This report describes the development of a script programmed in the Python language designed to simulate radioactive decay using Monte Carlo methods. This is to conduct analysis on the equilibrium behavior of a specific radioactive decay chain, replacing the traditional method of deriving a mathematical representation via differential equations. The resulting script produces a stacked histogram illustrating the decay of Actinium-225 over time and more closely models the potential for irregularities in the natural phenomenon. The script has potential applications in nuclear imaging and medical physics.
"Developing a Monte Carlo Simulation for Time- Series Analysis of Actinium-225 Decay,"
The Journal of Advanced Undergraduate Physics Laboratory Investigations, JAUPLI-B: Vol. 3, Article 2.
Available at: https://digitalshowcase.lynchburg.edu/jaupli-b/vol3/iss1/2