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Updated: Jan 8, 2026
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Spatial Separation of Molecular Conformers and Clusters
Published on: January 9, 2014
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Strong-field ionization in particle-in-cell simulations.
A A Mironov1, E G Gelfer2,3, I I Tupitsyn4
1Center for Theoretical Physics (CPHT), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France.
Physical Review. E
|December 23, 2025
Summary
Simulating multiple atomic ionization in intense fields requires advanced methods. This study introduces a new algorithm for particle-in-cell codes to accurately model nonsequential tunnel ionization, improving laser-plasma interaction simulations.
Area of Science:
- Plasma Physics
- Atomic Physics
- Computational Physics
Background:
- Simulating laser-plasma interactions requires accurate modeling of atomic ionization.
- Existing particle-in-cell (PIC) codes face challenges in precisely describing multiple ionization events in high-intensity electromagnetic fields.
- Sequential tunnel ionization models have limitations and inconsistencies.
Purpose of the Study:
- To address the limitations of sequential ionization models in PIC simulations.
- To develop and implement an algorithm for accurately capturing nonsequential tunnel ionization pathways.
- To improve the precision of laser-plasma interaction simulations by enhancing ionization modeling.
Main Methods:
- Revisiting Smirnov-Chibisov and Perelomov-Popov-Terent'yev ionization rate formulas.
- Developing an algorithm to identify dominant nonsequential ionization paths.
- Implementing the new ionization algorithm in the SMILEI PIC code, including magnetic quantum number dependence.
- Conducting full simulations of argon ionization by high-intensity laser pulses.
Main Results:
- Identified limitations and inconsistencies in sequential tunnel ionization models.
- Developed and implemented a novel algorithm to accurately determine dominant nonsequential ionization pathways.
- The new algorithm significantly improves the precision of ionization simulations within the SMILEI code.
- Demonstrated the impact of ionization model variations on simulation outcomes.
Conclusions:
- Accurate modeling of nonsequential ionization is crucial for precise laser-plasma simulations.
- The proposed algorithm offers a significant advancement in simulating multiple ionization processes in PIC codes.
- Further research into barrier suppression ionization models is needed for high-field applications.
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