JaCoW Logo

Reference Search

Author: T. Zhang


References



Reference
H. X. Deng et al., “Status of Polarization Control Experiment at Shanghai Deep Ultraviolet Free Electron Laser”, in Proc. 34th Int. Free Electron Laser Conf. (FEL'12), Nara, Japan, Aug. 2012, paper TUPD10, pp. 245-248.
J. Chen et al., “Commissioning Results and Progress of a Helium Injector for Coupled RFQ and SFRFQ Project at Peking University”, in Proc. 4th Int. Particle Accelerator Conf. (IPAC'13), Shanghai, China, May 2013, paper MOPFI033, pp. 357-359.
J. F. Zhang et al., “A Particle-in-Cell/Monte-Carlo-Collision Code for the Simulation of Stepwise Ionization of Lithium in 2.45 GHz ECR Ion Source”, in Proc. 23th International Workshop on ECR Ion Sources (ECRIS'18), Catania, Italy, Sep. 2018, pp. 148-151.
J. Wang et al., “Research on Low Secondary Electron Yield Materials for Future Accelerators”, in Proc. 7th Int. Particle Accelerator Conf. (IPAC'16), Busan, Korea, May 2016, pp. 3284-3286.
J. Wang et al., “The Effect of Magnetic Field on the Secondary Electron Yield in the Ultra-High Vacuum Environment”, in Proc. 7th Int. Particle Accelerator Conf. (IPAC'16), Busan, Korea, May 2016, pp. 3281-3283.
J. Wei et al., “FRIB Commissioning and Early Operations”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 802-807.
J. Wei et al., “FRIB Transition to User Operations, Power Ramp Up, and Upgrade Perspectives”, presented at the 21th Int. Conf. RF Superconductivity (SRF'23), Grand Rapids, MI, USA, Jun. 2023, paper MOIAA01, unpublished.
J. Zhao et al., “Design of a Non-Intercepting Beam Diagnostic Device Using Neutral Beam Fluorescence Method”, in Proc. 4th Int. Particle Accelerator Conf. (IPAC'13), Shanghai, China, May 2013, paper MOPME035, pp. 547-549.
K. Fukushima et al., “Simulation Code Design for the Interpreted Language Using the Compiled Module”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 3327-3329.
K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 983-986.


Back to the list