Model for computing superconfiguration temperatures in nonlocal-thermodynamic-equilibrium hot plasmas

Area of Science:

• Plasma Physics
• Atomic Physics
• Computational Physics

Background:

• Accurately modeling level-population densities in hot dense plasmas is crucial for understanding plasma behavior and spectral properties.
• Traditional methods struggle with the vast number of atomic levels involved in such systems.

Purpose of the Study:

• To develop a simplified yet accurate model for calculating level-population densities in hot dense plasmas.
• To enable efficient computation of plasma properties, including ionic distribution and average charge.
• To provide a foundation for accurate spectral simulations and time-dependent calculations.

Main Methods:

• Utilizing large nonrelativistic superconfigurations (SC's) to represent atomic level structures.
• Applying a Boltzmann-like decreasing-exponential law for configuration populations.
• Solving two systems of linear equations to determine SC average-state population densities and SC temperatures.
• Accounting for a large number of atomic levels in a computationally efficient manner.

Main Results:

• The model successfully determines average-state population densities and temperatures for superconfigurations.
• It provides accurate calculations of configuration populations, ionic distribution, and average charge.
• The model yields accurate simulations of plasma spectra, essential for emissivity and absorption calculations.

Conclusions:

• The presented superconfiguration model offers a simplified and effective approach to describing hot dense plasmas.
• This method allows for accurate spectral simulations and opens possibilities for time-dependent plasma modeling.
• The model enhances the understanding of atomic physics in extreme plasma conditions.