Predicting hot electron generation in inertial confinement fusion with particle-in-cell simulations

Area of Science:

• Plasma Physics
• Fusion Energy
• Computational Physics

Background:

• Hot electron generation is a key factor in direct-drive inertial confinement fusion (ICF).
• Understanding hot electron dynamics is crucial for optimizing ICF performance and predicting experimental outcomes.

Purpose of the Study:

• To investigate hot electron generation in direct-drive ICF using particle-in-cell simulations.
• To develop predictive scaling laws for hot electron fraction and temperature.
• To enable the prediction of temporal histories of hot electron generation and hard x-ray emissions.

Main Methods:

• Two-dimensional particle-in-cell simulations were performed.
• Speckled laser drivers were utilized to model realistic laser conditions.
• Simulations focused on the quarter-critical density region of the plasma.
• Hydrodynamic simulation data was integrated to predict temporal histories.

Main Results:

• Scaling laws were established for hot electron fraction and temperature based on laser and plasma parameters.
• The developed scaling laws accurately predict the temporal history of hot electron generation.
• Predictions for hard x-ray emissions in OMEGA warm target implosions were consistent with experimental data.

Conclusions:

• The derived scaling laws provide a valuable tool for understanding and predicting hot electron generation in ICF.
• These findings can be integrated into ICF design codes to enhance simulation accuracy.
• The study contributes to the advancement of inertial confinement fusion research and development.