GPU-accelerated simulation of longitudinal single-bunch instability in electron storage rings

Longitudinal single-bunch instability driven by high-frequency impedance is a major challenge for achieving optimal performance in fourth-generation synchrotron light sources and future electron-positron colliders. Accurate simulations of this instability are critical, yet computationally intensive, often requiring millions of macro-particles and fine slicing to resolve bunch density distributions. To address this, we have developed a GPU-accelerated tracking code that enables efficient simulations of longitudinal single-bunch instability. Our solution is specifically designed to run on a desktop computer equipped with a high-performance GPU, providing an accessible and cost-effective alternative to computing clusters.

Authors

Publication Details

Journal
JACOW
Published
2026-03-17
DOI
https://doi.org/10.18429/jacow-sap2025-thp05
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
Field-Weighted Citation Impact
0.00
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article

GPU-accelerated simulation of longitudinal single-bunch instability in electron storage rings

Tianlong He, Zhenghe Bai, Weimin Li, Weiwei Li
JACOW
Particle Accelerators and Free-Electron Lasers
article

GPU-accelerated simulation of longitudinal single-bunch instability in electron storage rings

Tianlong He, Zhenghe Bai, Weimin Li, Weiwei Li
article en

Abstract

Longitudinal single-bunch instability driven by high-frequency impedance is a major challenge for achieving optimal performance in fourth-generation synchrotron light sources and future electron-positron colliders. Accurate simulations of this instability are critical, yet computationally intensive, often requiring millions of macro-particles and fine slicing to resolve bunch density distributions. To address this, we have developed a GPU-accelerated tracking code that enables efficient simulations of longitudinal single-bunch instability. Our solution is specifically designed to run on a desktop computer equipped with a high-performance GPU, providing an accessible and cost-effective alternative to computing clusters.

JACOW
Openalex Percentile: Top 18%
Particle Accelerators and Free-Electron Lasers
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