Abstract
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.
Recommended Citation
Wood, Victoria
(2014)
"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