Research

We use analytical and numerical methods to understand the underline physics of complex dynamics in accelerator physics.  The research topics includes:


  • Nonlinear Beam Dynamics

The nonlinear dynamics in accelerator usually limits the performance of the beam by degrading the beam quality and inducing beam loss.  The nonlinearity can raises from nonlinear magnets and beam interactions.  We use both analytical and computational methods to understand the dynamics and find the countermeasures to the harmful nonlinear effects.

The above figure is the simulated nonlinear beam distortion after the beam interacts with other beams in a future collider design.


  • Statistical Learning in Accelerator Operation

To achieve desire performance of accelerator, we need precise control of each tunable parameter of the accelerator, based on the observation with beam diagnostic tools.  As the dramatic improvement of networking and control system, gigantic amount  of data is available in accelerator operations.  We are devoting to improve the accelerator performance (stability, brightness, etc) with the statistic model and the diagnostic datas. This figure demonstrate that we use Bayesian inference to infer the parameters ,which are hard to measure directly, using the diagnostic data and accelerator model.