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Spallation-Neutron-Source

Paper Title Other Keywords Page
TUP002 High-Dynamic-Range Current Measurements in the Medium-Energy Beta Transport Line at the Spallation Neutron Source SNS, linac, extraction, rfq 244
 
  • D. A. Bartkoski, A. V. Aleksandrov, D. E. Anderson, M. T. Crofford, C. Deibele, S. Henderson, J. C. Patterson, C. Sibley, A. Webster
    ORNL, Oak Ridge, Tennessee
  It is desired to measure the effectiveness of the LEBT (low energy beta transport) chopper system. Since this chopper is required to chop the H- beam to a 1% level, it is required therefore to accurately measure the beam during the chop. A system is developed with a high dynamic range that can both accurately measure the beam to tune the chopper system as well as provide an input to the MPS (machine protection system) to stop the beam in the event of a chopper system failure. A system description, beam based calibration, and beam measurements are included.  
 
TUP070 Comparison of Phase Scan vs Acceptance Scan for the SNS DTL linac, simulation, SNS, target 415
 
  • D.-O. Jeon
    ORNL, Oak Ridge, Tennessee
  There are two widely used techniques for setting the rf set-point of the Drift Tube Linac (DTL). The Phase Scan and the Acceptance Scan techniques were applied to the SNS DTL and were benchmarked against each other. Commissioning data indicate that both techniques produce quite consistent results and the model used is quite accurate. Both of the models are based on multiparticle tracking with space charge effects.  
 
TUP084 Drifting Beam Application for SNS Superconducting Cavity Setting SNS, controls, linac, beam-loading 454
 
  • P. Chu, Y. Zhang
    ORNL, Oak Ridge, Tennessee
  A software application for tuning superconducting linac cavity has been developed and tested at the Spallation Neutron Source (SNS). The application is based on the drifting beam method and the XAL online model. The drifting beam method and the application were proved to be consistent with other cavity tuning method during the SNS commissioning runs. Detail algorithm and data acquisition for the application will be presented.