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March 10, 2026Macromolecular Symposia2 citations

Investigation of Gamma‐Ray Attenuation in Shielding Metals: A Monte Carlo Simulation

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ASAmit Kumar SharmaNJNikita Jindal

Key Points

  • The research aims to analyze how different metals shield against gamma rays using Monte Carlo simulations.
  • Employed Geant4 software for modeling gamma ray interactions with metallic targets.
  • Simulated various metals including lead, bismuth, lanthanum, and aluminum.
  • Tested material thicknesses ranging from 2 to 8 cm.
  • Utilized gamma ray energies of 0.5 and 1 MeV for the simulations.
  • Measured transmitted gamma rays using a Scintillator detector.
  • Linear attenuation coefficients were obtained and compared with NIST XCOM data.
  • Increased material thickness correlated with decreased energy of transmitted gamma rays.
  • The relationship between thickness and linear attenuation coefficient was consistent across the tested materials.

Abstract

ABSTRACT Monte Carlo methods for modeling gamma ray irradiation on metallic targets to study radiation shielding properties of material using Geant4 software that offers several advantages in enhancing accuracy and efficiency. It enables real‐time and in‐situ simulations, focusing on application‐specific radiation shielding. In this work, the studies have made different models on Geant4 Software using C++ language for different metals like lead, bismuth, lanthanum, and aluminum with their thickness increasing from 2 to 8 cm, and gamma rays of energies 0.5 and 1 MeV are incident on them. The gamma ray transmits from material at different thicknesses are detected by the Scintillator detector, and the number of photons is calculated. The obtained linear attenuation coefficient value was further confirmed by comparing it with the NIST XCOM database. It is seen that the energy decreases with an increase in the thickness of the material, and also the linear attenuation coefficient at that thickness for a particular energy.

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Cite This Study

Sharma et al. (2026) studied this question.

synapsesocial.com/papers/69af94fa70916d39fea4c220https://doi.org/10.1002/masy.70312
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