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Design and Synthesis of a Reconfigurable DNA Accordion Rack
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Geant4-DNA development for atmospheric applications: N2, O2 and CO2 models implementation.

F Nicolanti1, B Caccia2, A Cartoni3

  • 1Physics Dep., Sapienza U. of Rome, p.le Aldo Moro, 2, 00185, Rome, Italy; INFN, Sec. of Rome, p.le Aldo Moro, 2, 00185, Rome, Italy.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|November 29, 2024
PubMed
Summary
This summary is machine-generated.

This study enhances the Geant-DNA toolkit with new models for electron-molecule interactions in atmospheric gases like nitrogen, oxygen, and carbon dioxide, crucial for understanding cosmic ray impacts on atmospheric chemistry and climate.

Keywords:
Atmosphere ionizationElectron cross sectionsGeant4-DNAMonte Carlo simulationParticle track structure

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Area of Science:

  • Atmospheric Chemistry
  • Computational Physics
  • Radiation Physics

Background:

  • Cosmic rays ionize atmospheric gases, influencing chemical reactions and atmospheric composition.
  • Accurate particle-molecule interaction models are essential for quantifying these effects.
  • The Geant-DNA toolkit is being expanded for atmospheric science applications.

Purpose of the Study:

  • To extend the Geant-DNA toolkit with validated electron impact interaction models for atmospheric molecules.
  • To incorporate electron cross sections for carbon dioxide, a key greenhouse gas.
  • To enable quantitative analysis of ion-molecule reactions in the atmosphere.

Main Methods:

  • Extended validation of electron impact interaction models for nitrogen (N2) and oxygen (O2) up to 10 MeV.
  • Introduced new electron cross sections for carbon dioxide (CO2).
  • Implemented these cross section models in the Geant4-DNA toolkit and validated them using stopping power and range simulations.

Main Results:

  • Differential cross sections showed good agreement with analytical calculations and literature data for N2, O2, and CO2.
  • Simulations of stopping power and range for N2, O2, CO2, and air demonstrated agreement within 6% of ESTAR database reference data.
  • Successful implementation and validation of the new models within Geant4-DNA.

Conclusions:

  • The implemented cross section models for N2, O2, and CO2 are now available in the Geant4-DNA toolkit.
  • This advancement is critical for quantitatively studying atmospheric ionic reactive chemical networks.
  • The toolkit enables better assessment of ionization's impact on atmospheric chemistry and climate implications.