Positron Interactions with Some Human Body Organs Using Monte Carlo Probability Method

Main Article Content

Zaheer S. Mohammad
Jamal Mohammed Abda
https://orcid.org/0000-0003-2493-8776

Abstract

In this study, mean free path and positron elastic-inelastic scattering are modeled for the elements hydrogen (H), carbon (C), nitrogen (N), oxygen (O), phosphorus (P), sulfur (S), chlorine (Cl), potassium (K) and iodine (I). Despite the enormous amounts of data required, the Monte Carlo (MC) method was applied, allowing for a very accurate simulation of positron interaction collisions in live cells. Here, the MC simulation of the interaction of positrons was reported with breast, liver, and thyroid at normal incidence angles, with energies ranging from 45 eV to 0.2 MeV. The model provides a straightforward analytic formula for the random sampling of positron scattering. ICRU44 was used to compile the elemental composition data. In this work, elastic cross sections (ECS) and inelastic cross-sections (ICS) for positron interaction in human tissues were studied. The elastic scattering is obtained from the Rutherford differential cross-section. Gryzinski's excitation function is used within the first-born approximation to determine the core and valence of ICS. The results are presented graphically. The ECS increases rapidly as the scattering energy approaches zero and becomes dependent on the atomic number of elements in organs. The ICS has reached a maximum value of around 100 eV. Increasing positron energy leads to an increase in the elastic and inelastic mean free paths. The simulations agree with many other studies dealing with the same parameters and conditions.

Article Details

Section

Articles

Author Biographies

Zaheer S. Mohammad, Department of Physics, College of Science, University of Sulaimani, Sulaymaniyah, Iraq

 

 

 

 

 

Jamal Mohammed Abda, Department of Physics, College of Science, University of Sulaimani, Sulaymaniyah, Iraq

 

 

 

 

How to Cite

1.
Zaheer S. Mohammad, Abda JM. Positron Interactions with Some Human Body Organs Using Monte Carlo Probability Method. IJP [Internet]. 2022 Sep. 1 [cited 2024 Dec. 23];20(3):50-63. Available from: https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/1026

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