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Area of Science:

  • Plasma Physics
  • Computational Physics
  • Numerical Simulations

Background:

  • Binary Monte Carlo (MC) collision algorithm is standard for Coulomb collisions in particle-in-cell (PIC) simulations.
  • Accurate simulation of plasma behavior requires robust collision modeling.

Purpose of the Study:

  • Investigate numerical heating in coupled PIC-MC plasma simulations.
  • Identify the source of nonphysical heating and propose mitigation strategies.

Main Methods:

  • Analysis of the coupling between PIC and MC algorithms.
  • Analytical description of the inconsistency causing numerical heating.
  • Evaluation of the impact of heating on long-term simulations.

Main Results:

  • Coupling PIC and MC algorithms introduces significant nonphysical numerical heating.
  • Heating originates from an inconsistency between MC particle motion and PIC electromagnetic field interactions.
  • This MC-induced heating affects simulations over extended periods (≳10^3 collision periods).

Conclusions:

  • The PIC-MC coupling can lead to artificial energy production and plasma heating.
  • Understanding and mitigating this numerical heating is crucial for accurate long-term plasma simulations.
  • Strategies to minimize MC-induced heating are discussed.