Creation and Implementation of Computational Tools for Modeling and Optimization in Support of Developing a Cost Effective and Compact RF Linear Accelerator

POSTER

Abstract

Ion beams are widely used for discovery science and in industrial applications. At LBNL we are developing a compact multi-beam RF linear accelerator constructed using printed circuit board (PCB) wafers. Recent experiment has shown that a beam of Argon ions (Ar+) can be accelerated from 7 keV to 70 keV producing a 0.5 mA beam using 120 beamlets. To scale up to greater energies and currents a suite of computational tools are being developed to guide construction. These tools are created using Python in combination with a particle-in-cell (PIC) code Warp that is Python compatible. Here I will discuss the development and implementation of the computational tools that are being used for design and optimization in various accelerator characteristics such as transverse and longitudinal transport, and system geometries (gap spacing, electrostatic quadrupole ESQ shaping, etc.).

*This work was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and Cooperative Agreement Award No. DE-SC0018362, and by Michigan State University, as well as, under the auspices of the U.S. DOE under contract DE-AC02-05CH11231.

Presenters

  • Nicholas Valverde

    • Michigan State University

Authors

  • Nicholas Valverde

    • Michigan State University
  • Qing Ji

    • Lawrence Berkeley National Laboratory
  • Arun Persaud

    • Lawrence Berkeley National Laboratory
  • Steven M Lund

    • Michigan State University