SAP2025 - the 15th Symposium on Accelerator Physics

Session

Parallel Talk Session 5

5 Sept 2025, 10:30

Urumqi, Xinjiang, China

29. The start-to-end beam dynamics simulation study and its application in the high-intensity cyclotron of CIAE (FRNC2)

Tianjian Bian (China Institute of Atomic Energy)

05/09/2025, 10:50

MC2: Beam Dynamics and EM Fields

Contributed Oral Presentation

The neutron yield of the neutron source based on the 18MeV/1mA high-intensity cyclotron developed by the China Institute of Atomic Energy (CIAE) has reached 7×10^13 n/s and has been successfully applied in high-resolution neutron imaging and Boron Neutron Capture Therapy (BNCT) experiments. Precise and quantitative start-to-end beam dynamics simulations facilitate a better understanding of the...

28. Real-time comprehensive electron beam diagnostics through machine learning in ultrafast electron diffraction system (FRMC6)

Jiapeng Li (Huazhong University of Science and Technology)

05/09/2025, 11:45

MC1: Advanced acceleration concept

Contributed Oral Presentation

Ultrafast electron diffraction (UED) is a powerful technique for observing atomic-scale structural dynamics in materials. Electron beam parameters—beam size, divergence, energy spread, and bunch length—determine spatio-temporal resolution. Traditional diagnostic methods require complex instrumentation that cannot be integrated into routine workflows, particularly for high-repetition-rate...

33. AVASX: a GPU-based high-performance beam dynamics simulation code using hybrid tracking methods for ion linear accelerators (FRNC5)

Chao Jin (Institute of Modern Physics, Chinese Academy of Sciences)

05/09/2025, 11:50

MC2: Beam Dynamics and EM Fields

Contributed Oral Presentation

In high-intensity ion accelerators, particle dynamics is significantly influenced by nonlinear collective effects, particularly the space charge effects. The Particle-in-Cell (PIC) method is widely used to study these effects, but the computational burden restricts the applications in accelerator design, failure compensation, and machine learning dataset generation. In this work, a...