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A MONTE CARLO TOOL FOR MULTI-TARGET NANODOSIMETRY.

A Selva1,2, V Conte1, P Colautti1

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A new Monte Carlo simulation tool models charged particle ionization in multi-target environments. It analyzes secondary electron patterns in nanometric targets within a water phantom, aiding radiation research.

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Area of Science:

  • Medical Physics
  • Computational Biology
  • Radiation Science

Background:

  • Understanding charged particle interactions is crucial for radiation therapy and dosimetry.
  • Simulating complex biological targets requires advanced computational tools.

Purpose of the Study:

  • To develop and validate a Monte Carlo simulation tool for studying ionization patterns in multi-target environments.
  • To investigate the impact of target geometry and electron transport on dose deposition.

Main Methods:

  • Utilized Geant4-DNA for physical models in a custom Monte Carlo simulation.
  • Simulated nanometric target spheres within a water phantom under ion irradiation.
  • Performed simulations with full and restricted secondary electron transport.

Main Results:

  • The simulation tool allows for flexible and interactive geometry setup.
  • Preliminary results show differences in ionization patterns based on electron transport simulation scope.
  • The study highlights the importance of secondary electron behavior in nanodosimetry.

Conclusions:

  • The developed Monte Carlo tool is effective for simulating ionization in complex multi-target systems.
  • Further research is needed to fully elucidate the role of secondary electrons in nanometric environments.
  • This tool can advance the understanding of radiation effects at the nanoscale.