1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

Data driven methods to recognize patterns in EIC weak-strong simulation

WEPM019
4 Jun 2025, 16:00
2h
Exhibiton Hall A _Magpie (TWTC)

Exhibiton Hall A _Magpie

TWTC

Poster Presentation MC5.D10 Beam-Beam Effects Theory, Simulations, Measurements, Code Developments Wednesday Poster Session

Speaker

William Fung (Facility for Rare Isotope Beams)

Description

Beam-Beam simulations are currently being studied in preparation for future EIC experiments to study beam-beam effects and, in turn, maximize luminosity. Weak-strong methods are studied for single-particle dynamics during collision. 1 million macro-particles for 1 million turns are typically tracked, corresponding to only 10 seconds in the EIC. The goal of this study is to predict beam properties over the scale of hours. A potential solution focuses on using data-driven methods such as machine learning methods to analyze and extend the insights of the beam properties such as long-term nonlinear effects. This would aid in long-term predictions where results would be more efficiently acquired than a typical tracking simulation. Some limitations such as inaccurate predictions and spatial complexity are also discussed. These methods can then be applied to strong-strong simulations in the future studies.

Region represented America
Paper preparation format LaTeX

Author

William Fung (Facility for Rare Isotope Beams)

Co-authors

Derong Xu (Brookhaven National Laboratory) Yue Hao (Facility for Rare Isotope Beams)

Presentation materials

There are no materials yet.