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Calculation of electron interaction models in N2 and O2
F Nicolanti1, B Caccia2, A Cartoni3
1Physics Dep., Sapienza U. of Rome, p.le Aldo Moro, 5, 00185, Rome, Italy; INFN, Sec. of Rome, p.le Aldo Moro, 2, 00185, Rome, Italy.
Cosmic rays impact atmospheric chemistry via ion production. This study models electron interactions with nitrogen (N2) and oxygen (O2) molecules, providing crucial data for atmospheric simulations.
Area of Science:
- Atmospheric chemistry
- Plasma physics
- Computational physics
Background:
- Cosmic rays influence atmospheric composition and chemical reactions through ion production.
- Accurate atmospheric models require precise simulation of particle-molecule interactions, including ionization states and spatial distribution.
- Current models lack detailed interaction probabilities for electrons with atmospheric gases across a wide energy range.
Purpose of the Study:
- To develop and present a comprehensive set of cross-section models for electron interactions with N2 and O2 molecules.
- To provide reliable data for electron transport simulations in the atmosphere.
- To improve the accuracy of atmospheric models concerning cosmic ray effects.
Main Methods:
- Development of elastic and inelastic cross-section models for electron scattering.
- Simulation of electron transportation in nitrogen and oxygen.
- Calculation of stopping power for validation.
Main Results:
- A set of cross-section models for electron interactions with N2 and O2 was generated, valid for energies from 10 eV to 1 MeV.
- Calculated results show good agreement with existing theoretical and experimental data.
- Stopping power calculations demonstrated good consistency, with relative differences below 6% compared to the ESTAR database.
Conclusions:
- The developed cross-section models provide a reliable basis for simulating electron transport in the atmosphere.
- These findings contribute to a better understanding of cosmic ray-induced atmospheric chemistry.
- The study offers essential data for enhancing the accuracy of atmospheric models.
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