects are calculated and applied to the transverse planes as described in [7]. Since long-range resistive-wall effects require statistics information about previous bunches, these calculations are launched only when wake potential effects are calculated for all the bunches and the statistics have been updated.…”

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

“…The mbtrack code [7] is a multi-bunch macro-particle tracking code which can be used to study both single-bunch and coupled-bunch instabilities in electron storage rings. It has been used in different synchrotron light sources, such as, SOLEIL [8], MAX IV [7,9], etc. The Message Passing Interface (MPI) is implemented in mbtrack for acceleration of the multi-bunch tracking.…”

Section: Introductionmentioning

confidence: 99%

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Calculation of longitudinal collective instabilities with mbtrack-cuda

Locans

Adelmann

et al. 2019

Nuclear Instruments and Methods in Physics Research Section A:

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Macro-particle tracking is a prominent method to study the collective beam instabilities in accelerators. However, the heavy computation load often limits the capability of the tracking codes. One widely used macro-particle tracking code to simulate collective instabilities in storage rings is mbtrack. The Message Passing Interface (MPI) is already implemented in the original mbtrack to accelerate the simulations. However, many CPU threads are requested in mbtrack for the analysis of the coupled-bunch instabilities. Therefore, computer clusters or desktops with many CPU cores are needed. Since these are not always available, we employ as alternative a Graphics Processing Unit (GPU) with CUDA programming interface to run such simulations in a stand-alone workstation. All the heavy computations have been moved to the GPU. The benchmarks confirm that mbtrackcuda can be used to analyze coupled bunch instabilities up to at least 484 bunches. Compared to mbtrack on an 8-core CPU, 36-core CPU and a cluster, mbtrack-cuda is faster for simulations of up to 3 bunches. For 363 bunches, mbtrack-cuda needs about six times the execution time of the cluster and twice of the 36-core CPU. The multi-bunch instability analysis shows that the length of the ion-cleaning gap has no big influence, at least at filling to 3 ⁄4.1 Haisheng.Xu@ihep.ac.cn, the author is presently in the Institute

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Section: The Basic Single-particle Transformationsmentioning

confidence: 99%

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

Section: Treatment Of the Bunch-wake Interactionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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