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Scattering And Absorption of Light in Planetary Regoliths
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Positron backscattering from solid targets: Modeling of scattering processes via various approaches.

B Kribaa1, Z Rouabah1, C Le Loirec2

  • 1Materials and Electronic Systems Laboratory (LMSE), University of Bordj Bou Arreridj, 34000 Bordj Bou Arreridj, Algeria.

Micron (Oxford, England : 1993)
|May 21, 2016
PubMed
Summary

This study simulates positron backscattering from various solid targets using Monte Carlo methods. Polynomial functions were developed to predict positron backscattering coefficients, simplifying future calculations.

Keywords:
Elastic cross sectionsInelastic cross sectionsMonte Carlo simulationPositron backscattering

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Area of Science:

  • Physics
  • Materials Science
  • Computational Physics

Background:

  • Positrons are fundamental particles with applications in materials analysis and fundamental physics.
  • Understanding positron interactions with matter is crucial for various scientific and technological fields.
  • Previous studies have investigated positron scattering, but comprehensive models for a wide range of targets are needed.

Purpose of the Study:

  • To simulate and analyze positron backscattering from solid targets using Monte Carlo methods.
  • To investigate the relationship between positron backscattering coefficients and target atomic number.
  • To develop predictive polynomial functions for positron backscattering coefficients.

Main Methods:

  • Monte Carlo simulations were employed to model positron scattering.
  • Elastic and inelastic scattering cross-sections were calculated using classical and quantum mechanical approaches.
  • Simulations covered positron energies from 1-4 keV and targets from Beryllium (Z=4) to Gold (Z=79) at normal incidence.

Main Results:

  • Positron backscattering coefficients were calculated for various solid targets.
  • The simulation results showed good agreement with existing literature data.
  • A clear dependence of the backscattering coefficient on the target's atomic number was observed.

Conclusions:

  • The study successfully simulated positron backscattering and validated the results against literature.
  • Polynomial functions were proposed as an efficient alternative to Monte Carlo simulations for predicting backscattering coefficients.
  • These functions offer a simplified approach for estimating positron backscattering across a range of atomic numbers.