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Ellison, J. A.

Paper Title Page
TUOBG04 A Vlasov-Maxwell Solver to Study Microbunching Instability in the FERMI@ELETTRA First Bunch Compressor System 971
 
  • G. Bassi
    Liverpool University, Science Faculty, Liverpool
  • G. Bassi
    Cockcroft Institute, Warrington, Cheshire
  • J. A. Ellison, K. A. Heinemann
    UNM, Albuquerque, New Mexico
 
  Microbunching can cause an instability which degrades beam quality. This is a major concern for free electron lasers where very bright electron beams are required. A basic theoretical framework for understanding this instability is the 3D Vlasov-Maxwell system. However, the numerical integration of this system is computationally too intensive at the moment. As a result, investigations to date have been done using very simplified analytical models or numerical solvers based on simple 1D models. We have developed an accurate and reliable 2D Vlasov-Maxwell solver which we believe improves existing codes. Our solver has been successfully tested against the Zeuthen benchmark bunch compressors*. In the present contribution we apply our self-consistent, parallel solver to study the microbunching instability in the first bunch compressor system of FERMI@ELETTRA. This system was proposed as a benchmark for testing codes at the September'07 workshop on microbunching instability in Trieste**.

*PAC2007, papers TUZBC03 and THPAN084.
**https://www.elettra.trieste.it/FERMI/index.php?n=Main. MicrobProgram

 
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TUPP109 Meshless Solution of the Vlasov Equation Using a Low-discrepancy Sequence 1776
 
  • R. L. Warnock
    SLAC, Menlo Park, California
  • J. A. Ellison, K. A. Heinemann, G. Q. Zhang
    UNM, Albuquerque, New Mexico
 
  A successful method for solving the nonlinear Vlasov equation is the semi-Lagrangian method, in which the phase space density is represented by its values on a fixed Cartesian grid with interpolation to off-grid points. Integration for a time step consists of following orbits backward in time from initial conditions on the grid, with the collective force frozen during the time step. We ask whether it would be more efficient to use scattered data sites rather than grid points, namely sites from a low-discrepancy sequence as used in quasi - Monte Carlo integration. This requires a technique for interpolation of scattered data, and with such a technique in hand one can try either backward or forward orbits. Here we explore the forward choice, with the data sites themselves following forward orbits. We treat a problem well studied by the backward method, longitudinal motion in the SLAC damping rings. Over one or two synchrotron periods results are encouraging, in that the number of data sites can be reduced by a large factor. Over longer times it appears that the sites must be redistributed or changed in number from time to time, because of clustering.