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Nonconservative charged-particle swarms in ac electric fields
R D White1, R E Robson, K F Ness
1School of Computer Science, Mathematics and Physics, James Cook University, Cairns QLD 4870, Australia.
Summary
A new technique accurately calculates charged-particle transport coefficients in electric fields, revealing striking effects of nonconservative processes like attachment and ionization.
Area of Science:
- Plasma Physics
- Atomic and Molecular Physics
- Computational Physics
Background:
- Solving the Boltzmann equation is crucial for understanding charged-particle swarms.
- Traditional methods face limitations in electric field amplitude, frequency, and mass ratio.
- Incorporating nonconservative processes (ionization, attachment) is essential for accurate modeling.
Purpose of the Study:
- Develop and apply a time-dependent multi-term technique to solve the Boltzmann equation for charged-particle swarms in AC electric fields.
- Accurately calculate transport coefficients and the phase-space distribution function.
- Investigate the explicit effects of nonconservative processes on transport coefficients.
Main Methods:
- Developed a time-dependent multi-term technique.
- Solved the space- and time-dependent Boltzmann equation.
- Calculated transport coefficients and phase-space distribution function.
Main Results:
- The technique accurately calculates transport coefficients and the phase-space distribution function.
- It overcomes limitations of field amplitude, frequency, and mass ratio.
- Demonstrated the first rigorous treatment of explicit nonconservative process effects on transport coefficients in AC fields.
- Observed striking phenomena, such as negative phase lags in drift velocity for attaching gases.
Conclusions:
- The developed technique provides a rigorous and accurate method for studying charged-particle swarms in AC electric fields.
- Explicitly accounting for nonconservative processes is critical for precise transport coefficient calculations.
- Traditional treatments of ionization and attachment introduce significant errors.