Simulation of Beam and Laser-Driven Plasma Waves

Details Simulation of Beam and Laser-Driven Plasma Waves Simulation of Beam and Laser-Driven Plasma Waves

Apr 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aps..apr.e6004k&link_type=abstract

American Physical Society, April Meeting, Jointly Sponsored with the High Energy Astrophysics Division (HEAD) of the American As

Astronomy and Astrophysics

Astrophysics

Scientific paper

The successful comparison between recently developed 3-D simulation algorithms and current plasma wakefield accelerator experiments represents one of the most significant achievements of particle-in-cell (PIC) simulations in plasma physics. This talk will briefly describe the rationale, method and results of particle-in-cell simulation of beam and laser-driven plasma waves. Pure PIC models, by virtue of their low level of approximation (full Maxwell’s equations solved self-consistently by finite difference equations in the time domain), are the most accurate as well as the most computationally intensive approach to simulating plasma wave experiments. However, massively parallel computation and specialized features that take advantage of the nearly frozen wake that accompanies a slowly evolving beam enable much shorter computation time. Some of these features such as a moving window and a quasi-static approximation that reduce the effective plasma length followed from meters to microns will be described. Examples of state-of-the-art simulation results will be presented. The application of these codes to other areas of beam physics such as electron cloud instability models for circular accelerators will be demonstrated. Work is also directed toward integrating plasma PIC models such as OSIRIS, XOOPIC, QuickPIC, WAKE and TurboWAVE into RF accelerator models to enable end-to-end simulation of accelerators with plasma elements, including wakefield sections, plasma lenses, collimators, etc. The progress in the field is leading toward a vision of the future in which high-fidelity but reduced approximation simulations are performed in real-time in the laboratory with input parameters obtained from dynamically evolving experimental conditions.

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