Comparisons and fits of electron angular distribution approximations for elastic scattering from neutral fusion-relevant targets

ORAL

Abstract

Accurate elastic differential cross sections are essential for modeling many plasma scenarios, particularly in low temperature plasma technologies or the cooler edge regions of tokamaks. Currently, few models have reported the ability to accurately predict elastic electron scattering from neutral targets at low energies. We tested several models presented in low temperature plasmas literature and developed new expressions, based on CCC calculations, that successfully predicts both (high-energy) forward scattering and (low-energy) backward scattering for He, H, and H2. It is shown that the proposed approximations reliably predict elastic scattering dynamics, while also offering a straightforward analytic expression that can be implemented efficiently in particle-in-cell (PIC) / Monte Carlo (MC) modeling.

*This work was sopported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory (LANL) under project number 20200356ER. LANL is operated by Triad National Security, LLC, for the National Nuclear Security Administration of the U.S. Department of Energy under Contract No. 89233218NCA000001. This work was also supported by the United States Air Force Office of Scientific Research, The Australian Research Council, and resources provided by the Pawsey Supercomputing Centre, with funding from the Australian Government and Government of Western Australia. L.H.S. acknowledges the contribution of an Australian Government Research Training Program Scholarship, and the support of the Forrest Research Foundation.

Presenters

  • William Kupets

    • Los Alamos National Laboratory

Authors

  • William Kupets

    • Los Alamos National Laboratory
  • Nathan Garland

    • Los Alamos National Laboratory
  • James P Colgan

    • Los Alamos Natl Lab
    • LANL
  • Xianzhu Tang

    • Los Alamos Natl Lab
  • Liam Scarlett

    • Curtin Univ of Technology
  • Dmitry Fursa

    • Curtin Univ of Technology
  • Igor Bray

    • Curtin Univ of Technology
  • Mark C Zammit

    • Los Alamos National Laboratory
    • LANL